Summer Maize Planting Area Estimation Based on Multi Source Data and Decision Tree

doi:10.3969/j.issn.1000-6362.2014.03.017

Chinese Journal of Agrometeorology ›› 2014, Vol. 35 ›› Issue (03): 344-348.doi: 10.3969/j.issn.1000-6362.2014.03.017

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Summer Maize Planting Area Estimation Based on Multi Source Data and Decision Tree

LI Ying,LIU Rong hua,ZHENG Dong dong

1Henan Key Laboratory of Agro meteorological Support and Applied Technique,CMA/Henan Institute of Meteorological Sciences,Zhengzhou 450003,China;2College of Water Conservancy & Environmental Engineering，Zhengzhou University，Zhengzhou450001

Received:2013-11-08 Online:2014-06-20 Published:2015-02-11

Abstract

Abstract: In order to overcome mixed pixels in planting area estimation using low spatial resolution remote sensing data,the method of summer maize planting area estimation based on multi source data and decision tree was proposed.The method used both time series features of FY-3/MERSI and spectral features of TM.The rules of decision tree were established according to local phenological calendar in farmland.Then,MERSI data and TM data were merged and the thresholds of decision tree rules were determined through spectral feature analysis of fused NDVI data to extract summer maize planting informationAccording to agriculture statistics,the accuracy by the proposed approach was 95.1%,and based on the field survey data,the accuracy was 81.0%.The proposed approach can provide reference for crop planting area extraction in large area.

Key words: MERSI, Multi temporal, Threshold value, Spectral features, Normalized difference vegetation index（NDVI）

LI Ying,LIU Rong hua,ZHENG Dong dong. Summer Maize Planting Area Estimation Based on Multi Source Data and Decision Tree[J]. Chinese Journal of Agrometeorology, 2014, 35(03): 344-348.

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Summer Maize Planting Area Estimation Based on Multi Source Data and Decision Tree

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