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Earth observation as a tool for tracking progress towards the Aichi Biodiversity Targets / Brian O’Connor in Remote sensing in ecology and conservation, vol 1 n° 1 (October 2015)    

Public [article]  inRemote sensing in ecology and conservation > vol 1 n° 1 (October 2015) . - pp 19 - 28 Titre : Earth observation as a tool for tracking progress towards the Aichi Biodiversity Targets Type de document : Article/Communication Auteurs : Brian O’Connor, Auteur ; Cristina Secades, Auteur ; Jonathan Penner, Auteur ; Ruth Sonnenschein, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 19 - 28 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] biodiversité [Termes IGN] changement climatique [Termes IGN] indicateur de biodiversité [Termes IGN] occupation du sol [Termes IGN] télédétection [Vedettes matières IGN] Végétation et changement climatique Résumé : (auteur) Biodiversity is continuing to decline. This crisis has been recognised by the Convention on Biological Diversity (CBD), whose members have set ambitious targets to avert ongoing declines in the state of biodiversity by 2020. These so called “Aichi Biodiversity Targets” (ABTs) are organized around five strategic goals, with indicators showing the level of progress made towards each target. Currently, measurements of many ABT indicators are not available. The Essential Biodiversity Variable (EBV) framework, developed by the Group on Earth Observations Biodiversity Observation Network (GEO BON), attempts to form a coherent and harmonised set of observations of biodiversity. In this paper, we explore the potential role of Earth Observation (EO) as a tool to support biodiversity monitoring against the ABT and EBV frameworks. We show that EO-based measurements are adequate for assessing progress towards 11 out of 20 ABTs. In addition, 14 of the 22 candidate EBVs have a fully or partly remotelysensed component and can be considered as Remote Sensing Essential Biodiversity Variables (RS-EBVs). Those with a partial EO component require further in-situ data and/or modelling effort to complete the EBV. While the status of biodiversity can be assessed with both fully and partly measured RS-EBVs, assessing trends is more challenging, particularly for partly measured RS-EBVs, as coincident time series of EO and supporting data are lacking. A synthetic pathway for developing generic biodiversity indicators using RS-EBVs is proposed. Numéro de notice : A2015--100 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET Nature : Article DOI : 10.1002/rse2.4 En ligne : http://doi.org/10.1002/rse2.4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=87169 [article]

Documents numériques

en open access Earth observation as a tool for tracking progress - pdf éditeur Adobe Acrobat PDF

High-resolution forest canopy height estimation in an African blue carbon ecosystem / David Lagomasino in Remote sensing in ecology and conservation, vol 1 n° 1 (October 2015)    

Public [article]  inRemote sensing in ecology and conservation > vol 1 n° 1 (October 2015) . - pp 51 - 60 Titre : High-resolution forest canopy height estimation in an African blue carbon ecosystem Type de document : Article/Communication Auteurs : David Lagomasino, Auteur ; Temilola Fatoyinbo, Auteur ; Seung-Kuk Lee, Auteur ; Marc Simard, Auteur Année de publication : 2015 Article en page(s) : pp 51 - 60 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] biomasse [Termes IGN] données localisées 3D [Termes IGN] estimation statistique [Termes IGN] hauteur des arbres [Termes IGN] mangrove [Termes IGN] MNS SRTM [Termes IGN] Mozambique Résumé : (auteur) Mangrove forests are one of the most productive and carbon dense ecosystems that are only found at tidally inundated coastal areas. Forest canopy height is an important measure for modeling carbon and biomass dynamics, as well as land cover change. By taking advantage of the flat terrain and dense canopy cover, the present study derived digital surface models (DSMs) using stereo-photogrammetric techniques on high-resolution spaceborne imagery (HRSI) for southern Mozambique. A mean-weighted ground surface elevation factor was subtracted from the HRSI DSM to accurately estimate the canopy height in mangrove forests in southern Mozambique. The mean and H100 tree height measured in both the field and with the digital canopy model provided the most accurate results with a vertical error of 1.18-1.84 m, respectively. Distinct patterns were identified in the HRSI canopy height map that could not be discerned from coarse shuttle radar topography mission canopy maps even though the mode and distribution of canopy heights were similar over the same area. Through further investigation, HRSI DSMs have the potential of providing a new type of three-dimensional dataset that could serve as calibration/validation data for other DSMs generated from spaceborne datasets with much larger global coverage. HSRI DSMs could be used in lieu of Lidar acquisitions for canopy height and forest biomass estimation, and be combined with passive optical data to improve land cover classifications. Numéro de notice : A2015--101 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1002/rse2.3 En ligne : http://doi.org/10.1002/rse2.3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=87170 [article]

Documents numériques

en open access High-resolution forest canopy height estimation - pdf éditeur Adobe Acrobat PDF