Using Remote Sensing for Tangerine (Citrus reticulata Blanco) Decline Detection

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.