IGSNRR OpenIR  > 研究生部
The extraction of multiple cropping index of China based on NDVI time-series
Huang, Haitao(黄海涛); Gao, Zhiqiang
Source PublicationProceedings of SPIE - The International Society for Optical Engineering ; Remote Sensing and Modeling of Ecosystems for Sustainability VIII ; Proceedings of SPIE - The International Society for Optical Engineering ; Remote Sensing and Modeling of Ecosystems for Sustainability VIII
2011
Source PublicationProceedings of SPIE - The International Society for Optical Engineering ; Remote Sensing and Modeling of Ecosystems for Sustainability VIII ; Proceedings of SPIE - The International Society for Optical Engineering ; Remote Sensing and Modeling of Ecosystems for Sustainability VIII
Corresponding AuthorHuang, Haitao(黄海涛)
Conference DateAugust 22, 2011 - August 23, 2011
Conference PlaceSan Diego, CA, United states
Publication PlaceP.O. Box 10, Bellingham, WA 98227-0010, United States
PublisherSPIE
Funding OrganizationThe Society of Photo-Optical Instrumentation Engineers (SPIE)
AbstractMultiple cropping index reflects the intensity of arable land been used by a certain planting system. The bond between multiple cropping index and NDVI time-series is the crop cycle rule, which determines the crop process of seeding, jointing, tasseling, ripeness and harvesting and so on. The cycle rule can be retrieved by NDVI time-series for that peaks and valleys on the time-series curve correspond to different periods of crop growth. In this paper, we aim to extract the multiple cropping index of China from NDVI time-series. Because of cloud contamination, some NDVI values are depressed. MVC (Maximum Value Composite) synthesis is used to SPOT-VGT data to remove the noise, but this method doesn't work sufficiently. In order to accurately extract the multiple cropping index, the algorithm HANTS (Harmonic Analysis of Time Series) is employed to remove the cloud contamination. The reconstructed NDVI time-series can explicitly characterize the biophysical process of planting, seedling, elongating, heading, harvesting of crops. Based on the reconstructed curve, we calculate the multiple cropping index of arable land by extracting the number of peaks of the curve for that one peak represents one season crop. This paper presents a method to extracting the multiple cropping index from remote sensing image and then the multiple cropping index of China is extracted from VEGETATION decadal composites NDVI time series of year 2000 and 2009. From the processed data, we can get the spatial distribution of tillage system of China, and then further discussion about cropping index change between the 10 years is conducted.
KeywordCrops Ecosystems Harmonic Analysis Image Reconstruction Land Use Remote Sensing Sustainable Development Time Series
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/21933
Collection研究生部
Corresponding AuthorHuang, Haitao(黄海涛)
Recommended Citation
GB/T 7714
Huang, Haitao,Gao, Zhiqiang. The extraction of multiple cropping index of China based on NDVI time-series[C]. P.O. Box 10, Bellingham, WA 98227-0010, United States:SPIE,2011.
Files in This Item: Download All
File Name/Size DocType Version Access License
黄海涛(EI).pdf(1641KB) 开放获取LicenseView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Huang, Haitao(黄海涛)]'s Articles
[Gao, Zhiqiang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Huang, Haitao(黄海涛)]'s Articles
[Gao, Zhiqiang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Huang, Haitao(黄海涛)]'s Articles
[Gao, Zhiqiang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 黄海涛(EI).pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.