Centre dedocumentation
scientifique

Wide-area near-real-time monitoring of tropical forest degradation and deforestation using Sentinel-1 / Dirk Hoekman in Remote sensing, vol 12 n° 19 (October 2020)  

Public [article]  inRemote sensing > vol 12 n° 19 (October 2020) . - 32 p. Titre : Wide-area near-real-time monitoring of tropical forest degradation and deforestation using Sentinel-1 Type de document : Article/Communication Auteurs : Dirk Hoekman, Auteur ; Boris Kooij, Auteur ; Marcela J. Quiñones, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : 32 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] Amazonie [Termes descripteurs IGN] Bornéo, île de [Termes descripteurs IGN] déboisement [Termes descripteurs IGN] dégradation de l'environnement [Termes descripteurs IGN] détection de changement [Termes descripteurs IGN] forêt tropicale [Termes descripteurs IGN] image radar [Termes descripteurs IGN] image Sentinel-SAR [Termes descripteurs IGN] image TerraSAR-X [Termes descripteurs IGN] modèle physique [Termes descripteurs IGN] série temporelle [Termes descripteurs IGN] surveillance forestière [Termes descripteurs IGN] tourbière Résumé : (auteur) The use of Sentinel-1 (S1) radar for wide-area, near-real-time (NRT) tropical-forest-change monitoring is discussed, with particular attention to forest degradation and deforestation. Since forest change can relate to processes ranging from high-impact, large-scale conversion to low-impact, selective logging, and can occur in sites having variable topographic and environmental properties such as mountain slopes and wetlands, a single approach is insufficient. The system introduced here combines time-series analysis of small objects identified in S1 data, i.e., segments containing linear features and apparent small-scale disturbances. A physical model is introduced for quantifying the size of small (upper-) canopy gaps. Deforestation detection was evaluated for several forest landscapes in the Amazon and Borneo. Using the default system settings, the false alarm rate (FAR) is very low (less than 1%), and the missed detection rate (MDR) varies between 1.9% ± 1.1% and 18.6% ± 1.0% (90% confidence level). For peatland landscapes, short radar detection delays up to several weeks due to high levels of soil moisture may occur, while, in comparison, for optical systems, detection delays up to 10 months were found due to cloud cover. In peat swamp forests, narrow linear canopy gaps (road and canal systems) could be detected with an overall accuracy of 85.5%, including many gaps barely visible on hi-res SPOT-6/7 images, which were used for validation. Compared to optical data, subtle degradation signals are easier to detect and are not quickly lost over time due to fast re-vegetation. Although it is possible to estimate an effective forest-cover loss, for example, due to selective logging, and results are spatiotemporally consistent with Sentinel-2 and TerraSAR-X reference data, quantitative validation without extensive field data and/or large hi-res radar datasets, such as TerraSAR-X, remains a challenge. Numéro de notice : A2020-633 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.3390/rs12193263 date de publication en ligne : 08/10/2020 En ligne : https://doi.org/10.3390/rs12193263 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96056 [article]

Applying multi-temporal Landsat satellite data and Markov-cellular automata to predict forest cover change and forest degradation of sundarban reserve forest, Bangladesh / Mohammad Emran Hasan in Forests, vol 11 n° 9 (September 2020)  

Public [article]  inForests > vol 11 n° 9 (September 2020) . - N° 1016 Titre : Applying multi-temporal Landsat satellite data and Markov-cellular automata to predict forest cover change and forest degradation of sundarban reserve forest, Bangladesh Type de document : Article/Communication Auteurs : Mohammad Emran Hasan, Auteur ; Biswajit Nath, Auteur ; A.H.M. Raihan Sarker, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : N° 1016 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] automate cellulaire [Termes descripteurs IGN] Bangladesh [Termes descripteurs IGN] classification par maximum de vraisemblance [Termes descripteurs IGN] couvert forestier [Termes descripteurs IGN] déboisement [Termes descripteurs IGN] dégradation de l'environnement [Termes descripteurs IGN] détection de changement [Termes descripteurs IGN] gestion forestière durable [Termes descripteurs IGN] image Landsat-OLI [Termes descripteurs IGN] image Landsat-TM [Termes descripteurs IGN] mangrove [Termes descripteurs IGN] modèle de Markov [Termes descripteurs IGN] modèle de simulation [Termes descripteurs IGN] occupation du sol [Termes descripteurs IGN] réserve forestière [Termes descripteurs IGN] réserve naturelle [Termes descripteurs IGN] santé des forêts [Termes descripteurs IGN] série temporelle [Termes descripteurs IGN] système d'information géographique Résumé : (auteur) Overdependence on and exploitation of forest resources have significantly transformed the natural reserve forest of Sundarban, which shares the largest mangrove territory in the world, into a great degradation status. By observing these, a most pressing concern is how much degradation occurred in the past, and what will be the scenarios in the future if they continue? To confirm the degradation status in the past decades and reveal the future trend, we took Sundarban Reserve Forest (SRF) as an example, and used satellite Earth observation historical Landsat imagery between 1989 and 2019 as existing data and primary data. Moreover, a geographic information system model was considered to estimate land cover (LC) change and spatial health quality of the SRF from 1989 to 2029 based on the large and small tree categories. The maximum likelihood classifier (MLC) technique was employed to classify the historical images with five different LC types, which were further considered for future projection (2029) including trends based on 2019 simulation results from 1989 and 2019 LC maps using the Markov-cellular automata model. The overall accuracy achieved was 82.30%~90.49% with a kappa value of 0.75~0.87. The historical result showed forest degradation in the past (1989–2019) of 4773.02 ha yr−1, considered as great forest degradation (GFD) and showed a declining status when moving with the projection (2019–2029) of 1508.53 ha yr−1 and overall there was a decline of 3956.90 ha yr−1 in the 1989–2029 time period. Moreover, the study also observed that dense forest was gradually degraded (good to bad) but, conversely, light forest was enhanced, which will continue in the future even to 2029 if no effective management is carried out. Therefore, by observing the GFD, through spatial forest health quality and forest degradation mapping and assessment, the study suggests a few policies that require the immediate attention of forest policy-makers to implement them immediately and ensure sustainable development in the SRF. Numéro de notice : A2020-752 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/f11091016 date de publication en ligne : 21/09/2020 En ligne : https://doi.org/10.3390/f11091016 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96432 [article]

Spatial visualization of quantitative landscape changes in an industrial region between 1827 and 1883. Case study Katowice, southern Poland / Paweł Cybulski in Journal of maps, vol 16 n° 1 ([02/01/2020])  

Public [article]  inJournal of maps > vol 16 n° 1 [02/01/2020] . - pp 77 - 85 Titre : Spatial visualization of quantitative landscape changes in an industrial region between 1827 and 1883. Case study Katowice, southern Poland Type de document : Article/Communication Auteurs : Paweł Cybulski, Auteur ; Lukasz Wielebski, Auteur ; Beata Medyńska-Gulij, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 77 - 85 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes descripteurs IGN] 1:100.000 [Termes descripteurs IGN] analyse spatio-temporelle [Termes descripteurs IGN] carte thématique [Termes descripteurs IGN] dégradation de l'environnement [Termes descripteurs IGN] détection de changement [Termes descripteurs IGN] dix-neuvième siècle [Termes descripteurs IGN] géoréférencement [Termes descripteurs IGN] paysage industriel [Termes descripteurs IGN] Pologne [Termes descripteurs IGN] prospection minérale [Termes descripteurs IGN] système d'information géographique [Termes descripteurs IGN] visualisation cartographique Résumé : (auteur) The aim of the study is to present landscape changes in the nineteenth century in the central part of the Upper Silesian Industrial District, which is the municipality of Katowice (southern Poland). The comparison of changes, particularly components of the geographical environment, is based on two time periods – the year 1827 and 1883. Nineteenth-century maps were georeferenced, digitized and a series of thematic spatial visualizations presenting quantitative changes were generated by means of the Geographic Information System (GIS). The scale of the visualization created is 1:100,000 and the area is 16,400 ha. The spatial visualization of quantitative landscape change shows the development of the anthropogenic pressure in the form of settlement areas, raw materials extraction places, roads, and the decrease of natural environments, such as forests, rivers, and water bodies. These changes were caused mainly by the exploration of underground deposits and the rapidly growing population of Upper Silesia. Numéro de notice : A2020-643 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/17445647.2020.1746416 date de publication en ligne : 04/04/2020 En ligne : https://doi.org/10.1080/17445647.2020.1746416 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96069 [article]

New method for environmental monitoring in armed conflict zones: a case study of Syria / Samira Mobaied in Environmental Monitoring and Assessment, vol 191 n° 11 (November 2019)  

Public [article]  inEnvironmental Monitoring and Assessment > vol 191 n° 11 (November 2019) . - n° 643 Titre : New method for environmental monitoring in armed conflict zones: a case study of Syria Type de document : Article/Communication Auteurs : Samira Mobaied, Auteur ; Jean-Paul Rudant , Auteur Année de publication : 2019 Projets : 1-Pas de projet / Article en page(s) : n° 643 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes descripteurs IGN] base de données d'occupation du sol [Termes descripteurs IGN] cartographie des risques [Termes descripteurs IGN] dégradation de l'environnement [Termes descripteurs IGN] guerre [Termes descripteurs IGN] image Sentinel-MSI [Termes descripteurs IGN] protection de la biodiversité [Termes descripteurs IGN] risque environnemental [Termes descripteurs IGN] Syrie [Termes descripteurs IGN] système d'information géographique [Termes descripteurs IGN] télédétection spatiale [Termes descripteurs IGN] zone à risque Résumé : (auteur) Today, armed conflict affects some twenty countries, covering an area making up 11% of the surface area of the Earth. Any degradation of nature in these areas represents a harmful depletion of the world’s natural heritage. Despite this, environmental issues are neglected during these periods of conflict, considered secondary to the urgency of restoring peace and safeguarding human life. Yet their consequences are potentially severe. In these areas, it is future generations who will suffer the effects of the current devastation for a very long time. In this context, the method developed in this study, named (Geographic Information System) for Environmental Monitoring in Wartime, can be used to calculate a risk indicator for environmental degradation, spatial monitoring and risk management. This will make it possible to identify the main threats to protected areas, catalogue the damage caused to the environment by armed conflicts and create a dynamic risk map. In this paper, GIS-EMW has been applied to calculate a risk indicator for environmental degradation in Syria. Numéro de notice : A2019-509 Affiliation des auteurs : UPEM-LaSTIG+Ext (2016-2019) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s10661-019-7805-5 date de publication en ligne : 10/10/2019 En ligne : https://doi.org/10.1007/s10661-019-7805-5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93794 [article]

Sense City, mini ville sensible expérimentale / Marielle Mayo in Géomètre, n° 2153 (décembre 2017)

Public [article]  inGéomètre > n° 2153 (décembre 2017) . - pp 46 - 48 Titre : Sense City, mini ville sensible expérimentale Type de document : Article/Communication Auteurs : Marielle Mayo, Auteur Année de publication : 2017 Article en page(s) : pp 46 - 48 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Urbanisme [Termes descripteurs IGN] changement climatique [Termes descripteurs IGN] dégradation de l'environnement [Termes descripteurs IGN] lutte contre la pollution [Termes descripteurs IGN] milieu urbain [Termes descripteurs IGN] modélisation environnementale [Termes descripteurs IGN] performance énergétique [Termes descripteurs IGN] phénomène climatique extrême [Termes descripteurs IGN] rayonnement infrarouge thermique [Termes descripteurs IGN] ville intelligente Résumé : (Auteur) Dans l'Est parisien, une mini-ville intelligente, unique en Europe, équipée de nanocapteurs, va servir de laboratoire d'innovations au service de la ville durable. Numéro de notice : A2017-761 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=88792 [article]

Cartographie de la dynamique de terroirs villageois à l’aide d’un drone dans les aires protégées de la République démocratique du Congo / Jean Semeki Ngabinzeke in Bois et forêts des tropiques [en ligne], n° 330 (4e trimestre 2016) 

Permalink

European forest ecosystems : State and trends / European environment agency (2016)    

Permalink

Le manuel du management environnemental / Michel Jonquières (2007)

Permalink

Multi-scale correlations between topography and vegetation in a hillside catchment of Honduras / A. Nelson in International journal of geographical information science IJGIS, vol 21 n° 1-2 (january 2007)

Permalink

The use of optic and radar satellite data for coastal environments / Z.D. Uca in International Journal of Remote Sensing IJRS, vol 27 n° 17 (September 2006)

Permalink

Using satellite imagery and GIS for land-use and land-cover change mapping in an estuarine watershed / X. Yang in International Journal of Remote Sensing IJRS, vol 26 n° 23 (December 2005)

Permalink

High resolution data fusion for land degradation modelling: an environmental problem-solving in the zone of Sahel / A. Dia in GIS Geo-Informations-Systeme, vol 2004 n° 12 (Dezember 2004)

Permalink

Disaster management and e-land management / T. Kötter in GIM international, vol 18 n° 11 (November 2004)

Permalink

Assessing the effects of human-induced land degradation in the former homelands of northern South Africa with a 1 km AVHRR NDVI time-series / K.J. Wessels in Remote sensing of environment, vol 91 n° 1 (15/05/2004)

Permalink

Application of remote sensing to the urban expansion analysis for Nouakchott, Mauritania / W. Wu in Geocarto international, vol 18 n° 1 (March - May 2003)

Permalink