期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B4
页码：1693-1700
出版社：Copernicus Publications
摘要：Recently, a rapid decline in the quality of Indian tea production has been observed due to the old age of the plantations, disease and pests infestations and frequent application of pesticides and insecticides. This paper shows an application of remote sensing and GIS technologies for monitoring tea plantations. We developed an approach for monitoring and assessing tea bush health using texture and tonal variations from Landsat, Aster and LISS III images. The Gray Level Co-occurrence Matrix (GLCM) categorizes the tea into healthy, moderately healthy and diseased tea. We observed from the study that the GLCM could be used for delineating the affected and non-affected tea patches at different resolutions
关键词：Remote Sensing; Geographic Information System (GIS); GLCM; Texture; Healthy; Moderately Healthy; Diseased ; Tea patches
