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Uncertainties in tree cover maps of Sub-Saharan Africa and their implications for measuring progress towards CBD Aichi Targets / Dorit Gross in Remote sensing in ecology and conservation, vol 4 n° 2 (June 2018)    

Public [article]  inRemote sensing in ecology and conservation > vol 4 n° 2 (June 2018) Titre : Uncertainties in tree cover maps of Sub-Saharan Africa and their implications for measuring progress towards CBD Aichi Targets Type de document : Article/Communication Auteurs : Dorit Gross, Auteur ; Frédéric Achard, Auteur ; Grégoire Dubois, Auteur ; Andreas Brink, Auteur ; Herbert H.T. Prins, Auteur Année de publication : 2018 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Afrique subsaharienne [Termes IGN] analyse diachronique [Termes IGN] carte forestière [Termes IGN] habitat (nature) [Termes IGN] image Landsat-ETM+ [Termes IGN] image Landsat-TM [Termes IGN] image Terra-MODIS [Termes IGN] incertitude géométrique [Termes IGN] politique de conservation (biodiversité) Résumé : (auteur) The growing access to Earth Observations and processing capabilities have stimulated the production of global and regional products that are commonly used to assess tree-covered habitats and their changes. The popularity of these products has led to their use for defining baselines and to assess progress in conserving natural habitats, in particular, in the context of the conservation targets to 2020 set by the UN Convention on Biological Diversity. In this paper, we reviewed three tree cover products commonly used over Sub-Saharan Africa: (1) MODIS Vegetation Continuous Field percent tree cover map, (2) Global Forest Change map and (3) TREES product. Over a systematic sample of 2045 map subsets, each having a size of 10 × 10 km², we calculated the extent and change of tree cover from each product for the period between 2000 and 2010. Our statistical and spatial comparison shows noticeable discrepancies between the three products, which lead to uncertainties when assessing tree cover across varying ecosystems. These differences are highest in habitats where tree cover is fragmented or reaches medium density levels and overlap with areas of high economic development potential, where habitat changes are likely to occur in the near future. We discuss these findings in the context of using these remotely sensed tree cover products to support current global biodiversity conservation policies. Numéro de notice : A2018-004 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1002/rse2.52 En ligne : https://doi.org/10.1002/rse2.52 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=88737 [article]

Documents numériques

en open access Uncertainties in tree cover maps - pdf éditeur Adobe Acrobat PDF

Remote sensing of forest degradation in Southeast Asia—Aiming for a regional view through 5–30 m satellite data / Jukka Miettinen in Global ecology and conservation, vol 2 (December 2014)  

Public [article]  inGlobal ecology and conservation > vol 2 (December 2014) . - pp 24 - 36 Titre : Remote sensing of forest degradation in Southeast Asia—Aiming for a regional view through 5–30 m satellite data Type de document : Article/Communication Auteurs : Jukka Miettinen, Auteur ; Hans-Jürgen Stibig, Auteur ; Frédéric Achard, Auteur Année de publication : 2014 Article en page(s) : pp 24 - 36 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Asie du sud-est [Termes IGN] forêt tropicale [Termes IGN] image à haute résolution [Termes IGN] image Landsat-ETM+ [Termes IGN] image Sentinel-MSI [Termes IGN] surveillance forestière Résumé : (auteur) In this review paper, we present geographical, ecological and historical aspects of Southeast Asia from the perspective of forest degradation monitoring and critically discuss available approaches for large area forest degradation monitoring with satellite remote sensing data at high to medium spatial resolution (5–30 m). Several authors have achieved promising results in geographically limited areas within Southeast Asia using automated detection algorithms. However, the application of automated methods to large area assessments remains a major challenge. To-date, nearly all large area assessments of forest degradation in the region have included a strong visual interpretation component. We conclude that due to the variety of forest types and forest disturbance levels, as well as the variable image acquisition conditions in Southeast Asia, it is unlikely that forest degradation monitoring can be conducted throughout the region using a single automated approach with currently available remote sensing data. The provision of regionally consistent information on forest degradation from satellite remote sensing data remains therefore challenging. However, the expected increase in observation frequency in the near future (due to Landsat 8 and Sentinel-2 satellites) may lead to the desired improvement in data availability and enable consistent and robust regional forest degradation monitoring in Southeast Asia. Numéro de notice : A2014-762 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1016/j.gecco.2014.07.007 En ligne : http://www.sciencedirect.com/science/article/pii/S2351989414000134 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76413 [article]

Monitoring forest areas from continental to territorial levels using a sample of medium spatial resolution satellite imagery / Hugh Eva in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 2 (March - April 2010)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 65 n° 2 (March - April 2010) . - pp 191 - 197 Titre : Monitoring forest areas from continental to territorial levels using a sample of medium spatial resolution satellite imagery Type de document : Article/Communication Auteurs : Hugh Eva, Auteur ; Silvia Carboni, Auteur ; Frédéric Achard, Auteur ; Nicolas Stach , Auteur ; Laurent Durieux, Auteur ; Jean-François Faure, Auteur ; Danilo Mollicone, Auteur Année de publication : 2010 Article en page(s) : pp 191 - 197 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Amazonie [Termes IGN] déboisement [Termes IGN] forêt tropicale [Termes IGN] Guyane (département français) [Termes IGN] image à moyenne résolution [Termes IGN] image Landsat-TM [Termes IGN] image SPOT-HRV [Termes IGN] inventaire forestier national (données France) Résumé : (auteur) A global systematic sampling scheme has been developed by the UN FAO and the EC TREES project to estimate rates of deforestation at global or continental levels at intervals of 5 to 10 years. This global scheme can be intensified to produce results at the national level. In this paper, using surrogate observations, we compare the deforestation estimates derived from these two levels of sampling intensities (one, the global, for the Brazilian Amazon and the other, national, for French Guiana) to estimates derived from the official inventories. We also report the precisions that are achieved due to sampling errors and, in the case of French Guiana, compare such precision with the official inventory precision. We extract nine sample data sets from the official wall-to-wall deforestation map derived from satellite interpretations produced for the Brazilian Amazon for the year 2002 to 2003. This global sampling scheme estimate gives 2.81 million ha of deforestation (mean from nine simulated replicates) with a standard error of 0.10 million ha. This compares with the full population estimate from the wall-to-wall interpretations of 2.73 million ha deforested, which is within one standard error of our sampling test estimate. The relative difference between the mean estimate from sampling approach and the full population estimate is 3.1%, and the standard error represents 4.0% of the full population estimate. This global sampling is then intensified to a territorial level with a case study over French Guiana to estimate deforestation between the years 1990 and 2006. For the historical reference period, 1990, Landsat-5 Thematic Mapper data were used. A coverage of SPOT-HRV imagery at 20 m × 20 m resolution acquired at the Cayenne receiving station in French Guiana was used for year 2006. Our estimates from the intensified global sampling scheme over French Guiana are compared with those produced by the national authority to report on deforestation rates under the Kyoto protocol rules for its overseas department. The latter estimates come from a sample of nearly 17,000 plots analyzed from same spatial imagery acquired between year 1990 and year 2006. This sampling scheme is derived from the traditional forest inventory methods carried out by IFN (Inventaire Forestier National). Our intensified global sampling scheme leads to an estimate of 96,650 ha deforested between 1990 and 2006, which is within the 95% confidence interval of the IFN sampling scheme, which gives an estimate of 91,722 ha, representing a relative difference from the IFN of 5.4%. These results demonstrate that the intensification of the global sampling scheme can provide forest area change estimates close to those achieved by official forest inventories ( Numéro de notice : A2010-695 Affiliation des auteurs : IFN+Ext (1958-2011) Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1016/j.isprsjprs.2009.10.008 Date de publication en ligne : 24/11/2009 En ligne : https://doi.org/10.1016/j.isprsjprs.2009.10.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100145 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2010021	SL	Revue	Centre de documentation	Revues en salle	Disponible

Mapping of the tropical forest cover of insular Southeast Asia from SPOT-4 Vegetation images / Hans-Jürgen Stibig in International Journal of Remote Sensing IJRS, vol 24 n° 18 (September 2003)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 24 n° 18 (September 2003) . - pp 3651 - 3662 Titre : Mapping of the tropical forest cover of insular Southeast Asia from SPOT-4 Vegetation images Type de document : Article/Communication Auteurs : Hans-Jürgen Stibig, Auteur ; R. Beuchle, Auteur ; Frédéric Achard, Auteur Année de publication : 2003 Article en page(s) : pp 3651 - 3662 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse diachronique [Termes IGN] Asie du sud-est [Termes IGN] carte de la végétation [Termes IGN] classification automatique [Termes IGN] forêt tropicale [Termes IGN] image Landsat-TM [Termes IGN] image SPOT-Végétation [Termes IGN] occupation du sol [Termes IGN] onde électromagnétique [Termes IGN] rayonnement proche infrarouge Résumé : (Auteur) The objective of this study was to refine the methodology for a regional assessment of tropical forest cover in insular Southeast Asia from coarse resolution satellite images. SPOT4-Vegetafion 10-day composites from 1998 to 2000 were used for the generation of a cloud free sub-regional mosaic image. Pixel selection was based on minimum values in the short-wave (monthly composites) and near-infrared spectral bands (annual composites), providing a maximum discrimination between forest and non-forest. A forest cover map was derived from digital classification of the dataset. The classification result was validated by comparison with the interpretation of 19 Landsat Thematic Mapper (TM) reference sites distributed over the sub-region. Forest area estimates were derived from the map and compared to Forest Resources Assessment 2000 data compiled by the Food and Agricultural Organization (FAO) of the United Nations. Results show that the new coarse resolution satellite sensor can provide sufficient information for mapping of tropical forest cover at the regional and sub-regional level. Numéro de notice : A2003-263 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116021000024113 En ligne : https://doi.org/10.1080/0143116021000024113 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22558 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-03181	RAB	Revue	Centre de documentation	En réserve L003	Disponible

L'instrument Végétation à bord de Spot-IV [Spot 4] / Frédéric Achard (1992)

Public Titre : L'instrument Végétation à bord de Spot-IV [Spot 4] : une mission pour le suivi à l'échelle globale de la biosphère continentale Type de document : Rapport Auteurs : Frédéric Achard, Auteur ; J.P. Malingreau, Auteur ; T. Phulpin, Auteur ; G. Saint, Auteur ; B. Saugier, Auteur ; B. Seguin, Auteur ; D. Vidal-Madjar, Auteur Editeur : Ispra [Italie] : Joint Research Centre JRC Année de publication : 1992 Importance : 91 p. Format : 21 x 30 cm Langues : Français (fre) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] biosphère [Termes IGN] capteur spatial [Termes IGN] climatologie [Termes IGN] étude de faisabilité [Termes IGN] image SPOT-Végétation [Termes IGN] indice de végétation [Termes IGN] masse végétale [Termes IGN] production agricole végétale [Termes IGN] SPOT4 [Termes IGN] Vegetation (capteur) Index. décimale : 35.13 Prises de vues par capteurs spatiaux Numéro de notice : 30083 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Rapport Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=42174

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
30083-02	35.13	Livre	Centre de documentation	En réserve M-103	Disponible
30083-01	35.13	Livre	Centre de documentation	En réserve M-103	Disponible

Analysis of vegetation seasonal evolution and mapping of forest cover in West Africa with the use of NOAA AVHRR HRPT data / Frédéric Achard in Photogrammetric Engineering & Remote Sensing, PERS, vol 56 n° 10 (october 1990)  

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Etudes des rythmes saisonniers de la végétation en Afrique de l'ouest par télédétection spatiale / Frédéric Achard (1989)

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