Assessing the degree of flood damage to rice crops in the Chao Phraya delta, Thailand, using MODIS satellite imaging-Reference-Cited by-同舟云学术

Assessing the degree of flood damage to rice crops in the Chao Phraya delta, Thailand, using MODIS satellite imaging

Published:2015-04-30 Issue:1 Volume:14 Page:271-280
ISSN:1611-2490
Container-title:Paddy and Water Environment
language:en
Short-container-title:Paddy Water Environ

Author:

Kotera Akihiko,Nagano Takanori,Hanittinan Patinya,Koontanakulvong Sucharit

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Agronomy and Crop Science,Environmental Engineering

Link

http://link.springer.com/content/pdf/10.1007/s10333-015-0496-9.pdf

Reference30 articles.

1. Auynirundronkool K, Chen N, Peng C, Yang C, Gong J, Silapathong C (2012) Flood detection and mapping of the Thailand Central plain using RADARSAT and MODIS under a sensor web environment. Int J Appl Earth Obs Geoinf 14:245–255

2. Brakenridge GR, Anderson E, Nghiem SV, Caquard S, Shabaneh TB (2003) Flood warnings, flood disaster assessments, and flood hazard reduction: the roles of orbital remote sensing. 30th International Symposium on Remote Sensing of Environment, Honolulu, HI, November 10–14, 2003

3. Chen J, Jönsson P, Tamura M, Gu Z, Matsushita B, Eklundh L (2004) A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter. Remote Sens Environ 91:332–344

4. Chokngamwong R, Chiu LS (2008) Thailand daily rainfall and comparison with TRMM products. J Hydrometeorol 9:256–266

5. Dartmouth Flood Observatory (2012) Space-based measurement of surface water for research, educational, and humanitarian applications. Available at http://www.dartmouth.edu/floods/index.html

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