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2012 | 21 | 3 |
Tytuł artykułu

Study of environmental change detection using remote sensing and GIS application: A case study of Northern Shaanxi Province China

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Języki publikacji
This research focuses on the environmental change indicators in the northern part of Shaanxi Province, China. Remote sensing and GIS software were used to classify Landsat TM of 1987 and Landsat ETM+ of 2002 imagery into five land use and land cover (LULC) classes. Supervised classification and change detection techniques were adopted in this research and used, respectively, to retrieve its class boundary. The results showed that 7,867.3 Km² (28.4%) of land had high environmental change, 9,474.1 Km² (34.2%) had moderate, and 1,0360.6 Km² (37.4%) of land had low environmental change. In conclusion, the study location is exposed to a high risk of environmental change.
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Opis fizyczny
  • Environmental Science and Engineering College, Huazhong University of Science and Technology, 1037 Luoyu Road, 430074 Wuhan, China
  • 1. NUKET B. Using the Geographical Information System and Remote Sensing Techniques for Soil Erosion Assessment. Pol. J. Environ. Stud., 19, (5), 881, 2010.
  • 2. AHADNEJED AND RABET. International archives of photogrammetry, remote sensing, and spatial information science. XXXVIII, (2), ISSN 1682-1777, 2010.
  • 3. LEŚNIAK A., PORZYCKA S. Environment monitoring using satellite radar interferometry technique (PSInSAR). Pol. J. Environ. Said., 17, (3A), 382, 2008.
  • 4. XIAOYU L., DUNING X., XINGYUAN H., WEI C., DONGMEI S. Evaluation of landscape changes and ecological degradation by GIS in arid regions: a case study of the terminal oasis of the Shiyang River, northwest China. Environ. Geol. 52, 947, 2007.
  • 5. JAY G., YANSUI L., YIFU C. Land cover changes during agrarian restructuring in Northeast China. Appl. Geogr. 26, 312, 2006.
  • 6. ALMEIDA-FILHO R„ SHIMABUKURO Y.E. Digital processing of a Landsat-TM time series for mapping and monitoring degraded areas caused by independent gold miners, Roraima State, Brazilian Amazon. Remote Sens. Environ., 79, 42, 2002.
  • 7. HABOUDANE D., BONN F., ROYER A., SOMMER S., MEHL W. Land degradation and erosion risk mapping by fusion of spectrally-based information and digital geo- morphometric attributes. Int. J. Remote Sens., 23, 3795, 2002.
  • 8. TADDESE G. Land degradation: A challenge to Ethiopia. Environ. Manage., 27, 815, 2001.
  • 9. AMISSAH-ARTHUR A., MOUGENOT B., LOIREAU M. Assessing farmland dynamics and land degradation on Sahelian landscapes using remotely sensed and socioeconomic data. Int. J. Geogr. Inf. Sei. 14, 583, 2000.
  • 10. THIAM A.K. The causes and spatial pattern of land degradation risk in southern Mauritania using multitemporal AVHRR-NDVI imagery and field data. Land Degrad. Dev., 14, 133,2003.
  • 11. AL-DOUSARI A., MISAK R., SHAHID S. Soil compaction and sealing in Al Salmi area, western Kuwait. Land Degrad. Dev., 11,401, 2000.
  • 12. JOHNSON D.L., AMBROSE S.H., BASSETT T.J., BOWEN M.L., ISAACSON J.S., CRUMMEY D.E., JOHNSON D.N., LAMB P., SAUL A.M., WINTER-NELSON A.E. Meanings of environmental terms. J. Environ. Qual., 26, 81,1997.
  • 13. HUI W., XIAOLEI Z., CHANGGUI W., HUA F., FENG Z., JIZHOU R. Eco-environmental degradation in the northeastern margin of the Qinghai- Tibetan Plateau and comprehensive ecological protection planning. Environ. Geol., 55, 1135,2008.
  • 14. YANSUI L., JAY G., YANFENG Y. A holistic approach towards assessment of severity of land degradation along the great wall in northern Shaanxi Province, China. Environ. Monit. Assess., 82, 187, 2003.
  • 15. LIU L.Y. The Quantity and Intensity of Regional Aeolian Sand Erosion and Deposition: The Case of Contiguous Region of Shanxi-Shaanxi-Inner Mongolia. Acta Geograph. Sinica, 54, 59, 1999.
  • 16. DONG Y.X. Assessment of Hazard Degree and Analysis of Desertification Trend in Sandy China. J. Desert Res. 16, 127,1996.
  • 17. SYMEONAKIS E., DRAKE N. Monitoring desertification and land degradation over sub-Saharan Africa. Int. J. Remote Sens., 25, 573, 2004.
  • 18. WESSELS K.J., PRINCE S.D., FROST P.E., VAN ZYL D. Assessing the effects of human induced land degradation in the former homelands of northern South Africa with a 1 km AVHRR NDVI time-series. Remote Sens. Environ., 91, 47, 2004.
  • 19. VELAZQUEZ A., DURAN E., RAMIREZ I., MAS J.F., BOCCO G., RAMIREZ G., PALACIO J.L. Land use-cover change processes in highly biodiverse areas: the case of Oaxaca, Mexico. Glob. Environ. Chang., 13, 175, 2003.
  • 20. LAMBIN E.F., EHRLICH D. Land-cover changes in sub- Saharan Africa (1982-1991): Application of a change index based on remotely sensed surface temperature and vegetation indices at a continental scale. Remote Sens. Environ., 61, 181,1997.
  • 21. SUJATHA G., DWIVEDI R.S., SREENIVAS K., VENKATARATNAM L. Mapping and monitoring of degraded lands in part of Jaunpur district of Uttar Pradesh using temporal spaceborne multispectral data. Int. J. Remote Sens., 21, 519, 2000.
  • 22. PUREVDORJ R., TATELSHI T., ISHIYAMA Y. Relationships between percent vegetation cover and vegetation indices. Int. J. Remote Sens., 19, (18), 3519,1998.
  • 23. JABBAR M.T., SHI Z., WANG T., CAI C. Vegetation Change Prediction with Geo-information Techniques in the Three Gorges Area of China. Pedosphere 16, (4), 457,2006.
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