A shape-attention Pivot-Net for identifying central pivot irrigation systems from satellite images using a cloud computing platform: an application in the contiguous US

A shape-attention Pivot-Net for identifying central pivot irrigation systems from satellite images using a cloud computing platform: an application in the contiguous US

Forty percent of global food production relies upon irrigation, which accounts for 70% of total global freshwater use. Thus, the mapping of cropland irrigation plays a significant role in agricultural water management and estimating food production. However, current spaceborne irrigated cropland map...

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Bibliographic Details
Main Authors: Fuyou Tian, Bingfang Wu, Hongwei Zeng, Miao Zhang, Yueran Hu, Yan Xie, Congcong Wen, Zhengdong Wang, Xingli Qin, Wei Han, Honghai Yang
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:GIScience & Remote Sensing
Subjects:
shape-attention
multi-task learning
irrigation mapping
central pivot irrigation system
cloud computing
Online Access:http://dx.doi.org/10.1080/15481603.2023.2165256

Internet

http://dx.doi.org/10.1080/15481603.2023.2165256

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