Work

Predicting rice productivity for ground data-sparse regions: A transferable framework and its application to North Korea

Year: 2024

Type: article

Source: The Science of The Total Environment

DOI: 10.1016/j.scitotenv.2024.174227

Authors: Yu Shi, Linchao Li, Bingyan Wu, Yajie Zhang, Bin Wang, Wenhao Niu, Liang He, Ning Jin, Shufen Pan, Hanqin Tian, Qiang Yu

Institutions: Peking University, State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Auburn University, Northwest A&F University, China Meteorological Administration, Shanxi Institute of Energy, Boston College

Language: English

Topic: Remote Sensing in Agriculture

Subfield: Ecology

Field: Environmental Science

Domain: Physical Sciences

SDGs: Zero hunger, Industry, innovation and infrastructure

Open Access status: bronze

OpenAlex ID: W4399993110

FWCI: 2.408

Cites: 65

Cited by: 9

Related to: 10