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IrrNet: Advancing Irrigation Mapping with Incremental Patch Size Training on Remote Sensing Imagery
April 19, 2024, 4:44 a.m. | Oishee Bintey Hoque, Samarth Swarup, Abhijin Adiga, Sayjro Kossi Nouwakpo, Madhav Marathe
cs.CV updates on arXiv.org arxiv.org
Abstract: Irrigation mapping plays a crucial role in effective water management, essential for preserving both water quality and quantity, and is key to mitigating the global issue of water scarcity. The complexity of agricultural fields, adorned with diverse irrigation practices, especially when multiple systems coexist in close quarters, poses a unique challenge. This complexity is further compounded by the nature of Landsat's remote sensing data, where each pixel is rich with densely packed information, complicating the …
abstract arxiv complexity cs.cv diverse fields global incremental issue key management mapping multiple practices quality role sensing training type water water scarcity
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