Found: 13
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Deep Learning-Based Automatic River Flow Estimation Using RADARSAT Imagery.
- Published in:
- Remote Sensing, 2024, v. 16, n. 10, p. 1808, doi. 10.3390/rs16101808
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- Article
Quantitative Study of the Effect of Water Content on Soil Texture Parameters and Organic Matter Using Proximal Visible—Near Infrared Spectroscopy.
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- Remote Sensing, 2022, v. 14, n. 15, p. 3510, doi. 10.3390/rs14153510
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- Article
The Potential of Using Radarsat-2 Satellite Image for Modeling and Mapping Wheat Yield in a Semiarid Environment.
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- Agriculture; Basel, 2022, v. 12, n. 3, p. 315, doi. 10.3390/agriculture12030315
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- Article
Using Ensemble-Based Systems with Near-Infrared Hyperspectral Data to Estimate Seasonal Snowpack Density.
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- Remote Sensing, 2022, v. 14, n. 5, p. N.PAG, doi. 10.3390/rs14051089
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- Article
Development of Pedotransfer Functions to Predict Soil Physical Properties in Southern Quebec (Canada).
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- Agronomy, 2022, v. 12, n. 2, p. 526, doi. 10.3390/agronomy12020526
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- Article
Flood Risk Communication Using ArcGIS StoryMaps.
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- Hydrology (2306-5338), 2021, v. 8, n. 4, p. 152, doi. 10.3390/hydrology8040152
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- Article
Estimating Snowpack Density from Near-Infrared Spectral Reflectance Using a Hybrid Model.
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- Remote Sensing, 2021, v. 13, n. 20, p. 4089, doi. 10.3390/rs13204089
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- Article
Seasonal Snowpack Classification Based on Physical Properties Using Near-Infrared Proximal Hyperspectral Data.
- Published in:
- Sensors (14248220), 2021, v. 21, n. 16, p. 5259, doi. 10.3390/s21165259
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- Article
Remote Retrieval of Suspended Particulate Matter in Inland Waters: Image-Based or Physical Atmospheric Correction Models?
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- Water (20734441), 2021, v. 13, n. 16, p. 2149, doi. 10.3390/w13162149
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- Article
How Accurate Is an Unmanned Aerial Vehicle Data-Based Model Applied on Satellite Imagery for Chlorophyll-a Estimation in Freshwater Bodies?
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- Remote Sensing, 2021, v. 13, n. 6, p. 1134, doi. 10.3390/rs13061134
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- Article
Advancing methods for water quality studies of Arctic rivers with remote sensing and ground-based measurements. Case study of the George river basin (Nunavik, Canada).
- Published in:
- Geophysical Research Abstracts, 2018, v. 20, p. 3119
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- Article
An Adaptive Model to Monitor Chlorophyll-a in Inland Waters in Southern Quebec Using Downscaled MODIS Imagery.
- Published in:
- Remote Sensing, 2014, v. 6, n. 7, p. 6446, doi. 10.3390/rs6076446
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- Article
Comparative Analysis of Four Models to Estimate Chlorophyll-a Concentration in Case-2 Waters Using MODerate Resolution Imaging Spectroradiometer (MODIS) Imagery.
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- Remote Sensing, 2012, v. 4, n. 8, p. 2373, doi. 10.3390/rs4082373
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- Article