Paper
9 December 2014 Spatial distributing characteristics of land use in the southern slope of mid-Himalaya Mountains
Chen Lu
Author Affiliations +
Proceedings Volume 9260, Land Surface Remote Sensing II; 92604N (2014) https://doi.org/10.1117/12.2077211
Event: SPIE Asia-Pacific Remote Sensing, 2014, Beijing, China
Abstract
The southern slope of mid-Himalayan Mountains located in China’s Qomolangma National Natural Reserve in Tibet Autonomous Region, is made up of several non-continuous valleys. The study collected the data including DEM(SRTM90m), 1/250,000 land use map(year 2000), 1/100 million vegetation types map ,satellite images of 4 typical valleys on Google Earth Planet Map. Made use of ArcGIS9.3 spatial analysis technology, analyzed into the 2 aspects— Mountain altitudinal belts and slope gradient of soil types of Qinghai-Tibet Plateau, so as to abtain the spatial distributing characteristics of farmland and grassland in the research areas. The conclusions indicates that: (1)no farmland below 2200m altitude, land use is influenced intensively by slope gradient factor in the altitude range of < 2500m; (2)it is in 2500m-3800m altitude range meanwhile on the 2 farming suitable slope gradient belts(<5°, 5-15°) that the very focus zone has got the relatively larger potential, suitability and yield of farming utilization; (3)on the 3 grazing suitable slope gradient belts(<5°,5-15°,15-35°), the respective fodder quantities of the 4 valleys has low differences. land use of the 4 valleys are intensively restricted by altitude and slope gradient factors so that cultivating and grazing activities take place widely on the farming unsuitable slope gradient belts(15-35°,>35°) and grazing unsuitable slope gradient belt(>35°), which is disadvantaged to ecological environmental protection and rational utilization of land resources.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chen Lu "Spatial distributing characteristics of land use in the southern slope of mid-Himalaya Mountains", Proc. SPIE 9260, Land Surface Remote Sensing II, 92604N (9 December 2014); https://doi.org/10.1117/12.2077211
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KEYWORDS
Data modeling

Remote sensing

Soil science

Satellite imaging

Satellites

Spatial analysis

Analytical research

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