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Examining the effectiveness of Sentinel-1 and 2 imagery for commercial forest species mapping / Mthembeni Mngadi in Geocarto international, vol 36 n° 1 ([01/01/2021])
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Titre : Examining the effectiveness of Sentinel-1 and 2 imagery for commercial forest species mapping Type de document : Article/Communication Auteurs : Mthembeni Mngadi, Auteur ; John Odindi, Auteur ; Kabir Peerbhay, Auteur ; Onisimo Mutanga, Auteur Année de publication : 2021 Article en page(s) : pp 1 - 12 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes descripteurs IGN] analyse discriminante
[Termes descripteurs IGN] carte forestière
[Termes descripteurs IGN] Eucalyptus (genre)
[Termes descripteurs IGN] image Sentinel-MSI
[Termes descripteurs IGN] image Sentinel-SAR
[Termes descripteurs IGN] KwaZulu-Natal (Afrique du Sud)
[Termes descripteurs IGN] Pinus (genre)
[Termes descripteurs IGN] télédétection spatialeRésumé : (Auteur) The successful launch and operation of the Sentinel satellite platform has provided access to freely available remotely sensed data useful for commercial forest species discrimination. Sentinel – 1 (S1) with a synthetic aperture radar (SAR) sensor and Sentinel – 2 (S2) multi-spectral sensor with additional and strategically positioned bands offer great potential for providing reliable information for discriminating and mapping commercial forest species. In this study, we sought to determine the value of S1 and S2 data characteristics in discriminating and mapping commercial forest species. Using linear discriminant analysis (LDA) algorithm, S2 multi-spectral imagery showed an overall classification accuracy of 84% (kappa = 0.81), with bands such as the red-edge (703.9–740.2 nm), narrow near infrared (835.1–864.8 nm), and short wave infrared (1613.7–2202.4 nm) particularly influential in discriminating individual forest species stands. When Sentinel 2’s spectral wavebands were fused with Sentinel 1’s (SAR) VV and VH polarimetric modes, overall classification accuracies improved to 87% (kappa = 0.83) and 88% (kappa = 0.85), respectively. These findings demonstrate the value of combining Sentinel’s multispectral and SAR structural information characteristics in improving commercial forest species discrimination. These, in addition to the sensors free availability, higher spatial resolution and larger swath width, offer unprecedented opportunities for improved local and large scale commercial forest species discrimination and mapping. Numéro de notice : A2021-050 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2019.1585483 date de publication en ligne : 10/06/2019 En ligne : https://doi.org/10.1080/10106049.2019.1585483 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96719
in Geocarto international > vol 36 n° 1 [01/01/2021] . - pp 1 - 12[article]Modeling the risk of robbery in the city of Tshwane, South Africa / Nicolas Kemp in Cartography and Geographic Information Science, vol 48 n° 1 (January 2021)
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Titre : Modeling the risk of robbery in the city of Tshwane, South Africa Type de document : Article/Communication Auteurs : Nicolas Kemp, Auteur ; Gregory D. Breetzke, Auteur ; Anthony Cooper, Auteur Année de publication : 2021 Article en page(s) : pp 29 - 42 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes descripteurs IGN] Afrique du sud (état)
[Termes descripteurs IGN] criminalité
[Termes descripteurs IGN] modèle de simulation
[Termes descripteurs IGN] modélisation spatiale
[Termes descripteurs IGN] prévention des risques
[Termes descripteurs IGN] sécurité civile
[Termes descripteurs IGN] zone à risqueRésumé : (auteur) In this study, we model the risk of robbery in the City of Tshwane in South Africa. We use the collective knowledge of two prominent spatial theories of crime (social disorganization theory, and crime pattern theory) to guide the selection of data and employ rudimentary geospatial techniques to create a crude model that identifies the risk of future robbery incidents in the city. The model is validated using actual robbery incidences recorded for the city. Overall the model performs reasonably well with approximately 70% of future robbery incidences accurately identified within a small subset of the overall model. Developing countries such as South Africa are in dire need of crime risk intensity models that are simple, and not data intensive to allocate scarce crime prevention resources in a more optimal fashion. It is anticipated that this model is a first step in this regard. Numéro de notice : A2021-017 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2020.1814872 date de publication en ligne : 10/09/2020 En ligne : https://doi.org/10.1080/15230406.2020.1814872 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96455
in Cartography and Geographic Information Science > vol 48 n° 1 (January 2021) . - pp 29 - 42[article]Strategic and Acupunctural GIS Implementation within Community-Oriented Organizations: Evidence-Based Insights from a South African Participatory Action Research for Informal Settlement Upgrading / Jennifer Barella in Cartographica, vol 55 n° 4 (Winter 2020)
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Titre : Strategic and Acupunctural GIS Implementation within Community-Oriented Organizations: Evidence-Based Insights from a South African Participatory Action Research for Informal Settlement Upgrading Type de document : Article/Communication Auteurs : Jennifer Barella, Auteur Année de publication : 2020 Article en page(s) : pp 266 - 280 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes descripteurs IGN] Cape Town
[Termes descripteurs IGN] organisation non gouvernementale
[Termes descripteurs IGN] outil d'aide à la décision
[Termes descripteurs IGN] recensement
[Termes descripteurs IGN] SIG participatifRésumé : (Auteur) This article brings evidence-based insights to support the importance of considering contextual elements when analyzing modalities of GIS implementation within NGOs and community-based organizations. I discuss challenges and unforeseen insights of GIS implementation within an advocacy NGO that supports community claims in an informal settlement of Cape Town’s metropolitan area. Through the lens of empirical data, limitations of the GIS implementation models framework are highlighted. GIS implementation will appear to be “acupunctural” and highly strategic and will unveil the use of GIS-based solutions as relational leverage. Finally, I discuss directions for further scientific research on GIS implementation within NGOs and community-based organizations. Numéro de notice : A2020-776 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3138/cart-2020-0013 date de publication en ligne : 22/12/2020 En ligne : https://doi.org/10.3138/cart-2020-0013 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96691
in Cartographica > vol 55 n° 4 (Winter 2020) . - pp 266 - 280[article]
[article]
Titre : Emplaced distances Type de document : Article/Communication Auteurs : Giovanni Spissu, Auteur Année de publication : 2020 Article en page(s) : pp 261 - 272 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Rédaction cartographique
[Termes descripteurs IGN] art
[Termes descripteurs IGN] Cape Town
[Termes descripteurs IGN] deep map
[Termes descripteurs IGN] ethnographie
[Termes descripteurs IGN] représentation cartographique
[Termes descripteurs IGN] Sardaigne
[Termes descripteurs IGN] territoireRésumé : (auteur) In the Sardinian artist’s Maria Lai’s works, Geografie and Geogafie Spaziali, she depicted the cosmic pathways of the Sardus Pater, using a cartographic representation of one of the island’s most popular legends. One of these works’ key features is the use of embroidery techniques learned from women of her village. She considers the Sardinian territory not only an object of representation but as an expressive medium of her work and a fertile space that generates new worlds. I argue that we can draw on Maria Lai’s work to conceive a particular form of deep mapping through which to explore the territory through its imaginative dimension. For the purpose of this article, I intend to describe how, inspired by Lai’s works, I built Emplaced Distance, a map of Cape Town through the Sardinian territory. Numéro de notice : A2020-805 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00087041.2019.1631006 date de publication en ligne : 21/01/2020 En ligne : https://doi.org/10.1080/00087041.2019.1631006 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96763
in Cartographic journal (the) > Vol 57 n° 3 (August 2020) . - pp 261 - 272[article]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)
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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 écologiqueRésumé : (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 Affiliation des auteurs : non IGN 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
in ISPRS Journal of photogrammetry and remote sensing > vol 166 (August 2020) . - pp 15 - 25[article]Réservation
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