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Ecological applications of physically based remote sensing methods

Rautiainen, Miina; Heiskanen, Janne; Eklundh, Lars LU ; Mottus, Matti; Lukes, Petr and Stenberg, Pauline (2010) In Scandinavian Journal of Forest Research 25(4). p.325-339
Abstract
Global monitoring of vegetation using optical remote sensing has undergone rapid technological and methodological development during the past decade. Physically based methods generally apply reflectance models for interpreting remotely sensed data sets. These methods have become increasingly important in the assessment of terrestrial variables from satellite-borne and airborne images. Products based on satellite images currently include various ecological variables that are needed for monitoring changes in forest cover, structure and functioning, including biophysical variables such as the amount of photosynthesizing leaf area. This paper reviews variables and global products estimated from optical satellite sensors describing, for... (More)
Global monitoring of vegetation using optical remote sensing has undergone rapid technological and methodological development during the past decade. Physically based methods generally apply reflectance models for interpreting remotely sensed data sets. These methods have become increasingly important in the assessment of terrestrial variables from satellite-borne and airborne images. Products based on satellite images currently include various ecological variables that are needed for monitoring changes in forest cover, structure and functioning, including biophysical variables such as the amount of photosynthesizing leaf area. This paper reviews variables and global products estimated from optical satellite sensors describing, for example, the amount and functioning of green biomass and forest carbon exchange. Continuous validation work as new vegetation products are released continues to be important. More emphasis is needed on the collection of field data equivalent to satellite retrievals, data harmonization and continuous measurements of seasonal forest dynamics. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
LUE, LAI, fAPAR, albedo, chlorophyll, NPP, reflectance model
in
Scandinavian Journal of Forest Research
volume
25
issue
4
pages
325 - 339
publisher
Taylor & Francis
external identifiers
  • wos:000280454800006
  • scopus:77955076148
ISSN
0282-7581
DOI
10.1080/02827581.2010.497159
project
BECC
language
English
LU publication?
yes
id
c7ea770d-dfff-40fa-853b-16cd073b165c (old id 1653671)
date added to LUP
2010-08-26 09:27:49
date last changed
2018-05-29 11:50:31
@article{c7ea770d-dfff-40fa-853b-16cd073b165c,
  abstract     = {Global monitoring of vegetation using optical remote sensing has undergone rapid technological and methodological development during the past decade. Physically based methods generally apply reflectance models for interpreting remotely sensed data sets. These methods have become increasingly important in the assessment of terrestrial variables from satellite-borne and airborne images. Products based on satellite images currently include various ecological variables that are needed for monitoring changes in forest cover, structure and functioning, including biophysical variables such as the amount of photosynthesizing leaf area. This paper reviews variables and global products estimated from optical satellite sensors describing, for example, the amount and functioning of green biomass and forest carbon exchange. Continuous validation work as new vegetation products are released continues to be important. More emphasis is needed on the collection of field data equivalent to satellite retrievals, data harmonization and continuous measurements of seasonal forest dynamics.},
  author       = {Rautiainen, Miina and Heiskanen, Janne and Eklundh, Lars and Mottus, Matti and Lukes, Petr and Stenberg, Pauline},
  issn         = {0282-7581},
  keyword      = {LUE,LAI,fAPAR,albedo,chlorophyll,NPP,reflectance model},
  language     = {eng},
  number       = {4},
  pages        = {325--339},
  publisher    = {Taylor & Francis},
  series       = {Scandinavian Journal of Forest Research},
  title        = {Ecological applications of physically based remote sensing methods},
  url          = {http://dx.doi.org/10.1080/02827581.2010.497159},
  volume       = {25},
  year         = {2010},
}