An earth observation and explainable machine learning approach for determining the drivers of invasive species - a water hyacinth case study. [PDF]
Singh G, Rosman B, Byrne MJ, Reynolds C.
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Environmental Determinants of Foraging Site Revisitation by African Elephants (<i>Loxodonta africana</i>). [PDF]
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Combining UAV-SfM, SAR, MSI and field surveys for estimation of above ground biomass in mangrove forest of Chonburi, Thailand. [PDF]
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30 m-resolution annual crop type maps in Northeast China from 2001 to 2022. [PDF]
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Quantifying spatiotemporal dynamics and driving factors of carbon stock with integrated model in Bohai Bay, China. [PDF]
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GLAMOUR: GLobAl building MOrphology dataset for URban hydroclimate modelling. [PDF]
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The accelerating loss and shifting dynamics of US tidal wetlands. [PDF]
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A High-Resolution Forest Soil Organic Carbon Dataset for China Derived from an Enhanced Quantile Regression Forest Model. [PDF]
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Comparação nas análises da acurácia vertical entre os Modelos Digitais de Elevação Nasadem, SRTM, AW3D30 e Copernicus DEM para o estado do Rio Grande do Sul [PDF]
Este trabalho avalia à acurácia vertical dos modelos digitais de elevação (MDEs) AW3D30, NASADEM, SRTM e COPERNICUS-DEM (COP-30), com resolução espacial de 30m, no território do Estado do Rio Grande do Sul. A base de referência de avaliação compõe as estações de referência de nível (RRNN) fornecida pela rede altimétrica do Instituto Brasileiro de ...
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