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The Reseach And Implementation Of Grassland Monitoring System Based On WebGIS

Posted on:2008-09-27Degree:MasterType:Thesis
Country:ChinaCandidate:Y S YangFull Text:PDF
GTID:2143360215457231Subject:Grassland
Abstract/Summary:PDF Full Text Request
Grassland is one of the most important vegetation forms in China. It is an important renewal resource and raw material base for the animal husbandry. To man, the grassland plays a key role in living and development. But the grassland deterioration has alerted us. From 1989 to 1999, the deterioration area had increased by 4333 thousands hm~2. The deterioration can cause the descent with grassland ecosystem productivity and net ecosystem productivity. Overgrazing and reclaiming cause the deterioration.Therefore, it is of great important for us to investigate natural grassland resource and clarity the quantity, quality, productivity status and development potential of the resource, furthermore, to improve the productivity and economic benefit of grassland resource, so that we can make use of and develop grassland resource more scientifically."3S" technique (GIS,RS,GPS) shows its charming in investigating resources, monitoring environment and planning region etc. A great deal of work had been done with MSS,TM,NOAA/AVHRR and MODIS data in grassland resource investigation both at home and abroad, especially in the assessment of grassland productivity. However, we acquired from the literature review that most of their effort focused on the research of carrying capacity of grassland during certain period, what is more, little working dealt with WebGIS.This paper integrates "3S" technique (GIS,RS,GPS) with the special knowledge to answer questions as following : Where is, how many the grass yield is and how many the carrying capacity is .The research involves two parts:1. According to The Key Pasture Theory advised by Prof. Chen Quangong, we developed an regression model which is suitable for productivity assessment based on remote sensing data as MODIS/TERRA VGETATION INDICES 16-DAY L3 GLOBAL 250M SIN GRID V004 product obtained from NASA and some field observation data collected from Aletai district of Sinkiang province in 2006, which is suggested the following equation:Y = -6860.252 + 632.415X - 8.337X~2 + 0.034X~3 Where Y is grass yield, X is vegetation index (ARNDVI)。2. We designed WebGIS-based grassland monitoring system for China to meet the needs of grassland monitoring and development.1) The system integrated the characteristics of DesktopGIS and WebGIS will release ground vegetation monitoring results obtained from MODIS data (with the ground resolution of 250M and can be downloaded for free) in the form of theme maps reflecting glass yield periodically. 2) The system had released theoretical carrying capacity of grassland and key pasture carrying capacity at Aletai district of Sinkiang province in 2006, and will give warning every September.3) The system will collect the data and information of grassland monitoring.As a result assist interpret remote sensing imageries precisely, so that can promise the success of the decision support system.
Keywords/Search Tags:grassland monitoring, grass yield, carrying capacity, WebGIS
PDF Full Text Request
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