Title
Predicting eucalypt biochemistry from HYPERION and HYMAP imagery
Abstract
Hyperspectral remote sensing methods are advancing rapidly and offer the promise of estimating canopy pigment, bio-chemistry and water content dynamics, which can in turn be linked to carbon assimilation, forest growth and photosynthetic capacity models. The recent EO-1 HYPERION mission and associated field campaigns with ground based spectra and HYMAP airborne 5m hyperspectral imagery has allowed foliage bio-physical and bio-chemistry variables of eucalypt vegetation to be analyzed in conjunction with remotely sensed spectra. The paper will report on the prediction of eucalypt leaf bio-chemistry from ground based, airborne and satellite spectra and detail the approaches used to extrapolate these results from individual leaves to regional scales to allow estimates of the carbon cycle to be made across the landscape using combinations of inverse modeling and remote sensing. The paper details results from eucalypt forest near Tumbarumba (Bago-Maragle State Forest), Australia which has a number of eucalypt species, ranging in productivity and age.
Year
DOI
Venue
2002
10.1109/IGARSS.2002.1025687
IGARSS
Keywords
Field
DocType
forestry,geophysical techniques,vegetation mapping,400 to 2400 nm,australia,bago-maragle state forest,eo-1,eucalypt,eucalyptus,hymap,hyperion,ir,new south wales,tumbarumba,bio-chemistry,biochemistry,canopy pigment,chemical composition,chemistry,eucalypt forest,foliage,forest,geophysical measurement technique,gum tree,hyperspectral remote sensing,infrared,multispectral remote sensing,visible,inverse problems,remote sensing,satellites,hyperspectral sensors,image analysis,carbon cycle,inverse modeling,pigmentation,hyperspectral imaging,hyperspectral imagery,water content
Satellite,Vegetation,State forest,Computer science,Remote sensing,Hyperspectral imaging,Photosynthetic capacity,HyMap,Carbon cycle,Canopy
Conference
Volume
ISSN
ISBN
2
2153-6996
0-7803-7536-X
Citations 
PageRank 
References 
4
5.18
0
Authors
5
Name
Order
Citations
PageRank
Nicholas C. Coops112330.17
Marie-Louise Smith2176.62
Mary E. Martin3176.62
Scott V. Ollinger4176.96
Alex Held5229.80