NDLI: Extraction of saline land based on decision tree approach using Landsat TM DATA

Content Provider	IEEE Xplore Digital Library
Author	Yueru Wu Weizhen Wang Jinxin Zhuang Chunfeng Ma Suhua Liu Lizong Wu
Copyright Year	2013
Description	Author affiliation: Cold & Arid Regions Environ. & Eng. Res. Inst., Lanzhou, China (Yueru Wu; Weizhen Wang; Jinxin Zhuang; Chunfeng Ma; Suhua Liu; Lizong Wu)
Abstract	The dynamic monitoring and mapping of soil salinization is a practical significance work at present. In this paper, the middle reaches of Heihe River, China, was taken as a study case to discuss the effectiveness of extracting saline land information applying decision tree approach, based on Landsat TM data acquired on Sep.23, 2007. Through visual interpretation and statistical analysis of spectral characteristic associated with field survey and Google Earth image with higher resolution, finally five feature variables: thermal infrared band (TM6), Normalized Difference Vegetation Index (NDVI), Modified Normalized Difference Water Index (MNDWI), the third component of MNF rotation (MNF3) and the wetness of K-T transformation (TC3) were selected to construct decision tree model by setting the proper threshold values. The research suggested that MNF3 is an optimal band to discriminate saline land from other object-grounds on condition of MNF<;-1. The water body and vegetation district can be extracted by NDVI and MNDWI, respectively. Combining MNF3, TC3 and TM6 can well obtain sandy land and farmland information. The overall accuracy of classification results achieves 85.34% and Kappa Coefficient is 0.795, both of which show the effectiveness and feasibility of decision tree approach for monitoring and mapping spatial distribution of soil salinization.
Sponsorship	IEEE Geosci. Remote Sens. Soc.
Starting Page	3762
Ending Page	3765
File Size	280617
Page Count	4
File Format	PDF
ISBN	9781479911141
ISSN	21536996
DOI	10.1109/IGARSS.2013.6723649
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-21
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision trees Remote sensing Earth Satellites Soil Vegetation mapping Accuracy Soil salinization Decision tree NDVI MNDWI MNF K-T transformation
Content Type	Text
Resource Type	Article

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