Extraction of the vegetation fraction based on a stepwise spectral mixture analysis for the central and eastern area of source region of Yangtze, Yellow and Lantsang Rivers

Li, Xiao-Xue; An, Ru; Chunmei, QU; Yang, Ruinan; Tianyu, Gong; Wu, Hong; Lu, Lei; Liu, Yingying; Liang, Xin

doi:10.1117/12.912343

Cited by 1 publication

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The optimal linear endmember combination can be selected by comparing multiple endmember models in one mixed pixel based on the MESMA. Terrain shade is considered an endmember in the MESMA and can increase the accuracy of the model [53]. Vegetation and shade constitute a two-endmember model called the vegetation-shade model, and vegetation, cultivated land and shade constitute a three-endmember model called the vegetation-cultivated land-shade model.…”

Section: Multiple Endmembers Spectral Mixture Analysismentioning

confidence: 99%

Cultivated Land Information Extraction and Gradient Analysis for a North-South Transect in Northeast Asia between 2000 and 2010

et al. 2014

View full text Add to dashboard Cite

Cultivated land resources are an important basis of regional sustainability; thus, it is important to determine the distribution of the cultivated land in the Northeast Asia trans-boundary area of China, Russia and Mongolia, which has a continuous geographic and ecological environment and an uneven population distribution. Extracting information about the cultivated land and determining the spatial and temporal distribution of its features in this large trans-boundary area is a challenge. In this study, we derived information about the cultivated land of the North-South indicate the presence of a greater amount of cultivated land in the south and less in the north. China owns most of the cultivated land in the transect area, followed by Mongolia and then Russia. A gradient analysis revealed a decrease of 34.16% of the cultivated land between 2000 and 2010. The amount of cultivated land decreased 22.37%, 58.93%, and 64.73% in China, Russia, and Mongolia, respectively. An analysis shows that the amount of cultivated land is primarily influenced by the various land development and protection policies in the different counties in this trans-boundary area.

show abstract

Section: Multiple Endmembers Spectral Mixture Analysismentioning

confidence: 99%