Inverse modelling of CH4 emissions for 2010-2011 using different satellite retrieval products from GOSAT and SCIAMACHY
Alexe M, Bergamaschi P, Segers A, Detmers R, Butz A, Hasekamp O, Guerlet S, Parker R, Boesch H, Frankenberg C, Scheepmaker R, Dlugokencky E, Sweeney C, Wofsy S, Kort E, Atmospheric Chemistry and Physics; doi:10.5194/acp-15-113-20150101 (2015)
Modelling Hourly Global Horizontal Irradiance from Satellite-Derived Datasets and Climate Variables as New Inputs with Artificial Neural Networks
Ameen B, Balzter H, Jarvis C, Wheeler J - doi: 10.3390/en12010148
New fire diurnal cycle characterizations to improve fire radiative energy assessments made from MODIS observations
Andela N, Kaiser J, van der Werf G, Wooster M, Atmospheric Chemistry and Physics; doi:10.5194/acp-15-8831-20150101 (2015)
Biomass burning fuel consumption dynamics in the tropics and subtropics assessed from satellite
Andela N, van der Werf G, Kaiser J, van Leeuwen T, Wooster M, Lehmann C, Biogeosciences; doi: 10.5194/bg-13-3717-2016 (2016)
Fast radiative transfer using monochromatic look-up tables
Anthony Vincent R, Dudhia A, Journal of Quantitative Spectroscopy and Radiative Transfer; doi: 10.1016/j.jqsrt.2016.04.011 (2017)
Detecting the effects of hydrocarbon pollution in the Amazon forest using hyperspectral satellite images
Arellano P., Tansey K., Balzter H., Boyd D.S., Environmental Pollution; doi:10.1016/j.envpol.20150101.05.041 (2015)
Field spectroscopy and radiative transfer modelling to assess impacts of petroleum pollution on biophysical and biochemical parameters of the Amazon rainforest
Arellano P, Tansey K, Balzter H, Boyd D, Environmental Earth Sciences; doi: 10.1007/s12665-017-6536-6 (2017)
Plant Family-Specific Impacts of Petroleum Pollution on Biodiversity and Leaf Chlorophyll Content in the Amazon Rainforest of Ecuador
Arellano P, Tansey K, Balzter H, Tellkamp M, PloS one; doi: 10.1371/journal.pone.0169867 (2017)
Validation of ash optical depth and layer height retrieved from passive satellite sensors using EARLINET and airborne lidar data: the case of the Eyjafjallajökull eruption
Balis D, Koukouli M, Siomos N, Dimopoulos S, Mona L, Pappalardo G, Marenco F, Clarisse L, Ventress L, Carboni E, Grainger R, Wang P, Tilstra G, van der A R, Theys N, Zehner C, Atmospheric Chemistry and Physics; doi: 10.5194/acp-16-5705-2016 (2016)
Acceleration and fragmentation of CORINE land cover changes in the United Kingdom from 2006–2012 detected by Copernicus IMAGE2012 satellite data
Cole B, Smith G, Balzter H doi: 10.1016/j.jag.2018.06.003
Modelling forest canopy height by integrating airborne LiDAR samples with satellite Radar and multispectral imagery
García M, Saatchi S, Ustin S, Balzter H. doi: 10.1016/j.jag.2017.11.017
Predicting Land Use/Land Cover Changes Using a CA-Markov Model under Two Different Scenarios
Hamad R, Kolo K, Balzter H. doi: 10.3390/land7010038
Mapping CORINE land cover from Sentinel-1A SAR and SRTM digital elevation model data using random forests
Balzter H., Cole B., Thiel C., Schmullius C., Remote Sensing; doi:10.3390/rs71114876 (2015)
Multi-Scale Entropy Analysis as a Method for Time-Series Analysis of Climate Data
Balzter H, Tate N, Kaduk J, Harper D, Page S, Morrison R, Muskulus M, Jones P, Climate; doi:10.3390/cli3010227 (2015)
Validation of the TanDEM-X Intermediate Digital Elevation Model With Airborne LiDAR and Differential GNSS in Kruger National Park
Balzter H., J. Baade, K. Rogers, IEEE Geoscience and Remote Sensing Letters; doi: 10.1109/LGRS.2015.2509500 (2016)
Methodology for Regional to Global Mapping of Aboveground Forest Biomass
Balzter H, Rodriguez‐ Veiga, P, Saatchi S, Wheeler J, Tansey K, Earth Observation for Land and Emergency Monitoring; doi: 10.1002/9781118793787.ch2 (2017)
Validation of the TanDEM-X Intermediate Digital Elevation Model With Airborne LiDAR and Differential GNSS in Kruger National Park
Balzter H, Baade J, Rogers K, IEEE Geoscience and Remote Sensing Letters; doi: 10.1109/LGRS.2015.2509500 (2016)
Land degradation continues despite greening in the Nigeria-Niger border region
Ibrahim Y, Balzter H, Kaduk J, doi: 10.1016/j.gecco.2018.e00505
Normalized Difference Vegetation Vigour Index: A New Remote Sensing Approach to Biodiversity Monitoring in Oil Polluted Regions
Onyia N, Balzter H, Berrio J. (2018), (6), doi: 10.3390/rs10060897
A Machine-Learning Approach to PolInSAR and LiDAR Data Fusion for Improved Tropical Forest Canopy Height Estimation Using NASA AfriSAR Campaign Data
Pourshamsi M, Garcia M, Lavalle M, Balzter H, doi: 10.1109/JSTARS.2018.2868119
Airborne laser scanning and tree crown fragmentation metrics for the assessment of Phytophthora ramorum infected larch forest stands
Barnes C, Balzter H, Barrett K, Eddy J, Milner S, Suárez J, Forest Ecology and Management; doi: 10.1016/j.foreco.2017.08.052 (2017)
Individual Tree Crown Delineation from Airborne Laser Scanning for Diseased Larch Forest Stands
Barnes C, Balzter H, Barrett K, Eddy J, Milner S, Suárez J, Remote Sensing; doi: 10.3390/land6010018 (2017)
Study of the footprints of short-term variation in XCO2 observed by TCCON sites using NIES and FLEXPART atmospheric transport models
Belikov D, Maksyutov S, Ganshin A, Zhuravlev R, Deutscher N, Wunch D, Feist D, Morino I, Parker R, Strong K, Yoshida Y, Bril A, Oshchepkov S, Boesch H, Dubey M, Griffith D, Hewson W, Kivi R, Mendonca J, Notholt J, Schneider M, Sussmann R, Velazco V, Aoki S, Atmospheric Chemistry and Physics; doi: 10.5194/acp-17-143-2017 (2017)
Natural and anthropogenic methane fluxes in Eurasia: a meso-scale quantification by generalized atmospheric inversion
Berchet A, Pison I, Chevallier F, Paris J, Bousquet P, Bonne J, Arshinov M, Belan B, Cressot C, Davydov D, Dlugokencky E, Fofonov A, Galanin A, LavriÄ J, Machida T, Parker R, Sasakawa M, Spahni R, Stocker B, Winderlich J, Biogeosciences Discussions; doi:10.5194/bgd-11-14587-20140101 (2014)
Drivers of metacommunity structure diverge for common and rare Amazonian tree species
Bispo PDC, Balzter H, Malhi Y, Slik JWF, Dos Santos JR, Rennó CD, Espírito-Santo FD, Aragão LEOC, Ximenes AC, Bispo PDC, PloS one; doi: 10.1371/journal.pone.0188300 (2017)
Predictive Models of Primary Tropical Forest Structure from Geomorphometric Variables Based on SRTM in the Tapajós Region, Brazilian Amazon.
Bispo Pda C, Dos Santos JR, Valeriano Mde M, Graça PM, Balzter H, França H, PloS one; doi: 10.1371/journal.pone.0152009 (2016)
The decadal state of the terrestrial carbon cycle: Global retrievals of terrestrial carbon allocation, pools, and residence times
Bloom A., J. Exbrayat, I. van der Velde, L. Feng, M. Williams, Proceedings of the National Academy of Sciences; doi: 10.1073/pnas.1515160113 (2016)
Variability of fire carbon emissions in equatorial Asia and its nonlinear sensitivity to El Nino
Yi Yin, Philippe Ciais, Frederic Chevallie,r Guido R. van der Werf, Thierry Fanin, Gregoire Broquet, Hartmut Boesch, Anne Cozic, Didier Hauglustaine, Sophie Szopa, Yilong Wang 10.1002/2016GL070971
Can simple models predict large-scale surface ocean isoprene concentrations?
Booge D, Marandino C, Schlundt C, Palmer P, Schlundt M, Atlas E, Bracher A, Saltzman E, Wallace D, Atmospheric Chemistry and Physics; doi: 10.5194/acp-16-11807-2016 (2016)
Uncertainty for Burnt Area Products
Brennan J, Gmez-Dans J, Lewis P, Chernetskiy M, Heil A - doi: 10.1109/IGARSS.2018.8518257