Found: 10
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Mapping Building Heights at Large Scales Using Sentinel-1 Radar Imagery and Nighttime Light Data.
- Published in:
- Remote Sensing, 2024, v. 16, n. 18, p. 3371, doi. 10.3390/rs16183371
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- Article
Wetland Mapping in Great Lakes Using Sentinel-1/2 Time-Series Imagery and DEM Data in Google Earth Engine.
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- Remote Sensing, 2023, v. 15, n. 14, p. 3495, doi. 10.3390/rs15143495
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- Article
Satellite-Based Estimation of Soil Moisture Content in Croplands: A Case Study in Golestan Province, North of Iran.
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- Remote Sensing, 2023, v. 15, n. 8, p. 2155, doi. 10.3390/rs15082155
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- Article
Forty Years of Wetland Status and Trends Analyses in the Great Lakes Using Landsat Archive Imagery and Google Earth Engine.
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- Remote Sensing, 2022, v. 14, n. 15, p. 3778, doi. 10.3390/rs14153778
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- Article
ELULC-10, a 10 m European Land Use and Land Cover Map Using Sentinel and Landsat Data in Google Earth Engine.
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- Remote Sensing, 2022, v. 14, n. 13, p. 3041, doi. 10.3390/rs14133041
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- Article
Application of Google Earth Engine Cloud Computing Platform, Sentinel Imagery, and Neural Networks for Crop Mapping in Canada.
- Published in:
- Remote Sensing, 2020, v. 12, n. 21, p. 3561, doi. 10.3390/rs12213561
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- Article
A Fast Parallel GPS Acquisition Algorithm Based on Hybrid GPU and Multi-core CPU.
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- Wireless Personal Communications, 2019, v. 104, n. 4, p. 1355, doi. 10.1007/s11277-018-6088-4
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- Article
Adaptive thresholding for detecting building facades with or without openings in single-view oblique remote sensing images.
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- Journal of Applied Remote Sensing, 2021, v. 15, n. 3, p. 36511, doi. 10.1117/1.JRS.15.036511
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- Article
Shadow detection in very high resolution RGB images using a special thresholding on a new spectral–spatial index.
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- Journal of Applied Remote Sensing, 2020, v. 14, n. 1, p. 16503, doi. 10.1117/1.JRS.14.016503
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- Article
A two-level fusion for building irregularity detection in post-disaster VHR oblique images.
- Published in:
- Earth Science Informatics, 2020, v. 13, n. 2, p. 459, doi. 10.1007/s12145-020-00449-6
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- Article