Trent W. Biggs, Ph.D.
Affiliations: | 2003 | University of California, Santa Barbara, Santa Barbara, CA, United States |
Area:
Biogeochemistry, Physical Geography, Environmental SciencesGoogle:
"Trent Biggs"Parents
Sign in to add mentorThomas Dunne | grad student | 2003 | UC Santa Barbara | |
(Regional deforestation and stream biogeochemistry in the southwestern Brazilian Amazon basin.) |
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Publications
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Caballero CB, Biggs TW, Vergopolan N, et al. (2023) Transformation of Brazil's biomes: The dynamics and fate of agriculture and pasture expansion into native vegetation. The Science of the Total Environment. 896: 166323 |
Caballero CB, Ruhoff A, Biggs T. (2021) Land use and land cover changes and their impacts on surface-atmosphere interactions in Brazil: A systematic review. The Science of the Total Environment. 808: 152134 |
Arabameri A, Saha S, Roy J, et al. (2020) A novel ensemble computational intelligence approach for the spatial prediction of land subsidence susceptibility. The Science of the Total Environment. 726: 138595 |
Mu Y, Biggs T, Stow D, et al. (2020) Mapping heterogeneous forest-pasture mosaics in the Brazilian Amazon using a spectral vegetation variability index, band transformations and random forest classification International Journal of Remote Sensing. 41: 8682-8692 |
De Sales F, Santiago T, Biggs TW, et al. (2020) Impacts of Protected Area Deforestation on Dry‐Season Regional Climate in the Brazilian Amazon Journal of Geophysical Research: Atmospheres. 125 |
Ma J, Duan H, He L, et al. (2020) Spatiotemporal pattern of gypsum blooms in the Salton Sea, California, during 2000-2018 International Journal of Applied Earth Observation and Geoinformation. 89: 102090 |
German LA, Hepinstall-Cymerman J, Biggs T, et al. (2020) The environmental effects of sugarcane expansion: A case study of changes in land and water use in southern Africa Applied Geography. 121: 102240 |
Gudino-Elizondo N, Biggs TW, Bingner RL, et al. (2019) Modelling Runoff and Sediment Loads in a Developing Coastal Watershed of the US-Mexico Border. Water. 11: 1-1024 |
Rahmati O, Falah F, Dayal KS, et al. (2019) Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia. The Science of the Total Environment. 699: 134230 |
Rahmati O, Falah F, Naghibi SA, et al. (2019) Land subsidence modelling using tree-based machine learning algorithms. The Science of the Total Environment. 672: 239-252 |