Paper
6 October 2011 Damage estimation on agricultural crops by a flood
Nalleli del Carmen Silva-Aguila, Alejandra López-Caloca, José Luis Silván-Cárdenas
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Abstract
Southeastern Mexico, particularly Tabasco's flatlands which experienced a severe flood in 2007, was used as a case study for testing a methodology for the estimation of direct damage looses on agricultural crops by flooding. We proposed an accurate delineation of agricultural lands of multispectral images (SPOT-5) which consist on ensemble classifiers trough a majority voting, that combine spatial and spectral information. Finally in order to evaluate the impact of floodwater, a radar data (RADARSAT-1), were used for both, delineating the flood extent and estimating water depth. These layers were overlaid on the agricultural crop classification layer, and crop yield damage was estimated using a depth damage function. The results of this research quantified and evaluated the overall economic loss (tangible damage) from the impact of floodwater on agricultural crops.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nalleli del Carmen Silva-Aguila, Alejandra López-Caloca, and José Luis Silván-Cárdenas "Damage estimation on agricultural crops by a flood", Proc. SPIE 8174, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII, 81740D (6 October 2011); https://doi.org/10.1117/12.897924
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KEYWORDS
Agriculture

Image segmentation

Floods

Image classification

Image processing

Radar

Climatology

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