Found: 17
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A Ground Point Fitting Method for Winter Wheat Height Estimation Using UAV-Based SfM Point Cloud Data.
- Published in:
- Drones (2504-446X), 2023, v. 7, n. 7, p. 406, doi. 10.3390/drones7070406
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- Article
Estimating Effective Leaf Area Index of Winter Wheat Based on UAV Point Cloud Data.
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- Drones (2504-446X), 2023, v. 7, n. 5, p. 299, doi. 10.3390/drones7050299
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- Article
Method for soil moisture retrieval in arid prairie using TerraSAR-X data.
- Published in:
- Journal of Applied Remote Sensing, 2015, v. 9, p. 1, doi. 10.1117/1.JRS.9.096062
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- Article
Integration method to estimate above-ground biomass in arid prairie regions using active and passive remote sensing data.
- Published in:
- Journal of Applied Remote Sensing, 2014, v. 8, p. 1, doi. 10.1117/1.JRS.8.083677
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- Article
Rice False Smut Monitoring Based on Band Selection of UAV Hyperspectral Data.
- Published in:
- Remote Sensing, 2023, v. 15, n. 12, p. 2961, doi. 10.3390/rs15122961
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- Article
A Study on Spatial and Temporal Dynamic Changes of Desertification in Northern China from 2000 to 2020.
- Published in:
- Remote Sensing, 2023, v. 15, n. 5, p. 1368, doi. 10.3390/rs15051368
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- Article
Soil Moisture Retrieval Using SAR Backscattering Ratio Method during the Crop Growing Season.
- Published in:
- Remote Sensing, 2022, v. 14, n. 13, p. 3210, doi. 10.3390/rs14133210
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- Publication type:
- Article
Estimating Soil Moisture over Winter Wheat Fields during Growing Season Using RADARSAT-2 Data.
- Published in:
- Remote Sensing, 2022, v. 14, n. 9, p. 2232, doi. 10.3390/rs14092232
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- Publication type:
- Article
Relationships between Burn Severity and Environmental Drivers in the Temperate Coniferous Forest of Northern China.
- Published in:
- Remote Sensing, 2021, v. 13, n. 24, p. 5127, doi. 10.3390/rs13245127
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- Article
Extraction of Areas of Rice False Smut Infection Using UAV Hyperspectral Data.
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- Remote Sensing, 2021, v. 13, n. 16, p. 3185, doi. 10.3390/rs13163185
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- Article
Using Machine Learning for Estimating Rice Chlorophyll Content from In Situ Hyperspectral Data.
- Published in:
- Remote Sensing, 2020, v. 12, n. 18, p. 3104, doi. 10.3390/rs12183104
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- Article
Correction: Wang, L., et al. Assessment of the Dual Polarimetric Sentinel-1A Data for Forest Fuel Moisture Content Estimation. Remote Sensing 2019, 11(13), 1568.
- Published in:
- 2020
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- Publication type:
- Correction Notice
Retrieving Surface Soil Moisture over Wheat and Soybean Fields during Growing Season Using Modified Water Cloud Model from Radarsat-2 SAR Data.
- Published in:
- Remote Sensing, 2019, v. 11, n. 16, p. 1956, doi. 10.3390/rs11161956
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- Publication type:
- Article
Assessment of the Dual Polarimetric Sentinel-1A Data for Forest Fuel Moisture Content Estimation.
- Published in:
- Remote Sensing, 2019, v. 11, n. 13, p. 1568, doi. 10.3390/rs11131568
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- Publication type:
- Article
A Synergistic Methodology for Soil Moisture Estimation in an Alpine Prairie Using Radar and Optical Satellite Data.
- Published in:
- Remote Sensing, 2014, v. 6, n. 11, p. 10966, doi. 10.3390/rs61110966
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- Publication type:
- Article
Assessment of Different Vegetation Parameters for Parameterizing the Coupled Water Cloud Model and Advanced Integral Equation Model for Soil Moisture Retrieval Using Time Series Sentinel-1A Data.
- Published in:
- Photogrammetric Engineering & Remote Sensing, 2019, v. 85, n. 1, p. 43, doi. 10.14358/PERS.85.1.43
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- Article
An Extended Approach for Biomass Estimation in a Mixed Vegetation Area Using ASAR and TM Data.
- Published in:
- Photogrammetric Engineering & Remote Sensing, 2014, v. 80, n. 5, p. 429, doi. 10.14358/PERS.80.5.429
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- Publication type:
- Article