Found: 12
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A Global Mosaic of Temporally Stable Pixels for Radiometric Calibration of Optical Satellite Sensors Using Landsat 8.
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- Remote Sensing, 2024, v. 16, n. 13, p. 2437, doi. 10.3390/rs16132437
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- Article
The Ground-Based Absolute Radiometric Calibration of the Landsat 9 Operational Land Imager.
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- Remote Sensing, 2024, v. 16, n. 6, p. 1101, doi. 10.3390/rs16061101
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- Article
Evaluation of Low-Cost Radiometer for Surface Reflectance Retrieval and Orbital Sensor's Validation.
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- Remote Sensing, 2023, v. 15, n. 9, p. 2444, doi. 10.3390/rs15092444
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- Article
Method of Validating Satellite Surface Reflectance Product Using Empirical Line Method.
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- Remote Sensing, 2023, v. 15, n. 9, p. 2240, doi. 10.3390/rs15092240
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- Article
The Development of Dark Hyperspectral Absolute Calibration Model Using Extended Pseudo Invariant Calibration Sites at a Global Scale: Dark EPICS-Global.
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- Remote Sensing, 2023, v. 15, n. 8, p. 2141, doi. 10.3390/rs15082141
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- Article
Classification and Evaluation of Extended PICS (EPICS) on a Global Scale for Calibration and Stability Monitoring of Optical Satellite Sensors.
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- Remote Sensing, 2021, v. 13, n. 17, p. 3350, doi. 10.3390/rs13173350
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- Article
Detection of Change Points in Pseudo-Invariant Calibration Sites Time Series Using Multi-Sensor Satellite Imagery.
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- Remote Sensing, 2021, v. 13, n. 11, p. 2079, doi. 10.3390/rs13112079
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- Article
Extended Pseudo Invariant Calibration Site-Based Trend-to-Trend Cross-Calibration of Optical Satellite Sensors.
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- Remote Sensing, 2021, v. 13, n. 8, p. 1545, doi. 10.3390/rs13081545
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- Article
Hyperspectral Empirical Absolute Calibration Model Using Libya 4 Pseudo Invariant Calibration Site.
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- Remote Sensing, 2021, v. 13, n. 8, p. 1538, doi. 10.3390/rs13081538
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- Article
Evaluation Analysis of Landsat Level-1 and Level-2 Data Products Using In Situ Measurements.
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- Remote Sensing, 2020, v. 12, n. 16, p. 2597, doi. 10.3390/rs12162597
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- Article
New Approach for Temporal Stability Evaluation of Pseudo-Invariant Calibration Sites (PICS).
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- Remote Sensing, 2019, v. 11, n. 12, p. 1502, doi. 10.3390/rs11121502
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- Article
Evaluation of RadCalNet Output Data Using Landsat 7, Landsat 8, Sentinel 2A, and Sentinel 2B Sensors.
- Published in:
- Remote Sensing, 2019, v. 11, n. 5, p. 541, doi. 10.3390/rs11050541
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- Article