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Monitoring Woody Cover Dynamics in Tropical Dry Forest Ecosystems Using Sentinel-2 Satellite Imagery.

, , and . Remote Sensing, 12 (8): 1276 (2020)

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Uncovering Dryland Woody Dynamics Using Optical, Microwave, and Field Data - Prolonged Above-Average Rainfall Paradoxically Contributes to Woody Plant Die-Off in the Western Sahel., , , , , , , , and . Remote. Sens., 12 (14): 2332 (2020)Rapidai4Eo: Mono-and Multi-Temporal Deep Learning Models for Updating the Corine land Cover Product., , , , , , , , , and 4 other author(s). IGARSS, page 2247-2250. IEEE, (2022)Monitor Mangrove Forest Dynamics from Multi-temporal Landsat 8-OLI Images in the Southern Coast of Sancti Spíritus Province (Cuba)., , , , , , and . ICCSA (7), volume 12955 of Lecture Notes in Computer Science, page 169-182. Springer, (2021)Linking NDVI and climate-based ecosystem stability with land cover in Europe., , , , , and . IGARSS, page 3938-3940. IEEE, (2014)Towards the large-scale assessment of vegetation biomass production stability., , , , , and . MultiTemp, page 1-4. IEEE, (2015)Assessment of Regional Vegetation Response to Climate Anomalies: A Case Study for Australia Using GIMMS NDVI Time Series between 1982 and 2006., , , , , and . Remote. Sens., 9 (1): 34 (2017)Monitoring Woody Cover Dynamics in Tropical Dry Forest Ecosystems Using Sentinel-2 Satellite Imagery., , and . Remote Sensing, 12 (8): 1276 (2020)Shape-based unmixing for vegetation mapping., , , , , and . WHISPERS, page 1-4. IEEE, (2012)Abrupt Change in Dryland Ecosystem Functioning: Recent Advances and Lessons Learnt from the U-TURN Project., , , , , , , , , and 1 other author(s). IGARSS, page 1394-1397. IEEE, (2021)