Determination of Potato Crop Cultivation in Hamedan Province, Using time series Satellite Images IRSP6
Subject Areas : Land use planning
Ali
shahbazi
1
(Department of natural resources)
Loghman
khodakrami
2
(Faculty of Technology, Koya University)
kamran
nasirahmadi
3
(Faculty of Chemical and Industrial Engineering)
Keywords: Rremote sensing, Fuzzy Classification Method, cultivated, SAVI, NDVI ,
Abstract :
The aim of this study is to detect and quantify the cultivated area of potato fields in Hamadan Province using remote sensing methods and a time series of satellite photos. As a result, Awifs time-series imaging was used to determine the potato cropping area. For this purpose, pictures were taken at three different times when the potato plant turned green and yellow. Processing such as preparation, atmospheric and geometric correction, vegetation index, and unsupervised classification were performed on the images using appropriate training sites for supervised classification. Following the integration of these two layers, the studied area under the cropping map was prepared using the phase classification method. Additionally, by using the vegetation indices NDVI and SAVI, the area under cropping for the three main crop yields is determined first using the threshold level technique and in three temporal intervals. The kapa coefficient for potato under cropping area determined by phase classification, NDVI, and SAVI was 90, 87, and 85%, respectively. In 1998, the potato cropping area was determined to be 38740, 36728, and 36614 acres, respectively. This study clearly shows that the phase classification method and Awif data time series can be used to recognize and estimate potato under cropping area with acceptable precision and that vegetation indices distinguish potato under cropping area faster.
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