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Detecting abandoned farmland using harmonic analysis and machine learning / Heeyeun Yoon 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 201 - 212 Titre : Detecting abandoned farmland using harmonic analysis and machine learning Type de document : Article/Communication Auteurs : Heeyeun Yoon, Auteur ; Soyoun Kim, Auteur Année de publication : 2020 Article en page(s) : pp 201 - 212 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] analyse harmonique [Termes descripteurs IGN] apprentissage automatique [Termes descripteurs IGN] classification par séparateurs à vaste marge [Termes descripteurs IGN] Corée du sud [Termes descripteurs IGN] gestion des ressources [Termes descripteurs IGN] inventaire [Termes descripteurs IGN] Normalized Difference Vegetation Index [Termes descripteurs IGN] Normalized Difference Water Index [Termes descripteurs IGN] phénologie [Termes descripteurs IGN] production agricole [Termes descripteurs IGN] Soil Adjusted Vegetation Index [Termes descripteurs IGN] surface cultivée Résumé : (auteur) It is critical to inventory abandoned farmland soon after it is generated, to better manage agricultural resources and to prevent negative consequences that would otherwise follow. This study aims to distinguish abandoned farmlands from active croplands—rice paddy and agricultural fields—by discerning the phenological trajectories over a short-term period of three years (Jan. 2016 to Dec. 2018) in Gwanyang City in South Korea. For Support Vector Machine (SVM) classification, we fully utilized parameters derived from harmonic analyses of the three vegetation indices (VIs: NDVI, NDWI, and SAVI) extracted from Sentinel-2A imagery. The harmonic analyses proved that higher-order sinusoid components produced better fitting to explain the trajectory of the VIs—the maximum adjusted was 95.23%—and the multiple VIs diversified the attributes for the classifications. Consequently, the higher-order harmonic components and the additional VIs increased the accuracy when used in SVM classification. The best performing classification was achieved with a composite of harmonic terms derived from the three VIs, yielding overall accuracy of 90.72%, Kappa index of 0.858, and user’s accuracy for abandoned farmland of 93.40%. The proposed method here would greatly improve the process of detecting abandoned farmland, despite a relatively short observation period, and enable a rapid response to the occurrence of abandonment. Numéro de notice : A2020-356 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2020.05.021 date de publication en ligne : 16/06/2020 En ligne : https://doi.org/10.1016/j.isprsjprs.2020.05.021 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95243 [article]

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Error-regulated multi-pass DInSAR analysis for landslide risk assessment / Jung Rack Kim in Photogrammetric Engineering & Remote Sensing, PERS, vol 84 n° 4 (April 2018)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 84 n° 4 (April 2018) . - pp 189 - 202 Titre : Error-regulated multi-pass DInSAR analysis for landslide risk assessment Type de document : Article/Communication Auteurs : Jung Rack Kim, Auteur ; HyeWon Yun, Auteur ; Stephan van Gasselt, Auteur ; YunSoo Choi, Auteur Année de publication : 2018 Article en page(s) : pp 189 - 202 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes descripteurs IGN] Corée du sud [Termes descripteurs IGN] effondrement de terrain [Termes descripteurs IGN] interferométrie différentielle [Termes descripteurs IGN] interféromètrie par radar à antenne synthétique [Termes descripteurs IGN] modèle numérique de terrain [Termes descripteurs IGN] montagne [Termes descripteurs IGN] risque naturel [Termes descripteurs IGN] surveillance géologique [Termes descripteurs IGN] télédétection en hyperfréquence [Termes descripteurs IGN] teneur en vapeur d'eau Résumé : (Auteur) Landslide risk assessment based on Differential Interferometric SAR analyses (DInSAR) is associated with a number of error effects. We here approach the problem of assessing landslide risks over mountainous areas, where DInSAR observations are often influenced by orographic effects and inaccurate base topographies by employing a dedicated error compensation. In order to obtain accurate information on surface deformation, we apply corrections for DInSAR interferograms using high-resolution base topography and water vapor information obtained from a satellite radiometer. We observe that the corrected DInSAR output is in accordance with the environmental context as inferred by geological and geomorphological settings. It is feasible to better quantify landslide monitoring schemes whenever high- accuracy atmospheric error maps and a methodology to effectively compensate for external errors in DInSAR interferograms are available. The approach in this study can be further upgraded for future SAR-based assessments and various error correction approaches for even more precise landslide risk assessments. Numéro de notice : A2018-138 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.84.4.189 date de publication en ligne : 01/04/2018 En ligne : https://doi.org/10.14358/PERS.84.4.189 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89688 [article]

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Development of a 3D underground cadastral system with indoor mapping for as-built BIM: the case study of Gangnam subway station in Korea / Kim Sangmin in Sensors, vol 15 n° 12 (December 2015)

Public [article]  inSensors > vol 15 n° 12 (December 2015) . - pp 30870 - 30893 Titre : Development of a 3D underground cadastral system with indoor mapping for as-built BIM: the case study of Gangnam subway station in Korea Type de document : Article/Communication Auteurs : Kim Sangmin, Auteur ; Kim Jeonghyun, Auteur ; Jaehoon Jung, Auteur ; Heo Joon, Auteur Année de publication : 2015 Article en page(s) : pp 30870 - 30893 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes descripteurs IGN] base de données foncières [Termes descripteurs IGN] cadastre étranger [Termes descripteurs IGN] carte d'intérieur [Termes descripteurs IGN] Corée du sud [Termes descripteurs IGN] données lidar [Termes descripteurs IGN] données localisées 3D [Termes descripteurs IGN] modèle géométrique du bâti [Termes descripteurs IGN] modélisation 3D du bâti BIM [Termes descripteurs IGN] système d'information foncière Résumé : (auteur) The cadastral system provides land ownership information by registering and representing land boundaries on a map. The current cadastral system in Korea, however, focuses mainly on the management of 2D land-surface boundaries. It is not yet possible to provide efficient or reliable land administration, as this 2D system cannot support or manage land information on 3D properties (including architectures and civil infrastructures) for both above-ground and underground facilities. A geometrical model of the 3D parcel, therefore, is required for registration of 3D properties. This paper, considering the role of the cadastral system, proposes a framework for a 3D underground cadastral system that can register various types of 3D underground properties using indoor mapping for as-built Building Information Modeling (BIM). The implementation consists of four phases: (1) geometric modeling of a real underground infrastructure using terrestrial laser scanning data; (2) implementation of as-built BIM based on geometric modeling results; (3) accuracy assessment for created as-built BIM using reference points acquired by total station; and (4) creation of three types of 3D underground cadastral map to represent underground properties. The experimental results, based on indoor mapping for as-built BIM, show that the proposed framework for a 3D underground cadastral system is able to register the rights, responsibilities, and restrictions corresponding to the 3D underground properties. In this way, clearly identifying the underground physical situation enables more reliable and effective decision-making in all aspects of the national land administration system. Numéro de notice : A2015--044 Thématique : GEOMATIQUE/IMAGERIE Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81866 [article]

Application of fuzzy combination operators to flood vulnerability assessments in Seoul, Korea / Moung-Jin Lee in Geocarto international, vol 30 n° 9 - 10 (October - November 2015)  

Public [article]  inGeocarto international > vol 30 n° 9 - 10 (October - November 2015) . - pp 1052 - 1075 Titre : Application of fuzzy combination operators to flood vulnerability assessments in Seoul, Korea Type de document : Article/Communication Auteurs : Moung-Jin Lee, Auteur ; Jung Eun Kang, Auteur ; Geunhan Kim, Auteur Année de publication : 2015 Article en page(s) : pp 1052 - 1075 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] changement climatique [Termes descripteurs IGN] classification floue [Termes descripteurs IGN] évaluation des données [Termes descripteurs IGN] inondation [Termes descripteurs IGN] Séoul [Termes descripteurs IGN] système d'information géographique [Termes descripteurs IGN] zone inondable Résumé : (Auteur) The goal of this study was to apply, verify and compare fuzzy models with various fuzzy combination operators to analyze the vulnerability to flooding in Seoul, Korea, and to create flood vulnerability maps. We employed the IPCC concept of vulnerability, which comprises exposure to climate, sensitivity and the adaptive capacity, to identify factors that influence flooding. Eleven factors were compiled in a spatial database using geographical information system. The relative weight of each factor was converted into a fuzzy membership value, which was integrated to obtain a flood vulnerability index using five fuzzy combination operators (fuzzy AND, fuzzy OR, fuzzy algebraic sum, fuzzy algebraic product and fuzzy gamma). Overall, the fuzzy models were quite effective tools for flood vulnerability assessment. Of the five fuzzy combination operators, the fuzzy AND operator obtained the highest prediction accuracy of 88.68%. This study achieved better flood vulnerability assessments by employing and comparing fuzzy combination operators. Numéro de notice : A2015-629 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2015.1027290 date de publication en ligne : 01/04/2015 En ligne : http://www.tandfonline.com/doi/full/10.1080/10106049.2015.1027290 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78112 [article]

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GBAS ionospheric threat model assessment for category I operation in the Korean region / Minchan Kim in GPS solutions, vol 19 n° 3 (July 2015)  

Public [article]  inGPS solutions > vol 19 n° 3 (July 2015) . - pp 443 - 456 Titre : GBAS ionospheric threat model assessment for category I operation in the Korean region Type de document : Article/Communication Auteurs : Minchan Kim, Auteur ; Yunjung Choi, Auteur ; Hyang-Sig Jun, Auteur ; Jiyun Lee, Auteur Année de publication : 2015 Article en page(s) : pp 443 - 456 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale [Termes descripteurs IGN] Corée du sud [Termes descripteurs IGN] gradient d'ionosphère [Termes descripteurs IGN] perturbation ionosphérique [Termes descripteurs IGN] système d'extension au sol Résumé : (auteur) During extreme ionospheric storms, anomalous ionospheric gradients can become high enough to affect Global Navigation Satellite Systems (GNSS) Ground-Based Augmentation Systems (GBAS) and to threaten the safety of GBAS users. An ionospheric anomaly threat model for the Conterminous United States (CONUS) was developed based on extreme ionospheric gradients observed in CONUS during the last solar maximum period (2000–2004). However, in order to understand and mitigate ionosphere threats occurring in different geographical regions, ionospheric anomaly threat models have to be established for the relevant regions. To allow the certification of a GBAS ground facility in South Korea, a Korean ionospheric anomaly threat model must be determined. We describe the method of data analysis that was used to estimate ionospheric spatial gradients. Estimates of anomalous gradients in the Korean region were used to define and build an ionospheric anomaly threat model for this region. All gradient estimates obtained using Korean GNSS reference network data for potential ionospheric storm dates from 2000 to 2004 were included in this threat space. The maximum spatial gradient within this threat space is 160 mm of delay per km of user separation, which falls well within the bounds of the current ionospheric threat model for CONUS. We also provide a detailed examination of the two largest ionospheric spatial gradient events observed in this study, which occurred on November 10, 2004, and November 6, 2001, respectively. Numéro de notice : A2015-463 Thématique : POSITIONNEMENT Nature : Article En ligne : http://link.springer.com/article/10.1007/s10291-014-0404-6/fulltext.html Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77144 [article]

Spatial and temporal change in landslide hazard by future climate change scenarios using probabilistic-based frequency ratio model / Lee Moung-Jin in Geocarto international, vol 29 n° 5 - 6 (August - October 2014)  

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Effects of national forest inventory plot location error on forest carbon stock estimation using k-nearest neighbor algorithm / Jaehoon Jung in ISPRS Journal of photogrammetry and remote sensing, vol 81 (July 2013)

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Using gravity and topography-implied anomalies to assess data requirements for precise geoid computation / Christopher Jekeli in Journal of geodesy, vol 83 n° 12 (December 2009)  

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Exploring spatially prioritized parameters of Feng-Shui from tomb footprint / J. Um in International journal of geographical information science IJGIS, vol 23 n°3-4 (march - april 2009)

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Inoculation of seven pine species or hybrid seedlings with Korean isolates of pinewood nematode under greenhouse conditions / Kwan-Soo Woo ; Do-Hyung Lee ; Yeong-Bon Koo ; Jin-Kie Yeo in Annals of Forest Science, Vol 65 n° 8 (December 2008)

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Developments in South & East Asia: Space image acquisition for geospatial intelligence / Gordon Petrie in Geoinformatics, vol 10 n° 3 (01/04/2007)

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Landslide susceptibility mapping using GIS and the weight-of-evidence model / S. Lee in International journal of geographical information science IJGIS, vol 18 n° 8 (december 2004)

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Tracking road centrelines from high resolution remote sensing images by least squares correlation matching / S.R. Park in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 12 (December 2004)

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High-resolution imaging from space: a world-wide survey (part 2 Asia) / Gordon Petrie in Geoinformatics, vol 7 n° 2 (01/03/2004)

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The perception of landscape style: a cross-cultural comparison / Byoung-E Yang in Landscape and Urban Planning, vol 19 n° 3 (June 1990)

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