Multiple Cropping Index from Spot NDVI Time Series Using Wavelet Transform
Multiple Cropping Index(MCI) is directly related to food security and the utilization efficiency of cultivated land.SPOT VGT NDVI time series data sets are not non-stationary and present short-term,seasonal and long-term variations.MCI from SPOT VGT NDVI in 2007 using Wavelet Transform (WT) has been implemented.Applying Wavelet Transform to denoise the multi-temporal remote sensing data,we can easily judge cropping pattern by smoothed NDVI values.At the same time,four mother wavelets have been compared and COIFLET has a better result.The study has proved the wavelet transform is an effective denoising tool for time series data.The MCI of the study area has a good consistency with the existed studies.
Multiple Cropping Index (MCI) Wavelet Transform (WT) SPOT VGT Huang-Huai-Hai Plain
TANG Pengqin YAO Yanmin WU Wenbin YANG Peng CHEN Youqi
The Lab of Resources Remote Sensing and Digital Agriculture,Ministry of Agriculture,Beijing 100081,P.R.China;Institute of Agricultural Resources and Regional Planning,Chinese Academy of Agricultural Sciences,Beijing 100081,P.R.China
国际会议
Woekshop on Agricultural Land Use and its Effect in APEC Member Economies(APEC地区农业土地利用及其影响国际研讨会)
北京
英文
100-108
2009-10-19（万方平台首次上网日期，不代表论文的发表时间）