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Review of spectral indices for urban remote sensing / Akib Javed in Photogrammetric Engineering & Remote Sensing, PERS, vol 87 n° 7 (July 2021)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 87 n° 7 (July 2021) . - pp 513 - 524 Titre : Review of spectral indices for urban remote sensing Type de document : Article/Communication Auteurs : Akib Javed, Auteur ; Qimin Cheng, Auteur ; Hao Peng, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 513 - 524 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] bande spectrale [Termes IGN] classification non dirigée [Termes IGN] détection du bâti [Termes IGN] indice de détection [Termes IGN] milieu urbain [Termes IGN] occupation du sol [Termes IGN] surface imperméable Résumé : (Auteur) Urban spectral indices have made promising improvements in the last two decades in urban land use land cover studies through mapping, estimation, change detection, time-series analyzing, urban dynamics, monitoring, modeling, and so on. Remote sensing spectral indices are unsupervised, unbiased, rapid, scalable, and quantitative in information extraction. Hence, we aimed to summarize the most relevant urban spectral indices by focusing on multispectral, thermal, and nighttime lights indices. We use the search terms "urban index", "built-up index", "normalized difference built-up area (NDBI )", "impervious surface index", and "spectral urban index" to collect relevant literature from the "Web of Science Core Collection" database. We found that all urban spectral indices developed since 2003, except NDBI. This review will help understand the applications of urban spectral indices, the selection of indices based on available spectral bands, and their merits and demerits. Numéro de notice : A2021-572 Affiliation des auteurs : non IGN Thématique : IMAGERIE/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.87.7.513 Date de publication en ligne : 01/07/2021 En ligne : https://doi.org/10.14358/PERS.87.7.513 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98167 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
105-2021071	SL	Revue	Centre de documentation	Revues en salle	Disponible

Transferability of multi- and hyperspectral optical biocrust indices / Emilio Rodríguez-Caballero in ISPRS Journal of photogrammetry and remote sensing, vol 126 (April 2017)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 126 (April 2017) . - pp 94 – 107 Titre : Transferability of multi- and hyperspectral optical biocrust indices Type de document : Article/Communication Auteurs : Emilio Rodríguez-Caballero, Auteur ; P. Escribano, Auteur ; C. Olehowski, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 94 – 107 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] biomasse [Termes IGN] classification dirigée [Termes IGN] état de surface du sol [Termes IGN] image hyperspectrale [Termes IGN] indice de détection [Termes IGN] surface du sol Résumé : (auteur) Biological soil crusts (biocrusts) are communities of cyanobacteria, algae, microfungi, lichens and bryophytes in varying proportions, which live within or immediately on top of the uppermost millimeters of the soil in arid and semiarid regions. As biocrusts are highly relevant for ecosystem processes like carbon, nitrogen, and water cycling, a correct characterization of their spatial distribution is required. Following this objective, considerable efforts have been devoted to the identification and mapping of biocrusts using remote sensing data, and several mapping indices have been developed. However, their transferability to different regions has only rarely been tested. In this study we investigated the transferability of two multispectral indices, i.e. the Crust Index (CI) and the Biological Soil Crust Index (BSCI), and two hyperspectral indices, i.e. the Continuum Removal Crust Identification Algorithm (CRCIA) and the Crust Development Index (CDI), in three sites dominated by biocrusts, but with differences in soil and vegetation composition. Whereas multispectral indices have been important and valuable tools for first approaches to map and classify biological soil crusts, hyperspectral data and indices developed for these allowed to classify biocrusts at much higher accuracy. While multispectral indices showed Kappa (κ) values below 0.6, hyperspectral indices obtained good classification accuracy (κ ∼ 0.8) in both the study area where they had been developed and in the newly tested region. These results highlight the capability of hyperspectral sensors to identify specific absorption features related to photosynthetic pigments as chlorophyll and carotenoids, but also the limitation of multispectral information to discriminate between areas dominated by biocrusts, vegetation or bare soil. Based on these results we conclude that remote sensing offers an important and valid tool to map biocrusts. However, the spectral similarity between the main surface components of drylands and biocrusts demand for mapping indices based on hyperspectral information to correctly map areas dominated by biocrusts at ecosystem scale. Numéro de notice : A2017-115 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2017.02.007 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2017.02.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84510 [article]

Exemplaires(3)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2017041	RAB	Revue	Centre de documentation	En réserve L003	Disponible
081-2017043	DEP-EXM	Revue	LASTIG	Dépôt en unité	Exclu du prêt
081-2017042	DEP-EAF	Revue	Nancy	Dépôt en unité	Exclu du prêt

Novel shape indices for vector landscape pattern analysis / C. Zhang in International journal of geographical information science IJGIS, vol 30 n° 11-12 (November - December 2016)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 30 n° 11-12 (November - December 2016) . - pp 2442 - 2461 Titre : Novel shape indices for vector landscape pattern analysis Type de document : Article/Communication Auteurs : C. Zhang, Auteur ; Peter M. Atkinson, Auteur Année de publication : 2016 Article en page(s) : pp 2442 - 2461 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse de données [Termes IGN] anisotropie [Termes IGN] données vectorielles [Termes IGN] indice de détection [Termes IGN] interprétation automatique [Termes IGN] rectangle englobant minimum [Termes IGN] représentation des données [Termes IGN] traitement automatique de données Résumé : (Auteur) The formation of an anisotropic landscape is influenced by natural and/or human processes, which can then be inferred on the basis of geometric indices. In this study, two minimal bounding rectangles in consideration of the principles of mechanics (i.e. minimal width bounding (MWB) box and moment bounding (MB) box) were introduced. Based on these boxes, four novel shape indices, namely MBLW (the length-to-width ratio of MB box), PAMBA (area ratio between patch and MB box), PPMBP (perimeter ratio between patch and MB box) and ODI (orientation difference index between MB and MWB boxes), were introduced to capture multiple aspects of landscape features including patch elongation, patch compactness, patch roughness and patch symmetry. Landscape pattern was, thus, quantified by considering both patch directionality and patch shape simultaneously, which is especially suitable for anisotropic landscape analysis. The effectiveness of the new indices were tested with real landscape data consisting of three kinds of saline soil patches (i.e. the elongated shaped slightly saline soil class, the circular or half-moon shaped moderately saline soil, and the large and complex severely saline soil patches). The resulting classification was found to be more accurate and robust than that based on traditional shape complexity indices. Numéro de notice : A2016-757 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2016.1179313 En ligne : http://dx.doi.org/10.1080/13658816.2016.1179313 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82422 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-2016061	RAB	Revue	Centre de documentation	En réserve L003	Disponible

An effective morphological index in automatic recognition of built-up area suitable for high spatial resolution images as ALOS and SPOT data / Bo Yu in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 6 (June 2014)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 6 (June 2014) . - pp 529 - 536 Titre : An effective morphological index in automatic recognition of built-up area suitable for high spatial resolution images as ALOS and SPOT data Type de document : Article/Communication Auteurs : Bo Yu, Auteur ; Li Wang, Auteur ; Zheng Niu, Auteur ; Muhammad Shakir, Auteur Année de publication : 2014 Article en page(s) : pp 529 - 536 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] détection du bâti [Termes IGN] image ALOS [Termes IGN] image SPOT [Termes IGN] indice de détection [Termes IGN] morphologie mathématique [Termes IGN] Normalized Difference Vegetation Index Résumé : (Auteur) Building detection from remote sensed images is the main technique to monitor economic or environmental development of an area. Advanced Land Observing Satellite (alos) and SPOT data are reliable sources due to the limitation of weather, position, time, and other practical reasons. However, to the best of our knowledge, algorithms proposed in the identification of buildings mostly aim only at images with very high spatial resolution or high spectral resolution. There are few algorithms for detecting buildings from ALOS and SPOT data. A built-up detection index (BDI) is proposed in this paper to automatically identify buildings from images with 10 meters resolution. It synthesizes morphological theory and normalized differential vegetation index (NDVl) to enhance buildings by suppressing vegetation. Four images of ALOS and SPOT are used to verify the efficiency, stability and accuracy of BDI. Experiments show that BDI is suitable to detect buildings from 10 meters resolution with reliable accuracy. Numéro de notice : A2014-292 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.6.529-536 En ligne : https://doi.org/10.14358/PERS.80.6.529-536 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33195 [article]

Apports des données ALOS PALSAR polarimétriques à la détection des zones humides littorales (Sassandra, Côte d'Ivoire) / Kouakou Hervé Kouassi in Photo interprétation, European journal of applied remote sensing, vol 48 n° 4 (décembre 2012)

Public [article]  inPhoto interprétation, European journal of applied remote sensing > vol 48 n° 4 (décembre 2012) . - pp 67 - 73 Titre : Apports des données ALOS PALSAR polarimétriques à la détection des zones humides littorales (Sassandra, Côte d'Ivoire) Type de document : Article/Communication Auteurs : Kouakou Hervé Kouassi, Auteur ; Yao Alexis N'go, Auteur ; Vincent Tchimou Assoma, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 67 - 73 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse discriminante [Termes IGN] bande L [Termes IGN] Côte d'Ivoire [Termes IGN] décomposition d'image [Termes IGN] données polarimétriques [Termes IGN] forêt [Termes IGN] image ALOS-PALSAR [Termes IGN] indice de détection [Termes IGN] inventaire [Termes IGN] littoral [Termes IGN] mangrove [Termes IGN] zone humide Résumé : (Auteur) Cet article traite de la contribution des données ALOS PALSAR en bande L pour la détection des zones humides. Les indices polarimétriques, à savoir la matrice de cohérence et la décomposition de Yamaguchi, calculés à partir de l'image PALSAR, ont permis de détecter plusieurs types de zones humides. Il s'agit des forêts de mangroves, des forêts marécageuses, des mares et des savanes marécageuses. Numéro de notice : A2012-688 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32134 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
104-2012031	SL	Revue	Centre de documentation	Revues en salle	Exclu du prêt