Evolution of Semi-empirical Approach: Modeling and Inversion-Reference-Cited by-同舟云学术

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Evolution of Semi-empirical Approach: Modeling and Inversion

Published:2021 Issue: Volume: Page:73-106
ISSN:2198-0721
Container-title:Radar Remote Sensing for Crop Biophysical Parameter Estimation
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Author:

Mandal Dipankar,Bhattacharya Avik,Rao Yalamanchili Subrahmanyeswara

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-4424-5_4

Reference60 articles.

1. Attema E, Ulaby FT (1978) Vegetation modeled as a water cloud. Radio Sci 13(2):357–364

2. Bacour C, Jacquemoud S, Tourbier Y, Dechambre M, Frangi JP (2002) Design and analysis of numerical experiments to compare four canopy reflectance models. Remote Sens Environ 79(1):72–83

3. Baghdadi N, El Hajj M, Zribi M, Bousbih S (2017) Calibration of the water cloud model at C-band for winter crop fields and grasslands. Remote Sens 9(9):969

4. Bériaux E, Lambot S, Defourny P (2011) Estimating surface-soil moisture for retrieving maize leaf-area index from SAR data. Can J Remote Sens 37(1):136–150

5. Bériaux E, Waldner F, Collienne F, Bogaert P, Defourny P (2015) Maize leaf area index retrieval from synthetic quad pol SAR time series using the water cloud model. Remote Sens 7(12):16204–16225

Cited by 1 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. Soil Moisture Retrieval During Crop Growth Cycle Using Satellite SAR Time Series;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023

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