Methods to Extract Rural Construction Land in the Northeast ChinaBased on GF-2 Remote Sensing Data

doi:10.14088/j.cnki.issn0439-8114.2018.20.031

Abstract

Abstract: The rural planning and land consolidation rely on the accurate information of rural construction land. To accurately measure the existing rural construct land area, two villages which in Changchun area and Songyuan area of Jilin province with different phases were selected as typical study areas. GF-2 remote sensing images were used as data source to study on the method of extracting rural construction land by direct extraction and indirect extraction respectively. The experimental results showed that GF-2 high-resolution remote sensing images can be used to identify the construction land inside of village accurately. SVM supervised classification, the best way of the direct extraction methods, is used in accurate extraction. The indirect extraction based on NDVI combined with NDBBI is a good fit for rapid estimation of village construction land area.

Key words: rural construction land, remote sensing image, supervised classification, NDVI, NDBBI

CLC Number:

TP751.1文章编号：0439-8114（2018）20-0132-06

LIANG Shu-wei, WANG Jian-guo, WEN Xin-ran, CHEN Sheng-bo. Methods to Extract Rural Construction Land in the Northeast ChinaBased on GF-2 Remote Sensing Data[J]. HUBEI AGRICULTURAL SCIENCES, 2018, 57(20): 132-137.

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