Crop classification using MODIS NDVI data denoised by wavelet: A case study in Hebei Plain, China |
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| Authors: | Shengwei Zhang Yuping Lei Liping Wang Hongjun Li Hongbin Zhao |
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| Affiliation: | ZHANG Shengwei1,2,LEI Yuping2,WANG Liping1,LI Hongjun2,ZHAO Hongbin1 (1. Inner Mongolia Agricultural University,Hohhot 010018,China,2. Center for Agricultural Resources Research,Institute of Genetics and Developmental Biology,Chinese Academy of Sciences,Shijiazhuang 050021,China) |
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| Abstract: | Time-series Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) data have been widely used for large area crop mapping.However,the temporal crop signatures generated from these data were always accompanied by noise.In this study,a denoising method combined with Time series Inverse Distance Weighted (T-IDW) interpolating and Discrete Wavelet Transform (DWT) was presented.The detail crop planting patterns in Hebei Plain,China were classified using denoised time-... |
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| Keywords: | remote sensing imagery Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Differ- ence Vegetation Index (NDVI) noise reduction crop land classification |
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