DocumentCode :
631300
Title :
Flood damage assessment for cultivated lands: BVDA based adaptive thresholding and local statistics
Author :
Kasapoglu, Necip Gokhan ; Kocabas, Verda
Author_Institution :
Dept. of Phys. & Technol., Univ. of Tromso, Tromso, Norway
fYear :
2013
fDate :
12-14 June 2013
Firstpage :
97
Lastpage :
102
Abstract :
Determining the land lost due to excess moisture for a harvest season is very important for the farmers. Quick and easy way of doing that is to utilize satellite imagery which provides accurate moisture damage calculations. In this study, an automated analysis technique is developed to process SPOT 5 Panchromatic data for delineating excess moisture on cultivated lands. The proposed method was validated with the maps that were manually digitized by imagery technicians. A total of six different SPOT 5 Panchromatic scenes acquired from May to July in 2011 over six different farming regions in Alberta and Saskatchewan, Canada were used in excess moisture damage assessment experiments. The preliminary results show that using BVDA as a dynamic threshold method resulted in more consistent and accurate results than CFAR. Incorporating local statistics with the global ones decreases the false alarm rate and increases the robustness of the results. Excess moisture layer over cultivated lands that is produced with the proposed methodology can be useful to farmers applying for crop insurance programs which might result in potential payments for unseeded acres.
Keywords :
agriculture; floods; geophysical image processing; hydrological techniques; remote sensing; AD 2011 05 to 07; Alberta; BVDA based adaptive thresholding; Canada; SPOT 5 Panchromatic data; SPOT 5 Panchromatic scenes; Saskatchewan; automated analysis technique; crop insurance programs; cultivated lands; dynamic threshold method; false alarm rate; flood damage assessment; harvest season; imagery technicians; land lost; local statistics; moisture damage assessment experiments; moisture damage calculations; satellite imagery; Detectors; Floods; Maximum likelihood detection; Moisture; Soil; Training; Vectors; Border vector detection and adaptation (BVDA); SPOT HRG; classification; excess moisture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Recent Advances in Space Technologies (RAST), 2013 6th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-6395-2
Type :
conf
DOI :
10.1109/RAST.2013.6581355
Filename :
6581355
Link To Document :
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