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Accurate assessment of protected area boundaries for land use planning using 3D GIS / Dilek Tezel in Geocarto international, vol 36 n° 1 ([01/01/2021])  

Public [article]  inGeocarto international > vol 36 n° 1 [01/01/2021] . - pp 96 - 109 Titre : Accurate assessment of protected area boundaries for land use planning using 3D GIS Type de document : Article/Communication Auteurs : Dilek Tezel, Auteur ; Mehmet Buyukdemircioglu, Auteur ; Sultan Kocaman, Auteur Année de publication : 2021 Article en page(s) : pp 96 - 109 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes descripteurs IGN] aire protégée [Termes descripteurs IGN] analyse de données [Termes descripteurs IGN] analyse visuelle [Termes descripteurs IGN] biodiversité [Termes descripteurs IGN] conservation des ressources naturelles [Termes descripteurs IGN] modèle 3D de l'espace urbain [Termes descripteurs IGN] planification [Termes descripteurs IGN] SIG 3D [Termes descripteurs IGN] Turquie Résumé : (Auteur) Protected areas (PAs) are essential for ensuring the sustainability of biodiversity and protecting human lives. Efficient and sustainable protection require cooperation of all stakeholders and anticipate the coherence of conservation aims and human use. PAs can limit the human activities and land use alternatives significantly. Participatory planning and monitoring can help to achieve the protection goals and 3D GIS can serve as the base platform for planning. This study investigates the potential of 3D GIS with high-resolution datasets for accurate definition of PA boundaries and demonstrates a case study in Cesme Peninsula, Turkey. The PA boundaries have been examined with respect to the property ownership boundaries and buildings using the 3D city model of Cesme. A conceptual approach for the determination of PA boundaries is proposed. The results show that 3D GIS can support the ecosystem conservation efforts while observing the interests of all stakeholders at the same time. Numéro de notice : A2021-053 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2019.1590466 date de publication en ligne : 28/05/2019 En ligne : https://doi.org/10.1080/10106049.2019.1590466 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96778 [article]

Comparison of tree-based classification algorithms in mapping burned forest areas / Dilek Kucuk Matci in Geodetski vestnik, vol 64 n° 3 (September - November 2020)  

Public [article]  inGeodetski vestnik > vol 64 n° 3 (September - November 2020) . - 13 p. Titre : Comparison of tree-based classification algorithms in mapping burned forest areas Type de document : Article/Communication Auteurs : Dilek Kucuk Matci, Auteur ; Resul Comert, Auteur ; Ugur Avdan, Auteur Année de publication : 2020 Article en page(s) : 13 p. Note générale : bibliographie Langues : Anglais (eng) Slovène (slv) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] analyse comparative [Termes descripteurs IGN] analyse d'image orientée objet [Termes descripteurs IGN] bassin méditerranéen [Termes descripteurs IGN] carte forestière [Termes descripteurs IGN] classification dirigée [Termes descripteurs IGN] classification par arbre de décision [Termes descripteurs IGN] classification par forêts aléatoires [Termes descripteurs IGN] image Landsat-8 [Termes descripteurs IGN] incendie de forêt [Termes descripteurs IGN] matrice de confusion [Termes descripteurs IGN] pansharpening (fusion d'images) [Termes descripteurs IGN] Rotation Forest classification [Termes descripteurs IGN] Turquie [Termes descripteurs IGN] zone sinistrée Résumé : (auteur) In this study, we compared the performance of tree-based classification algorithms – Random Forest (RF), Rotation Forest (RotF), J48, The Alternating Decision Tree (ADTree), Forest by Penalising Attributes (Forest PA), Logical Analysis of Data Algorithm (LADTree) and Functional Trees (FT) – for mapping burned forest areas within the Mediterranean region in Turkey. Object-based image analysis (OBIA) was performed to pan-sharpened the Landsat 8 images. Four different burned areas, namely Kumluca, Adrasan, Anamur, and Alanya, were used as study areas. Kumluca, Anamur, and Alanya regions were used as training areas, and Adrasan region was used as the test area. Obtained results were evaluated with confusion matrix and statistically significant analysis. According to the results, FT and RotF produced more accurate results than other algorithms. Also, the results obtained with these algorithms are statistically significant. Numéro de notice : A2020-626 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.15292/geodetski-vestnik.2020.03.348-360 date de publication en ligne : 23/08/2020 En ligne : https://doi.org/10.15292/geodetski-vestnik.2020.03.348-360 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96087 [article]

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Estimation of frequency and duration of ionospheric disturbances over Turkey with IONOLAB-FFT algorithm / Secil Karatay in Journal of geodesy, vol 94 n° 9 (September 2020)  

Public [article]  inJournal of geodesy > vol 94 n° 9 (September 2020) . - n° 89 Titre : Estimation of frequency and duration of ionospheric disturbances over Turkey with IONOLAB-FFT algorithm Type de document : Article/Communication Auteurs : Secil Karatay, Auteur Année de publication : 2020 Article en page(s) : n° 89 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale [Termes descripteurs IGN] fréquence [Termes descripteurs IGN] oscillation [Termes descripteurs IGN] perturbation ionosphérique [Termes descripteurs IGN] récepteur bifréquence [Termes descripteurs IGN] récepteur GPS [Termes descripteurs IGN] teneur totale en électrons [Termes descripteurs IGN] transformation rapide de Fourier [Termes descripteurs IGN] Turquie Résumé : (auteur) One of the more common methods of observation of variability of the Earth’s ionosphere is based on total electron content (TEC) estimated from ground-based dual-frequency Global Positioning System (GPS) receivers. Variations in solar, geomagnetic and seismic activity cause depletions or enhancements in the ionospheric electron concentrations that can be detected as disturbances. Some of these disturbances have wave-like characteristics, where frequency of oscillation can be used to identify and classify the disturbance. In this study, the frequency of such periodic disturbances is estimated using a fast Fourier transform (FFT)-based method, namely IONOLAB-FFT, in the spectral domain. IONOLAB-FFT, which was initially developed to be used on slant TEC (STEC), is modified to be applied to TEC in the local zenith direction of the receiver. The algorithm is tested using literature data on disturbances generated by a geomagnetic activity, a solar flare, a medium-scale traveling ionospheric disturbance (MSTID), a large-scale TID (LSTID) and an earthquake. An accordance with these known disturbances is observed in running IONOLAB-FFT, and the main frequencies and durations of the disturbances are estimated. IONOLAB-FFT method is applied to TEC computed from Turkish Permanent GPS Network (TNPGN-Active) which lies in mid-latitude region to detect the any wave-like oscillations, sudden disturbances and other irregularities during December, March, June and September months for 2010, 2011 and 2012 years. It is observed that a large number of the estimated frequencies are accumulated between 0.08 and 0.14 MHz corresponding to periods of 3.5 h to 2 h. The significant frequencies are grouped less than 0.28 MHz. A large number of the durations of the oscillations are between 425 and 550 min in 2010, 300 and 550 min in 2011 and 350 and 400 min in 2012. The longest duration (around 800 min: 13.33 h) is observed in December months, and the shortest duration (around 2 h) is observed in September months. Numéro de notice : A2020-541 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-020-01416-1 date de publication en ligne : 31/08/2020 En ligne : https://doi.org/10.1007/s00190-020-01416-1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95743 [article]

Monitoring the deformation of a concrete dam: a case study on the Deriner Dam, Artvin, Turkey / Berkant Konakoglu in Geomatics, Natural Hazards and Risk, vol 11 n° 1 (2020)  

Public [article]  inGeomatics, Natural Hazards and Risk > vol 11 n° 1 (2020) . - pp 160 - 177 Titre : Monitoring the deformation of a concrete dam: a case study on the Deriner Dam, Artvin, Turkey Type de document : Article/Communication Auteurs : Berkant Konakoglu, Auteur ; Leyla Cakir, Auteur ; Volkan Yilmaz, Auteur Année de publication : 2020 Article en page(s) : pp 160 - 177 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Topographie moderne [Termes descripteurs IGN] barrage [Termes descripteurs IGN] déformation d'édifice [Termes descripteurs IGN] données GNSS [Termes descripteurs IGN] réseau géodésique [Termes descripteurs IGN] surveillance d'ouvrage [Termes descripteurs IGN] transformation IWST [Termes descripteurs IGN] Turquie Résumé : (auteur) This paper investigates the behaviour of the double-curvature Deriner dam, which is in the operation phase and also one of the highest dams in the world. In order to determine the displacements, a geodetic network consisting of twelve reference and seven object points was measured in four periods by means of the Global Navigation Satellite Systems (GNSS) data. The θ2-Criteria method was used to determine the extent of the deformation. The deformation analysis results based on the GNSS measurements revealed significant horizontal and vertical displacements on the object points on the dam crest. Hence, the vertical displacements found based on the GNSS measurements can be considered erroneous, because they are greater than expected. This may be due to the narrow topography of the valley. Another conclusion drawn from the results is that there is a strong relationship between the change in the reservoir water level and horizontal deformations, as can be seen from the horizontal deformation vectors. Numéro de notice : A2020-568 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/19475705.2020.1714755 date de publication en ligne : 28/01/2020 En ligne : https://doi.org/10.1080/19475705.2020.1714755 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95894 [article]

Precise extraction of citrus fruit trees from a Digital Surface Model using a unified strategy: detection, delineation, and clustering / Ali Ozgun Ok in Photogrammetric Engineering & Remote Sensing, PERS, vol 86 n° 9 (September 2020)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 86 n° 9 (September 2020) . - pp 557-569 Titre : Precise extraction of citrus fruit trees from a Digital Surface Model using a unified strategy: detection, delineation, and clustering Type de document : Article/Communication Auteurs : Ali Ozgun Ok, Auteur ; Asli Ozdarici-Ok, Auteur Année de publication : 2020 Article en page(s) : pp 557-569 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes descripteurs IGN] analyse comparative [Termes descripteurs IGN] analyse de groupement [Termes descripteurs IGN] Citrus limon [Termes descripteurs IGN] détection de contours [Termes descripteurs IGN] état de l'art [Termes descripteurs IGN] extraction d'arbres [Termes descripteurs IGN] image captée par drone [Termes descripteurs IGN] modèle numérique de surface [Termes descripteurs IGN] modèle stochastique [Termes descripteurs IGN] Turquie Résumé : (Auteur) In this study, we present an original unified strategy for the precise extraction of individual citrus fruit trees from single digital surface model (DSM) input data. A probabilistic method combining the circular shape information with the knowledge of the local maxima in the DSM has been used for the detection of the candidate trees. An active contour is applied within each detected region to extract the borders of the objects. Thereafter, all extracted objects are seamlessly divided into clusters considering a new feature data set formed by (1) the properties of trees, (2) planting parameters, and (3) neighborhood relations. This original clustering stage has led to two new contributions: (1) particular objects or clustered structures having distinctive characters and relationships other than the citrus objects can be identified and eliminated, and (2) the information revealed by clustering can be used to recover missing citrus objects within and/or nearby each cluster. The main finding of this research is that a successful clustering can provide valuable input for identifying incorrect and missing information in terms of citrus tree extraction. The proposed strategy is validated in eight test sites selected from the northern part of Mersin province of Turkey. The results achieved are also compared with the state-of-the-art methods developed for tree extraction, and the success of the proposed unified strategy is clearly highlighted. Numéro de notice : A2020-491 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.86.9.557 date de publication en ligne : 01/09/2020 En ligne : https://doi.org/10.14358/PERS.86.9.557 Format de la ressource électronique : LUR article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95933 [article]

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Analysis of dam deformation with robust weight functions / Berkant Konakoglu in Geodetski vestnik, vol 64 n° 2 (June - August 2020)  

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Spatio-temporal evaluation of transport accessibility of the Istanbul metrobus line / Wasim Shoman in Geocarto international, vol 35 n° 6 ([01/05/2020])  

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Study of usability of aerial images and high-resolution satellite images in cadastre renewal works in Turkey / Fazil Nacar in Survey review, vol 52 n° 372 (May 2020)  

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A citSci approach for rapid earthquake intensity mapping: a case study from Istanbul (Turkey) / Ilyas Yalcin in ISPRS International journal of geo-information, vol 9 n° 4 (April 2020)  

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Impact of temperature stabilization on the strapdown airborne gravimetry: a case study in Central Turkey / Mehmet Simav in Journal of geodesy, vol 94 n°4 (April 2020)  

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Dimension reduction methods applied to coastline extraction on hyperspectral imagery / Ozan Arslan in Geocarto international, vol 35 n° 4 ([15/03/2020])  

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Artificial neural network models by ALOS PALSAR data for aboveground stand carbon predictions of pure beech stands: a case study from northern of Turkey / Alkan Günlü in Geocarto international, Vol 35 n° 1 ([02/01/2020])  

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Classification of poplar trees with object-based ensemble learning algorithms using Sentinel-2A imagery / H. Tombul in Journal of geodetic science, vol 10 n° 1 (janvier 2020)  

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Comparison of filtering algorithms used for DTM production from airborne lidar data: a case study in Bergama, Turkey / Baris Suleymanoglu in Geodetski vestnik, vol 63 n° 3 (September - November 2019)  

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Ability of GPS PPP in 2D deformation analysis with respect to GPS network solution / C. Aydin in Survey review, vol 51 n° 366 (May 2019)  

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