Volltext-Artikel, E-Books und Literaturhinweise aus dem EBSCO Discovery Service
"Artikel & mehr" berücksichtigt nur einen Teil der für die Bibliothek der Frankfurt UAS verfügbaren Datenbanken. Zur Übersicht in DBIS
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1
von Temitope D. Timothy Oyedotun ; Ate Poortinga ; Karis Tenneson ; et al.
Frontiers in Environmental Science, Vol 13 (2025)
Schlagworte: climate resilience strategies; coastal vulnerability assessment; erosion and sediment dynamics; geospatial flood modelling; remote sensing applications; shoreline change detection; Environmental sciences; GE1-350
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2
von Enikoe Bihari ; Karen Dyson ; Kayla Johnston ; et al.
Remote Sensing, Vol 17, Iss 19, p 3378 (2025)
Schlagworte: seasonal fire probability; annual fire prediction; Northern Thailand; machine learning; random forest; fire risk modeling; Science
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3
von Wafiq, M. Warizmi ; Cutter, Peter ; Poortinga, Ate ; et al.
Schlagworte: Computer Vision and Pattern Recognition
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4
von Khoun, Theara ; Poortinga, Ate ; Thwal, Nyein Soe ; et al.
Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement. 180(3):1593-1618
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5
von Chaya, Veasna ; Poortinga, Ate ; Nimol, Keo ; et al.
Schlagworte: Computer Science - Computers and Society; 68T07; I.2.6; I.5.1
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6
von Clinton, Nicholas ; Vollrath, Andreas ; D'annunzio, Remi ; et al.
Schlagworte: Computer Science - Computers and Society; Computer Science - Computer Vision and Pattern Recognition; Computer Science - Machine Learning
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7
von Nishan Kumar Biswas ; Thomas A. Stanley ; Dalia B. Kirschbaum ; et al.
Frontiers in Earth Science, Vol 10 (2022)
Schlagworte: Landslides; lower mekong countries; google earth engine (GEE); XGBoost (extreme gradient boosting); machine learning; satellite earth observation; Science
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8
von John Burns Kilbride ; Ate Poortinga ; Biplov Bhandari ; et al.
Remote Sensing, Vol 15, Iss 21, p 5223 (2023)
Schlagworte: Synthetic Aperture Radar; Sentinel-1; forest disturbance; deep learning; semantic segmentation; U-Net; Science
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9
von Timothy Mayer ; Ate Poortinga ; Biplov Bhandari ; et al.
ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol 2, Iss , Pp 100005- (2021)
Schlagworte: Image segmentation; Synthetic aperture radar; Surface water mapping; Deep learning; U-net; Google earth engine; Geography (General); G1-922; Surveying; TA501-625
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10
von Ate Poortinga ; Nyein Soe Thwal ; Nishanta Khanal ; et al.
ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol 1, Iss , Pp 100003- (2021)
Schlagworte: Mekong region; High resolution satellite imagery; MobileNetV2; U-net convolutional network; Deep-learning; Artificial intelligence; Geography (General); G1-922; Surveying; TA501-625
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11
von Preecha Prempree ; Donal Bisanzio ; Prayuth Sudathip ; et al.
Tropical Medicine and Infectious Disease, Vol 8, Iss 3, p 179 (2023)
Schlagworte: SEA; spatial analysis; environmental drivers; malaria elimination; disease modelling; Medicine
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12
von Jash R. Parekh ; Ate Poortinga ; Biplov Bhandari ; et al.
Remote Sensing, Vol 13, Iss 16, p 3166 (2021)
Schlagworte: impervious surfaces; remote sensing; machine learning; deep learning; Google Earth Engine; Science
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13
von David Saah ; Karis Tenneson ; Ate Poortinga ; et al.
International Journal of Applied Earth Observations and Geoinformation, Vol 85, Iss , Pp 101979- (2020)
Schlagworte: Land cover; Remote sensing; Mekong region; Google Earth Engine; Landsat; SERVIR; Physical geography; GB3-5030; Environmental sciences; GE1-350
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14
von Kittiphong Phongsapan ; Farrukh Chishtie ; Ate Poortinga ; et al.
Frontiers in Environmental Science, Vol 7 (2019)
Schlagworte: flood frequency; remote sensing; water management; Google Earth Engine; disaster preparedness; Myanmar; Environmental sciences; GE1-350
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15
von Ate Poortinga ; Quyen Nguyen ; Karis Tenneson ; et al.
Frontiers in Environmental Science, Vol 7 (2019)
Schlagworte: food security; land cover; earth observation; ecosystems; SERVIR; sustainability; Environmental sciences; GE1-350
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16
von David Saah ; Karis Tenneson ; Mir Matin ; et al.
Frontiers in Environmental Science, Vol 7 (2019)
Schlagworte: land cover/land use; GIS; remote sensing; Lower Mekong region; Hindu Kush region; Environmental sciences; GE1-350
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17
von Raja Ram Aryal ; Crystal Wespestad ; Robert Kennedy ; et al.
Remote Sensing, Vol 13, Iss 14, p 2666 (2021)
Schlagworte: deforestation; forest degradation; forest management; NDFI; CODED; Collect Earth Online; Science
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18
von Miguel Laverde-Barajas ; Gerald A. Corzo ; Ate Poortinga ; et al.
Remote Sensing, Vol 12, Iss 21, p 3538 (2020)
Schlagworte: bias correction; satellite-based precipitation; spatiotemporal analysis; object-based method; storm events; Science
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19
von Nishanta Khanal ; Mir Abdul Matin ; Kabir Uddin ; et al.
Remote Sensing, Vol 12, Iss 18, p 2888 (2020)
Schlagworte: remote sensing; temporal smoothing; google earth engine; machine learning; random forest; land cover; Science
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20
von Kel N. Markert ; Amanda M. Markert ; Timothy Mayer ; et al.
Remote Sensing, Vol 12, Iss 15, p 2469 (2020)
Schlagworte: Sentinel-1; pre-processing; Otsu threshold; surface water mapping; Southeast Asia; Google Earth engine; Science
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21
von Poortinga, Ate ; Nguyen, Quyen ; Thwal, Nyein Soe ; et al.
Cloud-Based Remote Sensing with Google Earth Engine : Fundamentals and Applications. :953-983
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22
von Ate Poortinga ; Aekkapol Aekakkararungroj ; Kritsana Kityuttachai ; et al.
Remote Sensing, Vol 12, Iss 9, p 1472 (2020)
Schlagworte: land cover change; land use planning; Mekong; remote sensing; machine learning; Science
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23
von Ate Poortinga ; Karis Tenneson ; Aurélie Shapiro ; et al.
Remote Sensing, Vol 11, Iss 7, p 831 (2019)
Schlagworte: landsat; sentinel; SAR; plantations; myanmar; rubber; palm oil; land cover mapping; uncertainty; error quantification; Google Earth Engine; Science
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24
von Pamela Louise M Tolentino ; Ate Poortinga ; Hideki Kanamaru ; et al.
PLoS ONE, Vol 11, Iss 10, p e0163941 (2016)
Schlagworte: Medicine; Science
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25
von Kel N. Markert ; Calla M. Schmidt ; Robert E. Griffin ; et al.
Remote Sensing, Vol 10, Iss 6, p 909 (2018)
Schlagworte: lower mekong basin; landsat collection; suspended sediment concentration; online application; google earth engine; Science
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