Remote Estimation of Leaf Water Content Using Spectral Index Derived From Hyperspectral Data

DOI

10.2991/iset-15.2015.6How to use a DOI?

Keywords

Leaf water content, Vegetation index, Hyperspectral

Abstract

Monitoring crop water content by remote sensing has been an important problem for agricultural drought monitoring and water resources management. The triangular water vegetation index is affected by canopy structure parameters, such as leaf area index. To improve this, we used the method of ratio index to put forward a new vegetation index with the improved soil adjustable vegetation index. The precision of the new index for monitoring agricultural drought was verified by simulated data and field observation data. The results showed that the new index was a good method to monitoring the crop water content. However, due to the limitations of data acquisition, the field validation was only with the data of wheat which observed in Yucheng, shandong province. In the future, more tests still need to be done.

Copyright

© 2015, 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  - Chengfang Zhang
AU  - Zhiyuan Pan
AU  - Heng Dong
AU  - Fangjian He
AU  - Xingbang Hu
PY  - 2015/03
DA  - 2015/03
TI  - Remote Estimation of Leaf Water Content Using Spectral Index Derived From Hyperspectral Data
BT  - Proceedings of the First International Conference on Information Science and Electronic Technology
PB  - Atlantis Press
SP  - 20
EP  - 23
SN  - 2352-538X
UR  - https://doi.org/10.2991/iset-15.2015.6
DO  - 10.2991/iset-15.2015.6
ID  - Zhang2015/03
ER  -