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High resolution mapping of vegetation dynamics from Sentinel-2

Eklundh, Lars LU orcid ; Sjöström, Martin LU ; Ardö, Jonas LU orcid and Jönsson, Per LU (2012) 1st Sentinel-2 Preparatory Symposium In European Space Agency, (Special Publication) ESA SP 707 SP.
Abstract

The aim of this work is to develop and test a method for generation of information on vegetation dynamics from high-spatial resolution data, such as Sentinel-2. In order to accomplish this, Sentinel-2 data were simulated from existing SPOT HRG and HRVIR scenes over Sweden. We used TIMESAT, a well-tested computer package for generating smooth seasonal profiles and generation of seasonality parameters, like start and end, length, amplitude, integrated values, seasonal maximum, derivatives, etc. The processing works on a pixel-by-pixel basis and is resistant to clouds and noise. Data gaps are handled, and quality information can be included to increase the fidelity of the fits. The pilot study demonstrated that TIMESAT was successful in... (More)

The aim of this work is to develop and test a method for generation of information on vegetation dynamics from high-spatial resolution data, such as Sentinel-2. In order to accomplish this, Sentinel-2 data were simulated from existing SPOT HRG and HRVIR scenes over Sweden. We used TIMESAT, a well-tested computer package for generating smooth seasonal profiles and generation of seasonality parameters, like start and end, length, amplitude, integrated values, seasonal maximum, derivatives, etc. The processing works on a pixel-by-pixel basis and is resistant to clouds and noise. Data gaps are handled, and quality information can be included to increase the fidelity of the fits. The pilot study demonstrated that TIMESAT was successful in fitting smooth model functions to the data, and generating seasonality parameters for the test area at 10 × 10 m resolution. We conclude that TIMESAT will be useful for generating vegetation dynamics data from high-spatial resolution data such as Sentinel-2. The smooth seasonal profiles will be extremely useful for driving high-resolution biophysical vegetation models, and the seasonality parameters will be excellent for change detection, and for studying trends in vegetation productivity and seasonality.

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author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Proceedings of 1st Sentinel-2 Preparatory Symposium
series title
European Space Agency, (Special Publication) ESA SP
volume
707 SP
pages
7 pages
conference name
1st Sentinel-2 Preparatory Symposium
conference location
Frascati, Italy
conference dates
2012-04-23 - 2012-04-27
external identifiers
  • scopus:84871070928
ISSN
0379-6566
ISBN
9789290922711
language
English
LU publication?
yes
id
179000b9-ce6a-4db9-b689-19459271ec21
date added to LUP
2020-04-07 22:34:58
date last changed
2022-03-26 03:23:17
@inproceedings{179000b9-ce6a-4db9-b689-19459271ec21,
  abstract     = {{<p>The aim of this work is to develop and test a method for generation of information on vegetation dynamics from high-spatial resolution data, such as Sentinel-2. In order to accomplish this, Sentinel-2 data were simulated from existing SPOT HRG and HRVIR scenes over Sweden. We used TIMESAT, a well-tested computer package for generating smooth seasonal profiles and generation of seasonality parameters, like start and end, length, amplitude, integrated values, seasonal maximum, derivatives, etc. The processing works on a pixel-by-pixel basis and is resistant to clouds and noise. Data gaps are handled, and quality information can be included to increase the fidelity of the fits. The pilot study demonstrated that TIMESAT was successful in fitting smooth model functions to the data, and generating seasonality parameters for the test area at 10 × 10 m resolution. We conclude that TIMESAT will be useful for generating vegetation dynamics data from high-spatial resolution data such as Sentinel-2. The smooth seasonal profiles will be extremely useful for driving high-resolution biophysical vegetation models, and the seasonality parameters will be excellent for change detection, and for studying trends in vegetation productivity and seasonality.</p>}},
  author       = {{Eklundh, Lars and Sjöström, Martin and Ardö, Jonas and Jönsson, Per}},
  booktitle    = {{Proceedings of 1st Sentinel-2 Preparatory Symposium}},
  isbn         = {{9789290922711}},
  issn         = {{0379-6566}},
  language     = {{eng}},
  month        = {{12}},
  series       = {{European Space Agency, (Special Publication) ESA SP}},
  title        = {{High resolution mapping of vegetation dynamics from Sentinel-2}},
  volume       = {{707 SP}},
  year         = {{2012}},
}