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Study on the Usage of MODIS Data for 1:1000,000 Land-covers Mapping in China

Author: ZhaoDeGang
Tutor: LiuChengLinï¼›ZhanYuLin
School: Nanchang University
Course: Municipal Engineering
Keywords: Land cover MODIS Fuse Classification feature Classifier
CLC: P285
Type: Master's thesis
Year: 2009
Downloads: 70
Quote: 0
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Abstract


The distribution of land cover types affect the Earth's ecosystem material and energy exchange by means of remote sensing to establish global and regional scales large areas of land cover types database for global change research significance very much. Greater the rate of change of the environment, land cover change research is the focus of global change research, but our coverage of large areas of land still lags behind. In this paper, MODIS data to support the Chinese regional scale land cover classification maps spatial resolution, participate in classification is feature selection and other issues were studied. Through research we can conclude that: (1) MODIS data fusion itself, can improve the low spatial resolution of MODIS band (B 3-7 ) (500m) spatial resolution. Especially the use of relatively abundant amount of information near infrared (B 2 ), better able to improve the spatial resolution and image fusion informative. By spectral fidelity and land cover classification overall accuracy evaluation of image fusion can be drawn SFIM transform spectral distortion in the case of small to a large extent to improve land cover classification accuracy, and the transformation algorithm is simple, easy to operate, pairs of homologous integration of remote sensor data does not exist between the registration error. So use SFIM transform, using B 2 to the other bands were fused to raising MODIS spatial resolution for improved land cover classification is an effective means. (2) Overall, MODIS images for land cover classification of the best phase difference is larger spectroradiometer spring. MODIS multispectral band on the contribution of different land cover classification, and the features extracted from the reflectance indices such as EVI, NDWI, NDSI, etc. added to the spectrum, you can make the total land cover classification accuracy is improved. Multi-spectral and temporal information integration can rapidly improve the classification accuracy. Thus, in MODIS images of the land cover classification applications, and when combined with spectral information can be selected to minimize the input band to achieve the classification accuracy requirements. (3) within the region in China with MODIS NDVI temporal data added to the 7-band reflectance and NDWI, NDSI and other characteristics index resolution of 250 meters of land cover classification mapping, get better-1:1000000 China land cover maps, which makes up for the lack of medium resolution before the land cover classification transitional product shortcomings.

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CLC: > Astronomy,Earth Sciences > Surveying and Mapping > Cartography ( Cartology ) > Specialized map production
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