Correlation analysis between forest canopy density and LANDSAT TM data based on sub-compartment objects

Author

Cunjian Yang ; Jing Ni ; He Huang ; Wuxue Cheng ; Shaou Han

Author_Institution

Key Lab. of Land Resources Evaluation & Monitoring in Southwest, Sichuan Normal Univ., Chengdu, China

fYear

2013

fDate

21-26 July 2013

Firstpage

1717

Lastpage

1720

Abstract

Forest canopy density is an important attribute of forest. The correlation of forest canopy density with LANDSAT TM and its derivative data was discussed here. The forest resource field inventory data and simultaneous LANDSAT TM data were used here in Shimian county, Sichuan province, P.R.of China. A lot of derivative data were created from LANDSAT TM data. 1204 forest sub-compartments with inner homogeneity were used as samples for correlation analysis. It was found that both TM7 and the third principal component (P3) of LANDSAT TM data were negatively and significantly (95%) related to forest canopy density on forest sub-compartment. It was also found that TM1, TM2, TM3, TM4, TM5 and TM7 were positively and significantly (99%) related to the forest canopy density when the forest canopy density was not less than 50 percent.

Keywords

principal component analysis; vegetation; vegetation mapping; LANDSAT TM data; P.R. of China; Shimian county; Sichuan province; TM1 data; TM2 data; TM3 data; TM4 data; TM5 data; TM7 data; correlation analysis; derivative data; forest canopy density; forest resource field inventory data; forest subcompartments; third principal component; Correlation; Correlation coefficient; Earth; Indexes; Remote sensing; Satellites; Vegetation mapping; Correlation analysis; Forest canopy density; Forest sub-compartment; LANDSAT TM; Stratification;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International

Conference_Location

Melbourne, VIC

ISSN

2153-6996

Print_ISBN

978-1-4799-1114-1

Type

conf

DOI

10.1109/IGARSS.2013.6723127

Filename

6723127