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Comprehensive Evaluation and Error-Component Analysis of Four Satellite-Based Precipitation Estimates against Gauged Rainfall over Mainland China
Published 2022-01-01“…The Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (IMERG) V06 product has been widely studied, but the errors and the source of the errors within IMERG over diverse climate regions still need to be quantified. …”
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723
Apports de l’imagerie satellite pour le suivi de l’impact des événements cycloniques à Madagascar
Published 2020-04-01“…The results showed that satellite imagery is suitable for the quantification of hurricane-related floods over Madagascar territory. …”
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724
Usage of Satellite Imagery to Determine Distribution of Dacrycarpus imbricatus (Blume) De Laub. on The Tapak Hill, Batukahu Natural Reserve Bali
Published 2017-07-01“…This study aimed to determine the location and distribution of D. imbricatus using Pleaides satellite image that had a high spatial resolution. …”
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725
Assessing terrain shifts and infrastructure impact: A dual approach using satellite imagery and UAV data in the Cibedug, Rongga landslide
Published 2025-01-01“…The research integrates high-resolution satellite imagery and UAV data to analyse the vertical, horizontal, and rotational displacements caused by the landslide. …”
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726
The Impact of (DEM) Accuracy and (LC/LU) Resolution on the Watersheds Areas
Published 2022-03-01Subjects: Get full text
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727
Informed Design of a Gravity Science Experiment for the Future Geophysical Investigation of the Uranian Moons
Published 2025-01-01Subjects: Get full text
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728
TEMPERATURA DE SUPERFICIE EN EL VALLE DEL RÍO NEUQUÉN UTILIZANDO IMÁGENES LANDSAT
Published 2011-12-01Subjects: “…Satellite…”
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729
National Exposed Sediment Search and Inventory (NESSI): Utilizing Satellite Imagery and Machine Learning to Identify Dredged Sediment Placement Site Recovery
Published 2025-01-01“…The National Exposed Sediment Search and Inventory (NESSI) was built to show the capability of using machine learning techniques to identify dredged sediments. A combination of satellite imagery data obtained and processed using Google Earth Engine and machine learning algorithms were applied at known dredged material placement sites to develop a time series of dredged material placement events and subsequent site recovery. …”
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730
Assessment of land cover/land use changes using object-oriented processing of satellite imageries (1985-2015) in the Rozechai Watershed of Urmia
Published 2022-09-01“…The purpose of the present study was to evaluate land cover/ land use changes at the Rozechai Watershed during the period of 30-years 1985-2015 using Landsat 5 and Landsat 7 satellite imageries such as TM and ETM+ sensors; plus, land use maps were prepared using TerrSet software and object-oriented classification in 1985 and 2000 years. …”
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731
Monitoring Soil Salinity in Arid Areas of Northern Xinjiang Using Multi-Source Satellite Data: A Trusted Deep Learning Framework
Published 2025-01-01Subjects: Get full text
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732
Real-Time Cyber-Physical Digital Twin for Low Earth Orbit Satellite Constellation Network Enhanced Wide-Area Power Grid
Published 2024-01-01“…Low Earth orbit (LEO) satellite networks, such as SpaceX's Starlink, offer enhanced communication potential for contemporary power grid measurement and control. …”
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733
Multi-Layer Perceptron Model Integrating Multi-Head Attention and Gating Mechanism for Global Navigation Satellite System Positioning Error Estimation
Published 2025-01-01Subjects: “…global navigation satellite system…”
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734
A Nonlinear Hybrid Algorithm for Retrieving Land Surface Temperatures From Chinese Atmospheric Environment Monitoring Satellite Thermal Infrared Data
Published 2025-01-01Subjects: “…DQ-1 satellite…”
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735
Multimodel Combination Bathymetry Inversion Approach Based on Geomorphic Segmentation in Coral Reef Habitats Using ICESat-2 and Multispectral Satellite Images
Published 2025-01-01Subjects: “…Cloud and Land Elevation Satellite-2 (ICESat-2)…”
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736
Deriving Full‐Coverage and Fine‐Scale XCO2 Across China Based on OCO‐2 Satellite Retrievals and CarbonTracker Output
Published 2022-06-01“…We developed a machine learning model to fill the data gaps in the Orbiting Carbon Observatory 2 satellite retrievals across China during 2015–2018, with cross‐validation R2 = 0.95 and RMSE = 0.91 ppm. …”
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737
Automated Global Classification of Surface Layer Stratification Using High‐Resolution Sea Surface Roughness Measurements by Satellite Synthetic Aperture Radar
Published 2022-06-01“…Data from 2016 to 2019 are used to examine spatial and temporal variation in these state estimates in terms of expected wind and thermal forcing. This new satellite‐based approach for detecting air‐sea stratification has implications for weather modeling and air‐sea flux products.…”
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Analysis of Land Displacement Utilizing Sentinel-1 Satellite Imagery and InSAR Technique: A Case Study in Kern County, California
Published 2024-12-01“…This study investigates patterns of land displacement in Kern County, California, using Sentinel-1 satellite imagery and the Interferometric Synthetic Aperture Radar (InSAR) technique. …”
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