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[1]LU Guang-yong,YANG Qin-ke,WANG Hai-jiang.Land Cover Classification in Loess Hilly and Gully Region Using Multi-temporal MODIS-NDVI Data[J].Research of Soil and Water Conservation,2011,18(02):112-115,120.

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Land Cover Classification in Loess Hilly and Gully Region Using Multi-temporal MODIS-NDVI Data

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 18 Number of periods: 2011 02 Page number: 112-115,120 Column: Public date: 2011-04-20

Title:: Land Cover Classification in Loess Hilly and Gully Region Using Multi-temporal MODIS-NDVI Data

Author(s):: LU Guang-yong¹, YANG Qin-ke^2,1, 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

Keywords:: vegetation index; time-series; decision tree; ISODATA; land cover classification

CLC:: P931.1;TP79

DOI:: -

Abstract:: 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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