By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
GuoLin Gao ; Key Lab. of Geographic Inf. Sci., ECNU, Shanghai, China ; XinSheng Wang ; ShiYing Wang

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.

Published in:

Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on

Date of Conference:

24-26 June 2011