Determination of paddy rice growth indicators with MODIS data and ground-based measurements of LAI

DOI

10.2991/rsete.2013.102How to use a DOI?

Keywords

MODIS, paddy rice, vegetation index, LAI, growth indicator

Abstract

The study is about the monitoring index of the growth of paddy rice with remote sensing in use of MODIS data in 2010, drawing 4 vegetation indices, ration vegetation index (RVI) normalized difference vegetation index (NDVI) vegetation condition index (VCI) and enhanced vegetation index (EVI) as remote sensing parameters. The vegetation indexes were selected to inverse LAI and vegetation index of LAI model was established .The study showed, among the vegetation index of LAI models, EVI and NDVI had significant correlations with LAI. The analysis of precision and accuracy using predicted value and actual value showed Cubic model of EVI was superior to the other vegetation and models, so that EVI was chosen as the final monitoring index for monitoring the growth.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jing Yuanshu
AU  - Li Gen
AU  - Chen Jianjun
AU  - Shi Yiwen
PY  - 2013/08
DA  - 2013/08
TI  - Determination of paddy rice growth indicators with MODIS data and ground-based measurements of LAI
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 417
EP  - 420
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.102
DO  - 10.2991/rsete.2013.102
ID  - Yuanshu2013/08
ER  -