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Using ERDAS to extract and estimate the rice planting area of Hubei Province

Authors: GuoLin Gao; XinSheng Wang; ShiYing Wang;

Using ERDAS to extract and estimate the rice planting area of Hubei Province

Abstract

Having been one of an important application on remote sensing monitoring of rice, information extraction and estimation of large rice planting area timely is likely to be more difficult, only depending on the former on-the-spot investigation. According to the rice spectral reflectance characteristics in transplanting, the study analyzes the relationship of normalized difference vegetation index and land surface water index, enhanced vegetation index and land surface water index, to extracting and estimating the rice area information of Hubei Province automatically. To explore convenient, time-saving, low-expense and high-efficiency ways of rice area information extraction and estimation, and give references to agriculture department on guiding agricultural production and further rice estimation.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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