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Deep-learning Versus OBIA for Scattered Shrub Detection with Google Earth Imagery: Ziziphus lotus as Case Study., , , , and . Remote. Sens., 9 (12): 1220 (2017)Aridity Thresholds Determine the Relationships Between Ecosystem Functioning and Remotely Sensed Indicators Across Patagonia., , , and . IEEE Trans. Geosci. Remote. Sens., (2022)A Multi-Temporal Object-Based Image Analysis to Detect Long-Lived Shrub Cover Changes in Drylands., , , , and . Remote. Sens., 11 (22): 2649 (2019)Self-organization as a mechanism of resilience in dryland ecosystems, , , , , , , , and . PNAS, (2024)COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images., , , , , , , , , and 3 other author(s). IEEE J. Biomed. Health Informatics, 24 (12): 3595-3605 (2020)Tree Cover Estimation in Global Drylands from Space Using Deep Learning., , , , , and . Remote. Sens., 12 (3): 343 (2020)Deep-Learning Convolutional Neural Networks for scattered shrub detection with Google Earth Imagery., , , , and . CoRR, (2017)Olive Tree Biovolume from UAV Multi-Resolution Image Segmentation with Mask R-CNN., , , , and . Sensors, 21 (5): 1617 (2021)FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations., , , and . Inf. Fusion, (2020)Mask R-CNN and OBIA Fusion Improves the Segmentation of Scattered Vegetation in Very High-Resolution Optical Sensors., , , , , , and . Sensors, 21 (1): 320 (2021)