Retrieval of soil moisture and vegetation characteristics by use of ERS-1 wind scatterometer over arid and semi-arid areas-Reference-Cited by-同舟云学术

Retrieval of soil moisture and vegetation characteristics by use of ERS-1 wind scatterometer over arid and semi-arid areas

Published:1997-02 Issue: Volume:188-189 Page:361-384
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Magagi R.D.,Kerr Y.H.

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference34 articles.

1. Extraction de paramètres d'un couvert végétal en télédétection hyperfréquence active, méthodologie et application aux données en bande C pour l'humidité du sol et la biomasse en eau de couverts de soja;Alphonse,1988

2. Vegetation modeled as a water cloud;Attema;Radio Sci.,1978

3. Which type of SVAT is needed for large scale atmospheric models?;Avissar,1995

4. Measured microwave emission and scattering in vegetation canopies;Brunfeldt;IEEE Trans. Geosci. Remote Sens.,1984

5. Airborne microwave radiometry on semi-arid area during HAPEX-Sahel;Chanzy;J. Hydrol.,1997

Cited by 71 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automatic Smart Irrigation System;2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE);2024-01-24

2. Enhancing Root-Zone Soil Moisture Estimation Using Richard's Equation and Dynamic Surface Soil Moisture Data;2024

3. A new global C-band vegetation optical depth product from ASCAT: Description, evaluation, and inter-comparison;Remote Sensing of Environment;2023-12

4. Strategies to Measure Soil Moisture Using Traditional Methods, Automated Sensors, Remote Sensing, and Machine Learning Techniques: Review, Bibliometric Analysis, Applications, Research Findings, and Future Directions;IEEE Access;2023

5. Microwave remote sensing for agricultural drought monitoring: Recent developments and challenges;Frontiers in Water;2022-11-30