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EVALUATION OF RESOURCES CARRYING CAPACITY IN CHINA BASED ON REMOTE SENSING AND GIS
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| Zeitschriftentitel: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
|---|---|
| Personen und Körperschaften: | , , , , , |
| In: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-3, 2018, S. 1069-1072 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Copernicus GmbH
|
| Schlagwörter: |
| author_facet |
Liu, K. Gan, Y. H. Zhang, T. Luo, Z. Y. Wang, J. J. Lin, F. N. Liu, K. Gan, Y. H. Zhang, T. Luo, Z. Y. Wang, J. J. Lin, F. N. |
|---|---|
| author |
Liu, K. Gan, Y. H. Zhang, T. Luo, Z. Y. Wang, J. J. Lin, F. N. |
| spellingShingle |
Liu, K. Gan, Y. H. Zhang, T. Luo, Z. Y. Wang, J. J. Lin, F. N. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences EVALUATION OF RESOURCES CARRYING CAPACITY IN CHINA BASED ON REMOTE SENSING AND GIS General Earth and Planetary Sciences General Environmental Science |
| author_sort |
liu, k. |
| spelling |
Liu, K. Gan, Y. H. Zhang, T. Luo, Z. Y. Wang, J. J. Lin, F. N. 2194-9034 Copernicus GmbH General Earth and Planetary Sciences General Environmental Science http://dx.doi.org/10.5194/isprs-archives-xlii-3-1069-2018 <jats:p>Abstract. This paper accurately extracted the information of arable land, grassland (wetland), forest land, water area and construction land, based on 1 : 250000 basic geographic information data. It made model modification of comprehensive CCRR to achieve carrying capacity calculation taking resource quality into consideration. Ultimately it achieved a comprehensive assessment of CCRR status in China. The top ten cities where the status of carrying capacity of resources was overloaded were Wenzhou, Shanghai, Chengdu, Baoding, Shantou, Jieyang, Dongguan, Fuyang, Zhoukou and Handan. The cities were basically distributed in the central and southern areas with convenient transportation and more economically developed areas. Among the cities in surplus status, resources carrying capacity in Hulun Buir was the most abundant, followed by Heihe, Bayingolin Mongol Autonomous Prefecture, Qiqihar, Chifeng and Jiamusi, all of which were located in northeastern China with a small population and plentiful cultivated land. </jats:p> EVALUATION OF RESOURCES CARRYING CAPACITY IN CHINA BASED ON REMOTE SENSING AND GIS The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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| title |
EVALUATION OF RESOURCES CARRYING CAPACITY IN CHINA BASED ON REMOTE SENSING AND GIS |
| title_unstemmed |
EVALUATION OF RESOURCES CARRYING CAPACITY IN CHINA BASED ON REMOTE SENSING AND GIS |
| title_full |
EVALUATION OF RESOURCES CARRYING CAPACITY IN CHINA BASED ON REMOTE SENSING AND GIS |
| title_fullStr |
EVALUATION OF RESOURCES CARRYING CAPACITY IN CHINA BASED ON REMOTE SENSING AND GIS |
| title_full_unstemmed |
EVALUATION OF RESOURCES CARRYING CAPACITY IN CHINA BASED ON REMOTE SENSING AND GIS |
| title_short |
EVALUATION OF RESOURCES CARRYING CAPACITY IN CHINA BASED ON REMOTE SENSING AND GIS |
| title_sort |
evaluation of resources carrying capacity in china based on remote sensing and gis |
| topic |
General Earth and Planetary Sciences General Environmental Science |
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http://dx.doi.org/10.5194/isprs-archives-xlii-3-1069-2018 |
| publishDate |
2018 |
| physical |
1069-1072 |
| description |
<jats:p>Abstract. This paper accurately extracted the information of arable land, grassland (wetland), forest land, water area and construction land, based on 1 : 250000 basic geographic information data. It made model modification of comprehensive CCRR to achieve carrying capacity calculation taking resource quality into consideration. Ultimately it achieved a comprehensive assessment of CCRR status in China. The top ten cities where the status of carrying capacity of resources was overloaded were Wenzhou, Shanghai, Chengdu, Baoding, Shantou, Jieyang, Dongguan, Fuyang, Zhoukou and Handan. The cities were basically distributed in the central and southern areas with convenient transportation and more economically developed areas. Among the cities in surplus status, resources carrying capacity in Hulun Buir was the most abundant, followed by Heihe, Bayingolin Mongol Autonomous Prefecture, Qiqihar, Chifeng and Jiamusi, all of which were located in northeastern China with a small population and plentiful cultivated land.
</jats:p> |
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| author | Liu, K., Gan, Y. H., Zhang, T., Luo, Z. Y., Wang, J. J., Lin, F. N. |
| author_facet | Liu, K., Gan, Y. H., Zhang, T., Luo, Z. Y., Wang, J. J., Lin, F. N., Liu, K., Gan, Y. H., Zhang, T., Luo, Z. Y., Wang, J. J., Lin, F. N. |
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| description | <jats:p>Abstract. This paper accurately extracted the information of arable land, grassland (wetland), forest land, water area and construction land, based on 1 : 250000 basic geographic information data. It made model modification of comprehensive CCRR to achieve carrying capacity calculation taking resource quality into consideration. Ultimately it achieved a comprehensive assessment of CCRR status in China. The top ten cities where the status of carrying capacity of resources was overloaded were Wenzhou, Shanghai, Chengdu, Baoding, Shantou, Jieyang, Dongguan, Fuyang, Zhoukou and Handan. The cities were basically distributed in the central and southern areas with convenient transportation and more economically developed areas. Among the cities in surplus status, resources carrying capacity in Hulun Buir was the most abundant, followed by Heihe, Bayingolin Mongol Autonomous Prefecture, Qiqihar, Chifeng and Jiamusi, all of which were located in northeastern China with a small population and plentiful cultivated land. </jats:p> |
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| spelling | Liu, K. Gan, Y. H. Zhang, T. Luo, Z. Y. Wang, J. J. Lin, F. N. 2194-9034 Copernicus GmbH General Earth and Planetary Sciences General Environmental Science http://dx.doi.org/10.5194/isprs-archives-xlii-3-1069-2018 <jats:p>Abstract. This paper accurately extracted the information of arable land, grassland (wetland), forest land, water area and construction land, based on 1 : 250000 basic geographic information data. It made model modification of comprehensive CCRR to achieve carrying capacity calculation taking resource quality into consideration. Ultimately it achieved a comprehensive assessment of CCRR status in China. The top ten cities where the status of carrying capacity of resources was overloaded were Wenzhou, Shanghai, Chengdu, Baoding, Shantou, Jieyang, Dongguan, Fuyang, Zhoukou and Handan. The cities were basically distributed in the central and southern areas with convenient transportation and more economically developed areas. Among the cities in surplus status, resources carrying capacity in Hulun Buir was the most abundant, followed by Heihe, Bayingolin Mongol Autonomous Prefecture, Qiqihar, Chifeng and Jiamusi, all of which were located in northeastern China with a small population and plentiful cultivated land. </jats:p> EVALUATION OF RESOURCES CARRYING CAPACITY IN CHINA BASED ON REMOTE SENSING AND GIS The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spellingShingle | Liu, K., Gan, Y. H., Zhang, T., Luo, Z. Y., Wang, J. J., Lin, F. N., The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, EVALUATION OF RESOURCES CARRYING CAPACITY IN CHINA BASED ON REMOTE SENSING AND GIS, General Earth and Planetary Sciences, General Environmental Science |
| title | EVALUATION OF RESOURCES CARRYING CAPACITY IN CHINA BASED ON REMOTE SENSING AND GIS |
| title_full | EVALUATION OF RESOURCES CARRYING CAPACITY IN CHINA BASED ON REMOTE SENSING AND GIS |
| title_fullStr | EVALUATION OF RESOURCES CARRYING CAPACITY IN CHINA BASED ON REMOTE SENSING AND GIS |
| title_full_unstemmed | EVALUATION OF RESOURCES CARRYING CAPACITY IN CHINA BASED ON REMOTE SENSING AND GIS |
| title_short | EVALUATION OF RESOURCES CARRYING CAPACITY IN CHINA BASED ON REMOTE SENSING AND GIS |
| title_sort | evaluation of resources carrying capacity in china based on remote sensing and gis |
| title_unstemmed | EVALUATION OF RESOURCES CARRYING CAPACITY IN CHINA BASED ON REMOTE SENSING AND GIS |
| topic | General Earth and Planetary Sciences, General Environmental Science |
| url | http://dx.doi.org/10.5194/isprs-archives-xlii-3-1069-2018 |