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Position: Home > Articles > Land Cover Classification in Loess Hilly and Gully Region Using Multi-temporal MODIS-NDVI Data Research of Soil and Water Conservation 2011,18 (2) 112-115+120

基于MODIS-NDVI时序数据的黄土丘陵区土地覆盖分类研究

作  者:
陆广勇;杨勤科;王海江
单  位:
西北大学;中国科学院水利部水土保持研究所
关键词:
植被指数;时间序列;决策树;ISODATA;土地覆盖分类
摘  要:
为了获取年际土地覆盖基础数据以支持区域土壤侵蚀定量评价,探讨了采用基于时间序列谐波分析法(HA-NTS)对延河流域2006年MODIS-NDVI时间序列进行滤波;参考当地年植被变化特征,根据土地覆盖类型的NDVI时序曲线特征,选择定量化的分类特征,进行决策树分类,并以此为基础建立各个决策树类别掩膜;基于MODIS-NDVI和MOD09GA,在各个掩膜区内进行非监督分类,结合坡度图调整分类结果,形成延河流域土地覆盖类型图。结果表明:与2006年TM分类结果的总体一致性为75%,Kappa系数为0.620 9,影像分类结果可靠,分类方法现实可行。
译  名:
Land Cover Classification in Loess Hilly and Gully Region Using Multi-temporal MODIS-NDVI Data
作  者:
LU Guang-yong1,YANG Qin-ke2,1,WANG Hai-jiang1(1.Institute of Soil and Water Conservation,Chinese Academy of Sciences and Ministry of Water Resources,Yangling,Shaanxi 712100,China;2.Northwest University,Xi'an 710069,China)
关键词:
vegetation index;time-series;decision tree;ISODATA;land cover classification
摘  要:
The temporal features of various land objects were studied based on the MOD13Q1,and built the decision tree model for the land cover classification of Yanhe basin by filtering the MODIS-NDVI time-series data of 2006 in the area via the HNATS(Harmonic Analysis of Time Series) algorithm;analyzing the temporal curve features of NDVI,and selecting the rational quantitative classification features for the decision tree model,building masks for each land cover,and performing the unsupervised classifications in the masks based on the data of MODIS-NDVI or MOD09GA,modifying the results via slope data.The results showed the overall accuracy of the final land cover map was 75.00%,and the kappa coefficient was 0.620 9.It is suggested that applying the temporal features in classification model and integrating decision tree with ISODATA for the land cover classification are feasible and promising.

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