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The impact of landscape characteristics on the performance of upscaled maps / Peijun Sun in Geocarto international, vol 36 n° 17 ([15/09/2021])  

Public [article]  inGeocarto international > vol 36 n° 17 [15/09/2021] . - pp 1905 - 1922 Titre : The impact of landscape characteristics on the performance of upscaled maps Type de document : Article/Communication Auteurs : Peijun Sun, Auteur ; Russell G. Congalton, Auteur Année de publication : 2021 Article en page(s) : pp 1905 - 1922 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie [Termes IGN] analyse du paysage [Termes IGN] carte de base [Termes IGN] logiciel de simulation [Termes IGN] mise à l'échelle [Termes IGN] paysage [Termes IGN] précision cartographique Résumé : (auteur) Upscaled maps, as necessary data sources, have drawn much attention to fill data gaps or match the spatial resolution of pre-existing projects. Nevertheless, it remains a challenging task to quantitatively assess the impact of landscape characteristics on the upscaled maps. To simplify the investigation, three characteristics: fragmentation, number of classes and major class impact factor (MCIF), were selected. We utilized SIMMAP to produce categorical maps for generating base maps with different landscape characteristics. The Majority Rule Based algorithm was then used to produce upscaled maps at 11 different spatial resolutions. The findings indicate that the combined effect of landscape patterns greatly impacts upscaling accuracy. This important result should be carefully considered when developing the next generation of upscaling techniques. Overall, extending our understanding of the impacts of landscape characteristics is a critical step forward improving upscaling accuracy and therefore, our use of these maps. Numéro de notice : A2021-693 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2019.1678681 Date de publication en ligne : 18/10/2019 En ligne : https://doi.org/10.1080/10106049.2019.1678681 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98511 [article]

Mapping and Monitoring Forest Cover / Russell G. Congalton (2021)  

Public Titre : Mapping and Monitoring Forest Cover Type de document : Monographie Auteurs : Russell G. Congalton, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2021 Importance : 144 p. ISBN/ISSN/EAN : 978-3-0365-2043-8 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] carte forestière [Termes IGN] couvert forestier [Termes IGN] forêt [Termes IGN] image aérienne [Termes IGN] image satellite [Termes IGN] inventaire forestier local [Termes IGN] mangrove Note de contenu : - Mapping and Monitoring Forest Cover - Spatial and Temporal Changes in Vegetation in the Ruoergai Region, China - Monitoring Mangrove Forest Degradation and Regeneration: Landsat Time Series Analysis of Moisture and Vegetation Indices at Rabigh Lagoon, Red Sea - Monitoring Carbon Stock and Land-Use Change in 5000-Year-Old Juniper Forest Stand of Ziarat, Balochistan, through a Synergistic Approach - Forest Cover Mapping Based on a Combination of Aerial Images and Sentinel-2 Satellite Data Compared to National Forest Inventory Data - Use of Remote Sensing Data to Improve the Efficiency of National Forest Inventories: A Case Study from the United States National Forest Inventory - A Comparison of Forest Tree Crown Delineation from Unmanned Aerial Imagery Using Canopy Height Models vs. Spectral Lightness Numéro de notice : 17141 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE/IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-0365-2044-5 En ligne : https://doi.org/10.3390/books978-3-0365-2044-5 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98631

Improving the upscaling of land cover maps by fusing uncertainty and spatial structure information / Peijun Sun in Photogrammetric Engineering & Remote Sensing, PERS, vol 84 n° 2 (February 2018)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 84 n° 2 (February 2018) . - pp 87 - 100 Titre : Improving the upscaling of land cover maps by fusing uncertainty and spatial structure information Type de document : Article/Communication Auteurs : Peijun Sun, Auteur ; Russell G. Congalton, Auteur ; Yaozhong Pan, Auteur Année de publication : 2018 Article en page(s) : pp 87 - 100 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] Caroline du Sud (Etats-Unis) [Termes IGN] carte agricole [Termes IGN] carte d'occupation du sol [Termes IGN] erreur systématique [Termes IGN] fusion de données [Termes IGN] incertitude des données [Termes IGN] Indiana (Etats-Unis) [Termes IGN] mise à jour de base de données Résumé : (Auteur) Upscaling land cover maps is broadly employed to fill data gaps or match the spatial-resolution of preexisting projects. However, existing methods introduce systematic errors in the area information and the landscape pattern. We developed an upscaling method fusing the spatial structure information (i.e., class Membership probability) and the uncertainty information of the base map (e.g., Confidence level probability), called Fusing class Membership probability and Confidence level probability (FMC). The results showed that FMC obtained higher upscaling efficiency, and mitigated the negative influence of landscape heterogeneity and the negative influence of unequal proportions of land cover in the base maps, on the upscaling compared to Majority Rule Based (MRB) method. Additionally, FMC can reduce the uncertainty/error when these upscaled maps are used as input to Earth observation model (e.g., land cover change). Numéro de notice : A2018-047 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.84.2.87 En ligne : https://doi.org/10.14358/PERS.84.2.87 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89316 [article]

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A comparison of urban mapping methods using high-resolution digital imagery / N. Thomas in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 9 (September 2003)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 9 (September 2003) . - pp 963 - 972 Titre : A comparison of urban mapping methods using high-resolution digital imagery Type de document : Article/Communication Auteurs : N. Thomas, Auteur ; C. Hendrix, Auteur ; Russell G. Congalton, Auteur Année de publication : 2003 Article en page(s) : pp 963 - 972 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse comparative [Termes IGN] Arizona (Etats-Unis) [Termes IGN] cartographie urbaine [Termes IGN] classification ascendante hiérarchique [Termes IGN] classification dirigée [Termes IGN] classification non dirigée [Termes IGN] image à résolution métrique [Termes IGN] image à très haute résolution [Termes IGN] segmentation d'image Résumé : (Auteur) Recent advances in digital airborne sensors and satellite platforms make spatially accurate, high-resolution multispectral imagery readily available. These advances provide the opportunity for a host of new applications to address and solve problems. High-resolution imagery is particularly well suited to urban applications. Previous data sources (such as Landsat TM) did not show the spatial detail necessary to provide many urban planning solutions. This paper provides an overview of a project in which one-meter digital imagery was used to produce a map of pervious and impervious surfaces to be used by the city of Scottsdale, Arizona for storm-water estimation. The increased spatial information in one-meter or less resolution imagery strains the usefulness of image classification using traditional supervised and unsupervised spectral classification algorithms. This study assesses the accuracy of three different methods for extracting land-cover/land-use information from high-resolution imagery of urban environments : (1) combined supervised/unsupervised spectral classification, (2) raster-based spatial modeling and (3) image segmentation classification using tree analysis. A discussion of the results and relative merits of each method is included. Numéro de notice : A2003-226 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.9.963 En ligne : https://doi.org/10.14358/PERS.69.9.963 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22521 [article]

Sampling method and sampling placement: how do they affect the accuracy of remotely sensed maps? / L. Plourde in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 3 (March 2003)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 3 (March 2003) . - pp 289 - 297 Titre : Sampling method and sampling placement: how do they affect the accuracy of remotely sensed maps? Type de document : Article/Communication Auteurs : L. Plourde, Auteur ; Russell G. Congalton, Auteur Année de publication : 2003 Article en page(s) : pp 289 - 297 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Orthophotographie, orthoimage [Termes IGN] classification dirigée [Termes IGN] classification non dirigée [Termes IGN] échantillonnage d'image [Termes IGN] estimation de précision [Termes IGN] identification automatique [Termes IGN] précision de détermination de surface [Termes IGN] sylviculture Résumé : (Auteur) The accuracy of remote sensed forest stand maps is traditionnally assessed by comparing a sample of the map data with actual ground conditions. Samples most often comprise clusters of pixels within homogeneous areas , therby avoiding problems associated with accuratly maping "edges" (e.g., transition areas between two forest types). Consequentely, they may well overstimable accuracy, but the degree of overestimation is unknown. This paper examines two important factors regarding accuracy assessment that are not well studied : the effect on estimates of accuracy of (1) the sampling method and (2) the exact placement of the samples. Overall accuracy, normalized accuracy, and the KHAT statistic are computed from error matrices generated from simple random sampling, stratified random sampling, and systematic sampling using totally random sample placement and samples chosen from homogeneous areas only. The results indicate that Kappa appears to be appropriate to use with systematic sampling and stratified random sampling as it is with simple random sampling, but suggest that sample placement may have more of an effect on estimates of accuracy than sampling method alone. Numéro de notice : A2003-031 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.69.3.289 En ligne : https://doi.org/10.14358/PERS.69.3.289 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22328 [article]

Spatial and temporal analysis of a tidal floodplain landscape-Amapá, Brazil-using geographic information systems and remote sensing / V.F.G. Pereira in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 5 (Mai 2002)  

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International Symposium on Spatial accuracy of Natural Resource Data Bases, proceedings, 16- 20 May 1994, Williamsburg, Virginia / Russell G. Congalton (1994)

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Using Thematic Mapper imagery to examine forest understory / J.M. Stenback in Photogrammetric Engineering & Remote Sensing, PERS, vol 56 n° 9 (september 1990)  

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Satellite and geographic information system estimates of Colorado river basin snowpack / J.S. Ferris in Photogrammetric Engineering & Remote Sensing, PERS, vol 55 n° 11 (november 1989)  

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Application of remote sensing and geographic information systems to forest fire hazard mapping / E. Chuvieco in Remote sensing of environment, vol 29 n° 2 (01/08/1989)  

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Using cluster analysis to improve the selection of training statistics in classifying remotely sensed data / E. Chuvieco in Photogrammetric Engineering & Remote Sensing, PERS, vol 54 n° 9 (september 1988)  

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A comparison of sampling schemes used in generating error matrices for assessing the accuracy of maps generated from remotely sensed data / Russell G. Congalton in Photogrammetric Engineering & Remote Sensing, PERS, vol 54 n° 5 (may 1988)  

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Using spatial autocorrelation analysis to explore the errors in maps generated from remotely sensed data / Russell G. Congalton in Photogrammetric Engineering & Remote Sensing, PERS, vol 54 n° 5 (may 1988)  

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A methodology for mapping forest latent heat flux densities using remote sensing / L.L. Pierce in Remote sensing of environment, vol 24 n° 3 (01/04/1988)  

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