An evaluation of different bi-spectral spaces for discriminating burned shrub-savannah
T. S., и F. S.. International Journal of Remote Sensing, (1 September 2001)
Аннотация
We report on the numerical separation of burned and unburned vegetation classes using different bi-spectral spaces, based on the analysis of spectroradiometric data collected in situ and convolved to five spectral bands at red to mid-infrared (MIR) wavelengths. A combination of two MIR bands was found to have strong spectral separation of burned and unburned samples. Using these bands, a spectral index was formulated which is highly sensitive to spectral changes due to burning and relatively insensitive to intrinsic variability. Results have implications for the remote sensing of burned shrub-savannah using bands available on high- and low-spatial resolution sensors, in particular, Landsat TM and MODIS.
Описание
IngentaConnect An evaluation of different bi-spectral spaces for discriminating ...
%0 Journal Article
%1 TriggFlasse2001
%A S., Trigg
%A S., Flasse
%D 1 September 2001
%J International Journal of Remote Sensing
%K burnedarea burning burnscar fire fires reflectance remotesensing satellite vegetation wildfire
%P 2641-2647(7)
%T An evaluation of different bi-spectral spaces for discriminating burned shrub-savannah
%U http://www.ingentaconnect.com/content/tandf/tres/2001/00000022/00000013/art00015
%V 22
%X We report on the numerical separation of burned and unburned vegetation classes using different bi-spectral spaces, based on the analysis of spectroradiometric data collected in situ and convolved to five spectral bands at red to mid-infrared (MIR) wavelengths. A combination of two MIR bands was found to have strong spectral separation of burned and unburned samples. Using these bands, a spectral index was formulated which is highly sensitive to spectral changes due to burning and relatively insensitive to intrinsic variability. Results have implications for the remote sensing of burned shrub-savannah using bands available on high- and low-spatial resolution sensors, in particular, Landsat TM and MODIS.
@article{TriggFlasse2001,
abstract = {We report on the numerical separation of burned and unburned vegetation classes using different bi-spectral spaces, based on the analysis of spectroradiometric data collected in situ and convolved to five spectral bands at red to mid-infrared (MIR) wavelengths. A combination of two MIR bands was found to have strong spectral separation of burned and unburned samples. Using these bands, a spectral index was formulated which is highly sensitive to spectral changes due to burning and relatively insensitive to intrinsic variability. Results have implications for the remote sensing of burned shrub-savannah using bands available on high- and low-spatial resolution sensors, in particular, Landsat TM and MODIS.},
added-at = {2009-04-29T19:07:31.000+0200},
author = {S., Trigg and S., Flasse},
biburl = {https://www.bibsonomy.org/bibtex/2b3a51f555c56b88e77a1af4a767d2450/jgomezdans},
description = {IngentaConnect An evaluation of different bi-spectral spaces for discriminating ...},
interhash = {66a8cf0ffba03c0a84a124d6e6c94e95},
intrahash = {b3a51f555c56b88e77a1af4a767d2450},
journal = {International Journal of Remote Sensing},
keywords = {burnedarea burning burnscar fire fires reflectance remotesensing satellite vegetation wildfire},
pages = {2641-2647(7)},
timestamp = {2009-04-29T19:07:31.000+0200},
title = {An evaluation of different bi-spectral spaces for discriminating burned shrub-savannah},
url = {http://www.ingentaconnect.com/content/tandf/tres/2001/00000022/00000013/art00015},
volume = 22,
year = {1 September 2001}
}