Modeling of driving factors and headcut rates of ephemeral gullies in the loess plateau of China using high-resolution remote sensing images

Boyang Liua Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A & F University, Yangling, People’s Republic of China;b Institute of Water Saving Agriculture in Arid Areas of China, Northwest A & F University, Yangling, People’s Republic of ChinaView further author information

Ziyu Chenc College of Natural Resources and Environment, Northwest A & F University, Yangling, People’s Republic of ChinaView further author information

Bin Lia Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A & F University, Yangling, People’s Republic of China;b Institute of Water Saving Agriculture in Arid Areas of China, Northwest A & F University, Yangling, People’s Republic of ChinaView further author information

Shufang Wua Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A & F University, Yangling, People’s Republic of China;b Institute of Water Saving Agriculture in Arid Areas of China, Northwest A & F University, Yangling, People’s Republic of ChinaCorrespondence[email protected]
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Hao Fenga Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A & F University, Yangling, People’s Republic of ChinaView further author information

Xiaodong Gaob Institute of Water Saving Agriculture in Arid Areas of China, Northwest A & F University, Yangling, People’s Republic of ChinaView further author information

Kadambot H. M. Siddiqued The UWA Institute of Agriculture and School of Agriculture & Environment, The University of Western Australia, Perth, AustraliaView further author information

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Modeling of driving factors and headcut rates of ephemeral gullies in the loess plateau of China using high-resolution remote sensing images

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Modeling of driving factors and headcut rates of ephemeral gullies in the loess plateau of China using high-resolution remote sensing images

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