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Evaluating the Potential of Multi-Seasonal CBERS-04 Imagery for Mapping the Quasi-Circular Vegetation Patches in the Yellow River Delta Using Random Forest.

, , , , and . Remote. Sens., 11 (10): 1216 (2019)

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Using the Canny edge detector and mathematical morphology operators to detect vegetation patches., , , , and . ICDIP, volume 8009 of SPIE Proceedings, page 80091H. SPIE, (2011)Optimal and robust vegetation mapping in complex environments using multiple satellite imagery: Application to mangroves in Southeast Asia., , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2021)Evaluating the Potential of Multi-Seasonal CBERS-04 Imagery for Mapping the Quasi-Circular Vegetation Patches in the Yellow River Delta Using Random Forest., , , , and . Remote. Sens., 11 (10): 1216 (2019)Comparison of CBERS-04, GF-1, and GF-2 Satellite Panchromatic Images for Mapping Quasi-Circular Vegetation Patches in the Yellow River Delta, China., , , and . Sensors, 18 (8): 2733 (2018)Mapping Rice Cropping Systems in Vietnam Using an NDVI-Based Time-Series Similarity Measurement Based on DTW Distance., , , , and . Remote Sensing, 8 (1): 19 (2016)Suitability evaluation of land in Yellow River Delta in China based on GIS., , , and . IGARSS, page 2426-2429. IEEE, (2005)Size distribution of the quasi-circular vegetation patches in the Yellow River Delta, China., , , , and . Ecol. Informatics, (2022)Integrating time-series and high-spatial remote sensing data based on multilevel decision fusion., , , and . IGARSS, page 212-215. IEEE, (2020)Vegetation Patch Structure and Dynamics at Gudong Oil Field of the Yellow River Delta, China., , , and . GRMSE (1), volume 398 of Communications in Computer and Information Science, page 177-187. Springer, (2013)A River Basin over the Course of Time: Multi-Temporal Analyses of Land Surface Dynamics in the Yellow River Basin (China) Based on Medium Resolution Remote Sensing Data., , , and . Remote Sensing, 8 (3): 186 (2016)