Showing 121 - 140 results of 162 for search '"Satellite imagery"', query time: 0.06s Refine Results
  1. 121

    ‘DeltaCAN - A new data set of Canadian Arctic and subarctic coastal deltas’ by Mette Bendixen, Beatrice Roberge, Jenny Park, David Didier, Antoine Boisson, Haley Yorston, Lindsay Trottier, Ashley Hoblyn, Jackie Lee, Sadie MacDonald, Shan Zhao, Lauren Traboulsee, Arthur Rebillard, Lars Lønsmann Iversen

    Published 2025-01-01
    “…The inventory is based on inspection of remotely-sensed satellite imageries, developed through an expert-based mapping approach where we implemented a quality control mechanism to assess the completeness of the data set. …”
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    Article
  2. 122

    A remote monitoring approach for coastal engineering projects by C. Cabezas-Rabadán, J. E. Pardo-Pascual, J. Palomar-Vázquez, A. Cooper

    Published 2025-01-01
    “…Initially, satellite-derived waterlines are identified and extracted from publicly available satellite imagery of the Landsat 5, 7, 8, and 9, and Sentinel-2 constellations using the automatic shoreline extraction tool SHOREX. …”
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  3. 123

    Rapid Landslide Detection Following an Extreme Rainfall Event Using Remote Sensing Indices, Synthetic Aperture Radar Imagery, and Probabilistic Methods by Aikaterini-Alexandra Chrysafi, Paraskevas Tsangaratos, Ioanna Ilia, Wei Chen

    Published 2024-12-01
    “…Using Google Earth Engine, we processed satellite imagery to calculate these indices, enabling the assessment of vegetation health, soil moisture, and exposed soil areas, which are key indicators of landslide activity. …”
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    Article
  4. 124

    Fine-scale forest classification with multi-temporal sentinel-1/2 imagery using a temporal convolutional neural network by Rongfei Duan, Chunlin Huang, Peng Dou, Jinliang Hou, Ying Zhang, Juan Gu

    Published 2025-12-01
    “…However, spectral similarity between different vegetation types and the issue of mixed pixels in medium-resolution satellite imagery remain significant challenges for fine-scale forest classification. …”
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  5. 125

    Construction of Multi-Scale Fusion Attention Unified Perceptual Parsing Networks for Semantic Segmentation of Mangrove Remote Sensing Images by Xin Wang, Yu Zhang, Wenquan Xu, Hanxi Wang, Jingye Cai, Qin Qin, Qin Wang, Jing Zeng

    Published 2025-01-01
    “…To address these challenges, we present two main contributions. (1) Using multi-source high-resolution satellite imagery from China’s new generation of Earth observation satellites, we constructed the Mangrove Semantic Segmentation Dataset of Beihai, Guangxi (MSSDBG); (2) We propose a novel Multi-scale Fusion Attention Unified Perceptual Network (MFA-UperNet) for precise mangrove segmentation. …”
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  6. 126

    Lighting Spectrum Optimization With Deep Learning for Moss Species Classification by Kenichi Ito, Pauli Falt, Markku Hauta-Kasari, Shigeki Nakauchi

    Published 2025-01-01
    “…Remote sensing technology using satellite imagery and unmanned aerial vehicles (UAVs) reduces labor, but it is difficult to determine the species that are surrounded by a canopy in forests. …”
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  7. 127

    Testing the Applicability and Transferability of Data-Driven Geospatial Models for Predicting Soil Erosion in Vineyards by Tünde Takáts, László Pásztor, Mátyás Árvai, Gáspár Albert, János Mészáros

    Published 2025-01-01
    “…RS data were represented by multi-temporal Sentinel-2 satellite imagery data, which were supplemented by (i) topographic covariates derived from a UAV-based digital surface model and (ii) digital primary soil property maps. …”
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  8. 128

    Insights from feature tracking of optical satellite data for studying rock glacier kinematics in the Northern Tien Shan by Ella Wood, Ella Wood, Tobias Bolch, Tobias Bolch, Richard Streeter

    Published 2025-01-01
    “…We compared different sources of satellite imagery, including 0.5m Pléiades, 3m Planet, 10m Sentinel-2 and 15m Landsat-8 data. …”
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  9. 129

    The Vanishing Volcanic Geoheritage of a Key Scoria Cone and its Significance in Volcanic Hazard Resilience of the Active Monogenetic Volcanic Field near Al Madinah, Kingdom of Saud... by Karoly Nemeth, Mohammed Moufti, Mahmoud Ashor, Abdulrahman Sowaigh, Turki Hablil, Khalid Abdulhafez, Turki Sehli

    Published 2023-06-01
    “…Since the first research was 20 years ago, a restudy of the present-day condition of the scoria cone was conducted. Applying satellite imagery, remote sensing and direct site visit, we find that about a third of the cone surface area has been modified and at least a quarter of its volume has vanished. …”
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  10. 130

    GIS and remote sensing based assessment of West Rapti River channel migration in Nepal by Sandesh Gharti, Prabin Poudel, Ramesh Silwal, Suchana Baniya, Jeetendra Gautam, Om Mishra, Sijan Bista, Dipendra Dhungana

    Published 2025-01-01
    “…Using freely available Landsat satellite imagery we extracted water surface features through the Normalized Difference Water Index and generated 27 cross-sections (CS) to track channel shift. …”
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  11. 131

    Mapping forest-agroforest frontiers in the Peruvian Amazon with deep learning and PlanetScope satellite data by Wanting Yang, Daniel Ortiz-Gonzalo, Xiaoye Tong, Dimitri Gominski, Rasmus Fensholt

    Published 2025-05-01
    “…To achieve this, we combine deep learning and remote sensing data, including 3-m PlanetScope satellite imagery, a Digital Elevation Model (DEM), and temporal data from the Landtrendr change detection algorithm. …”
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  12. 132

    Analysis of Forest Cover in the Tumba-Lediima Nature Reserve (RTL-DRC) by Sylvestre Frey, André Musas A Musas, Nestor Anzola Kibamba, Sebastien Kidushi Mboma, Tege Simboni Simboni, Djonive Munene Asidi

    Published 2025-02-01
    “…Using Landsat 7 and 8 satellite imagery, combined with NDVI calculation and supervised classifications validated by a high Kappa coefficient, this study provides an accurate mapping of land cover change. …”
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  13. 133

    DAShip: A Large-Scale Annotated Dataset for Ship Detection Using Distributed Acoustic Sensing Technique by Wenjin Huang, Shaoyi Chen, Yichang Wu, Ruihua Li, Tianrui Li, Yihua Huang, Xiaochun Cao, Zhaohui Li

    Published 2025-01-01
    “…Ship monitoring methods based on coastal video surveillance, satellite imagery, and synthetic aperture radar have been well developed. …”
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  14. 134

    Synoptic and Mesoscale Atmospheric Patterns That Triggered the Natural Disasters in the Metropolitan Region of Belo Horizonte, Brazil, in January 2020 by Thaís Aparecida Cortez Pinto, Enrique Vieira Mattos, Michelle Simões Reboita, Diego Oliveira de Souza, Paula S. S. Oda, Fabrina Bolzan Martins, Thiago Souza Biscaro, Glauber Willian de Souza Ferreira

    Published 2025-01-01
    “…To achieve this, we analyzed data from various sources, including natural disaster records from the National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), GOES-16 satellite imagery, soil moisture data from the Soil Moisture Active Passive (SMAP) satellite mission, ERA5 reanalysis, reflectivity from weather radar, and lightning data from the Lightning Location System. …”
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  15. 135

    Automatic Grape Cluster Detection Combining YOLO Model and Remote Sensing Imagery by Ana María Codes-Alcaraz, Nicola Furnitto, Giuseppe Sottosanti, Sabina Failla, Herminia Puerto, Carmen Rocamora-Osorio, Pedro Freire-García, Juan Miguel Ramírez-Cuesta

    Published 2025-01-01
    “…Precision agriculture has recently experienced significant advancements through the use of technologies such as unmanned aerial vehicles (UAVs) and satellite imagery, enabling more efficient and precise agricultural management. …”
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  16. 136

    Utilizing Remote Sensing to Quantify Evapotranspiration: A Case Study of the Saiss Basin (Morocco) by Oumou Abdellah, Essahlaoui Ali, Khrabcha Abdelali, Essahlaoui Narjisse, Alitane Abdennabi, Kassou Amina, El Hafyani Mohammed, Van Rompaey Anton, Gobin Anne

    Published 2025-01-01
    “…In this study, the METRIC model was applied using Landsat satellite imagery and climatic data. This involves resolving the surface energy balance equation by calculating net radiation, soil heat flux, and sensible heat flux. …”
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  17. 137

    Exploring the feasibility of GF1-WFV data in estimating SPAD using spatiotemporal fusion algorithms by Annan Zeng, Jianli Ding, Jinjie Wang, Lijing Han, Haiyan Han, Shuang Zhao, Xiangyu Ge

    Published 2025-05-01
    “…This study provides comprehensive insights into dynamic and large-scale monitoring of vegetation chlorophyll content, particularly in scenarios in which satellite imagery is unavailable.…”
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  18. 138

    Simultaneous Observation of Equatorial Plasma Bubbles and Traveling Ionospheric Disturbances Over Indonesia Following the 15 January 2022 Tonga Volcano Eruption by Asnawi Husin, Varuliantor Dear, Agri Faturahman, Sefria Anggarani, Annis Siradj Mardiani, Adi Purwono, Jiyo Harjosuwito, Rezy Pradipta

    Published 2025-01-01
    “…Observation data from the Indonesian global navigation satellite system (GNSS) CORS network, ionosondes, and GNSS ionospheric scintillation and TEC monitor receivers, in conjunction with the Himawari‐8 satellite imagery, were used in the analysis. The Lamb waves from the eruption, traveling at ∼310 m/s, reached eastern part of Indonesia (∼5,000 km from Tonga) approximately 4 hr after the eruption. …”
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  19. 139

    Influence of Land-Use and Landcover on the Nest Distribution and Breeding Success of Grey Crowned Crane (Balearica Regulorum) In Kiyanja- Kaku Wetland Ecosystem. by Tayebwa, Gilbert

    Published 2024
    “…To collect data, we used a combination of satellite imagery, GPS ground truthing, and field observations. …”
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    Thesis
  20. 140

    Delineating urban flooding when incorporating community stormwater knowledge by Madeline Scolio, Peleg Kremer, Virginia Smith, Achira Amur, Bridget Wadzuk, Kate Homet, Eric Devlin, Md Abdullah Al Mehedi, Laura Moore

    Published 2025-01-01
    “…An array of data, including remotely sensed satellite imagery after major flooding events, Federal Emergency Management Agency’s Special Flood Hazard Areas, First Street Foundation’s Flood Factor, road closures, National Flood Insurance Program claims, and community surveys, were compared for the study areas. …”
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