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[1]ZHANG Pan,MA Xiaoyi,ZHAO Long,et al.Classification of Land Use in Guanzhong Area Based on Different Vegetation Indexes Time Series and CART[J].Research of Soil and Water Conservation,2018,25(03):310-316.

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Classification of Land Use in Guanzhong Area Based on Different Vegetation Indexes Time Series and CART

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 25 Number of periods: 2018 03 Page number: 310-316 Column: Public date: 2018-04-10

Title:: Classification of Land Use in Guanzhong Area Based on Different Vegetation Indexes Time Series and CART

Author(s):: ZHANG Pan¹, MA Xiaoyi¹, ZHAO Long², XING Xuguang¹; 1. College of Water Resource and Agricultural Engineering, Northwest A & F University, Yangling, Shaanxi 712100, China;
2. College of Mechanical and Electronic Engineering, Northwest A & F University, Yangling, Shaanxi 712100, China

Keywords:: land use classification; MODIS data; vegetation index; time series; CART

CLC:: S127;TP79

DOI:: -

Abstract:: To obtain the land use information accurately in time could provide important basis for management of land resources and the protection of the ecological environment. In order to obtain the land use information in Guanzhong area, and compare classification precision based on different vegetation indexes, based on 33-phase MOD13Q1 data from October 1, 2014 to March 15, 2016, firstly, normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) time series were reconstructed with the Savitzky-Golay filtering method and combined into NDVI+EVI and EVI+NDVI time series; secondly, Classification and Regression Tree was built upon the clustering results of Iterative Selforganizing Data Analysis Techniques Algorithm to classify different land use types in four vegetation indexes cases, finally, the classification results were assessed by the confusion matrix and statistical data in terms of spatial and quantitative accuracy. The results show that:(1) the total classification accuracy and Kappa coefficient were over 96% and 0.94, respectively, in four cases; (2) the precision of classification and agricultural land extraction based on different vegetation indexes appeared to meet the order:EVI+NDVI > NDVI+EVI > EVI > NDVI. This study indicates that:(1) the method in this paper could be used in classification of land use in Guanzhong area; (2) the ability of EVI to recognize agricultural land is better than that of NDVI; (3) decision tree is more accurate due to more classification information based on the combined vegetation indexes.

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