Season-long daily measurements of multifrequency (Ka, Ku, X, C, and L) and full-polarization backscatter signatures over paddy rice field and their relationship with biological variables-Reference-Cited by-同舟云学术

Season-long daily measurements of multifrequency (Ka, Ku, X, C, and L) and full-polarization backscatter signatures over paddy rice field and their relationship with biological variables

Published:2002-08 Issue:2-3 Volume:81 Page:194-204
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Inoue Y.,Kurosu T.,Maeno H.,Uratsuka S.,Kozu T.,Dabrowska-Zielinska K.,Qi J.

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference18 articles.

1. Vegetation modeled as a water cloud;Attema;Radio Science,1978

2. Crop parameter estimation from ground-based X-band (3-cm wave) radar backscattering data;Bouman;Remote Sensing of Environment,1991

3. Microwave response to canopy moisture, leaf area index, and dry weight of wheat corn and sorghum;Brakke;Remote Sensing of Environment,1981

4. Agricultural applications with radar;Brisco,1998

5. Generalized semi-empirical modeling of wheat radar response;Champion;International Journal of Remote Sensing,2000

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