Extraction and Inversion of deciduous broad-leaved forest Based on HJ-CCD Remote Sensing Data

DOI

10.2991/rsete.2013.48How to use a DOI?

Keywords

HJ-CCD deciduous broad-leaved forest NDVI poplar forest LAI

Abstract

In this paper, Chuzhou area in Anhui province was taken as the study area, and deciduous broad-leaved forest as the study object. The NDVI was obtained based on HJ-CCD remote sensing images acquired on April 1,2012 and May 4,2012 when broad-leaved forest was respectively in leaf expansion and flowering. Next, combined with the position information collected in field, the recognition model for deciduous broad-leaved forest was proposed with NDVI difference rate between leaf expansion and flowering. And then deciduous broad-leaved forest in the study area was extracted effectively and the result was verified. Finally, poplar forest was taken as an example, and then the LAI inversion was carried out and the result was verified by using the LAI data obtained in field combined with poplar forest data information collected at the plot. The results show the validity of NDVI difference rate recognition method proposed in this paper and also verify the advantages of LAI inversion for poplar forest using HJ-CCD data .

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  - Yan Wang
AU  - Qingjiu Tian
AU  - Yan Huang
PY  - 2013/08
DA  - 2013/08
TI  - Extraction and Inversion of deciduous broad-leaved forest Based on HJ-CCD Remote Sensing Data
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 194
EP  - 198
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.48
DO  - 10.2991/rsete.2013.48
ID  - Wang2013/08
ER  -