NDLI: Influence of scale variation on regional precision of rape acreage remote sensing monitoring

Content Provider	IEEE Xplore Digital Library
Author	Li Dandan Liu Jia Zhou Qingbo Wang Limin Huang Qing
Copyright Year	2012
Description	Author affiliation: Key Laboratory of Agri-informatics, Ministry of Agriculture, P.R. China (Li Dandan; Liu Jia; Zhou Qingbo; Wang Limin; Huang Qing)
Abstract	The remote sensing techniques have been in good operation in the application study on crop acreage monitoring from the initial small regions up to now. The crop acreage monitoring is one of element tasks in the remote-sensing yield estimation, and its precise results can affect the reliability and applicability of the data directly. With development of data sets of multispectral and multi-spatial resolutions, the comprehensive application for multi-scale remote sensing data sources is the evitable trend in the operation of the remote sensing monitoring of the large crop acreage. Thus, it is imperative to study influence of the scale variation on remote sensing monitoring precision of the crop acreage. In the paper, Anhui Province as the research area, with rapeseed for target crops, using high spatial resolution spectrum of remote sensing image (SPOT5) cultivated area is extracted, then the extracted results in different spatial resolutions are available with the scale conversion of the results based on the principle of a simple majority. In this paper, the scale effect in crop acreage remote sensing monitoring is analyzed systematically in different spatial resolution, different monitoring methods and different remote sensing times by making use of the high spatial resolution satellite data and many precision evaluation indexes. The results lays the foundation in theory and experiment for data selection and precision guarantee in the crop acreage remote sensing monitoring based on multi-scale remote sensing data.
Starting Page	1
Ending Page	5
File Size	232694
Page Count	5
File Format	PDF
ISBN	9781467324953
e-ISBN	9781467324960
e-ISBN	9781467324946
DOI	10.1109/Agro-Geoinformatics.2012.6311716
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-02
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Earth Satellites Regional Precision Scale Variation Remote Sensing Monitoring Agriculture Data mining Spatial resolution Remote sensing Monitoring Rape Acreage
Content Type	Text
Resource Type	Article

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