Spatiotemporal Data Fusion of Index-Based VTCI Using Sentinel-2 and -3 Satellite Data for Field-Scale Drought Monitoring-Reference-Cited by-同舟云学术

Spatiotemporal Data Fusion of Index-Based VTCI Using Sentinel-2 and -3 Satellite Data for Field-Scale Drought Monitoring

Published:2024 Issue: Volume:62 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhang Yue¹,Wang Pengxin¹^ORCID,Tansey Kevin²^ORCID,Li Mingqi¹,Guo Fengwei¹,Liu Junming³,Zhang Shuyu⁴

Affiliation:

1. College of Information and Electrical Engineering and the Key Laboratory of Agricultural Machinery Monitoring and Big Data Applications, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, China

2. School of Geography, Geology and the Environment, University of Leicester, Leicester, U.K.

3. College of Land Science and Technology, China Agricultural University, Beijing, China

4. Shaanxi Provincial Meteorological Bureau, Xi’an, China

Funder

National Natural Science Foundation of China

Royal Society-Newton Mobility Grant, U.K.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10339375.pdf?arnumber=10339375

Reference40 articles.

1. A comprehensive assessment of remote sensing and traditional based drought monitoring indices at global and regional scale

2. Temperature and drought impacts on rice production: An agronomic perspective regarding short- and long-term adaptation measures

3. Assimilation of the leaf area index and vegetation temperature condition index for winter wheat yield estimation using Landsat imagery and the CERES-Wheat model