Publications

Peer-reviewed publications

2020

  • Anaya, J.A., Gutiérrez-Vélez, V.H., Pacheco-Pascagaza, A.M., Palomino-Ángel, S., Han, N. & Balzter, H. (in press): Drivers of forest loss in a megadiverse hotspot on the Pacific Coast of Colombia. Remote Sensing 12, 1235. https://doi.org/10.3390/rs12081235.
  • Anderson Clare, Barer Michael, Brown Gavin, Coats Timothy, Davies Sarah, Green William, Hansell Anna, Heintz Maggy, Hughes Jason, Kefalidou Genovefa, King Charlotte, Morrissey Julie, Page Susan, Pareek Manish, Sembhi Harjinder, Story Joanna, Upton Caroline, Wain Louise, Williams Mark. Reflections invited from ASG Critical Friend, Dr Laura Meagher (2020) Interdisciplinary research and pandemics. LIAS Working Paper Series, University of Leicester. https://journals.le.ac.uk/ojs1/index.php/lias
  • Burrell, A.L., Evans, J.P., De Kauwe, M.G., 2020. Anthropogenic climate change has driven over 5 million km2 of drylands towards desertification. Nature Communications 11, 3853. https://doi.org/10.1038/s41467-020-17710-7
  • Carreiras JMB, Quegan S., Tansey K., Page S.E. - Environmental Research Letters, 2020
  • Da Conceição Bispo, P., Rodriguez-Veiga, P., Zimbres, B., do Couto de Miranda, S., Giusti Cezare, C.H., Fleming, S., Baldacchino, F., Zanin Shimbo, J., Auxiliadora Costa Alencar, A., Roitman, I., Bustamante, M., Pacheco-Pascagaza, A.M., Gou, Y., Roberts, J., Louis, V., Barret, K., Woodhouse, I., Sousa-Neto, E., Ometto, J.P.H.B., Balzter, H. (2020): Estimating the Above Ground Biomass of Brazilian Savanna using multi-sensor approach, in: EGU General Assembly Conference Abstracts, p. 20531.
  • Da Conceição Bispo, P.; Rodríguez-Veiga, P.; Zimbres, B.; do Couto de Miranda, S.; Henrique Giusti Cezare, C.; Fleming, S.; Baldacchino, F.; Louis, V.; Rains, D.; Garcia, M.; Del Bon Espírito-Santo, F.; Roitman, I.; Pacheco-Pascagaza, A.M.; Gou, Y.; Roberts, J.; Barrett, K.; Ferreira, L.G.; Shimbo, J.Z.; Alencar, A.; Bustamante, M.; Woodhouse, I.H.; Eyji Sano, E.; Ometto, J.P.; Tansey, K.; Balzter, H. Woody Aboveground Biomass Mapping of the Brazilian Savanna with a Multi-Sensor and Machine Learning Approach. Remote Sens. 2020, 12, 2685. https://doi.org/10.3390/rs12172685.
  • Davenport Ian, McNicol Iain, Mitchard Edward, Dargie Greta, Suspense Ifo, Milongo Brice, Bocko Yannick, Hawthorne Donna, Lawson Ian, Baird Andy, Page Susan, Lewis Simon (2020) First evidence of peat domes in the Congo Basin using LiDAR from fixed-wing drone. Remote Sensing, 12, 2196; doi:10.3390/rs12142196
  • Sentinel-1 observation frequency significantly increases burnt area detectability in tropical SE Asia https://iopscience.iop.org/article/10.1088/1748-9326/ab7765
  • Cumming, A., Newman, T., Benson, S., Balzter, H., Evans, C., Jones, D., Kaduk, J, Morrison, R. & Page, S. (2020): Eddy Covariance measurements of carbon dioxide, energy and water flux at an intensively cultivated lowland deep peat soil, East Anglia, UK, 2012 to 2020. EIDC 3 April 2020, https://doi.org/10.5285/13896773-01e5-48e6-bfab-c319de46b221
  • Deshmukh, C.S., Julius, D., Evans, C.D., Nardi, , Susanto, A.P., Page, S.E., Gauci, V., Laurén, A., Sabiham, S., Agus, F., Asyhari, A., Kurnianto, S., Suardiwerianto, Y. and Desai, A.R. (2020): Impact of forest plantation on methane emissions from tropical peatland. Global Change Biology, Accepted Author Manuscript. https://doi.org/10.1111/gcb.15019
  • Fløjgaard, C., Pedersen, P.B.M., Sandom, C. J., Svenning, J.C., Ejrnæs, R. Exploring a natural baseline for large herbivore biomass. (submitted to Global Change Biology) https://www.biorxiv.org/content/10.1101/2020.02.27.968461v1
  • Goldstein, A., Turner, W., Spawn, S., Hole, D., Anderson-Teixeira, K., Fargione, J., Griscom, B., Harris, N., Howard, J., Ledezma, J.C., Page, S., Cook-Patton, S., Koh, L.P. & Sanderman, J. (2020) Managing irreplaceable carbon in Earth’s ecosystems. Nature Climate Change, https://doi.org/10.1038/s41558-020-0738-8
  • Ibrahim, S., Balzter, H., Tansey, K., Kaduk, J. and Lawal, U.M. (in press): Detecting phenological changes in plant functional types over West African savannah dominated landscape. International Journal of Remote Sensing. https://doi.org/10.1080/01431161.2020.1811914
  • Mendes de Moura, Y., Balzter, H., Galvão, L.S., Dalagnol, R., Espírito-Santo, F., Santos, E.G., Garcia, M., Bispo, P., Oliveira, R.C. & Shimabukuro, Y.E. (2020): Carbon Dynamics in a Human-Modified Tropical Forest: A Case Study Using Multi-Temporal LiDAR Data. Remote Sensing 12, 430. https://doi.org/10.3390/rs12030430
  • Mulholland, B., Abdel-Aziz, I., Lindsay, R., McNamara, N., Keith, A., Page, S., Clough, J., Freeman, B. Evans, C., (2020) An assessment of the potential for paludiculture in the UK. Report to Defra for project SP1218: Managing agricultural systems on lowland peat for decreased greenhouse gas emissions whilst maintaining agricultural productivity.
  • Munyati, C., Balzter, H. & Economon, E. (2020): Correlating Sentinel-2 MSI-derived vegetation indices with in-situ reflectance and tissue macronutrients in savannah grass. International Journal of Remote Sensing, 41:10, 3820-3844, https://doi.org/10.1080/01431161.2019.1708505
  • Nie J, Ren H., Zheng Y., Ghent D. and Tansey K., "Land Surface Temperature and Emissivity Retrieval From Nighttime Middle-Infrared and Thermal-Infrared Sentinel-3 Images," in IEEE Geoscience and Remote Sensing Letters, https://doi.org/10.1109/LGRS.2020.2986326
  • Nie, J., Ren, H., Zheng, Y., Ghent, D., and Tansey, K., 2020, Land surface temperature and emissivity retrieval from night time middle-infrared and thermal-infrared Sentinel-3 images. IEEE Geoscience and Remote Sensing Letters, https://ieeexplore.ieee.org/document/9093031
  • Page, S.E. (2020) Introduction: why map and monitor peatlands? In: Peatlands mapping and monitoring – Recommendations and technical overview. FAO, Rome. https://doi.org/10.4060/ca8200en
  • Page, S., Baird, A., Cumming, A., High, K., Kaduk, J. & Evans, C. (2020) An assessment of the societal impacts of water level management on lowland peatlands in England and Wales. Report to Defra for Project SP1218: Managing agricultural systems on lowland peat for decreased greenhouse gas emissions whilst maintaining agricultural productivity, 53 pp.
  • Pandey, P.C., Srivastava, P.K., Balzter, H., Bhattacharya, B. and Petropoulos, G.P. (2020): Hyperspectral Remote Sensing: Theory and Applications. Elsevier, Amsterdam. ISBN 978-0-08-102894-0. DOI https://lnkd.in/dhzny_C
  • Rasul, GRF Ibrahim, HM Hameed, K Tansey - A trend of increasing burned areas in Iraq from 2001 to 2019 A Environment, Development and Sustainability (2020) …, 2020 https://link.springer.com/article/10.1007/s10668-020-00842-7
  • Rasul, A. and Balzter, H. (2020): Relationship between Monthly Climatic Variables and Worldwide Confirmed COVID-19 Cases (June 13, 2020). Available at SSRN: https://ssrn.com/abstract=3626108 or http://dx.doi.org/10.2139/ssrn.3626108
  • Rayner, M. (2020). Fine resolution land cover map of the Upper Welland Catchment, UK for 2018. NERC Environmental Information Data Centre. (Dataset). https://doi.org/10.5285/63b748ee-22a4-42ca-8a34-20321f6ab8af
  • Roberts, J., Balzter, H., Gou, Y., Louis, V. & Robb, C. (2020): PYEO: Automated satellite imagery processing. doi:10.5281/zenodo.3689674
  • Rodríguez-Veiga, P., Carreiras, J., Smallman, T.L., Exbrayat, J.-F., Ndambiri, J., Mutwiri, F., Nyasaka, D., Quegan, S., Williams, M. and Balzter, H. (2020): Carbon Stocks and Fluxes in Kenyan Forests and Wooded Grasslands Derived from Earth Observation and Model-Data Fusion. Remote Sensing 12, 2380. https://doi.org/10.3390/rs12152380
  • Santoro, M., Cartus, O., Carvalhais, N., Rozendaal, D., Avitabile, V., Araza, A., de Bruin, S., Herold, M., Quegan, S., Rodríguez Veiga, P., Balzter, H., Carreiras, J., Schepaschenko, D., Korets, M., Shimada, M., Itoh, T., Moreno Martínez, A., Cavlovic, J., Cazzolla Gatti, R., da Conceição Bispo, P., Dewnath, N., Labrière, N., Liang, J., Lindsell, J., Mitchard, E.T.A., Morel, A., Pacheco Pascagaza, A.M., Ryan, C.M., Slik, F., Vaglio Laurin, G., Verbeeck, H., Wijaya, A., & Willcock, S. (submitted): The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations. Earth System Science Data https://doi.org/10.5194/essd-2020-148
  • Thornton, S., Setiana, E., Yoyo, K., Dudin, Harrison, M., Yulintine, Page, S. & Upton, C. (2020) Towards biocultural approaches to peatland conservation in Indonesia: The case for fish and livelihoods. Environmental Science and Policy, 114, 341-351.
  • Trevisan, D.P., Bispo, P.C., Almeida, D., Imani, M., Balzter, H. & Moschini, L.E. (2020): Environmental vulnerability index: An evaluation of the water and the vegetation quality in a Brazilian Savanna and Seasonal Forest biome. Ecological Indicators 112, 106163, https://doi.org/10.1016/j.ecolind.2020.106163
  • Vernimmen, R., Hooijer, A., Akmalia, R., Fitranatanegara, N., Mulyadi, D., Yuherdha, A., Andreas, H., Page, S., 2020. Mapping deep peat carbon stock from a LiDAR based DTM and field measurements, with application to eastern Sumatra. Carbon Balance and Management 15, 4. https://doi.org/10.1186/s13021-020-00139-2
  • Whelan, M.J., Ramos, A., Guymer, I., Villa, R., Jefferson, B. & Rayner, M. (2020) A new conceptual model of pesticide transfers from agricultural land to surface waters with a specific focus on metaldehyde. ENVIRONMENTAL SCIENCE-PROCESSES & IMPACTS DOI: 10.1039/c9em00492k
  • Zhou, X., Wang, P., Tansey, K., Zhang, S., Li, H., Tian, H., 2020, Reconstruction of time series leaf area index for improving wheat yield estimates at field scales by fusion of Sentinel-2, -3 and MODIS imagery. Computers and Electronics in Agriculture, 177, 105692, doi.org/10.1016/j.compag.2020.105692

2019

  • Baird, A.J., Evans, C.D., Mills, R., Page, S.E., Peacock, M., Reed, M., Robroek, B., Swindles, G.T., Thom, T., Waddington, J.M. & Young, D.M. (2019) Validity of managing peatlands with fire. Nature Geoscience, 12, 884–885.
  • Barrett, K., Baxter, R., Kukavskaya, E., Balzter, H., Shvetsov, E. and Buryak, L. (2020): Postfire recruitment failure in Scots pine forests of southern Siberia. Remote Sensing of Environment, 237, p.111539. https://doi.org/10.1016/j.rse.2019.111539
  • Coleman, J. et al., incl. Page, S.E. (2019) Top 100 research questions for biodiversity conservation in SE Asia. Biological Conservation, 234, 211-220. https://doi.org/10.1016/j.biocon.2019.03.028
  • Ibrahim, S., Balzter, H., Tansey, K., Mathieu, R. & Tsutsumida, N. (2019): Impact of soil reflectance variation correction on woody cover estimation in Kruger National Park using MODIS data. Remote Sensing 11(8), 898. https://doi.org/10.3390/rs11080898
  • Leifeld, J., Wust-Galley, C. & Page, S.E. (2019) Intact and managed peatland soils as a source and sink of GHGs from 1850 to 2100. Nature Climate Change, https://doi.org/10.1038/s41558-019-0615-5
  • Matysek, M., Leake, J., Banwart, S., Johnson, I., Page, S., Kaduk, J., Smalley, A., Cumming, A. & Zona, D. (2019) Impact of fertilizer, water table, and warming on CO2 and CH4 soil emissions and celery yield from fenland agricultural peat. Science of the Total Environment, 667, 179-190. https://doi.org/10.1016/j.scitotenv.2019.02.360
  • Onyia, N.N., Balzter, H. & Berrio, J.C. (2019): Spectral Diversity Metrics for Detecting Oil Pollution Effect on Biodiversity in the Niger Delta. Remote Sensing, 11, 2662. https://doi.org/10.3390/rs11222662
  • Ozigis, M., Kaduk, J., Jarvis, C., Bispo, P.C., Balzter, H. 2019. Detection of oil pollution impacts on vegetation using multifrequency SAR, multispectral images with fuzzy forest and random forest methods, Environmental Pollution, doi: https://doi.org/10.1016/j.envpol.2019.113360.
  • Peacock M, Gauci V, Baird AJ, Burden A, Chapman PJ, Cumming A, Evans JG, Grayson RP, Holden J, Kaduk J, Morrison R, Page S, Pan G, Ridley LM, Williamson J, Worrall F, Evans CD (2019) The full carbon balance of a rewetted cropland fen and a conservation-managed fen. AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 269, pp. 1-12 10.1016/j.agee.2018.09.020 http://hdl.handle.net/2381/43518
  • Pedersen PBM, Olsen JB, Sandel B, Svenning J-C (2019). Wild Steps in a semi-wild setting? Habitat selection and behaviour of European bison reintroduced to an enclosure in an anthropogenic landscape. PLoS ONE 14(11): e0198308
  • Pôssa, ÉM; Gama, FF; Santos, JR; Mura, JC; Bispo, PC. Análise de uso da terra e cobertura florestal na Amazônia central, a partir de dado polarimétrico PALSAR/ALOS-1 e coerência interferométrica TanDEM-X. Revista Brasileira de Geografia Fisica, 2018. 11(6), 2094-2108 (in Portuguese).
  • Ray-Bennett, N.S., Corsel, D. and Goswami, N. (2019) Exploring the Challenges and Opportunities Around Reproductive Health in Disasters in Belkuchi Upazila, Bangladesh. London: IPPF. https://www.ippf.org/sites/default/files/2019-04/IPPF%20Innovation%20Report%20Bangladesh%20RHCC.pdf
  • Ray-Bennett, N.S., Corsel, D. and Goswami N. (2019) Policy Brief RHCCC: Improving the quality of post-abortion care during floods in Belkuchi, Bangladesh. Innovation Programme, IPPF, IPPF-SARO and University of Leicester. https://www.ippf.org/sites/default/files/2019-04/IPPF%20Innovation%20Policy%20Brief%20RHCC%20Approach_0.pdf
  • Ray-Bennett, N.S., Corsel, D. and Goswami N. (2019) Policy Brief RHCC: Facilitating Opportunities for Reproductive Health Care during a flood in Bangladesh. Innovation Programme, IPPF, IPPF-SARO and University of Leicester. https://www.ippf.org/sites/default/files/2019-04/IPPF%20Innovation%20Policy%20Brief%20PAC.pdf
  • Rodríguez-Veiga, P., Barbosa-Herrera, A. P., Barreto-Silva, J. S., Bispo, P. C., Cabrera, E., Capachero, C., Galindo, G., Gou, Y., Moreno, L. M., Louis, V., Lozano, P., Pacheco-Pascagaza, A. M., Pachon-Cendales, I. P., Phillips-Bernal, J. F., Roberts, J., Salinas, N. R., Vergara, L., Zuluaga, A. C. & Balzter, H. 2019. Mapping The Spatial Distribution of Colombia’s Forest Aboveground Biomass Using SAR and Optical data. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W7, 57-60, http:/dx.doi.org/10.5194/isprs-archives-XLII-3-W7-57-2019, ISSN: 2194-9034.
  • Rodriguez-Veiga, P., Tansey, K. and Balzter, H (2019) Mapping forest aboveground biomass stocks and changes over the Yucatan peninsula. Sensed. p16-19, issue 74, Oct 2019. https://www.rspsoc.org.uk/images/SENSED/SENSED_201910_October2019_WEB.pdf
  • Scaranello M.A.S., Keller M., Longo M., Santos M.N., Leitold V., Morton D.C., Pinagé E.R., and Espírito-Santo F.D.B. Estimation of coarse woody debris stocks in intact and degraded forests in the Brazilian Amazon using airborne lidar. Biogeosciences. https://doi.org/10.5194/bg-16-3457-2019
  • Silveira E.M.O., Espírito-Santo F.D.B, Acerbi-Junior F.W., Carvalho M.C., Mello C.R., Shimabukuro Y.E., Scolforo J.R.S., and Wulder M.A. (2019) Pre-stratified modelling plus residuals kriging reduces the uncertainty of aboveground biomass estimation and spatial distribution in heterogeneous savannas and forest environments. Forest Ecology and Management. 445: 96-109. https://doi.org/10.1016/j.foreco.2019.05.016
  • Sun, Y.; Wang, Q.; Tansey, K.; Ullah, S.; Liu, F.; Zhao, H.; Yan, L. Multi-Constrained Optimization Method of Line Segment Extraction Based on Multi-Scale Image Space. ISPRS Int. J. Geo-Inf. 2019, 8, 183, https://doi.org/10.3390/ijgi8040183. Delivered as part of the China collaboration
  • Tejada, G., Görgens, E.B., Espírito-Santo, F.D.B., Cantinho, R.Z., Ometto, J.P., 2019. Evaluating spatial coverage of data on the aboveground biomass in undisturbed forests in the Brazilian Amazon. Carbon Balance and Management 14, 11. https://doi.org/10.1186/s13021-019-0126-8
  • Tian, H., Wang, P., Tansey, K., Zhang, S., Zhang, J., and Li, H., 2020, An IPSO-BP neural network for estimating wheat yield using two remotely sensed variables in the Guanzhong Plain, PR China. Computers and Electronics in Agriculture, 169, 105180, https://doi.org/10.1016/j.compag.2019.105180
  • Thornton, S., Cook, S., Astiani, D., Hapsari, K., Varkkey, H., Cole, L., Dargie, G., Sjogersten, S., Zawai, N. & Page, S.E. (2019) ‘Pushing the limits’: Experiences of women in tropical peatland research. Marine & Freshwater Research, https://doi.org/10.1071/MF19132.
  • Tsutsumida, N., Nagai, S., Rodríguez-Veiga, P., Katagi, J., Nasahara, K. & Tadono, T. 2019. Mapping Spatial Accuracy of Forest Type Classification in Jaxa’s High-Resolution Land Use and Land Cover Map. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3/W1, 57-63, http:/dx.doi.org/10.5194/isprs-annals-IV-3-W1-57-2019, ISSN: 2194-9050.
  • Xingbang Hu, Huazhong Ren, Kevin Tansey, Yitong Zheng, Darren Ghent, Xufang Liu, Lei Yan, 2019, Agricultural drought monitoring using European Space Agency Sentinel 3A land surface temperature and normalized difference vegetation index imageries, Agricultural and Forest Meteorology, 279, https://doi.org/10.1016/j.agrformet.2019.107707
  • Zhang, Y., Wang, X., Balzter, H., Qiu,B. & Cheng, J. (2019): Directional and zonal analysis of urban thermal environmental change in Fuzhou as an indicator of urban landscape transformation. Remote Sensing 11, 2810; https://doi.org/10.3390/rs11232810
  • Zheng, Y., Ren, H, Guo, J., Ghent, D., Tansey, K., Hu, H., Nie, J., and Chen, S., 2019, Land Surface Temperature Retrieval from Sentinel- 3A Sea and Land Surface Temperature Radiometer, Using a Split-Window Algorithm. Remote Sensing 2019, 11, 650; doi:10.3390/rs11060650
  • Zhou, X., Wang, P., Tansey, K., Zhang, S., Li, H., and Wang, L., 2020, Developing a fused vegetation temperature condition index for drought monitoring at field scales using Sentinel-2 and MODIS imagery. Computers and Electronics in Agriculture, 168, 105144, https://doi.org/10.1016/j.compag.2019.105144
  • Zhou, X., Wang, P., Tansey, K., Ghent, D., Zhang, S., Li, H. and Wang, L., 2019. Drought Monitoring Using the Sentinel-3-Based Multiyear Vegetation Temperature Condition Index in the Guanzhong Plain, China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. doi: 10.1109/JSTARS.2019.2953955. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8920222&isnumber=4609444
  • Zhu, Y., Li, X., Pearson, S., Wu, D., Sun, R., Johnson, S., Wheeler, J. and Fang, S. 2019. Evaluation of Fengyun-3C Soil Moisture Products Using In-Situ Data from the Chinese Automatic Soil Moisture Observation Stations: A Case Study in Henan Province, China. Water 11(2), 248

2018

  • Ameen, B., Balzter, H. & Jarvis, C. (2018): Quality Control of Global Horizontal Irradiance Estimates through BSRN, TOACs and Air Temperature/Sunshine Duration Test Procedures. Climate 6, 69. doi:10.3390/cli6030069. http://www.mdpi.com/2225-1154/6/3/69
  • Ameen, B., Balzter, H., Jarvis, C., Way, E., Thomas, C. & Marchand, M. (2018): Validation and Comparison of Hourly Global Horizontal Irradiance for two Satellite-Derived Databases over nine Stations in Iraq. Remote Sensing 10(10), 1651. doi:10.3390/rs10101651. https://www.mdpi.com/2072-4292/10/10/1651/htm
  • Ameen, B., Balzter, H., Jarvis, C. & Wheeler, J. (2019): Modelling Hourly Global Horizontal Irradiance from Satellite-Derived Datasets and Climate Variables as New Inputs with Artificial Neural Networks. Energies 2019, 12(1), 148; doi: 10.3390/en12010148. https://www.mdpi.com/1996-1073/12/1/148/htm (Journal impact factor = 2.676)
  • Carreiras, J.M.B. & Rodriguez-Veiga, P. (2018): Editorial for Special Issue: “Remote Sensing of Forest Cover Change.” Remote Sensing 11. https://doi.org/10.3390/rs11010038 (Journal impact factor = 3.406)
  • Cole, B., Smith, G. and Balzter, H. (2018): Acceleration and fragmentation of CORINE land cover changes in the United Kingdom from 2006–2012 detected by Copernicus IMAGE2012 satellite data. International Journal of Applied Earth Observation and Geoinformation 73, 107–122. https://doi.org/10.1016/j.jag.2018.06.003
  • Dargie, G., Lawson, I., Rayden, T., Miles, L., Mitchard, E., Page, S., Bocko, Y., Ifo, S. & Lewis, S. (2018) Congo Basin peatlands: threats and conservation priorities. Mit. Adapt. Strateg. Glob. Change https://doi.org/10.1007/s11027-017-9774-8
  • Gallego-Sala Angela, Dan J. Charman, Simon Brewer, Sue Page, I. Colin Prentice, Pierre Friedlingstein and 64 others (2018) Latitudinal limits to the predicted increase of the peatland carbon sink with warming. Nature Climate Change. https://www.nature.com/articles/s41558-018-0271-1
  • Graham, L. & Page, S.E. (2018) A limited seed bank in both natural and degraded tropical peat swamp forest: restoration implications. Mires & Peat, 22 (02), 1-13.
  • Giesen, W., Wijedasa, L. & Page, S.E. (2018) Unique Southeast Asian peat swamp habitats have relatively few distinct plant species. Mires & Peat, 22 (01), 1–13.
  • Hamad, R., Kolo, K. and Balzter, H. (2018): Land Cover Changes Induced by Demining Operations in Halgurd-Sakran National Park in the Kurdistan Region of Iraq. Sustainability 10, 2422. https://doi:10.3390/su10072422
  • Hamad, R., Balzter, H. & Kolo, K. (2018): Predicting Land Use / Land Cover Changes Using a CA-Markov Model under Two Different Scenarios. Sustainability 10(10), 3421. https://doi.org/10.3390/su10103421. Journal Impact Factor = 2.075.
  • Husson, S. et al., incl. Page, S.E. (2018) Biodiversity of the Sebangau tropical peat swamp forest, Indonesian Borneo. Mires & Peat, 22 (05), 1-50. doi:10.19189/MaP.2018.OMB.352.
  • Ibrahim, S., Balzter, H., Tansey, K., Tsutsumida, N. & Mathieu, R. (2018): Estimating fractional cover of plant functional types in African savannah from harmonic analysis of MODIS time-series data. International Journal of Remote Sensing 39, 2718–2745. https://doi.org/10.1080/01431161.2018.1430914
  • Ibrahim, Y., Balzter, H. & Kaduk, J. (2019): Woody species change attribution to land degradation in the Nigeria-Niger border region. Global Ecology and Conservation. https://doi.org/10.1016/j.gecco.2018.e00505 (Journal impact factor = 5.273)
  • Nic Pacini, Petra Hesslerova, Jan Pokorny, Timothy Mwinami, Edward H.J. Morrison, Anthony A. Cook, Sikun Zhang & David M. Harper (2018) Papyrus as an ecohydrological tool for restoring ecosystem services in Afrotropical wetlands. Ecohydrology & Hydrobiology, https://doi.org/10.1016/j.ecohyd.2018.02.001
  • Onuchin, A.A., Burenina, T.A., Balzter, H. & Tsykalov, A.G. (2018): New look at understanding hydrological role of forest. Siberian Journal of Forest Science // Sibirskij Lesnoj Zurnal, 5, 3–18. DOI: 10.15372/SJFS20180501. https://sibjforsci.com/articles/onuchin-a-a-burenina-t-a-balzter-h-tsykalov-a-g-new-look-at-understanding-hydrological-role-of-fores/
  • Onyia, N. N., Balzter, H., Berrio, J. C. (2018): Normalized Difference Vegetation Vigour Index: A New Remote Sensing Approach to Biodiversity Monitoring in Oil Polluted Regions, Remote Sensing 10(6), 897. doi: 10.3390/rs10060897. http://www.mdpi.com/2072-4292/10/6/897/pdf. (Journal impact factor = 3.244).
  • Pourshamsi, M., Garcia, M., Lavalle, M. & Balzter, H. (2018): A Machine Learning Approach to PolInSAR and LiDAR Data Fusion for Improved Tropical Forest Canopy Height Estimation Using NASA AfriSAR Campaign Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. https://doi.org/10.1109/JSTARS.2018.2868119. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8469014. Journal Impact Factor = 2.777.
  • Rasul, A., Balzter, H., Faqe Ibrahim, G. R., Hameed, H.M., Wheeler, J., Adamu, B., Ibrahim, S. and Najmaddin, P.M. (2018): Applying built-up and bare-soil indices from Landsat 8 to cities in dry climates, Land 7(3), 81; https://doi.org/10.3390/land7030081. http://www.mdpi.com/2073-445X/7/3/81
  • Rivas Casado, M., Irvine, T., Johnson, S., Palma, M., Leinster, P., The use of Unmanned Aerial Vehicles to estimate direct tangible losses to residential properties from flood events: a case study of Cockermouth following storm Desmond, Remote Sensing, 10(10), 1548, 2018. https://doi.org/10.3390/rs10101548
  • Rodríguez-Veiga P, Quegan S, Carreiras J, Persson HJ, Fransson JES, Hoscilo A, et al. Forest biomass retrieval approaches from earth observation in different biomes. International Journal of Applied Earth Observation and Geoinformation. 2019;77:53-68. (Journal impact factor = 4.003)
  • Slik, J. W. F. Arroyo-Rodriguez, V. Aiba, S. Alvarez-Loayza, P. Alves, L. F. Ashton, P. Balvanera, P. Bastian, M. Bellingham, P. J. Berg, E. V. D. Bernacci, L., Bispo, P. C., et al. A phylogenetic classification of the world’s tropical forests. Proceedings of the National Academy of Sciences of the United States of America (PNAS), (Impact Factor: 9.661). http://www.pnas.org/content/early/2018/01/31/1714977115)
  • Stratoulias, D., Balzter, H., Zlinszky, A. and Tóth, V.R. (2018): A comparison of airborne hyperspectral-based classifications of emergent wetland vegetation at Lake Balaton, Hungary. International Journal of Remote Sensing, Special Issue on “Fine Resolution Remote Sensing of Species in Terrestrial and Coastal Ecosystems”. https://doi.org/10.1080/01431161.2018.1466081
  • Thornton, S.A., Dudin, Page, S.E., Upton, C. & Harrison, M.E. (2018) Peatland fish of Sabangau, Borneo: Diversity, monitoring and conservation. Mires & Peat, 22 (04), 1-25. doi:10.19189/MaP.2017.OMB.313.
  • Trevisan, D.P., Bispo, P.C., Moschini, L.E. & Balzter, H. (2019): Evaluation of land use effects on the natural landscapes of São Carlos - São Paulo, Brasil. Revista Brasileira de Geografia Física (Brazilian Journal of Physical Geography), 11, 1819-1831. https://periodicos.ufpe.br/revistas/rbgfe/article/view/237770/pdf (Journal impact factor = 0.864)
  • Tsutsumida, N., Rodríguez-Veiga, P., Harris, P., Balzter, H. & Comber, A. (2019): Investigating spatial error structures in continuous raster data. International Journal of Applied Earth Observation and Geoinformation 74, 259-268. https://doi.org/10.1016/j.jag.2018.09.020 (Journal Impact Factor = 4.003)
  • Wijedasa, L.S., Sloan, S., Clements, G.R., Lupascu, M., Page, S.E. & Evans, T.A. (2018) Carbon emissions from Southeast Asian peatlands will increase despite REDD+ program. Global Change Biology. DOI: 10.1111/gcb.14340
  • Wijedasa, L.S., Sean Sloan, Susan E. Page, Gopalasamy R. Clements, Massimo Lupascu, Theodore A. Evans (2018): Carbon emissions from South‐East Asian peatlands will increase despite emission‐reduction schemes. Global Change Biology, DOI: 10.1111/gcb.14340.

2017

  • Arellano, P., Tansey, K., Balzter, H. & Boyd, D.S. (2017a): Field spectroscopy and radiative transfer modelling to assess impacts of petroleum pollution on biophysical and biochemical parameters of the Amazon rainforest. Environmental Earth Sciences 76. doi:10.1007/s12665-017-6536-6
  • Arellano, P., Tansey, K., Balzter, H., Tellkamp, M. (2017b): Plant Family-Specific Impacts of Petroleum Pollution on Biodiversity and Leaf Chlorophyll Content in the Amazon Rainforest of Ecuador. PLOS ONE 12. doi:10.1371/journal.pone.0169867
  • Barnes, C., Balzter, H., Barrett, K., Eddy, J., Milner, S. & Suarez, J.C. (2017): Individual Tree Crown Delineation from Airborne Laser Scanning for Diseased Larch Forest Stands. Remote Sensing 9. doi:10.3390/rs9030231
  • Cook, S., Peacock, M., Evans, C.D., Page, S.E., Whelan, M.J., Gauci, V. & Kho, L.K. (2017): Quantifying tropical peatland dissolved organic carbon (DOC) using UV-visible spectroscopy. Water Research 115, 229–235. doi:10.1016/j.watres.2017.02.059
  • Garcia, M., Saatchi, S., Casas, A., Koltunov, A., Ustin, S.L., Ramirez, C. & Balzter, H. (2017a): Extrapolating Forest Canopy Fuel Properties in the California Rim Fire by Combining Airborne LiDAR and Landsat OLI Data. Remote Sensing 9. doi:10.3390/rs9040394
  • Garcia, M., Saatchi, S., Casas, A., Koltunov, A., Ustin, S., Ramirez, C., Garcia-Gutierrez, J. & Balzter, H. (2017b): Quantifying biomass consumption and carbon release from the California Rim fire by integrating airborne LiDAR and Landsat OLI data. Journal of Geophysical Research-Biogeosciences 122, 340–353. doi:10.1002/2015JG003315
  • Hamad, R., Balzter, H. & Kolo, K. (2017): Multi-Criteria Assessment of Land Cover Dynamic Changes in Halgurd Sakran National Park (HSNP), Kurdistan Region of Iraq, Using Remote Sensing and GIS. Land 6. doi:10.3390/land6010018
  • Miettinen, J., Hooijer, A., Vernimmen, R., Liew, S.C. & Page, S.E. (2017): From carbon sink to carbon source: extensive peat oxidation in insular Southeast Asia since 1990. Environmental Research Letters 12. doi:10.1088/1748-9326/aa5b6f
  • Musarika, S., Atherton, C.E., Gomersall, T., Wells, M.J., Kaduk, J., Cumming, A.M.J., Page, S.E., Oechel, W.C. & Zona, D. (2017): Effect of water table management and elevated CO2 on radish productivity and on CH4 and CO2 fluxes from peatlands converted to agriculture. Science of the Total Environment 584, 665–672. doi:10.1016/j.scitotenv.2017.01.094
  • Najmaddin, P.M., Whelan, M.J. & Balzter, H. (2017a): Application of Satellite-Based Precipitation Estimates to Rainfall-Runoff Modelling in a Data-Scarce Semi-Arid Catchment. Climate 5. doi:10.3390/cli5020032
  • Najmaddin, P.M., Whelan, M.J. & Balzter, H. (2017b): Estimating Daily Reference Evapotranspiration in a Semi-Arid Region Using Remote Sensing Data. Remote Sensing 9. doi:10.3390/rs9080779
  • Onojeghuo, A.O. & Onojeghuo, A.R. (2017): Object-based habitat mapping using very high spatial resolution multispectral and hyperspectral imagery with LiDAR data. International Journal of Applied Earth Observation and Geoinformation 59, 79–91. doi:10.1016/j.jag.2017.03.007
  • Rasul, A., Balzter, H. & Smith, C. (2017a): Applying a normalized ratio scale technique to assess influences of urban expansion on land surface temperature of the semi-arid city of Erbil. International Journal of Remote Sensing 38, 3960–3980. doi:10.1080/01431161.2017.1312030
  • Rasul, A., Balzter, H., Smith, C., Remedios, J., Adamu, B., Sobrino, J.A., Srivanit, M. & Weng, Q. (2017b): A Review on Remote Sensing of Urban Heat and Cool Islands. Land 6. doi:10.3390/land6020038
  • Rodriguez-Veiga, P., Wheeler, J., Louis, V., Tansey, K. & Balzter, H. (2017): Quantifying Forest Biomass Carbon Stocks from Space. Current Forestry Reports 3, 1–18. doi:10.1007/s40725-017-0052-5
  • Silva, C.A., Klauberg, C., Hudak, A.T., Vierling, L.A., Jaafar, W.S.W.M., Mohan, M., Garcia, M., Ferraz, A., Cardil, A. & Saatchi, S. (2017): Predicting Stem Total and Assortment Volumes in an Industrial Pinus taeda L. Forest Plantation Using Airborne Laser Scanning Data and Random Forest. Forests 8. doi:10.3390/f8070254
  • Zhang, Y., Balzter, H., Liu, B. & Chen, Y. (2017): Analyzing the Impacts of Urbanization and Seasonal Variation on Land Surface Temperature Based on Subpixel Fractional Covers Using Landsat Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10, 1344–1356. doi:10.1109/JSTARS.2016.2608390

2016

  • Balzter, H., Baade, J. & Rogers, K. (2016): Validation of the TanDEM-X Intermediate Digital Elevation Model With Airborne LiDAR and Differential GNSS in Kruger National Park. IEEE Geoscience and Remote Sensing Letters 13, 277–281. doi:10.1109/LGRS.2015.2509500
  • Bispo, P. da C., dos Santos, J.R., Valeriano, M. de M., Lima de Alencastro Graca, P.M., Balzter, H., Franca, H. & Bispo, P. da C. (2016): Predictive Models of Primary Tropical Forest Structure from Geomorphometric Variables Based on SRTM in the Tapajos Region, Brazilian Amazon. PLOS ONE 11. doi:10.1371/journal.pone.0152009
  • Brandt, M., Hiernaux, P., Rasmussen, K., Mbow, C., Kergoat, L., Tagesson, T., Ibrahim, Y.Z., Wele, A., Tucker, C.J. & Fensholt, R. (2016): Assessing woody vegetation trends in Sahelian drylands using MODIS based seasonal metrics. Remote Sensing of Environment 183, 215–225. doi:10.1016/j.rse.2016.05.027
  • Casas, A., Garcia, M., Siegel, R.B., Koltunov, A., Ramirez, C. & Ustin, S. (2016): Burned forest characterization at single-tree level with airborne laser scanning for assessing wildlife habitat. Remote Sensing of Environment 175, 231–241. doi:10.1016/j.rse.2015.12.044
  • Comber, A., Balzter, H., Cole, B., Fisher, P., Johnson, S.C.M. & Ogutu, B. (2016): Methods to Quantify Regional Differences in Land Cover Change. Remote Sensing 8. doi:10.3390/rs8030176
  • Cook, S., Peacock, M., Evans, C.D., Page, S.E., Whelan, M., Gauci, V. & Khoon, K.L. (2016): Cold storage as a method for the long-term preservation of tropical dissolved organic carbon (DOC). Mires and Peat 18. doi:10.19189/MaP.2016.OMB.249
  • Huesca, M., Garcia, M., Roth, K.L., Casas, A. & Ustin, S.L. (2016): Canopy structural attributes derived from AVIRIS imaging spectroscopy data in a mixed broadleaf/conifer forest. Remote Sensing of Environment 182, 208–226. doi:10.1016/j.rse.2016.04.020
  • Modugno, S., Balzter, H., Cole, B. & Borrelli, P. (2016): Mapping regional patterns of large forest fires in Wildland-Urban Interface areas in Europe. Journal of Environmental Management 172, 112–126. doi:10.1016/j.jenvman.2016.02.013
  • Ningthoujam, R.K., Balzter, H., Tansey, K., Morrison, K., Johnson, S.C.M., Gerard, F., George, C., Malhi, Y., Burbidge, G., Doody, S., Veck, N., Llewellyn, G.M., Blythe, T., Rodriguez-Veiga, P., van Beijma, S., Spies, B., Barnes, C., Padilla-Parellada, M., Wheeler, J.E.M., Louis, V., Potter, T., Edwards-Smith, A. & Bermejo, J.P. (2016a): Airborne S-Band SAR for Forest Biophysical Retrieval in Temperate Mixed Forests of the UK. Remote Sensing 8. doi:10.3390/rs8070609
  • Ningthoujam, R.K., Tansey, K., Balzter, H., Morrison, K., Johnson, S.C.M., Gerard, F., George, C., Burbidge, G., Doody, S., Veck, N., Llewellyn, G.M. & Blythe, T. (2016b): Mapping Forest Cover and Forest Cover Change with Airborne S-Band Radar. Remote Sensing 8. doi:10.3390/rs8070577
  • Rasul, A., Balzter, H. & Smith, C. (2016): Diurnal and Seasonal Variation of Surface Urban Cool and Heat Islands in the Semi-Arid City of Erbil, Iraq. Climate 4. doi:10.3390/cli4030042
  • Rodriguez-Veiga, P., Saatchi, S., Tansey, K. & Balzter, H. (2016): Magnitude, spatial distribution and uncertainty of forest biomass stocks in Mexico. Remote Sensing of Environment 183, 265–281. doi:10.1016/j.rse.2016.06.004
  • Stelmaszczuk-Gorska, M.A., Rodriguez-Veiga, P., Ackermann, N., Thiel, C., Balzter, H. & Schmullius, C. (2016): Non-Parametric Retrieval of Aboveground Biomass in Siberian Boreal Forests with ALOS PALSAR Interferometric Coherence and Backscatter Intensity. Journal of Imaging 2. doi:10.3390/jimaging2010001
  • Urbazaev, M., Thiel, C., Migliavacca, M., Reichstein, M., Rodriguez-Veiga, P. & Schmullius, C. (2016): Improved Multi-Sensor Satellite-Based Aboveground Biomass Estimation by Selecting Temporally Stable Forest Inventory Plots Using NDVI Time Series. Forests 7. doi:10.3390/f7080169
  • Wei, J., Malanotte-Rizzoli, P., Li, M.-T. & Wang, H. (2016): Decomposition of thermal and dynamic changes in the South China Sea induced by boundary forcing and surface fluxes during 1970-2000. Journal of Geophysical Research-Oceans 121, 7953–7972. doi:10.1002/2016JC012078
  • Wijedasa, L.S., Page, S.E., Evans, C.D. & Osaki, M. (2016): Time for responsible peatland agriculture. Science 354, 562. doi:10.1126/science.aal1794

2015

  • Adamu, B., Tansey, K. & Ogutu, B. (2015): Using vegetation spectral indices to detect oil pollution in the Niger Delta. Remote Sensing Letters 6, 145–154. doi:10.1080/2150704X.2015.1015656
  • Arellano, P., Tansey, K., Balzter, H. & Boyd, D.S. (2015): Detecting the effects of hydrocarbon pollution in the Amazon forest using hyperspectral satellite images. Environmental Pollution 205, 225–239. doi:10.1016/j.envpol.2015.05.041
  • Balzter, H., Cole, B., Thiel, C. & Schmullius, C. (2015a): Mapping CORINE Land Cover from Sentinel-1A SAR and SRTM Digital Elevation Model Data using Random Forests. Remote Sensing 7, 14876–14898. doi:10.3390/rs71114876
  • Balzter, H., Palmer, S.C.J., Odermatt, D., Hunter, P.D., Brockmann, C., Presing, M. & Toth, V.R. (2015b): Harmonic Analysis of Lake Balaton Phytoplankton Blooms using 9 Years of MERIS-derived Chlorophyll-A, In: 2015 IEEE International Geoscience And Remote Sensing Symposium (IGARSS). pp. 2497–2500.
  • Balzter, H., Tate, N.J., Kaduk, J., Harper, D., Page, S., Morrison, R., Muskulus, M. & Jones, P. (2015c): Multi-Scale Entropy Analysis as a Method for Time-Series Analysis of Climate Data. Climate 3, 227–240. doi:10.3390/cli3010227
  • Boori M.S., Balzter H., Choudhary K. & Vozenílek V. (2015): Land Surface Temperature and Scaling Factors for Different Satellites Datasets. Journal of Geology and Geophysics 4: 223.
  • Elz, I., Tansey, K., Page, S.E. & Trivedi, M. (2015): Modelling deforestation and land cover transitions of tropical peatlands in Sumatra, Indonesia using remote sensed land cover data sets. Land, 4, 670-687.
  • Hoscilo, A., Balzter, H., Bartholome, E., Boschetti, M., Brivio, P.A., Brink, A., Clerici, M. & Pekel, J.F. (2015): A conceptual model for assessing rainfall and vegetation trends in sub-Saharan Africa from satellite data. International Journal of Climatology 35, 3582–3592. doi:10.1002/joc.4231
  • Ibrahim, Y.Z., Balzter, H., Kaduk, J. & Tucker, C.J. (2015): Land Degradation Assessment Using Residual Trend Analysis of GIMMS NDVI3g, Soil Moisture and Rainfall in Sub-Saharan West Africa from 1982 to 2012. Remote Sensing 7, 5471–5494. doi:10.3390/rs70505471
  • Kumar, P., Pandey, P.C., Kumar, V., Singh, B.K., Tomar, V. & Rani, M. (2015): Efficient Recognition of Forest Species Biodiversity by Inventory-Based Geospatial Approach Using LISS IV Sensor. IEEE Sensors Journal 15, 1884–1891. doi:10.1109/JSEN.2014.2368394
  • Milne, E., Banwart, S.A., Noellemeyer, E., Abson, D.J., Ballabio, C., Bampa, F., Bationo, A., Batjes, N.H., Bernoux, M., Bhattacharyya, T., Black, H., Buschiazzo, D.E., Cai, Z., Cerri, C.E., Cheng, K., Compagnone, C., Conant, R., Coutinho, H.L.C., de Brogniez, D., Balieiro, F. de C., Duffy, C., Feller, C., Fidalgo, E.C.C., da Silva, C.F., Funk, R., Gaudig, G., Gicheru, P.T., Goldhaber, M., Gottschalk, P., Goulet, F., Goverse, T., Grathwohl, P., Joosten, H., Kamoni, P.T., Kihara, J., Krawczynski, R., La Scala, N., Jr., Lemanceau, P., Li, L., Li, Z., Lugato, E., Maron, P.-A., Martius, C., Melillo, J., Montanarella, L., Nikolaidis, N., Nziguheba, G., Pan, G., Pascual, U., Paustian, K., Pineiro, G., Powlson, D., Quiroga, A., Richter, D., Sigwalt, A., Six, J., Smith, J., Smith, P., Stocking, M., Tanneberger, F., Termansen, M., van Noordwijk, M., van Wesemael, B., Vargas, R., Victoria, R.L., Waswa, B., Werner, D., Wichmann, S., Wichtmann, W., Zhang, X., Zhao, Y., Zheng, J. & Zheng, J. (2015): Soil carbon, multiple benefits. Environmental Development 13, 33–38. doi:10.1016/j.envdev.2014.11.005
  • Onojeghuo, A.O. & Onojeghuo, A.R. (2015a): Mapping forest transition trends in Okomu reserve using Landsat and UK-DMC-2 satellite data. South African Journal of Geomatics 4, 486–501. doi:10.4314/sajg.v4i4.9
  • Onojeghuo, A.O. & Onojeghuo, A.R. (2015b): Protected Area Monitoring in the Niger Delta Using Multi-Temporal Remote Sensing. Environments 2, 500–520. doi:10.3390/environments2040500
  • Padfield, R., Waldron, S., Drew, S., Papargyropoulou, E., Kumaran, S., Page, S., Gilvear, D., Armstrong, A., Evers, S., Williams, P. & Zakaria, Z. (2015): Research agendas for the sustainable management of tropical peatland in Malaysia. Environmental Conservation, 42(1), 73-83. doi:10.1017/S0376892914000034
  • Palmer, S.C.J., Hunter, P.D., Lankester, T., Hubbard, S., Spyrakos, E., Tyler, A.N., Presing, M., Horvath, H., Lamb, A., Balzter, H. & Toth, V.R. (2015): Validation of Envisat MERIS algorithms for chlorophyll retrieval in a large, turbid and optically-complex shallow lake. Remote Sensing of Environment 157, 158–169. doi:10.1016/j.rse.2014.07.024
  • Palmer, S.C.J., Odermatt, D., Hunter, P.D., Brockmann, C., Presing, M., Balzter, H. & Toth, V.R. (2015): Satellite remote sensing of phytoplankton phenology in Lake Balaton using 10 years of MERIS observations. Remote Sensing of Environment 158, 441–452. doi:10.1016/j.rse.2014.11.021
  • Pandey, P.C., Kumar, P., Tomar, V., Rani, M., Katiyar, S. & Nathawat, M.S. (2015a): Modelling spatial variation of fluoride pollutant using geospatial approach in the surrounding environment of an aluminium industries. Environmental Earth Sciences 74, 7801–7812. doi:10.1007/s12665-015-4563-8
  • Pandey, P.C., Kumar, P., Yadav, M., Katiyar, S., Mandal, V.P., Singh, R.K., Tomar, V. & Rani, M. (2015b): Vigorous Appraisal of Fluoride on Industrial Proponent in Thermal Power Plant over Anthropoid Biosphere Using F- Ion-Selective Electrode. IEEE Journal of Translational Engineering in Health and Medicine-JTEHM 3. doi:10.1109/JTEHM.2015.2462359
  • Pandey, P.C., Mandal, V.P., Katiyar, S., Kumar, P., Tomar, V., Patairiya, S., Ravisankar, N. & Gangwar, B. (2015c): Geospatial Approach to Assess the Impact of Nutrients on Rice Equivalent Yield Using MODIS Sensors’-Based MOD13Q1-NDVI Data. IEEE Sensors Journal 15, 6108–6115. doi:10.1109/JSEN.2015.2451113
  • Parasharya, B.M., Rank, D.N., Harper, D.M., Crosa, G., Zaccara, S., Patel, N. & Joshi, C.G. (2015): Long-distance dispersal capability of Lesser Flamingo Phoeniconaias minor between India and Africa: genetic inferences for future conservation plans. Ostrich 86, 221–229. doi:10.2989/00306525.2015.1053827
  • Rasul, A., Balzter, H. & Smith, C. (2015): Spatial Variation of the Daytime Surface Urban Cool Island during the Dry Season in Erbil, Iraqi Kurdistan, from Landsat 8. Urban Climate 14, 176–186.
  • Stelmaszczuk-Górska, M.A., Rodriguez-Veiga, P., Ackermann, N., Thiel, C., Balzter, H. & Schmullius, C. (2015): Non-parametric retrieval of aboveground biomass in Siberian boreal forests with ALOS PALSAR interferometric coherence and backscatter intensity. Journal of Imaging 2, 1-24.
  • Stratoulias, D., Balzter, H., Sykioti, O., Zlinszky, A. & Toth, V.R. (2015a): Evaluating Sentinel-2 for Lakeshore Habitat Mapping Based on Airborne Hyperspectral Data. Sensors 15, 22956–22969. doi:10.3390/s150922956
  • Stratoulias, D., Balzter, H., Zlinszky, A. & Toth, V.R. (2015b): Assessment of ecophysiology of lake shore reed vegetation based on chlorophyll fluorescence, field spectroscopy and hyperspectral airborne imagery. Remote Sensing of Environment 157, 72–84. doi:10.1016/j.rse.2014.05.021
  • Tebbs, E.J., Remedios, J.J., Avery, S.T., Rowland, C.S. & Harper, D.M. (2015): Regional assessment of lake ecological states using Landsat: A classification scheme for alkaline-saline, flamingo lakes in the East African Rift Valley. International Journal of Applied Earth Observation and Geoinformation 40, 100–108. doi:10.1016/j.jag.2015.03.010
  • Turetsky, M. R., Benscoter, B., Page, S., Rein, G., Van Der Werf, G. R., & Watts, A. (2015). Global vulnerability of peatlands to fire and carbon loss. Nature Geoscience, 8(1), 11-14.
  • Zhang, Y., Balzter, H., Zou, C., Xu, H. & Tang, F. (2015a): Characterizing bi-temporal patterns of land surface temperature using landscape metrics based on sub-pixel classifications from Landsat TM/ETM. International Journal of Applied Earth Observation and Geoinformation 42, 87–96. doi:10.1016/j.jag.2015.06.007
  • Zhang, Y., Harris, A. & Balzter, H. (2015b): Characterizing fractional vegetation cover and land surface temperature based on sub-pixel fractional impervious surfaces from Landsat TM/ETM. International Journal of Remote Sensing 36, 4213–4232. doi:10.1080/01431161.2015.1079344
  • Zlinszky, A., Heilmeier, H., Balzter, H., Czucz, B. & Pfeifer, N. (2015): Remote Sensing and GIS for Habitat Quality Monitoring: New Approaches and Future Research. Remote Sensing 7, 7987–7994. doi:10.3390/rs70607987

2014

  • Bibi, U.M., Kaduk, J. & Balzter, H. (2014): Spatial-temporal variation and prediction of rainfall in North-eastern Nigeria, Special Issue "Changes in precipitation and impacts on regional water resources", Climate, 2, 206-222.
  • Borrelli, P., Modugno, S., Panagos, P., Marchetti, M., Schuett, B. & Montanarella, L. (2014): Detection of harvested forest areas in Italy using Landsat imagery. Applied Geography 48, 102–111. doi:10.1016/j.apgeog.2014.01.005
  • Cole, B., McMorrow, J. & Evans, M. (2014a): Empirical Modelling of Vegetation Abundance from Airborne Hyperspectral Data for Upland Peatland Restoration Monitoring. Remote Sensing 6, 716–739. doi:10.3390/rs6010716
  • Cole, B., McMorrow, J. & Evans, M. (2014b): Spectral monitoring of moorland plant phenology to identify a temporal window for hyperspectral remote sensing of peatland. ISPRS Journal of Photogrammetry and Remote Sensing 90, 49–58. doi:10.1016/j.isprsjprs.2014.01.010
  • Evans, C.D, Page, S.E. Jones, T., Moore, S., Gauci, V., Laiho, R., Hruska, J., Allott, E., Billett, M., Freeman, C. & Garnett, M. (2014): Contrasting susceptibility of tropical and high-latitude peats to fluvial loss of stored carbon following drainage. Global Biogeochemical Cycles, 28, doi:10.1002/2013GB004782
  • Jewitt, S.L., Nasir, D., Page, S.E., Rieley, J.O. & Khanal, K. (2014): Indonesia’s contested domains. Deforestation, rehabilitation and conservation-with-development in Central Kalimantan’s tropical peatlands. International Forestry Review 16(4), 405-420.
  • Khan, S.M., Page, S.E., Ahmad, H. and Harper, D.M. (2014): Ethno-ecological importance of plant biodiversity in mountain ecosystems with special emphasis on indicator species: a case study of the Naran Valley in northern Pakistan. Ecological Indicators 37, 175-185.
  • Lawson, I.T., Kelly, T.J., Aplin, P., Boom, A., Dargie, G., Draper, F.C.H., Hassan, P.N.Z.B.P., Hoyos-Santillan, J., Kaduk, J., Large, D. & Murphy, W. (2015): Improving estimates of tropical peatland area, carbon storage, and greenhouse gas fluxes. Wetlands ecology and management, 23(3), 327-346.
  • Lehsten, V., de Groot, W.J., Flannigan, M., George, C., Harmand, P. & Balzter, H. (2014): Wildfires in boreal ecoregions: Evaluating the power law assumption and intra-annual and interannual variations. Journal of Geophysical Research-Biogeosciences 119, 14–23. doi:10.1002/2012JG002252
  • Masys, A.J., Ray-Bennett, N.S., Shiroshita, H. & Jackson, P. (2014): High Impact/Low Frequency extreme events: Enabling Reflection and Resilience in a Hyper-Connected World. ScienceDirect, Procedia Economics and Finance 18, 772-779. https://doi.org/10.1016/S2212-5671(14)01001-6.
  • Morrison, E. H. J., Banzaert, A., Upton, C., Pacini, N., Pokorný, J. & Harper, D.M. (2014): Biomass briquettes: a novel incentive for managing papyrus wetlands sustainably? Wetlands ecology and management, 22(2), 129-141.doi: 10.1007/s11273-013-9310-x.
  • Mouillot, F., Schultz, M.J., Yue, C., Cadule, P., Tansey, K., Ciais, P. & Chuvieco, E. (2014): Ten years of global burned area products from spaceborne remote sensing—A review: Analysis of user needs and recommendations for future developments. International Journal of Applied Earth Observation and Geoinformation, 26, 64-79.
  • Ogutu B., Dash, J. & Dawson, T.P. (2014): Evaluation of the influence of two operational fraction of absorbed photosynthetically active radiation (FAPAR) products on terrestrial ecosystem productivity modelling, International Journal of Remote Sensing, 35, 321-340.
  • Pandey, P.C., Kumar, P., Rani, M., Katiyar, S. & Tomar, V. (2014a): Fluoride-induced impact of aluminium industrial power plant on plants and human inhabiting areas. Geofizika 31, 151–168. doi:10.15233/gfz.2014.31.8
  • Pandey, P.C., Tate, N.J. & Balzter, H. (2014b): Mapping Tree Species in Coastal Portugal Using Statistically Segmented Principal Component Analysis and Other Methods. IEEE Sensors Journal 14, 4434–4441. doi:10.1109/JSEN.2014.2335612
  • Peh, K.S.-H., Balmford, A., Field, R.H., Lamb, A., Birch, J.C., Bradbury, R.B., Brown, C., Butchart, S.H.M., Lester, M., Morrison, R., Sedgwick, I., Soans, C., Stattersfield, A.J., Stroh, P.A., Swetnam, R.D., Thomas, D.H.L., Walpole, M., Warrington, S. & Hughes, F.M.R. (2014): Benefits and costs of ecological restoration: Rapid assessment of changing ecosystem service values at a UK wetland. Ecology and Evolution 4, 3875–3886. doi:10.1002/ece3.1248
  • Ray-Bennett, N.S., Mays, A.J., Shiroshita, H & Jackson, P. (2014): Hyper-risks in a hyper connected world: A call for critical reflective response to develop organisational resilience. Input Paper Prepared for the Global Assessment Report on Disaster Risk Reduction 2015. Global Assessment Report on Disaster Risk Reduction. UNISDR.
  • Speak, A.F., Rothwell, J., Lindley, S.J. & Smith, C.L. (2014): Metal and nutrient dynamics on an aged, intensive green roof. Environmental Pollution, 184: 33-43.

 

2013

  • Balzter, H. (2013): Remote sensing and global environmental change. International Journal of Geographical Information Science 27, 1688–1689.
  • Barrett, K. & Kasischke, E.S. (2013): Controls on variations in MODIS fire radiative power in Alaskan boreal forests: Implications for fire severity conditions. Remote Sensing of Environment 130: 171-181.
  • Comber, A., See, L., Fritz, S., Van der Velde, M., Perger, C., & Foody, G. (2013): Using control data to determine the reliability of volunteered geographic information about land cover. International Journal of Applied Earth Observation and Geoinformation, 23, 37-48.Genet, H., McGuire, A.D., Barrett, K., Breen, A., Euskirchen, E.S., Johnstone, J.F., Kasischke, E.S., Melvin, A.M., Bennett, A., Mack, M.C. and Rupp, T.S. (2013): Modeling the effects of fire severity and climate warming on active layer thickness and soil carbon storage of black spruce forests across the landscape in interior Alaska. Environmental Research Letters, 8(4), 045016.
  • Graham, L.L.B., Turjaman, M. & Page, S.E. (2013): Shorea balangeran and Dyera polyphylla as tropical peat swamp forest restoration transplant species: effects of mycorrhizae and level of disturbance. Wetlands Ecology and Management, 21(5), 307-321. doi:10.1007/s11273-013-9302-x
  • Hendrych, J., Storm, V. & Pacini, N. (2013): The Value of an 1827 Cadastre Map in the Rehabilitation of Ecosystem Services in the Kremze Basin, Czech Republic. Landscape Research 38, 750–767. doi:10.1080/01426397.2013.794260
  • Hoscilo, A., Tansey, K. & Page, S.E. (2013): Post-fire vegetation response as a proxy to quantify the magnitude of burn severity in tropical peatland. International Journal of Remote Sensing, 34, 412-433.
  • Khalefa, E., Smit, I.P.J., Nickless, A., Archibald, S., Comber, A. & Balzter, H. (2013): Retrieval of Savanna Vegetation Canopy Height from ICESat-GLAS Spaceborne LiDAR With Terrain Correction. IEEE Geoscience And Remote Sensing Letters 10, 1439–1443. doi:10.1109/LGRS.2013.2259793
  • Khan, S.M., Page, S.E., Ahmad, H. & Harper, D.M. (2013): Identifying plant species and communities across environmental gradients in the Western Himalayas: Method development and conservation use.  Ecological Informatics, 14, 99-103.
  • Khan, S.M., Page, S.E., Ahmad, H. & Harper, D.M. (2013): Sustainable utilization and conservation of plant biodiversity in montane ecosystems: the western Himalayas as a case study. Annals of Botany 112, 479–501. doi:10.1093/aob/mct125
  • Khan, S.M., Page, S.E., Ahmad, H., Shaheen, H., Ullah, Z., Ahmad, M. & Harper, D. (2013): Medicinal flora and ethnoecological knowledge in the Naran Valley, Western Himalaya, Pakistan. Journal of Ethnobiology and Ethnomedicine, 9:4. doi:10.1186/1746-4269-9-4.
  • Khan, SM., Page, S., Ahmad, H., Zaidullah, Shaheen, H., Ahmad, M & Harper, D. (2013): Phytoclimatic gradient of vegetation and habitat specificity in the high elevation western Himalayas. Pakistan Journal of Botany, 45(SI): 223-230.
  • Lynch, J., Maslin, M., Balzter, H. & Sweeting, M. (2013): Choose satellites to monitor deforestation. Nature 496, 293–294.
  • Milne, E., Neufeldt, H., Rosenstock, T., Smalligan, M., Cerri, C.E., Malin, D., Easter, M., Bernoux, M., Ogle, S., Casarim, F., Pearson, T., Bird, D.N., Steglich, E., Ostwald, M., Denef, K. & Paustian, K. (2013): Methods for the quantification of GHG emissions at the landscape level for developing countries in smallholder contexts. Environmental Research Letters 8. doi:10.1088/1748-9326/8/1/015019
  • Moore, S., Evans, C.D., Page, S.E., Garnett, M.H., Jones, T.G., Freeman, C., Limin, S.H. & Gauci, V. (2013): Fluvial organic carbon fluxes reveal deep instability of deforested tropical peatlands.  Nature, 493, 660-663.
  • Morrison E.H.J., Upton C., Pacini N., Odhiambo K'oyooh, K. & Harper, D.M. (2013): Public perceptions of papyrus: community appraisal of wetland ecosystem services at Lake Naivasha, Kenya. Ecohydrology and Hydrobiology 13:135-147.
  • Ogutu, B., Dash, J. & Dawson, T.P. (2013): Developing a diagnostic model for estimating terrestrial vegetation gross primary productivity using the photosynthetic quantum yield and Earth Observation data. Global Change Biology, 19, 2878–2892.
  • Palmer, S.C.J., Pelevin, V.V., Goncharenko, I., Kovacs, A.W., Zlinszky, A., Presing, M., Horvath, H., Nicolas-Perea, V., Balzter, H. & Toth, V.R. (2013): Ultraviolet Fluorescence LiDAR (UFL) as a Measurement Tool for Water Quality Parameters in Turbid Lake Conditions. Remote Sensing 5, 4405–4422. doi:10.3390/rs5094405
  • Speak, A.F., Rothwell, J., Lindley, S.J. & Smith, C.L. (2013): Rainwater runoff retention on an aged intensive green roof. Science of the Total Environment, 461-462: 28-38.
  • Speak, A.F., Rothwell, J.J., Lindley, S.J. & Smith, C.L. (2013): Reduction of the urban cooling effects of an intensive green roof due to vegetation damage. Urban Climate, 3, 40-55.
  • Tebbs, E.J., Remedios, J.J. & Harper, D.M. (2013): Remote sensing of chlorophyll-a as a measure of cyanobacterial biomass in Lake Bogoria, a hypertrophic, saline-alkaline, flamingo lake, using Landsat ETM+, Remote Sensing of Environment 135, 92-106.
  • Tebbs, E.J., Remedios, J.J., Avery, S.T. & Harper, D.M. (2013): Remote sensing the hydrological variability of Tanzania's Lake Natron, a vital Lesser Flamingo breeding site under threat, Ecohydrology and Hydrobiology 13, 148-158.
  • Zhang, Y., Balzter, H. & Wu, X. (2013): Spatial-temporal patterns of urban anthropogenic heat discharge in Fuzhou, China, observed from sensible heat flux using Landsat TM/ETM plus data. International Journal of Remote Sensing 34, 1459–1477. doi:10.1080/01431161.2012.718465