Using Remote Sensing for Tangerine (Citrus reticulata Blanco) Decline Detection
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Creator Walaiporn Sasiprapa
Title Using Remote Sensing for Tangerine (Citrus reticulata Blanco) Decline Detection
Contributor Isiwat Bandrapiwat, Kitkamol Poathong, Supachai Atichat, Wit Namruangsri, Jaruwan Chartisathian
Publisher Department of Agriculture
Publication Year 2551
Journal Title Thai Agricultural Research Journal
Journal Vol. 26
Journal No. 1
Page no. 9-21
Keyword tangerine, Citrus reticulata, decline detection, image processing and classification
URL Website https://at.doa.go.th/journal
Website title Thai Agricultural Research Journal
ISSN 0125-8389
Abstract Studies on the potential of SPOT images for tangerine (Citrus reticulata Blanco) decline identification in Fang district, Chiang Mai province was made during 2005 - 2007. The results wee found that the levels of citrus decline to 5 levels which classified from 1 to 5 as a healthy citrus and 5 as a severe citrus damage. The information of each plantation and their damages were collected to represent each level of citrus decline. All images were georeferenced and analyzed wavelet of each bands namely NIR, R, G, SWIR and vegetation index by level of decline. Spectral reflectance from orange groves namely R, SWIR, NDVI< green NDVI, was significantly correlated with levels of tangerine decline. Tangerine decline All images were georeferenced and analyzed wavelet of each bands namely NIR, R. G, SWIR and vegetation index by level of decline. Spectral reflectance from orange groves namely R, SWIR, NDVI, green NDVI, was significantly correlated with levels of tangerine decline. Tangerine decline assessment used SPOT images acquired in March, 2007 with supervised classification technique, was applied to classify orage area in Fang district and calculated areas of 1-5 levels were 627, 21,648, 12,915 and 5,837 rai respectively. But the young and new planting tangerine were mized and led to misclassification area in level 5. So mature tangerine should be an area of interest.
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