Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W3, 1339-1344, 2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
30 Apr 2015
J. Bai1, Y. Zhao1, L. Sheng1,2, Y. Li1, and G. Lv1 1China TOPRS Technology Co., Ltd, Beijing 100039, China
2Henan Polytechnic University School of Surveying and Land Information Engineering, Henan Jiaozuo 454000, China
Keywords: Long time series, geographical conditions monitoring, indicator system, temporal and spatial variation Abstract. To fully grasp the nature and human geography situation information, solve the problem of ecological environment, economic and social development of the country, monitoring the state of geographic condition by uniform index system has great significance. By collecting the existing standard documents, our paper established a suit of index system considering the characteristics of long time series remote sensing data. The index system includes basic, subject, composite statistical indexes, and statistical indexes based on basic geographic element. The spatial and temporal distribution of geographic condition with Landsat TM image in Haidian district of Beijing from 1983 to 2013 are studies. Results show that farmland decreases by 28.60%, build-up land increases by 38.95% in this period. The amount of land resources in different elevation/slope shows that, with the increase of elevation/slope, farmland and build-up land is gradually reduced, while grassland area is gradually increasing. In plains areas of elevation less than 50m and within the scope of the 0 to 3° slope, farmland and build-up land are the main land cover types, and both show the characteristic of tradeoffs. Urban area extended to the west and the north, meanwhile mass center of Haidian also moves to the northwest. The urban compactness decreases and the fractal index increased gradually, reflecting the city saturation degree become reduced, the city boundary becomes complicated gradually. The comprehensive land cover dynamic degree after the first decrease and then increases. Finally, based on the above statistic results, the spatial distribution of land cover in 2015 is predicted.
Conference paper (PDF, 1647 KB)

Citation: Bai, J., Zhao, Y., Sheng, L., Li, Y., and Lv, G.: USE OF LANDSAT-SERIES DATA IN NATIONAL GEOGRAPHIC CONDITION MONITORING IN CHINA, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W3, 1339-1344,, 2015.

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