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A comparison of two downscaling procedures to increase the spatial resolution of mapping actual evapotranspiration / Milad Mahour 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 56 – 67 Titre : A comparison of two downscaling procedures to increase the spatial resolution of mapping actual evapotranspiration Type de document : Article/Communication Auteurs : Milad Mahour, Auteur ; Valentyn Tolpekin, Auteur ; Alfred Stein, Auteur ; Ali Sharifi, Auteur Année de publication : 2017 Article en page(s) : pp 56 – 67 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] évapotranspiration [Termes descripteurs IGN] image à moyenne résolution [Termes descripteurs IGN] image Landsat-8 [Termes descripteurs IGN] image MODIS [Termes descripteurs IGN] Iran [Termes descripteurs IGN] irrigation [Termes descripteurs IGN] krigeage [Termes descripteurs IGN] mise à l'échelle [Termes descripteurs IGN] Normalized Difference Vegetation Index [Termes descripteurs IGN] pouvoir de résolution géométrique [Termes descripteurs IGN] température au sol Résumé : (auteur) This research addressed the effects of downscaling cokriging Land Surface Temperature (LST) on estimation of Actual Evapotranspiration (AET) from remote sensing images. Two procedures were followed. We first applied downscaling cokriging to a coarse resolution LST product of MODIS at 1000 m. With its outcome, daily AET of a medium spatial resolution (250 m) was obtained using the Surface Energy Balance System (SEBS). Second, we downscaled a coarse AET map to medium spatial resolution (250 m). For both procedures, the 250 m resolution MODIS NDVI product was used as a co-variable. Validation was carried out using Landsat 8 images, from which LST was derived from the thermal bands. The two procedures were applied to an agricultural area with a traditional irrigation network in Iran. We obtained an average LST value of 305.8 K as compared to a downscaled LST value of 307.0 K. Reference AET estimated with SEBS using Landsat 8 data was equal to 5.756 mm day−1, as compared with a downscaled AET value of 5.571 mm day−1. The RMSE between reference AET and downscaled AET was equal to 1.26 mm day−1 (r = 0.49) and between reference and downscaled LST to 3.67 K (r = 0.48). The study showed that AET values obtained with the two downscaling procedures were similar to each other, but that AET showed a higher spatial variability if obtained with downscaled LST. We concluded that LST had a large effect on producing AET maps from Remote Sensing (RS) images, and that downscaling cokriging was helpful to provide daily AET maps at medium spatial resolution. Numéro de notice : A2017-113 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2017.02.004 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2017.02.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84508 [article]

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Urban slum detection using texture and spatial metrics derived from satellite imagery / Divyani Kohli in Journal of spatial science, vol 61 n° 2 (December 2016)  

Public [article]  inJournal of spatial science > vol 61 n° 2 (December 2016) . - pp 405 - 426 Titre : Urban slum detection using texture and spatial metrics derived from satellite imagery Type de document : Article/Communication Auteurs : Divyani Kohli, Auteur ; Robert Sliuzas, Auteur ; Alfred Stein, Auteur Année de publication : 2016 Article en page(s) : pp 405 - 426 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] analyse d'image orientée objet [Termes descripteurs IGN] détection du bâti [Termes descripteurs IGN] image Quickbird [Termes descripteurs IGN] Maharashtra (Inde ; état) [Termes descripteurs IGN] ontologie [Termes descripteurs IGN] spatial metrics [Termes descripteurs IGN] texture d'image [Termes descripteurs IGN] ville Résumé : (auteur) Slum detection from satellite imagery is challenging due to the variability in slum types and definitions. This research aimed at developing a method for slum detection based on the morphology of the built environment. The method consists of segmentation followed by hierarchical classification using object-oriented image analysis and integrating expert knowledge in the form of a local slum ontology. Results show that textural feature contrast derived from a grey-level co-occurrence matrix was useful for delineating segments of slum areas or parts thereof. Spatial metrics such as the size of segments and proportions of vegetation and built-up were used for slum detection. The percentage of agreement between the reference layer and slum classification was 60 percent. This is lower than the accuracy achieved for land cover classification (80.8 percent), due to large variations. We conclude that the method produces useful results and has potential for successful application in contexts with similar morphology. Numéro de notice : A2016--147 Thématique : IMAGERIE Nature : Article DOI : 10.1080/14498596.2016.1138247 date de publication en ligne : 05/05/2016 En ligne : http://dx.doi.org/10.1080/14498596.2016.1138247 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86334 [article]

Identification and utilization of land-use type importance for land-use data generalization / Wenxiu Gao in Cartographic journal (the), Vol 53 n° 1 (February 2016)  

Public [article]  inCartographic journal (the) > Vol 53 n° 1 (February 2016) . - pp 31 - 42 Titre : Identification and utilization of land-use type importance for land-use data generalization Type de document : Article/Communication Auteurs : Wenxiu Gao, Auteur ; Alfred Stein, Auteur ; Li Yang, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 31 - 42 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] analyse spatiale [Termes descripteurs IGN] attribut [Termes descripteurs IGN] généralisation automatique de données [Termes descripteurs IGN] identification automatique [Termes descripteurs IGN] modèle déterministe [Termes descripteurs IGN] seuillage d'image [Termes descripteurs IGN] utilisation du sol [Vedettes matières IGN] Généralisation Résumé : (Auteur) A proper characterization of land-use types is critical for constructing generalization constraints to guide and control landuse data generalization. This paper focused on identification and utilization of their importance based upon land-use distributions and application themes. First, this importance was identified using a three-step method that links a diversity index, a multiple attribute decision model and a spatial association analysis. Second, with the importance, a mathematical function was designed to determine minimum area thresholds of land-use polygons as an example of generalization constraints. Third, the importance was used to assist in the selection of generalization operators and evaluation of generalization outcomes. Fourth, a land-use dataset at 1:10 000, describing the land use of a typical rural area in Hubei province of China, was generalized towards a 1:50 000 dataset to verify the effects of the presented method and function. Three additional tests were implemented to analyze the sensitivity of the importance of land-use types on setting the minimum area threshold and generalization operations. The outcome showed that the proposed methods and functions make land-use data generalization more adaptable for in-use datasets and applications. Numéro de notice : A2016-413 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern En ligne : http://dx.doi.org/10.1179/1743277413Y.0000000054 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81280 [article]

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Uncertainty modelling and quality control for spatial data / Wenzhong Shi (2016)

Public Titre : Uncertainty modelling and quality control for spatial data Type de document : Monographie Auteurs : Wenzhong Shi, Editeur scientifique ; Bo Wu, Editeur scientifique ; Alfred Stein, Editeur scientifique Editeur : Boca Raton, New York, ... : CRC Press Année de publication : 2016 Collection : Environmental Science Importance : 294 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-1-4987-3328-1 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes descripteurs IGN] données multidimensionnelles [Termes descripteurs IGN] données satellite [Termes descripteurs IGN] incertitude de mesurage [Termes descripteurs IGN] incertitude des données [Termes descripteurs IGN] intégration de données [Termes descripteurs IGN] modèle d'incertitude [Termes descripteurs IGN] qualité des données Index. décimale : 37.10 Bases de données géographiques Résumé : (Editeur) Focused on major research relative to spatial information, this book introduces methods for managing uncertainties—such as data of questionable quality—in geographic information science (GIS) applications. By using original research, current advancement, and emerging developments in the field, the authors compile various aspects of spatial data quality control. From multidimensional and multi-scale data integration to uncertainties in spatial data mining, this book launches into areas that are rarely addressed. Topics covered include: New developments of uncertainty modelling, quality control of spatial data, and related research issues in spatial analysis, Spatial statistical solutions in spatial data quality, Eliminating systematic error in the analytical results of GIS applications, A data quality perspective for GIS function workflow design, Data quality in multi-dimensional integration, Research challenges on data quality in the integration and analysis of data from multiple sources, A new approach for imprecision management in the qualitative data warehouse, A multi-dimensional quality assessment of photogrammetric and LiDAR datasets based on a vector approach, An analysis on the uncertainty of multi-scale representation for street-block settlement. This book serves university students, researchers and professionals in GIS, and investigates the uncertainty modelling and quality control in multi-dimensional data integration, multi-scale data representation, national or regional spatial data products, and new spatial data mining methods. Note de contenu : UNCERTAINTY MODELLING AND QUALITY CONTROL - Uncertainty-Related Research Issues in Spatial Analysis / Daniel A. Griffith, David W. Wong, and Yongwan Chun - Spatial Statistical Solutions in Spatial Data Quality to Answer Agricultural Demands Based on Satellite Observations / Alfred Stein, Muhammad Imran, and Milad Mahour - Eliminating Systematic Error in Analytical Results of GIS Applications / N. Chrisman and J.-F. Girres - Function Workflow Design for Geographic Information System: A Data Quality Perspective / J.-H. Hong and M.-L. Huang UNCERTAINTIES IN MULTIDIMENSIONAL AND MULTISCALE DATA INTEGRATION - Data Quality in the Integration and Analysis of Data from Multiple Sources: Some Research Challenges / J. Harding, L. Diamond, J. Goodwin, G. Hart, D. Holland, M. Pendlington, and A. Radburn - Quality Management of Reference Geoinformation / A. Jakobsson, A. Hopfstock, M. Beare, and R. Patrucco - A New Approach of Imprecision Management in Qualitative Data Warehouse / F. Amanzougarene, M. Chachoua, and K. Zeitouni - Quality Assessment in River Network Generalisation by Preserving the Drainage Pattern / Zhang and E. Guilbert QUALITY CONTROL FOR SPATIAL PRODUCTS - Quality Control of DLG and Map Products / Pei Wang, Zhiyong Lv, Libin Zhao, and Xincheng Guo - VGI for Land Administration: A Quality Perspective / Gerhard Navratil and Andrew U. Frank - Qualitative and Quantitative Comparative Analysis of the Relationship between Sampling Density and DEM Error by Bilinear and Bicubic Interpolation Methods / Wenzhong Shi, Bin Wang, and Eryong Liu - Automatic Method of Inspection for Deformation in Digital Aerial Imagery Based on Statistical Characteristics / Yaohua Yi, Yuan Yuan, Hai Su, and Mingjing Miao - Comparison of Point Matching Techniques for Road Network Matching / A. Hackeloeer, K. Klasing, J. M. Krisp, and L. Meng UNCERTAINTIES IN SPATIAL DATA MINING - Towards a Collaborative Knowledge Discovery System for Enriching Semantic Information about Risks of Geospatial Data Misuse / J. Grira, Y. Bedard, and S. Roche - Uncertainty Management in Seismic Vulnerability Assessment Using Granular Computing Based on Neighborhood Systems / F. Khamespanah, M.R. Delavar, and M. Zare - Increasing the Accuracy of Classification Based on Ant Colony Algorithm / Ming Yu, Chen-Yan Dai, and Zhi-Lin Li Numéro de notice : 22628 Thématique : GEOMATIQUE Nature : Recueil / ouvrage collectif Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83456

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Using geographically weighted regression kriging for crop yield mapping in West Africa / Muhammad Imran in International journal of geographical information science IJGIS, vol 29 n° 2 (February 2015)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 29 n° 2 (February 2015) . - pp 234 - 257 Titre : Using geographically weighted regression kriging for crop yield mapping in West Africa Type de document : Article/Communication Auteurs : Muhammad Imran, Auteur ; Alfred Stein, Auteur ; Raul Zurita-Milla, Auteur Année de publication : 2015 Article en page(s) : pp 234 - 257 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes descripteurs IGN] agriculture [Termes descripteurs IGN] analyse de données [Termes descripteurs IGN] Burkina Faso [Termes descripteurs IGN] carte agricole [Termes descripteurs IGN] cartographie statistique [Termes descripteurs IGN] image SPOT-Végétation [Termes descripteurs IGN] krigeage [Termes descripteurs IGN] régression géographiquement pondérée [Termes descripteurs IGN] rendement agricole [Termes descripteurs IGN] sorgho (céréale) Résumé : (Auteur) Geographical information systems support the application of statistical techniques to map spatially referenced crop data. To do this in the optimal way, errors and uncertainties have to be minimized that are often associated with operations on the data. This paper applies a spatial statistical approach to upscale crop yields from the field level toward the scale of Burkina Faso. Observed yields were related to the Normalized Difference Vegetation Index derived from SPOT-VEGETATION. The objective was to quantify the uncertainties at the subsequent steps. First, we applied a point pattern analysis to examine uncertainties due to the sampling network of field surveys in the country. Second, geographically weighted regression kriging (GWRK) was applied to upscale the yield observations and to quantify the corresponding uncertainty. The proposed method was demonstrated with the mapping of sorghum yields in Burkina Faso and results were compared with those from regression kriging (RK) and kriging with external drift using a local kriging neighborhood (KEDLN). The proposed method was validated with independent yield observations obtained from field surveys. We observed that the lower uncertainty range value increased by 39%, and the upper uncertainty range value decreased by 51%, when comparing GWRK with RK and KEDLN. Moreover, GWRK reduced the prediction error variance as compared to RK (20 vs. 31) and to KEDLN (20 vs. 39). We found that climate and topography had a major impact on the country’s sorghum yields. Further, the financial ability of farmers influenced the crop management and, thus, the sorghum crop yields. We concluded that GWRK effectively utilized information present in the covariate datasets and improved the accuracies of both the regional-scale mapping of sorghum yields and was able to quantify the associated uncertainty. Numéro de notice : A2015-578 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2014.959522 En ligne : http://www.tandfonline.com/doi/full/10.1080/13658816.2014.959522 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77840 [article]

A random set approach for modeling integrated uncertainties of traffic islands derived from airborne laser scanning points / Liang Zhou in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 9 (September 2013)  

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Improving representation of land-use maps derived from object-oriented image classification / Wenxiu Gao in Transactions in GIS, vol 17 n° 3 (June 2013)

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vol 66 n° 2 - March - April 2011 - Quality, scale and analysis aspects of urban city models (Bulletin de ISPRS Journal of photogrammetry and remote sensing) / Monika Sester  

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A system of types and operators for handling vague spatial objects / A. Dilo in International journal of geographical information science IJGIS, vol 21 n° 3-4 (march - april 2007)

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Modeling and visualizing dynamic landscape objects and their qualities / Daniel van de Vlag (2006)  

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An application of problem and product ontologies for the revision beach nourishments / Daniel van de Vlag in International journal of geographical information science IJGIS, vol 19 n° 10 (november 2005)

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Complexity metrics to quantify semantic accuracy in segmented Landsat images / Alfred Stein in International Journal of Remote Sensing IJRS, vol 26 n° 14 (July 2005)

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Multivariate texture-based segmentation of remotely sensed imagery for extraction of objects and their uncertainty / Arko Lucieer in International Journal of Remote Sensing IJRS, vol 26 n° 14 (July 2005)

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Use of the Bradley-Terry model to quantify association in remotely sensed images / Alfred Stein in IEEE Transactions on geoscience and remote sensing, vol 43 n° 4 (April 2005)

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Integrating interferometric SAR data with levelling measurements of land subsidence using geostatistic / Y. Zhou in International Journal of Remote Sensing IJRS, vol 24 n° 18 (September 2003)

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