Title :
Comparative analysis of HJ-1, SPOT, and TM data for leaf area index estimation in a mountainous area
Author :
Huaan Jin ; Ainong Li ; Jinhu Bian
Author_Institution :
Inst. of Mountain Hazards & Environ., Chengdu, China
Abstract :
The leaf area index is one of key parameters for ecosystem monitoring, global carbon circulation and climate change. The remote sensing data from different satellites have become the primary data source for estimating leaf area index from regional to global scale. In this study, we assess the potential use of Landsat TM, HJ-1 CCD, and SPOT HRVIR sensors for leaf area index estimation in a mountainous area. Results suggest that three sensors behave similarly for LAI inversion over complicated terrain. The maximum correlation coefficients are in the order of broadleaf forest (0.82) > shrub/grass (0.78) > all plots (0.61) > needleleaf forest (0.53), which are derived from the field LAI-SPOT SWVI, TM SR, SPOT SWVI, and SPOT RSR relationships for all plots, needleleaf forest, broadleaf forest, and shrub/grass, respectively.
Keywords :
remote sensing; vegetation; HJ-1 data; HJ-I CCD sensor; LAI-SPOT SWVI field; Landsat TM sensor; SPOT RSR field; SPOT SWVI field; SPOT VIR sensor; SPOT data; TM SR field; TM data; broadleaf forest; climate change; ecosystem monitoring; global carbon circulation; leaf area index; maximum correlation coefficients; mountainous area; remote sensing data; Earth; Indexes; Remote sensing; Satellite broadcasting; Satellites; Sensors; Vegetation mapping; HJ-1 CCD; Landsat TM; Leaf area index; SPOT4 HRVIR; mountainous area;
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.2013.6723401
