Use of very high spatial resolution imagery for mapping wood energy potential from tropical managed forest stands, Reunion island
The development of a sustainable wood energy chain is an essential part of ecological and energy transition in Reunion Island (Indian Ocean), where Acacia mearnsii is the main potential wood energy resource identified to date. In order to assess future wood biomass supply chain strategies, a major first issue is to gain knowledge of the spatial distribution of this species forest stands. In this study, we assessed the potential of very high spatial resolution multispectral imagery for mapping the main forest stands in a study area located the Western Highlands region, where Acacia mearnsii expands alongside Acacia heterophylla, an endemic forest species and Cryptomeria japonica, an exotic forest stand. A reference database including 150 samples of seven classes (Acacia mearnsii (mature and non-mature), Acacia heterophylla (mature and non-mature), Cryptomeria japonica, 'herbaceous areas', and 'bare soils') was used to classify a Pleiades image acquired in May 2020. Spectral and textural indices were used in an incremental classification procedure using a random classifier.
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Subjects: | K01 - Foresterie - Considérations générales, U30 - Méthodes de recherche, P06 - Sources d'énergie renouvelable, bois énergie, peuplement forestier, forêt tropicale, cartographie, imagerie par satellite, imagerie multispectrale, Acacia mearnsii, Cryptomeria japonica, indice de végétation, http://aims.fao.org/aos/agrovoc/c_37916, http://aims.fao.org/aos/agrovoc/c_28080, http://aims.fao.org/aos/agrovoc/c_24904, http://aims.fao.org/aos/agrovoc/c_1344, http://aims.fao.org/aos/agrovoc/c_36761, http://aims.fao.org/aos/agrovoc/c_36765, http://aims.fao.org/aos/agrovoc/c_43, http://aims.fao.org/aos/agrovoc/c_1989, http://aims.fao.org/aos/agrovoc/c_9000171, http://aims.fao.org/aos/agrovoc/c_6543, http://aims.fao.org/aos/agrovoc/c_3081, |
Online Access: | http://agritrop.cirad.fr/598719/ http://agritrop.cirad.fr/598719/7/598710.pdf |
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dig-cirad-fr-5987192024-01-29T03:37:23Z http://agritrop.cirad.fr/598719/ http://agritrop.cirad.fr/598719/ Use of very high spatial resolution imagery for mapping wood energy potential from tropical managed forest stands, Reunion island. Bley-Dalouman Hélène, Broust François, Tran Annelise. 2021. In : XXIV ISPRS Congress "Imaging today, foreseeing tomorrow". Paparoditis N. (ed.), Mallet C. (ed.), Lafarge F. (ed.), Yang M.Y. (ed.), Yang M.Y. (ed.), Jiang J. (ed.), Shaker A. (ed.), et Al.. Hanovre : ISPRS, 189-194. (ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B3-2021) ISPRS Congress 2021 Commission III. 24, s.l., 5 Juillet 2021/9 Juillet 2021.https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-189-2021 <https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-189-2021> Use of very high spatial resolution imagery for mapping wood energy potential from tropical managed forest stands, Reunion island Bley-Dalouman, Hélène Broust, François Tran, Annelise eng 2021 ISPRS XXIV ISPRS Congress "Imaging today, foreseeing tomorrow" K01 - Foresterie - Considérations générales U30 - Méthodes de recherche P06 - Sources d'énergie renouvelable bois énergie peuplement forestier forêt tropicale cartographie imagerie par satellite imagerie multispectrale Acacia mearnsii Cryptomeria japonica indice de végétation http://aims.fao.org/aos/agrovoc/c_37916 http://aims.fao.org/aos/agrovoc/c_28080 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_1344 http://aims.fao.org/aos/agrovoc/c_36761 http://aims.fao.org/aos/agrovoc/c_36765 http://aims.fao.org/aos/agrovoc/c_43 http://aims.fao.org/aos/agrovoc/c_1989 http://aims.fao.org/aos/agrovoc/c_9000171 La Réunion France http://aims.fao.org/aos/agrovoc/c_6543 http://aims.fao.org/aos/agrovoc/c_3081 The development of a sustainable wood energy chain is an essential part of ecological and energy transition in Reunion Island (Indian Ocean), where Acacia mearnsii is the main potential wood energy resource identified to date. In order to assess future wood biomass supply chain strategies, a major first issue is to gain knowledge of the spatial distribution of this species forest stands. In this study, we assessed the potential of very high spatial resolution multispectral imagery for mapping the main forest stands in a study area located the Western Highlands region, where Acacia mearnsii expands alongside Acacia heterophylla, an endemic forest species and Cryptomeria japonica, an exotic forest stand. A reference database including 150 samples of seven classes (Acacia mearnsii (mature and non-mature), Acacia heterophylla (mature and non-mature), Cryptomeria japonica, 'herbaceous areas', and 'bare soils') was used to classify a Pleiades image acquired in May 2020. Spectral and textural indices were used in an incremental classification procedure using a random classifier. conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/598719/7/598710.pdf text cc_by info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-189-2021 10.5194/isprs-archives-XLIII-B3-2021-189-2021 info:eu-repo/semantics/altIdentifier/doi/10.5194/isprs-archives-XLIII-B3-2021-189-2021 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-189-2021 info:eu-repo/semantics/reference/purl/https://doi.org/10.18167/DVN1/LXXO9Y |
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K01 - Foresterie - Considérations générales U30 - Méthodes de recherche P06 - Sources d'énergie renouvelable bois énergie peuplement forestier forêt tropicale cartographie imagerie par satellite imagerie multispectrale Acacia mearnsii Cryptomeria japonica indice de végétation http://aims.fao.org/aos/agrovoc/c_37916 http://aims.fao.org/aos/agrovoc/c_28080 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_1344 http://aims.fao.org/aos/agrovoc/c_36761 http://aims.fao.org/aos/agrovoc/c_36765 http://aims.fao.org/aos/agrovoc/c_43 http://aims.fao.org/aos/agrovoc/c_1989 http://aims.fao.org/aos/agrovoc/c_9000171 http://aims.fao.org/aos/agrovoc/c_6543 http://aims.fao.org/aos/agrovoc/c_3081 K01 - Foresterie - Considérations générales U30 - Méthodes de recherche P06 - Sources d'énergie renouvelable bois énergie peuplement forestier forêt tropicale cartographie imagerie par satellite imagerie multispectrale Acacia mearnsii Cryptomeria japonica indice de végétation http://aims.fao.org/aos/agrovoc/c_37916 http://aims.fao.org/aos/agrovoc/c_28080 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_1344 http://aims.fao.org/aos/agrovoc/c_36761 http://aims.fao.org/aos/agrovoc/c_36765 http://aims.fao.org/aos/agrovoc/c_43 http://aims.fao.org/aos/agrovoc/c_1989 http://aims.fao.org/aos/agrovoc/c_9000171 http://aims.fao.org/aos/agrovoc/c_6543 http://aims.fao.org/aos/agrovoc/c_3081 |
spellingShingle |
K01 - Foresterie - Considérations générales U30 - Méthodes de recherche P06 - Sources d'énergie renouvelable bois énergie peuplement forestier forêt tropicale cartographie imagerie par satellite imagerie multispectrale Acacia mearnsii Cryptomeria japonica indice de végétation http://aims.fao.org/aos/agrovoc/c_37916 http://aims.fao.org/aos/agrovoc/c_28080 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_1344 http://aims.fao.org/aos/agrovoc/c_36761 http://aims.fao.org/aos/agrovoc/c_36765 http://aims.fao.org/aos/agrovoc/c_43 http://aims.fao.org/aos/agrovoc/c_1989 http://aims.fao.org/aos/agrovoc/c_9000171 http://aims.fao.org/aos/agrovoc/c_6543 http://aims.fao.org/aos/agrovoc/c_3081 K01 - Foresterie - Considérations générales U30 - Méthodes de recherche P06 - Sources d'énergie renouvelable bois énergie peuplement forestier forêt tropicale cartographie imagerie par satellite imagerie multispectrale Acacia mearnsii Cryptomeria japonica indice de végétation http://aims.fao.org/aos/agrovoc/c_37916 http://aims.fao.org/aos/agrovoc/c_28080 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_1344 http://aims.fao.org/aos/agrovoc/c_36761 http://aims.fao.org/aos/agrovoc/c_36765 http://aims.fao.org/aos/agrovoc/c_43 http://aims.fao.org/aos/agrovoc/c_1989 http://aims.fao.org/aos/agrovoc/c_9000171 http://aims.fao.org/aos/agrovoc/c_6543 http://aims.fao.org/aos/agrovoc/c_3081 Bley-Dalouman, Hélène Broust, François Tran, Annelise Use of very high spatial resolution imagery for mapping wood energy potential from tropical managed forest stands, Reunion island |
description |
The development of a sustainable wood energy chain is an essential part of ecological and energy transition in Reunion Island (Indian Ocean), where Acacia mearnsii is the main potential wood energy resource identified to date. In order to assess future wood biomass supply chain strategies, a major first issue is to gain knowledge of the spatial distribution of this species forest stands. In this study, we assessed the potential of very high spatial resolution multispectral imagery for mapping the main forest stands in a study area located the Western Highlands region, where Acacia mearnsii expands alongside Acacia heterophylla, an endemic forest species and Cryptomeria japonica, an exotic forest stand. A reference database including 150 samples of seven classes (Acacia mearnsii (mature and non-mature), Acacia heterophylla (mature and non-mature), Cryptomeria japonica, 'herbaceous areas', and 'bare soils') was used to classify a Pleiades image acquired in May 2020. Spectral and textural indices were used in an incremental classification procedure using a random classifier. |
format |
conference_item |
topic_facet |
K01 - Foresterie - Considérations générales U30 - Méthodes de recherche P06 - Sources d'énergie renouvelable bois énergie peuplement forestier forêt tropicale cartographie imagerie par satellite imagerie multispectrale Acacia mearnsii Cryptomeria japonica indice de végétation http://aims.fao.org/aos/agrovoc/c_37916 http://aims.fao.org/aos/agrovoc/c_28080 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_1344 http://aims.fao.org/aos/agrovoc/c_36761 http://aims.fao.org/aos/agrovoc/c_36765 http://aims.fao.org/aos/agrovoc/c_43 http://aims.fao.org/aos/agrovoc/c_1989 http://aims.fao.org/aos/agrovoc/c_9000171 http://aims.fao.org/aos/agrovoc/c_6543 http://aims.fao.org/aos/agrovoc/c_3081 |
author |
Bley-Dalouman, Hélène Broust, François Tran, Annelise |
author_facet |
Bley-Dalouman, Hélène Broust, François Tran, Annelise |
author_sort |
Bley-Dalouman, Hélène |
title |
Use of very high spatial resolution imagery for mapping wood energy potential from tropical managed forest stands, Reunion island |
title_short |
Use of very high spatial resolution imagery for mapping wood energy potential from tropical managed forest stands, Reunion island |
title_full |
Use of very high spatial resolution imagery for mapping wood energy potential from tropical managed forest stands, Reunion island |
title_fullStr |
Use of very high spatial resolution imagery for mapping wood energy potential from tropical managed forest stands, Reunion island |
title_full_unstemmed |
Use of very high spatial resolution imagery for mapping wood energy potential from tropical managed forest stands, Reunion island |
title_sort |
use of very high spatial resolution imagery for mapping wood energy potential from tropical managed forest stands, reunion island |
publisher |
ISPRS |
url |
http://agritrop.cirad.fr/598719/ http://agritrop.cirad.fr/598719/7/598710.pdf |
work_keys_str_mv |
AT bleydaloumanhelene useofveryhighspatialresolutionimageryformappingwoodenergypotentialfromtropicalmanagedforeststandsreunionisland AT broustfrancois useofveryhighspatialresolutionimageryformappingwoodenergypotentialfromtropicalmanagedforeststandsreunionisland AT tranannelise useofveryhighspatialresolutionimageryformappingwoodenergypotentialfromtropicalmanagedforeststandsreunionisland |
_version_ |
1792500188700475392 |