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Extraction of Remote Sensing Information of LONGAN Under Support of “3S” Technology in Guangxi Province

  • Xin Yang
  • Chaohui Wu
  • Weiping Lu
  • Yuhong Li
  • Shiquan Zhong
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 344)

Abstract

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. The Maximum likelihood was used to extract the information of longan planting and their spatial distribution through the calculation of multiple-phase MODIS-NDVI in Guangxi and ten stylebook training regions of longan of being selected by GPS. Compared with the large and little regions of longan planting in monitoring image and the investigation of on the spot with GPS, the resolute shows that the longan planting information in remote sensing image are true. In this research, multiple-phase MODIS data were received during longan main growing season and preprocessed; NDVI temporal profiles of longan 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 longan in Guangxi in 2009 were created. The study suggests that it is possible to extract planting areas automatically from MODIS data for large areas.

Keywords

Longan 3S MODIS Information extraction 

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Copyright information

© IFIP International Federation for Information Processing 2011

Authors and Affiliations

  • Xin Yang
    • 1
    • 2
  • Chaohui Wu
    • 1
    • 2
  • Weiping Lu
    • 1
    • 2
  • Yuhong Li
    • 1
    • 2
  • Shiquan Zhong
    • 1
    • 2
  1. 1.Remote Sensing Application and Test Base of National Satellite Meteorology CentreNanningChina
  2. 2.GuangXi Institute of MeteorologyNanningChina

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