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Research on plant information identification, extraction and change monitoring based on multi-source remote sensing data

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2 Author(s)
Liu Chuanli ; Fac. of Archit. & surveying Eng., Jiangxi Univ. of Sci. & Technol., Ganzhou, China ; Qiumin, Liao

The paper first gives an effective integration on high resolution RS image and multi-spectral RS data on the basis of RS image geometric correction, image mosaic and subset; then introduces many kinds of vegetation indices such as NDVI, PVI, RVI, SAVI, GVI, DVI and so on, and analyses the characteristic of vegetation indices, builds normalized difference vegetation index (NDVI) of study area; later plant information in the study area is extracted with high accuracy by decision tree method, according to different spectral features of different plants, so as to make thematic pictures of plant distribution. Finally it probes the method of planting area change monitoring and plant growth monitoring by the application of multi-temporal RS data in order to provide a reliable basis for decision making and for agriculture management..

Published in:

Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA International Conference on  (Volume:2 )

Date of Conference:

28-31 Aug. 2010