TY - GEN
T1 - Assessment of the ecological carrying capacity based on high resolution data
T2 - 4th International Workshop on Earth Observation and Remote Sensing Applications, EORSA 2016
AU - Xu, Kailei
AU - Tan, Kun
AU - Du, Peijun
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/25
Y1 - 2016/8/25
N2 - Evaluation of ecological carrying capacity has a great significance on ecosystem health and sustainable development. The sustainable development of ecological environment has become one of the most prominent issues in China. The high resolution data include GF1, ZY1-02C and ZY3 were obtained from China Center for Resources Satellite Data and Application. We resampled these data to 5m due to the different spatial resolution. It was applied Normalized Difference Water Index (NDWI) to extract the water of the mining area and Normalized Difference Vegetation Index (NDVI) to analyze the vegetation coverage, which can provide indicators for the next processing and analysis. The results of classification were used as basic evaluation factors to establish the evaluation index system of ecological environment. Through the comprehensive analysis and investigation of the ecological environment in the mining area of Yuxian, a novel evaluation index of the ecological carrying capacity was presented with the aspects of biological abundance index, vegetation coverage index, water density index and natural geographical factors etc. With the comprehensive assessment model, the values of ecological carrying capacity of Yuxian from 2013 to 2015 were calculated. The values of ecological carrying capacity were 70.77, 67.22, and 69.92 (total score: 100) during the period of 2013-2015. In addition, the per capita ecological carrying capacity based on the balance factor and the yield factor of Hebei province was also calculated by the method of ecological footprint. The results showed that the ecological condition was not optimistic and mining activities had some influences on the stability of ecosystem.
AB - Evaluation of ecological carrying capacity has a great significance on ecosystem health and sustainable development. The sustainable development of ecological environment has become one of the most prominent issues in China. The high resolution data include GF1, ZY1-02C and ZY3 were obtained from China Center for Resources Satellite Data and Application. We resampled these data to 5m due to the different spatial resolution. It was applied Normalized Difference Water Index (NDWI) to extract the water of the mining area and Normalized Difference Vegetation Index (NDVI) to analyze the vegetation coverage, which can provide indicators for the next processing and analysis. The results of classification were used as basic evaluation factors to establish the evaluation index system of ecological environment. Through the comprehensive analysis and investigation of the ecological environment in the mining area of Yuxian, a novel evaluation index of the ecological carrying capacity was presented with the aspects of biological abundance index, vegetation coverage index, water density index and natural geographical factors etc. With the comprehensive assessment model, the values of ecological carrying capacity of Yuxian from 2013 to 2015 were calculated. The values of ecological carrying capacity were 70.77, 67.22, and 69.92 (total score: 100) during the period of 2013-2015. In addition, the per capita ecological carrying capacity based on the balance factor and the yield factor of Hebei province was also calculated by the method of ecological footprint. The results showed that the ecological condition was not optimistic and mining activities had some influences on the stability of ecosystem.
KW - Analytic Hierarchy Process (AHP)
KW - Yuxian
KW - ecological carrying capacity
KW - ecological footprint
KW - high revolution data
UR - https://www.scopus.com/pages/publications/84988014589
U2 - 10.1109/EORSA.2016.7552839
DO - 10.1109/EORSA.2016.7552839
M3 - 会议稿件
AN - SCOPUS:84988014589
T3 - 4th International Workshop on Earth Observation and Remote Sensing Applications, EORSA 2016 - Proceedings
SP - 405
EP - 409
BT - 4th International Workshop on Earth Observation and Remote Sensing Applications, EORSA 2016 - Proceedings
A2 - Gamba, Paolo
A2 - Xian, George
A2 - Liang, Shunlin
A2 - Weng, Qihao
A2 - Chen, Jing Ming
A2 - Liang, Shunlin
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 4 July 2016 through 6 July 2016
ER -