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REMOTE SENSING MONITORING OF THE DYNAMIC CHANGES OF VEGETATION COVERAGE AND ITS TYPES BEFORE AND AFTER THE EMERGENT WATER TRANSPORTATION TO THE LOWER REACHES OF THE TARIM RIVER

By Z. L. Yan A, H. F. Tian C, Q. Hang B, R. Zhuo D, Y. Q. Wang D and C. Xia D

Abstract

Two factors of the vegetation coverage and its types sensible to the ecological changes before and after the Emergent Water Transportation Project are investigated based on three periods of the multi-source and multi-type remote sensing (RS) images such as TM image, ETM image and ASTER image collected from the summer of 1999, 2002 and 2004, respectively, together with the basic geographic data and the special data in the target research. The framework of system classification, conversion model building, remote sensing extraction and interpretation are opted to be used as well as field investigation and databases warehouse building technology, the theory of the integrative spatial and attribute data and seamless integration of multi-source data. The gathered data are reclassified, stored and managed in the respective databases for further repetitive extraction and verified analyses. The vegetation coverage and its types, on the ground of geographic information system (GIS) technology and the groundwater levels during the real-time monitoring, are calculated through the mathematic statistic method, and analyzed in a qualitative and quantitative way. The potential vegetation coverage is categorized into four classes: poor, lower, moderate and satisfactory, respectively, and then extracted and examined. The vegetation types are interpreted and separated into four classes: waste grassland,farm land, forest land, reed field. The research indicates that: (1) The moderate and satisfactory coverage of vegetation evidently go up in area by 1.68 x10 3 hm 2, 9.09 x10 3 hm 2 respectively. The poor, lower vegetation coverage areas constantly fall into decline by 7.83 x10 3 hm 2, and 9.9

Topics: KEY WORDS, Environmental Monitoring, Spatial-temporal Analysis, Spatial database, Remote Sensing, Vegetation Coverage, Vegetation Type, Tarim River ABSTRACT
Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.183.9077
Provided by: CiteSeerX
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