Sentinel-1 and Sentinel-2: Innovations in Remote Sensing for Water Quality, Vegetation, and Crop Monitoring

his collection explores the diverse applications of Sentinel-1 and Sentinel-2 data for environmental and agricultural monitoring. Topics include water quality assessment, vegetation cover estimation, bushfire severity mapping, and crop monitoring. Using advanced processing techniques and machine learning, these studies showcase how Sentinel data enhances land management and ecosystem monitoring. This collection offers valuable insights for researchers, remote sensing professionals, and students in environmental science, agriculture, and disaster management.

本数据集集合探索了哨兵-1号（Sentinel-1）与哨兵-2号（Sentinel-2）数据在环境与农业监测中的多样化应用场景。研究主题涵盖水质评估、植被覆盖度估算、林火烈度制图以及作物监测。相关研究借助先进处理技术与机器学习方法，展示了哨兵系列数据如何有效提升土地管理与生态系统监测水平。本数据集集合可为环境科学、农业及灾害管理领域的科研人员、遥感从业者与学生提供极具价值的研究参考。