Title :
Correlation analysis between forest volume and LANDSAT TM data based on sub-compartment objects
Author :
Cunjian Yang ; He Huang ; Shaou Han ; Jing Ni
Author_Institution :
Key Lab. of Land Resources Evaluation & Monitoring in Southwest, Sichuan Normal Univ., Chengdu, China
Abstract :
The correlation of forest volume with LANDSAT TM data 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 by vegetation index calculation, principal component analysis, and tasseled cap transformation. 1204 forest sub-compartments with inner homogeneity were used as samples for correlation analysis. It was found that TM1, TM2, TM3, TM4, TM5 and TM7 were negatively and significantly (99%) related to the pixel forest volume on forest sub-compartment object. The highest is -0.307, which was the correlation coefficient of the TM1 with pixel forest volume. All derivative data except wetness of tasseled cap transformation were negatively and significantly (99%) related to the pixel forest volume, but wetness was positively and significantly (99%) related to the pixel forest volume.
Keywords :
remote sensing; vegetation; China; LANDSAT TM data; Shimian county; Sichuan province; TM1 correlation coefficient; forest resource field inventory data; forest volume data; pixel forest volume; principal component analysis; sub-compartment objects; tasseled cap transformation; vegetation index calculation; Correlation; Correlation coefficient; Earth; Indexes; Remote sensing; Satellites; Vegetation mapping; Correlation analysis; Forest sub-compartment; Forest volume; LANDSAT TM; Vegetation index;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723128
