Knowledge-based land use mapping integrated GIS and time-series MODIS NDVI data in Lhasa River basin, Tibet

Shengwei Zhang; Yuping Lei; Li Zheng; Hongjun Li; Tianjun Tang; Zhen Wang

doi:10.1117/12.800582

10 October 2008 Knowledge-based land use mapping integrated GIS and time-series MODIS NDVI data in Lhasa River basin, Tibet

Shengwei Zhang, Yuping Lei, Li Zheng, Hongjun Li, Tianjun Tang, Zhen Wang

Author Affiliations +

Proceedings Volume 7110, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VIII; 71100Y (2008) https://doi.org/10.1117/12.800582
Event: SPIE Remote Sensing, 2008, Cardiff, Wales, United Kingdom

Abstract

Tibet Plateau plays an important role in global changing and ecosystem studies because of its unique geographical location and topography. Lhasa river basin which locates in the center of Tibet Plateau is a typical and important region for agriculture and stockbreeding in Tibet. In this study a method of land cover mapping from 250m MODIS (Moderate Resolution Imaging Spectroradiometer) product Normalized Difference Vegetation Index (NDVI) MOD13Q1 data is presented. This knowledge-based method combines phenophase character of plants with time-series remote sensing data and Geographic Information System spatial analysis. A quality assessment analysis is performed to time-series data by temporal and spatial interpolation of invalid and missing data. The NDVI value is converted into a relative NVDI to avoid the misclassification arising by data change of spatial and temporal. The preliminary results are compared with both field observation points and classification mapped from Landsat TM imagery. The comparison indicates the result of classification is promising.

Citation Download Citation

Shengwei Zhang, Yuping Lei, Li Zheng, Hongjun Li, Tianjun Tang, and Zhen Wang "Knowledge-based land use mapping integrated GIS and time-series MODIS NDVI data in Lhasa River basin, Tibet", Proc. SPIE 7110, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VIII, 71100Y (10 October 2008); https://doi.org/10.1117/12.800582

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KEYWORDS

MODIS

Geographic information systems

Vegetation

Data modeling

Remote sensing

Associative arrays

Chromium

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