THE DRIVING FORCES OF LAND USE/COVER CHANGE INTHE UPSTREAM AREA OF THE NENJIANG RIVER

YE Bao-ying; HUANG Fang; ZHANG Shu-wen; ZHANG Yang-zhen

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THE DRIVING FORCES OF LAND USE/COVER CHANGE INTHE UPSTREAM AREA OF THE NENJIANG RIVER

YE Bao-ying, HUANG Fang, ZHANG Shu-wen, ZHANG Yang-zhen

文章导航 > Chinese Geographical Science > 2001 > 11(4): 377-381

YE Bao-ying, HUANG Fang, ZHANG Shu-wen, ZHANG Yang-zhen. THE DRIVING FORCES OF LAND USE/COVER CHANGE INTHE UPSTREAM AREA OF THE NENJIANG RIVER[J]. 中国地理科学, 2001, 11(4): 377-381.

引用本文:

YE Bao-ying, HUANG Fang, ZHANG Shu-wen, ZHANG Yang-zhen. THE DRIVING FORCES OF LAND USE/COVER CHANGE INTHE UPSTREAM AREA OF THE NENJIANG RIVER[J]. 中国地理科学, 2001, 11(4): 377-381.

YE Bao-ying, HUANG Fang, ZHANG Shu-wen, ZHANG Yang-zhen. THE DRIVING FORCES OF LAND USE/COVER CHANGE INTHE UPSTREAM AREA OF THE NENJIANG RIVER[J]. Chinese Geographical Science, 2001, 11(4): 377-381.

Citation:

YE Bao-ying, HUANG Fang, ZHANG Shu-wen, ZHANG Yang-zhen. THE DRIVING FORCES OF LAND USE/COVER CHANGE INTHE UPSTREAM AREA OF THE NENJIANG RIVER[J]. Chinese Geographical Science, 2001, 11(4): 377-381.

THE DRIVING FORCES OF LAND USE/COVER CHANGE INTHE UPSTREAM AREA OF THE NENJIANG RIVER

1.
Changchun Institute of Geography, the Chinese Academy of Sciences, Changchun 130021, P. R. China;
2.
College of Urban and Environmental Sciences, Northeast Normal University, Changchun 150024, P. R. China

基金项目: Under the auspices of the Key Knowledge-Innovation Project of the Chinese Academy of the Science(KZCX1-Y-02) and the project of National Ninth Five-year Plan(96-B02-01).

详细信息

作者简介:
YE Bao-ying(1972- ), male, a native of Tianjin, Ph. D. candidate of Changchun Institute of Geography, the Chinese Acadenry of Sciences. His research interests include application of remote sensing and GIS.

中图分类号: F301.24

THE DRIVING FORCES OF LAND USE/COVER CHANGE INTHE UPSTREAM AREA OF THE NENJIANG RIVER

1.
Changchun Institute of Geography, the Chinese Academy of Sciences, Changchun 130021, P. R. China;
2.
College of Urban and Environmental Sciences, Northeast Normal University, Changchun 150024, P. R. China

摘要: Based on the Landsat and Landsat 7 TM images, the land use/cover change was detected in the up stream area of the Nenjiang River between 199 and 2000. With the spatial analysis techniques of GIS, the maps of land use degree and its change within this period were produced. To identify the causes of changes, elevation and slope were regarded as the main natural influencing factors and were transformed from coverage format to grid format within GIS. The Thiesson polygon method was used to the spatial allocation of socio-economic factors including human population, live stock numbers, mechanizing power of farming and the nearest distance from the changed pixel to the trunk stream and to main settlements, thereby the spatial relationship between land use degree change and socio-economic factor variation was analyzed. According to results of the spatial correlation, the determinants of changes in land use/cover, i.e. eleva tion, slope, population density change, livestock increase were extracted quantitatively in this area. At last, the spatial multi-linear regression model of land use degree change was developed as follows: △La = 11.037-4.12 * elevation-0.298 * slope + 0.292 * △population + 2.96 * △livestock.
- the upstream area of the Nenjiang River /
- land use degree change /
- Thiesson polygon method /
- drivingforces
Abstract: Based on the Landsat and Landsat 7 TM images, the land use/cover change was detected in the up stream area of the Nenjiang River between 199 and 2000. With the spatial analysis techniques of GIS, the maps of land use degree and its change within this period were produced. To identify the causes of changes, elevation and slope were regarded as the main natural influencing factors and were transformed from coverage format to grid format within GIS. The Thiesson polygon method was used to the spatial allocation of socio-economic factors including human population, live stock numbers, mechanizing power of farming and the nearest distance from the changed pixel to the trunk stream and to main settlements, thereby the spatial relationship between land use degree change and socio-economic factor variation was analyzed. According to results of the spatial correlation, the determinants of changes in land use/cover, i.e. eleva tion, slope, population density change, livestock increase were extracted quantitatively in this area. At last, the spatial multi-linear regression model of land use degree change was developed as follows: △La = 11.037-4.12 * elevation-0.298 * slope + 0.292 * △population + 2.96 * △livestock.
- the upstream area of the Nenjiang River /
- land use degree change /
- Thiesson polygon method /
- drivingforces

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THE DRIVING FORCES OF LAND USE/COVER CHANGE INTHE UPSTREAM AREA OF THE NENJIANG RIVER

1. Changchun Institute of Geography, the Chinese Academy of Sciences, Changchun 130021, P. R. China;

2. College of Urban and Environmental Sciences, Northeast Normal University, Changchun 150024, P. R. China

基金项目: Under the auspices of the Key Knowledge-Innovation Project of the Chinese Academy of the Science(KZCX1-Y-02) and the project of National Ninth Five-year Plan(96-B02-01).

作者简介:
YE Bao-ying(1972- ), male, a native of Tianjin, Ph. D. candidate of Changchun Institute of Geography, the Chinese Acadenry of Sciences. His research interests include application of remote sensing and GIS.

收稿日期: 2001-07-17
刊出日期: 2001-12-20

中图分类号: F301.24

关键词:

the upstream area of the Nenjiang River /

land use degree change /

Thiesson polygon method /

drivingforces

摘要: Based on the Landsat and Landsat 7 TM images, the land use/cover change was detected in the up stream area of the Nenjiang River between 199 and 2000. With the spatial analysis techniques of GIS, the maps of land use degree and its change within this period were produced. To identify the causes of changes, elevation and slope were regarded as the main natural influencing factors and were transformed from coverage format to grid format within GIS. The Thiesson polygon method was used to the spatial allocation of socio-economic factors including human population, live stock numbers, mechanizing power of farming and the nearest distance from the changed pixel to the trunk stream and to main settlements, thereby the spatial relationship between land use degree change and socio-economic factor variation was analyzed. According to results of the spatial correlation, the determinants of changes in land use/cover, i.e. eleva tion, slope, population density change, livestock increase were extracted quantitatively in this area. At last, the spatial multi-linear regression model of land use degree change was developed as follows: △La = 11.037-4.12 * elevation-0.298 * slope + 0.292 * △population + 2.96 * △livestock.

English Abstract

THE DRIVING FORCES OF LAND USE/COVER CHANGE INTHE UPSTREAM AREA OF THE NENJIANG RIVER

1. Changchun Institute of Geography, the Chinese Academy of Sciences, Changchun 130021, P. R. China;

2. College of Urban and Environmental Sciences, Northeast Normal University, Changchun 150024, P. R. China

Received Date: 2001-07-17
Publish Date: 2001-12-20

Keywords:

the upstream area of the Nenjiang River /
land use degree change /
Thiesson polygon method /
drivingforces

Abstract: Based on the Landsat and Landsat 7 TM images, the land use/cover change was detected in the up stream area of the Nenjiang River between 199 and 2000. With the spatial analysis techniques of GIS, the maps of land use degree and its change within this period were produced. To identify the causes of changes, elevation and slope were regarded as the main natural influencing factors and were transformed from coverage format to grid format within GIS. The Thiesson polygon method was used to the spatial allocation of socio-economic factors including human population, live stock numbers, mechanizing power of farming and the nearest distance from the changed pixel to the trunk stream and to main settlements, thereby the spatial relationship between land use degree change and socio-economic factor variation was analyzed. According to results of the spatial correlation, the determinants of changes in land use/cover, i.e. eleva tion, slope, population density change, livestock increase were extracted quantitatively in this area. At last, the spatial multi-linear regression model of land use degree change was developed as follows: △La = 11.037-4.12 * elevation-0.298 * slope + 0.292 * △population + 2.96 * △livestock.

YE Bao-ying, HUANG Fang, ZHANG Shu-wen, ZHANG Yang-zhen. THE DRIVING FORCES OF LAND USE/COVER CHANGE INTHE UPSTREAM AREA OF THE NENJIANG RIVER[J]. 中国地理科学, 2001, 11(4): 377-381.

引用本文:

YE Bao-ying, HUANG Fang, ZHANG Shu-wen, ZHANG Yang-zhen. THE DRIVING FORCES OF LAND USE/COVER CHANGE INTHE UPSTREAM AREA OF THE NENJIANG RIVER[J]. 中国地理科学, 2001, 11(4): 377-381.

YE Bao-ying, HUANG Fang, ZHANG Shu-wen, ZHANG Yang-zhen. THE DRIVING FORCES OF LAND USE/COVER CHANGE INTHE UPSTREAM AREA OF THE NENJIANG RIVER[J]. Chinese Geographical Science, 2001, 11(4): 377-381.

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THE DRIVING FORCES OF LAND USE/COVER CHANGE INTHE UPSTREAM AREA OF THE NENJIANG RIVER

作者简介: YE Bao-ying(1972- ), male, a native of Tianjin, Ph. D. candidate of Changchun Institute of Geography, the Chinese Acadenry of Sciences. His research interests include application of remote sensing and GIS.

THE DRIVING FORCES OF LAND USE/COVER CHANGE INTHE UPSTREAM AREA OF THE NENJIANG RIVER

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THE DRIVING FORCES OF LAND USE/COVER CHANGE INTHE UPSTREAM AREA OF THE NENJIANG RIVER

1. Changchun Institute of Geography, the Chinese Academy of Sciences, Changchun 130021, P. R. China; 2. College of Urban and Environmental Sciences, Northeast Normal University, Changchun 150024, P. R. China

作者简介: YE Bao-ying(1972- ), male, a native of Tianjin, Ph. D. candidate of Changchun Institute of Geography, the Chinese Acadenry of Sciences. His research interests include application of remote sensing and GIS.

English Abstract

THE DRIVING FORCES OF LAND USE/COVER CHANGE INTHE UPSTREAM AREA OF THE NENJIANG RIVER

1. Changchun Institute of Geography, the Chinese Academy of Sciences, Changchun 130021, P. R. China; 2. College of Urban and Environmental Sciences, Northeast Normal University, Changchun 150024, P. R. China

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作者简介:
YE Bao-ying(1972- ), male, a native of Tianjin, Ph. D. candidate of Changchun Institute of Geography, the Chinese Acadenry of Sciences. His research interests include application of remote sensing and GIS.

1. Changchun Institute of Geography, the Chinese Academy of Sciences, Changchun 130021, P. R. China;

2. College of Urban and Environmental Sciences, Northeast Normal University, Changchun 150024, P. R. China

作者简介:
YE Bao-ying(1972- ), male, a native of Tianjin, Ph. D. candidate of Changchun Institute of Geography, the Chinese Acadenry of Sciences. His research interests include application of remote sensing and GIS.

1. Changchun Institute of Geography, the Chinese Academy of Sciences, Changchun 130021, P. R. China;

2. College of Urban and Environmental Sciences, Northeast Normal University, Changchun 150024, P. R. China