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1

Key Laboratory of Digital Earth Sciences, Institute of Remote Sensing and Digital Earth RADI, Chinese Academy of Sciences CAS, No.9 Dengzhuang South Road, Beijing 100094, China

2

German Remote Sensing Data Centre DFD, German Aerospace Centre DLR, D-82234 Wessling, Germany





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Abstract Accurate mapping of land cover on a regional scale is useful for climate and environmental modeling. In this study, we present a novel land cover classification product based on spectral and phenological information for the Xinjiang Uygur Autonomous Region XUAR in China. The product is derived at a 500 m spatial resolution using an innovative approach employing moderate resolution imaging spectroradiometer MODIS surface reflectance and the enhanced vegetation index EVI time series. The classification results capture regional scale land cover patterns and small-scale phenomena. By applying a regionally specified classification scheme, an extensive collection of training data, and regionally tuned data processing, the quality and consistency of the phenological maps are significantly improved. With the ability to provide an updated land cover product considering the heterogenic environmental and climatic conditions, the novel land cover map is valuable for research related to environmental change in this region. View Full-Text

Keywords: land cover classification; MODIS; phenology; Xinjiang Uygur Autonomous Region land cover classification; MODIS; phenology; Xinjiang Uygur Autonomous Region





Autor: Linlin Lu 1,* , Claudia Kuenzer 2, Huadong Guo 1, Qingting Li 1, Tengfei Long 1 and Xinwu Li 1

Fuente: http://mdpi.com/



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