Irrigation Mapping

Irrigation mapping uses satellite imagery to identify irrigated areas, crucial for efficient water resource management and addressing global water scarcity. Recent research focuses on improving accuracy through advanced machine learning techniques, including transformer-based neural networks and boosted decision trees, often incorporating multi-scale and multi-temporal data from sensors like Landsat and Sentinel-2 to capture diverse irrigation practices and phenological patterns. These improved methods enhance the precision of irrigation area estimations, supporting better water allocation strategies and informing agricultural policy decisions. The development of robust and accurate mapping techniques is vital for sustainable agriculture and water conservation efforts.