论文信息 - Spatial-Temporal Variation of Lucc in Zhoushan From 1985 to 2015 Using Remote Sensing Images

Spatial-Temporal Variation of Lucc in Zhoushan From 1985 to 2015 Using Remote Sensing Images

Land use/land cover change (LUCC) is the most direct manifestation of the interaction between human activities and the natural environment, which is of great significance to regional development, environmental change, and resource bearing capacity. As the first prefecture-level city in China that established by islands, the spatial-temporal variation of LUCC in Zhoushan City was analyzed by classification of Landsat images from 1985 to 2015. The results showed that: (1) Construction land expanded rapidly along the coastal plains, the area increased about 5 times mainly by developing cropland and reclaiming land from sea and tidal flat; (2) By reclaiming land from sea, there are different degrees of expansion along the coastline of various islands, 37.99 km2 new land was obtained and nearly half of the land has been developed into construction land. (3) The area of cropland decreased significantly due to the occupation of construction land while the forest is well protected which has increased slightly in area.

Chao Chen | Xu Lu | Jiaoqi Fu

[1] Tong Qing. High-Rank Artificial Neural Network Algorithm for Classification of Hyperspectral Image Data , 2000 .

[2] Du Pei. HYPERSPECTRAL REMOTE SENSING IMAGE CLASSIFICATION BASED ON SUPPORT VECTOR MACHINE , 2008 .

[3] Hui Feng,et al. Object-oriented Image Classification Analysis and Evaluation , 2004 .

[4] Liu Xiao-hu. The Application of Remote Sensing Technology in Land Use Dynamic Monitoring , 2013 .

[5] Yun Zhang,et al. Change detection for high-resolution remote sensing imagery using object-oriented change vector analysis method , 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

[6] Xiaorong Yang,et al. Classification Methods of Remote Sensing Image Based on Decision Tree Technologies , 2010, CCTA.

[7] Li Shuang. The Comparative Study of Remote Sensing Image Classification , 2002 .

[8] Jing Li,et al. Monitoring and analysis of land use change in Xiamen Harbor area based on multi-source remote sensing images , 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

[9] Zhang Xian. New approach to land use dynamic monitoring using remote sensing and GPS and GIS technologies , 1999 .

[10] Wu Zhou,et al. Monitoring of Inefficient Land Use with High Resolution Remote Sensing Image in a Chinese Mega-City , 2017, 22017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC).