Systematic Review of Remote Sensing Prediction Models and Tools for Estimating Surface Soil Moisture Content of an Area
Soil Moisture is a critical parameter for water resource management, agriculture, and disaster prediction. Different methods are used to estimate Soil Moisture. Hence, the objective of this paper was to systematically review remote sensing (RS) prediction models and tools for estimating surface soi...
Saved in:
Main Authors: | P. Yamakili, M. R. Nicholaus, K. A. Greyson |
---|---|
Format: | Article |
Language: | English |
Published: |
Joint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP)
2025-02-01
|
Series: | Journal of Applied Sciences and Environmental Management |
Subjects: | |
Online Access: | https://www.ajol.info/index.php/jasem/article/view/288106 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Permafrost Dynamics Observatory: 3. Remote Sensing Big Data for the Active Layer, Soil Moisture, and Greening and Browning
by: Elizabeth Wig, et al.
Published: (2025-01-01) -
Enhancing Soil Moisture Prediction in Drought-Prone Agricultural Regions Using Remote Sensing and Machine Learning Approaches
by: Xizhuoma Zha, et al.
Published: (2025-01-01) -
Principles of remote sensing : An introductory textbook /
by: Bakker WIm H ...[et al.]
Published: (2000) -
Using remote sensing and machine learning to generate 100-cm soil moisture at 30-m resolution for the black soil region of China: Implication for agricultural water management
by: Liwen Chen, et al.
Published: (2025-03-01) -
Developing a method for root-zone soil moisture monitoring at the field scale using remote sensing and simulation modeling
by: Hamideh Noory, et al.
Published: (2025-03-01)