Publications

Peer-reviewed publications

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
Photographer: Alex Cumming
Photographer: Alex Cumming

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.
  • Photo Credit: Roland Leigh and Bluesky International Ltd.
Image Credit: Roland Leigh and Bluesky International Ltd.

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:10.1080/01431161.2012.718465Photographer: Pedro Rodriguez-Veiga
Photographer: Pedro Rodriguez-Veiga

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Contact

Prof. Heiko Balzter

Director

Centre for Landscape and Climate Research

University of Leicester
Bennett Building
University Road
Leicester LE1 7RH,

Tel: +44 (0)116 252 3820
Fax: +44 (0)116 252 3854
email: clcr@le.ac.uk