Estimating the Applicability of NDVI and SIF to Gross Primary Productivity and Grain-Yield Monitoring in China
Vegetation, a key intermediary linking water, the atmosphere, and the ground, performs extremely important functions in nature and for our existence. Although satellite-based remote-sensing technologies have become important for monitoring vegetation dynamics, selecting the correct remote-sensing ve...
Main Authors: | Zhaoqiang Zhou, Yibo Ding, Suning Liu, Yao Wang, Qiang Fu, Haiyun Shi |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-07-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/14/13/3237 |
Similar Items
-
Comprehensive evaluation of vegetation responses to meteorological drought from both linear and nonlinear perspectives
by: Zhaoqiang Zhou, et al.
Published: (2022-08-01) -
The Relationship of Gross Primary Productivity with NDVI Rather than Solar-Induced Chlorophyll Fluorescence Is Weakened under the Stress of Drought
by: Wenhui Zhao, et al.
Published: (2024-01-01) -
Relationship between MODIS Derived NDVI and Yield of Cereals for Selected European Countries
by: Ewa Panek, et al.
Published: (2021-02-01) -
Analysis of Relationship between Grain Yield and NDVI from MODIS in the Fez-Meknes Region, Morocco
by: Mohamed Belmahi, et al.
Published: (2023-05-01) -
Drought did not change the linear relationship between chlorophyll fluorescence and terrestrial gross primary production under universal biomes
by: Liping Jia, et al.
Published: (2023-06-01)