Extraction of Remote Sensing Information Ofbanana Under Support of 3S Technology Inguangxi Province
This paper presents an automatic approach to planting areas extraction for mixed vegetation and hilly region, more cloud using moderate spatial resolution and high temporal resolution MODIS data around Guangxi province, south of China. According to banana growth lasting more 9 to 11 months, and the areas are reduced during crush season, the Maximum likelihood was used to extract the information of banana planting and their spatial distribution through the calculation of multiple-phase MODIS-NDVI in Guangxi and stylebook training regions of banana of being selected by GPS. Compared with the large and little regions of banana planting in monitoring image and the investigation of on the spot with GPS, the resolute shows that the banana planting information in remote sensing image are true. In this research, multiple-phase MODIS data were received during banana main growing season and preprocessed; NDVI temporal profiles of banana were generated;models for planting areas extraction were developed based on the analysis of temporal NDVI curves; and spatial distribution map of planting areas of banana in Guangxi in 2006 were created. The study suggeststhat it is possible to extract planting areas automatically from MODIS data for large areas.
KeywordsNormalize Difference Vegetation Index Banana Planting Guangxi Province Atmospheric Profile Normalize Difference Vegetation Index Variety
- Cheng Qian, Huang J F. Analyses of the Correlation Between Rice LAI and Simulated MODIS Vegetation Indices. Red Edge Position U). Transactions of the CSAE, 2003, 19(5):104–108.Google Scholar
- Huete A, Justice C, Leeuwen V. MODIS Vegetation Index(MOD1 3)Version 3. April 1999 algorithm Theoretical Basis Document.Google Scholar
- Kontoes C, Wilkinson G G, Burril A, et al. An Experimental System for the Integration of GIS Data in Knowledge Based Image Analysis for Remote Sensing of Agriculture. International Journal of Geographical Information Systems, 1993, 7(3):247–262Google Scholar
- Zhao M S, Fu C B, Yan X D, et al. Study on the relationship between different ecosystem and climate in China using NOAA/AVHRR data. Acta Geographica Sinica, 2001, 56(3):287–296.(in Chinese)Google Scholar
- Zheng Y R, Zhou G S. A forest vegetation NPP model based on NDVI. Acta Phytoecologica Sinica,2002,24:9–12. (in Chinese)Google Scholar