Open AccessIntelligently Extracting and Analysing High-Resolution Remote Sensing Images for Demolition and Reclamation Land Assessment in Population Relocation for Poverty Alleviation
Author(s) -
Yaqing Bai,
Guojin He,
Haochuan Li,
Guizhou Wang,
Dengji Zhou
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/502/1/012048
Subject(s) - relocation , land reclamation , poverty , population , china , business , demolition , remote sensing , environmental planning , geography , environmental resource management , economic growth , environmental science , computer science , economics , archaeology , programming language , demography , sociology
In recent years, China has witnessed a rapid development in the field of high-resolution satellite data acquisition. These remote sensing images obtained from satellites have been extensively applied in the social and economic sectors. Population relocation for poverty alleviation is a key task during the implementation of the 13 th Five-Year Plan, involving 1,400 counties in 22 provinces in China. This study focuses on the utilisation of high-resolution remote sensing data and data of the national relocation information system to intelligently analyse changes in demolished and reclaimed lands in the selected area. The area is a county in Shandong Province, and according to the data from the national relocation information system, it constitutes 12 centralised resettlement sites hosting 2,510 families comprising 7,708 people, all classified as poverty-stricken households by the state. This method is suitable for the relocation of the entire village areas rather than the scattered relocation of individual households. It also provides an effective support for the local government to save and intensively use land resources, thereby avoiding waste of land resources and construction funds.