Work

Modeling alpine grassland forage phosphorus based on hyperspectral remote sensing and a multi-factor machine learning algorithm in the east of Tibetan Plateau, China

Year: 2018

Type: article

Source: ISPRS Journal of Photogrammetry and Remote Sensing

DOI: 10.1016/j.isprsjprs.2018.11.015

Authors: Jinlong Gao, Baoping Meng, Tiangang Liang, Qisheng Feng, Jing Ge, Jianpeng Yin, Caixia Wu, Xia Cui, Mengjing Hou, Jie Liu, Hongjie Xie

Institutions: Ministry of Agriculture and Rural Affairs, Lanzhou University, The University of Texas at San Antonio

Language: English

Topic: Remote Sensing in Agriculture

Subfield: Ecology

Field: Environmental Science

Domain: Physical Sciences

SDGs: Zero hunger, Life on land

Open Access status: closed

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China, Program for Changjiang Scholars and Innovative Research Team in University

Awards: G1678671777, G1689297828, G3156435870

OpenAlex ID: W2901928690

FWCI: 4.454

Cites: 93

Cited by: 90

Related to: 10