Title :
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
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;
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.2013.6723127
