TerraSAR-X dual-pol time-series for mapping of wetland vegetation
Mapping vegetation formations at a fine scale is crucial for assessing wetland functions and for better landscape management. Identification and characterization of vegetation formations is generally conducted at a fine scale using ecological ground surveys, which are limited to small areas. While optical remotely sensed imagery is limited to cloud-free periods, SAR time-series are used more extensively for wetland mapping and characterization using the relationship between distribution of vegetation formations and flood duration. The aim of this study was to determine the optimal number and key dates of SAR images to be classified to map wetland vegetation formations at a 1:10,000 scale. A series of eight dual-polarization TerraSAR-X images (HH/VV) was acquired in 2013 during dry and wet seasons in temperate climate conditions. One polarimetric parameter was extracted first, the Shannon entropy, which varies with wetland flooding status and vegetation roughness. Classification runs of all the possible combinations of SAR images using different k (number of images) subsets were performed to determine the best combinations of the Shannon entropy images to identify wetland vegetation formations. The classification runs were performed using Support Vector Machine techniques and were then analyzed using the McNemar test to investigate significant differences in the accuracy of all classification runs based on the different image subsets. The results highlight the relevant periods (i.e. late winter, spring and beginning of summer) for mapping vegetation formations, in accordance with ecological studies. They also indicate that a relationship can be established between vegetation formations and hydrodynamic processes with a short time-series of satellite images (i.e. 5 dates). This study introduces a new approach for herbaceous wetland monitoring using SAR polarimetric imagery. This approach estimates the number and key dates required for wetland management (e.g. restoration) and biodiversity studies using remote sensing data.
Main Authors: | , , , , |
---|---|
Format: | article biblioteca |
Language: | eng |
Subjects: | F40 - Écologie végétale, U30 - Méthodes de recherche, P01 - Conservation de la nature et ressources foncières, terre humide, végétation, écologie, analyse de séries chronologiques, imagerie par satellite, télédétection, Radar à synthèse d'ouverture, biodiversité, http://aims.fao.org/aos/agrovoc/c_8371, http://aims.fao.org/aos/agrovoc/c_8176, http://aims.fao.org/aos/agrovoc/c_2467, http://aims.fao.org/aos/agrovoc/c_28778, http://aims.fao.org/aos/agrovoc/c_36761, http://aims.fao.org/aos/agrovoc/c_6498, http://aims.fao.org/aos/agrovoc/c_37908, http://aims.fao.org/aos/agrovoc/c_33949, http://aims.fao.org/aos/agrovoc/c_1098, http://aims.fao.org/aos/agrovoc/c_3081, |
Online Access: | http://agritrop.cirad.fr/595144/ http://agritrop.cirad.fr/595144/7/595144.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
dig-cirad-fr-595144 |
---|---|
record_format |
koha |
spelling |
dig-cirad-fr-5951442024-01-29T02:38:00Z http://agritrop.cirad.fr/595144/ http://agritrop.cirad.fr/595144/ TerraSAR-X dual-pol time-series for mapping of wetland vegetation. Betbeder Julie, Rapinel Sébastien, Corgne Samuel, Pottier Eric, Hubert-Moy Laurence. 2015. ISPRS Journal of Photogrammetry and Remote Sensing, 107 : 90-98.https://doi.org/10.1016/j.isprsjprs.2015.05.001 <https://doi.org/10.1016/j.isprsjprs.2015.05.001> TerraSAR-X dual-pol time-series for mapping of wetland vegetation Betbeder, Julie Rapinel, Sébastien Corgne, Samuel Pottier, Eric Hubert-Moy, Laurence eng 2015 ISPRS Journal of Photogrammetry and Remote Sensing F40 - Écologie végétale U30 - Méthodes de recherche P01 - Conservation de la nature et ressources foncières terre humide végétation écologie analyse de séries chronologiques imagerie par satellite télédétection Radar à synthèse d'ouverture biodiversité http://aims.fao.org/aos/agrovoc/c_8371 http://aims.fao.org/aos/agrovoc/c_8176 http://aims.fao.org/aos/agrovoc/c_2467 http://aims.fao.org/aos/agrovoc/c_28778 http://aims.fao.org/aos/agrovoc/c_36761 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_37908 http://aims.fao.org/aos/agrovoc/c_33949 Bretagne France http://aims.fao.org/aos/agrovoc/c_1098 http://aims.fao.org/aos/agrovoc/c_3081 Mapping vegetation formations at a fine scale is crucial for assessing wetland functions and for better landscape management. Identification and characterization of vegetation formations is generally conducted at a fine scale using ecological ground surveys, which are limited to small areas. While optical remotely sensed imagery is limited to cloud-free periods, SAR time-series are used more extensively for wetland mapping and characterization using the relationship between distribution of vegetation formations and flood duration. The aim of this study was to determine the optimal number and key dates of SAR images to be classified to map wetland vegetation formations at a 1:10,000 scale. A series of eight dual-polarization TerraSAR-X images (HH/VV) was acquired in 2013 during dry and wet seasons in temperate climate conditions. One polarimetric parameter was extracted first, the Shannon entropy, which varies with wetland flooding status and vegetation roughness. Classification runs of all the possible combinations of SAR images using different k (number of images) subsets were performed to determine the best combinations of the Shannon entropy images to identify wetland vegetation formations. The classification runs were performed using Support Vector Machine techniques and were then analyzed using the McNemar test to investigate significant differences in the accuracy of all classification runs based on the different image subsets. The results highlight the relevant periods (i.e. late winter, spring and beginning of summer) for mapping vegetation formations, in accordance with ecological studies. They also indicate that a relationship can be established between vegetation formations and hydrodynamic processes with a short time-series of satellite images (i.e. 5 dates). This study introduces a new approach for herbaceous wetland monitoring using SAR polarimetric imagery. This approach estimates the number and key dates required for wetland management (e.g. restoration) and biodiversity studies using remote sensing data. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/595144/7/595144.pdf text Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1016/j.isprsjprs.2015.05.001 10.1016/j.isprsjprs.2015.05.001 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.isprsjprs.2015.05.001 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1016/j.isprsjprs.2015.05.001 |
institution |
CIRAD FR |
collection |
DSpace |
country |
Francia |
countrycode |
FR |
component |
Bibliográfico |
access |
En linea |
databasecode |
dig-cirad-fr |
tag |
biblioteca |
region |
Europa del Oeste |
libraryname |
Biblioteca del CIRAD Francia |
language |
eng |
topic |
F40 - Écologie végétale U30 - Méthodes de recherche P01 - Conservation de la nature et ressources foncières terre humide végétation écologie analyse de séries chronologiques imagerie par satellite télédétection Radar à synthèse d'ouverture biodiversité http://aims.fao.org/aos/agrovoc/c_8371 http://aims.fao.org/aos/agrovoc/c_8176 http://aims.fao.org/aos/agrovoc/c_2467 http://aims.fao.org/aos/agrovoc/c_28778 http://aims.fao.org/aos/agrovoc/c_36761 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_37908 http://aims.fao.org/aos/agrovoc/c_33949 http://aims.fao.org/aos/agrovoc/c_1098 http://aims.fao.org/aos/agrovoc/c_3081 F40 - Écologie végétale U30 - Méthodes de recherche P01 - Conservation de la nature et ressources foncières terre humide végétation écologie analyse de séries chronologiques imagerie par satellite télédétection Radar à synthèse d'ouverture biodiversité http://aims.fao.org/aos/agrovoc/c_8371 http://aims.fao.org/aos/agrovoc/c_8176 http://aims.fao.org/aos/agrovoc/c_2467 http://aims.fao.org/aos/agrovoc/c_28778 http://aims.fao.org/aos/agrovoc/c_36761 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_37908 http://aims.fao.org/aos/agrovoc/c_33949 http://aims.fao.org/aos/agrovoc/c_1098 http://aims.fao.org/aos/agrovoc/c_3081 |
spellingShingle |
F40 - Écologie végétale U30 - Méthodes de recherche P01 - Conservation de la nature et ressources foncières terre humide végétation écologie analyse de séries chronologiques imagerie par satellite télédétection Radar à synthèse d'ouverture biodiversité http://aims.fao.org/aos/agrovoc/c_8371 http://aims.fao.org/aos/agrovoc/c_8176 http://aims.fao.org/aos/agrovoc/c_2467 http://aims.fao.org/aos/agrovoc/c_28778 http://aims.fao.org/aos/agrovoc/c_36761 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_37908 http://aims.fao.org/aos/agrovoc/c_33949 http://aims.fao.org/aos/agrovoc/c_1098 http://aims.fao.org/aos/agrovoc/c_3081 F40 - Écologie végétale U30 - Méthodes de recherche P01 - Conservation de la nature et ressources foncières terre humide végétation écologie analyse de séries chronologiques imagerie par satellite télédétection Radar à synthèse d'ouverture biodiversité http://aims.fao.org/aos/agrovoc/c_8371 http://aims.fao.org/aos/agrovoc/c_8176 http://aims.fao.org/aos/agrovoc/c_2467 http://aims.fao.org/aos/agrovoc/c_28778 http://aims.fao.org/aos/agrovoc/c_36761 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_37908 http://aims.fao.org/aos/agrovoc/c_33949 http://aims.fao.org/aos/agrovoc/c_1098 http://aims.fao.org/aos/agrovoc/c_3081 Betbeder, Julie Rapinel, Sébastien Corgne, Samuel Pottier, Eric Hubert-Moy, Laurence TerraSAR-X dual-pol time-series for mapping of wetland vegetation |
description |
Mapping vegetation formations at a fine scale is crucial for assessing wetland functions and for better landscape management. Identification and characterization of vegetation formations is generally conducted at a fine scale using ecological ground surveys, which are limited to small areas. While optical remotely sensed imagery is limited to cloud-free periods, SAR time-series are used more extensively for wetland mapping and characterization using the relationship between distribution of vegetation formations and flood duration. The aim of this study was to determine the optimal number and key dates of SAR images to be classified to map wetland vegetation formations at a 1:10,000 scale. A series of eight dual-polarization TerraSAR-X images (HH/VV) was acquired in 2013 during dry and wet seasons in temperate climate conditions. One polarimetric parameter was extracted first, the Shannon entropy, which varies with wetland flooding status and vegetation roughness. Classification runs of all the possible combinations of SAR images using different k (number of images) subsets were performed to determine the best combinations of the Shannon entropy images to identify wetland vegetation formations. The classification runs were performed using Support Vector Machine techniques and were then analyzed using the McNemar test to investigate significant differences in the accuracy of all classification runs based on the different image subsets. The results highlight the relevant periods (i.e. late winter, spring and beginning of summer) for mapping vegetation formations, in accordance with ecological studies. They also indicate that a relationship can be established between vegetation formations and hydrodynamic processes with a short time-series of satellite images (i.e. 5 dates). This study introduces a new approach for herbaceous wetland monitoring using SAR polarimetric imagery. This approach estimates the number and key dates required for wetland management (e.g. restoration) and biodiversity studies using remote sensing data. |
format |
article |
topic_facet |
F40 - Écologie végétale U30 - Méthodes de recherche P01 - Conservation de la nature et ressources foncières terre humide végétation écologie analyse de séries chronologiques imagerie par satellite télédétection Radar à synthèse d'ouverture biodiversité http://aims.fao.org/aos/agrovoc/c_8371 http://aims.fao.org/aos/agrovoc/c_8176 http://aims.fao.org/aos/agrovoc/c_2467 http://aims.fao.org/aos/agrovoc/c_28778 http://aims.fao.org/aos/agrovoc/c_36761 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_37908 http://aims.fao.org/aos/agrovoc/c_33949 http://aims.fao.org/aos/agrovoc/c_1098 http://aims.fao.org/aos/agrovoc/c_3081 |
author |
Betbeder, Julie Rapinel, Sébastien Corgne, Samuel Pottier, Eric Hubert-Moy, Laurence |
author_facet |
Betbeder, Julie Rapinel, Sébastien Corgne, Samuel Pottier, Eric Hubert-Moy, Laurence |
author_sort |
Betbeder, Julie |
title |
TerraSAR-X dual-pol time-series for mapping of wetland vegetation |
title_short |
TerraSAR-X dual-pol time-series for mapping of wetland vegetation |
title_full |
TerraSAR-X dual-pol time-series for mapping of wetland vegetation |
title_fullStr |
TerraSAR-X dual-pol time-series for mapping of wetland vegetation |
title_full_unstemmed |
TerraSAR-X dual-pol time-series for mapping of wetland vegetation |
title_sort |
terrasar-x dual-pol time-series for mapping of wetland vegetation |
url |
http://agritrop.cirad.fr/595144/ http://agritrop.cirad.fr/595144/7/595144.pdf |
work_keys_str_mv |
AT betbederjulie terrasarxdualpoltimeseriesformappingofwetlandvegetation AT rapinelsebastien terrasarxdualpoltimeseriesformappingofwetlandvegetation AT corgnesamuel terrasarxdualpoltimeseriesformappingofwetlandvegetation AT pottiereric terrasarxdualpoltimeseriesformappingofwetlandvegetation AT hubertmoylaurence terrasarxdualpoltimeseriesformappingofwetlandvegetation |
_version_ |
1792499912187838464 |