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Near-real time forecasting and change detection for an open ecosystem with complex natural dynamics / Jasper A. Slingsby in ISPRS Journal of photogrammetry and remote sensing, vol 166 (August 2020)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 166 (August 2020) . - pp 15 - 25 Titre : Near-real time forecasting and change detection for an open ecosystem with complex natural dynamics Type de document : Article/Communication Auteurs : Jasper A. Slingsby, Auteur ; Glenn R. Moncrieff, Auteur ; Adam M. Wilson, Auteur Année de publication : 2020 Article en page(s) : pp 15 - 25 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] approche hiérarchique [Termes descripteurs IGN] biodiversité [Termes descripteurs IGN] classification bayesienne [Termes descripteurs IGN] détection de changement [Termes descripteurs IGN] écosystème [Termes descripteurs IGN] incendie [Termes descripteurs IGN] internet interactif [Termes descripteurs IGN] Le Cap [Termes descripteurs IGN] milieu naturel [Termes descripteurs IGN] modèle dynamique [Termes descripteurs IGN] Normalized Difference Vegetation Index [Termes descripteurs IGN] surveillance de la végétation [Termes descripteurs IGN] surveillance écologique Résumé : (auteur) Managing fire, water, biodiversity and carbon stocks can greatly benefit from early warning of changes in the state of vegetation. While near-real time tools to detect forest change based on satellite remote sensing exist, these ecosystems have relatively stable natural vegetation dynamics. Open (i.e. non-forest) ecosystems like grasslands, savannas and shrublands are more challenging as they show complex natural dynamics due to factors such as fire, postfire recovery, greater contribution of bare soil to observed vegetation indices, as well as high sensitivity to rainfall and strong seasonality. Tools to aid the management of open ecosystems are desperately required as they dominate much of the globe and harbour substantial biodiversity and carbon. We present an innovative approach that overcomes the difficulties posed by open ecosystems by using a spatio-temporal hierarchical Bayesian model that uses data on climate, topography, soils and fire history to generate ecological forecasts of the expected land surface signal under natural conditions. This allows us to monitor and detect abrupt or gradual changes in the state of an ecosystem in near-real time by identifying areas where the observed vegetation signal has deviated from the expected natural variation. We apply our approach to a case study from the hyperdiverse fire-dependent African shrubland, the fynbos of the Cape Floristic Region, a Global Biodiversity Hotspot and UNESCO World Heritage Site that faces a number of threats to vegetation health and ecosystem function. The case study demonstrates that our approach is useful for identifying a range of change agents such as fire, alien plant species invasions, drought, pathogen outbreaks and clearing of vegetation. We describe and provide our full workflow, including an interactive web application. Our approach is highly versatile, allowing us to collect data on the impacts of change agents for research in ecology and earth system science, and to predict aspects of ecosystem structure and function such as biomass, fire return interval and the influence of vegetation on hydrology Numéro de notice : A2020-349 Thématique : BIODIVERSITE/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2020.05.017 date de publication en ligne : 05/06/2020 En ligne : https://doi.org/10.1016/j.isprsjprs.2020.05.017 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95231 [article]

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Reintroduction of the European bison (Bison bonasus) in central-eastern Europe: a case study / Cathlin M. Lord in International journal of geographical information science IJGIS, vol 34 n° 8 (August 2020)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 34 n° 8 (August 2020) . - pp 1628 - 1647 Titre : Reintroduction of the European bison (Bison bonasus) in central-eastern Europe: a case study Type de document : Article/Communication Auteurs : Cathlin M. Lord, Auteur ; Kylie P. Wirebach, Auteur ; Jennifer Tompkins, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 1628 - 1647 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes descripteurs IGN] analyse multicritère [Termes descripteurs IGN] analyse spatiale [Termes descripteurs IGN] biodiversité [Termes descripteurs IGN] combinaison linéaire ponderée [Termes descripteurs IGN] écosystème [Termes descripteurs IGN] Europe centrale [Termes descripteurs IGN] faune [Termes descripteurs IGN] habitat animal [Termes descripteurs IGN] Lettonie [Termes descripteurs IGN] politique de conservation (biodiversité) [Termes descripteurs IGN] Pologne [Termes descripteurs IGN] population animale [Termes descripteurs IGN] processus d'analyse hiérarchisée Résumé : (auteur) European bison (Bison bonasus), a flagship species for the burgeoning re-wildling movement, faced challenges common to large mammals globally. These include deforestation, land use conversion, poaching, and a lack of genetic diversity. Despite these limitations, organizations such as Rewilding Europe seek to reintroduce the species to its historic range. This study focused on finding suitable reintroduction locations for a population of at least 120 individuals. Through GIS-based multi-criteria decision-making using weighted linear combination and analytical hierarchy process, a model based on known bison habitat preferences, human-centered habitat constraints, and surface geography was used to identify regions large enough to accommodate a new herd. The study area included central-eastern Europe Union countries, specifically Germany, Poland, Lithuania, and Latvia. The model identified several highly suitable regions large enough to support a new herd, with the most optimal located in Poland. Highly suitable areas represented 2.7% of the study region. Relative isolation of suitable regions reinforced the challenges of promoting gene flow between reintroduced European bison herds. This model can be replicated in other conservation planning contexts, including reintroduction of large herbivores considering anthropogenic, ecological, and physical conditions. Numéro de notice : A2020-408 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2019.1672876 date de publication en ligne : 10/10/2019 En ligne : https://doi.org/10.1080/13658816.2019.1672876 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95467 [article]

GIS-based MCDM – AHP modeling for flood susceptibility mapping of arid areas, southeastern Tunisia / Dhekra Souissi in Geocarto international, vol 35 n° 9 ([01/07/2020])  

Public [article]  inGeocarto international > vol 35 n° 9 [01/07/2020] . - pp 991 - 1017 Titre : GIS-based MCDM – AHP modeling for flood susceptibility mapping of arid areas, southeastern Tunisia Type de document : Article/Communication Auteurs : Dhekra Souissi, Auteur ; Lahcen Zouhri, Auteur ; Salma Hammami, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 991 - 1017 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes descripteurs IGN] analyse de sensibilité [Termes descripteurs IGN] analyse multicritère [Termes descripteurs IGN] cartographie des risques [Termes descripteurs IGN] inondation [Termes descripteurs IGN] processus d'analyse hiérarchisée [Termes descripteurs IGN] système d'information géographique [Termes descripteurs IGN] Tunisie [Termes descripteurs IGN] zone aride Résumé : (auteur) Numéro de notice : A2020-400 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2019.1566405 date de publication en ligne : 14/06/2019 En ligne : https://doi.org/10.1080/10106049.2019.1566405 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95436 [article]

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Long time-series remote sensing analysis of the periodic cycle evolution of the inlets and ebb-tidal delta of Xincun Lagoon, Hainan Island, China / Huaguo Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 165 (July 2020)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 165 (July 2020) . - pp 67 - 85 Titre : Long time-series remote sensing analysis of the periodic cycle evolution of the inlets and ebb-tidal delta of Xincun Lagoon, Hainan Island, China Type de document : Article/Communication Auteurs : Huaguo Zhang, Auteur ; Dongling Li, Auteur ; Juan Wang, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 67 - 85 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] cyclone [Termes descripteurs IGN] delta [Termes descripteurs IGN] fond marin [Termes descripteurs IGN] Hainan (Chine) [Termes descripteurs IGN] lagune [Termes descripteurs IGN] marée océanique [Termes descripteurs IGN] marégraphie [Termes descripteurs IGN] message d'alerte [Termes descripteurs IGN] modèle conceptuel de données spatio-temporelles [Termes descripteurs IGN] précipitation [Termes descripteurs IGN] sable [Termes descripteurs IGN] série temporelle [Termes descripteurs IGN] surveillance du littoral [Termes descripteurs IGN] variation temporelle Résumé : (auteur) Coastal lagoon–tidal inlet systems occur worldwide, and each has its own unique evolution characteristics in relation to its geographical location, sediment characteristics, and tidal current and ocean wave conditions. However, insufficient observation data means that it is often difficult to fully understand the long-term and short-term evolution of ebb-tidal deltas, and it is even more difficult to monitor and warn against their evolution. This study uses long time-series remote sensing data for the period 1962–2018 to investigate the evolution of an ebb-tidal delta in Xincun Lagoon, Hainan Island, China. Four shoal-sandbar breaching and tidal-inlet migration events were observed, and the corresponding periodic variation characteristics of the ebb-tidal delta were documented. A conceptual model for the periodic evolution of ebb-tidal deltas was also proposed. The results showed that the long-period (15–20 years) evolution was controlled by the effects of seabed friction and tidal-scale lagoon resonance, while the changes in the length of the east sand-spit could be used as a significant early warning indicator for shoal-sandbar breaching and tidal-inlet migration events. In addition, both types of event were jointly triggered by typhoon storm-surges and the accompanying heavy rainfall, strong winds, and strong waves. Thus, the periodic evolution process of the ebb-tidal delta in Xincun Lagoon was determined to be a systematic process that is either controlled or influenced by a series of interconnecting factors. Moreover, we concluded that it is both feasible and valuable to establish a monitoring and early warning framework of ebb-tidal deltas through the use of time-series remote sensing images. The results of this study can improve the existing understanding of the processes and driving factors of periodic shoal-sandbar breaching and tidal-inlet migration, and can also increase safety nourishment for coastal lagoon–tidal inlet systems. Numéro de notice : A2020-348 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2020.05.006 date de publication en ligne : 26/05/2020 En ligne : https://doi.org/10.1016/j.isprsjprs.2020.05.006 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95230 [article]

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Mapping the French green infrastructure – an exercise in homogenizing heterogeneous regional data / Lucille Billon in International journal of cartography, Vol 6 n° 2 (July 2020)  

Public [article]  inInternational journal of cartography > Vol 6 n° 2 (July 2020) . - pp 241 - 262 Titre : Mapping the French green infrastructure – an exercise in homogenizing heterogeneous regional data Type de document : Article/Communication Auteurs : Lucille Billon, Auteur ; Cécile Duchêne , Auteur ; Sandrine Gomes, Auteur ; Arnaud Grégoire, Auteur ; Mathilde Kremp, Auteur ; Sébastien Mustière , Auteur ; Romain Sordello, Auteur Année de publication : 2020 Projets : 1-Pas de projet / Article en page(s) : pp 241 - 262 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes descripteurs IGN] carte thématique [Termes descripteurs IGN] données hétérogènes [Termes descripteurs IGN] écosystème [Termes descripteurs IGN] généralisation cartographique automatisée [Termes descripteurs IGN] harmonisation des données [Termes descripteurs IGN] région [Termes descripteurs IGN] trame verte et bleue Résumé : (auteur) To preserve and restore ecosystems, public environmental policies on the international level now encourage the creation of Green Infrastructure, i.e. networks composed of areas where animal and vegetal species can live (habitat patches) and corridors to circulate between them. In France, each regions, the first subnational administrative level, identified existing habitat patches and corridors in their territories using flexible guidelines. This resulted in heterogeneous data, raising the question of their consistent mapping at a supra-regional level. To answer this question, this study first focuses on the habitat patches of two adjacent regions and explores three ways of homogenizing the map. The first method consists in generalizing the more detailed data using morphologic operators. The second method consists in graphically refining the less detailed data by filling the areas with patterns taken from the more detailed data. The third method consists in drastically changing the level of abstraction of the data from both regions by rasterizing the space. Based on those experiments, we applied the most appropriate method to data collected by all the regions of continental France, a step which itself raises new issues concerning data harmonization and parameters settings. Numéro de notice : A2020-374 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/23729333.2020.1717843 date de publication en ligne : 01/03/2020 En ligne : https://doi.org/10.1080/23729333.2020.1717843 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95306 [article]

Using spectral indices to estimate water content and GPP in sphagnum moss and other peatland vegetation / Kirsten J. Lees in IEEE Transactions on geoscience and remote sensing, vol 58 n° 7 (July 2020)  

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An integrated approach for detection and prediction of greening situation in a typical desert area in China and its human and climatic factors analysis / Lei Zhou in ISPRS International journal of geo-information, vol 9 n° 6 (June 2020)  

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Improved optical image matching time series inversion approach for monitoring dune migration in North Sinai Sand Sea: Algorithm procedure, application, and validation / Eslam Ali in ISPRS Journal of photogrammetry and remote sensing, vol 164 (June 2020)  

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Lack of effect of admixture proportion and tree density on water acquisition depth for European beech (Fagus sylvatica L.) and sycamore maple (Acer pseudoplatanus L.) / Alexandre Fruleux in Annals of Forest Science [en ligne], Vol 77 n° 2 (June 2020)  

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Comment cartographier l’occupation du sol en vue de modéliser les réseaux écologiques ? Méthodologie générale et cas d’étude en Île-de-France / Chloé Thierry in Sciences, eaux & territoires, article hors-série n° 65 (mai 2020)  

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Mapping urban grey and green structures for liveable cities using a 3D enhanced OBIA approach and vital statistics / E. Banzhaf in Geocarto international, vol 35 n° 6 ([01/05/2020])  

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Advancements in web‐mapping tools for land use and marine spatial planning / Ainhoa González in Transactions in GIS, Vol 24 n° 2 (April 2020)  

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Conterminous United States land cover change patterns 2001–2016 from the 2016 National Land Cover Database / Collin Homer in ISPRS Journal of photogrammetry and remote sensing, vol 162 (April 2020)  

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A Fusion Approach for Water Area Classification Using Visible, Near Infrared and Synthetic Aperture Radar for South Asian Conditions / Shahryar K. Ahmad in IEEE Transactions on geoscience and remote sensing, vol 58 n° 4 (April 2020)  

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Spatiotemporal variation of NDVI in the vegetation growing season in the source region of the yellow river, China / Mingyue Wang in ISPRS International journal of geo-information, vol 9 n° 4 (April 2020)  

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