New method for extracting multiple cropping index of North China Plain based on wavelet transform

被引：0
|
作者：
Tang P. [1 ]
Wu W. [1 ]
Yao Y. [1 ]
Yang P. [1 ]
机构：
[1] Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences
来源：
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | 2011年 / 27卷 / 07期
关键词：
De-noise; Multiple cropping index; Normalized difference vegetation index; Remote sensing; Time-series analysis; Wavelet transforms;
D O I：
10.3969/j.issn.1002-6819.2011.07.039
中图分类号：
学科分类号：
摘要：
This study chose the North China Plain as study area and proposed a new method of multiple cropping extraction from remote sensing data based on wavelet transform. Firstly, using wavelet transform to de-noise time-series SPOT VGT/NDVI (SPOT VEGETATION/normalized difference vegetation index) remote sensing data and reconstructing NDVI curve of main crops in North China Plain. Then, combining with ground samples data, farming season data and agricultural statistics data, this study extracted the multiple cropping index and spatial distribution of the North China Plain based on the double difference method. The results show that the multiple cropping index in Henan province is the largest, up to 179.4%, followed by Shandong province, which in Beijing is the smallest among the five provinces in the area, and the spatial distribution of the multiple cropping index has obvious geographical characteristics. Comparing with statistical data and other results based on remote sensing technologies, the results have the better consistency and the spatial distribution has convergence.
引用
收藏
页码：220 / 225
页数：5
相关论文
共 23 条
  • [1] pp. 104-107, (2005)
  • [2] 1, pp. 3-5, (1999)
  • [3] Guo B., The analysis for the change of multiple cropping index in China, Economic Geography, 17, 3, pp. 8-13, (1997)
  • [4] Cheng Y., The influence of climatic variation on the double cropping system of winter wheat and maize in Beijing Region, Acta Agriculturac Boreali_Sinica, 9, 1, pp. 18-24, (1994)
  • [5] Sakamoto T., van Nguyen N., Ohno H., Et al., Spatio-temporal distribution of rice phenology and cropping systems in the mekong delta with special reference to the seasonal water flow of the mekong and bassac rivers, Remote Sensing of Environment, 100, 1, pp. 1-16, (2006)
  • [6] Galford G.L., Mustard J.F., Melillo J., Et al., Wavelet analysis of MODIS time series to detect expansion and intensification of row-crop agriculture in brazil, Remote Sensing of Environment, 112, 2, pp. 576-587, (2008)
  • [7] Fan J., Wu B., A methodology for retrieving cropping index from NDVI profile, Journal of Remote Sensing, 8, 6, pp. 628-636, (2004)
  • [8] Canisius F., Turral H., Molden D., Fourier analysis of historical NOAA time series data to estimate bimodal agriculture, International Journal of Remote Sensing, 28, 24, pp. 5503-5522, (2007)
  • [9] Panigrahy S., Manjunath K.R., Ray S.S., Deriving cropping system performance indices using remote sensing data and GIS, International Journal of Remote Sensing, 26, 12, pp. 2595-2606, (2005)
  • [10] Li Z., Yang P., Zhou Q., Et al., Research on spatiotemporal pattern of crop phenological characteristics and cropping system in north china based on NDVI time series data, Acta Ecologica Sinica, 29, 11, pp. 6216-6226, (2009)
123