Found: 13
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Identification of Ecosystem Functional Types from Coarse Resolution Imagery Using a Self-Organizing Map Approach: A Case Study for Spain.
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- Remote Sensing, 2014, v. 6, n. 11, p. 11391, doi. 10.3390/rs61111391
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- Article
Noise Reduction and Gap Filling of fAPAR Time Series Using an Adapted Local Regression Filter.
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- Remote Sensing, 2014, v. 6, n. 9, p. 8238, doi. 10.3390/rs6098238
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- Article
Understanding deep learning in land use classification based on Sentinel-2 time series.
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- Scientific Reports, 2020, v. 10, n. 1, p. N.PAG, doi. 10.1038/s41598-020-74215-5
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- Article
Assessing the Sentinel-2 Capabilities to Identify Abandoned Crops Using Deep Learning.
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- Agronomy, 2021, v. 11, n. 4, p. 654, doi. 10.3390/agronomy11040654
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- Article
A Copernicus Sentinel-1 and Sentinel-2 Classification Framework for the 2020+ European Common Agricultural Policy: A Case Study in València (Spain).
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- Agronomy, 2019, v. 9, n. 9, p. 556, doi. 10.3390/agronomy9090556
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- Article
The Potential of High Resolution (5 m) RapidEye Optical Data to Estimate Above Ground Biomass at the National Level over Tanzania.
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- Forests (19994907), 2019, v. 10, n. 2, p. 107, doi. 10.3390/f10020107
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- Article
Surface ALbedo VALidation (SALVAL) Platform: Towards CEOS LPV Validation Stage 4—Application to Three Global Albedo Climate Data Records.
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- Remote Sensing, 2023, v. 15, n. 4, p. 1081, doi. 10.3390/rs15041081
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- Article
ME-Net: A Deep Convolutional Neural Network for Extracting Mangrove Using Sentinel-2A Data.
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- Remote Sensing, 2021, v. 13, n. 7, p. 1292, doi. 10.3390/rs13071292
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- Article
Remote Sensing and Bio-Geochemical Modeling of Forest Carbon Storage in Spain.
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- Remote Sensing, 2020, v. 12, n. 9, p. 1356, doi. 10.3390/rs12091356
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- Article
Climate Data Records of Vegetation Variables from Geostationary SEVIRI/MSG Data: Products, Algorithms and Applications.
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- Remote Sensing, 2019, v. 11, n. 18, p. 2103, doi. 10.3390/rs11182103
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- Article
A Critical Comparison of Remote Sensing Leaf Area Index Estimates over Rice-Cultivated Areas: From Sentinel-2 and Landsat-7/8 to MODIS, GEOV1 and EUMETSAT Polar System.
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- Remote Sensing, 2018, v. 10, n. 5, p. 763, doi. 10.3390/rs10050763
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- Article
Spatial Rice Yield Estimation Based on MODIS and Sentinel-1 SAR Data and ORYZA Crop Growth Model.
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- Remote Sensing, 2018, v. 10, n. 2, p. 293, doi. 10.3390/rs10020293
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- Article
Exploitation of SAR and Optical Sentinel Data to Detect Rice Crop and Estimate Seasonal Dynamics of Leaf Area Index.
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- Remote Sensing, 2017, v. 9, n. 3, p. 248, doi. 10.3390/rs9030248
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- Article