Correction: Hu, A. Using Bidirectional Long Short-Term Memory Method for the Height of F2 Peak Forecasting from Ionosonde Measurements in the Australian Region. Remote Sens. 2018, 10, 1658.
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- 2018
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- Correction Notice
Works matching IS 20724292 AND DT 2018 AND VI 10 AND IP 11
Results: 189
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Sensitivity of TDS-1 GNSS-R Reflectivity to Soil Moisture: Global and Regional Differences and Impact of Different Spatial Scales.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1856, doi. 10.3390/rs10111856
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Three-Dimensional Cloud Volume Reconstruction from the Multi-angle Imaging SpectroRadiometer.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1858, doi. 10.3390/rs10111858
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4
Comparison of Artificial Intelligence and Physical Models for Forecasting Photosynthetically-Active Radiation.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1855, doi. 10.3390/rs10111855
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5
Erratum: Ramses A.M. et al. Vegetation Characterization through the Use of Precipitation-Affected SAR Signals. Remote Sens. 2018, 10, 1647.
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- 2018
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- Correction Notice
6
Utilizing Multilevel Features for Cloud Detection on Satellite Imagery.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1853, doi. 10.3390/rs10111853
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7
Evaluation of Collection-6 MODIS Land Surface Temperature Product Using Multi-Year Ground Measurements in an Arid Area of Northwest China.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1852, doi. 10.3390/rs10111852
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8
Using TanDEM-X Pursuit Monostatic Observations with a Large Perpendicular Baseline to Extract Glacial Topography.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1851, doi. 10.3390/rs10111851
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- Article
9
Forest Cover and Vegetation Degradation Detection in the Kavango Zambezi Transfrontier Conservation Area Using BFAST Monitor.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1850, doi. 10.3390/rs10111850
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10
Aboveground Tree Biomass Estimation of Sparse Subalpine Coniferous Forest with UAV Oblique Photography.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1849, doi. 10.3390/rs10111849
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Landscape-Scale Aboveground Biomass Estimation in Buffer Zone Community Forests of Central Nepal: Coupling In Situ Measurements with Landsat 8 Satellite Data.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1848, doi. 10.3390/rs10111848
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12
Long-Term and High-Resolution Global Time Series of Brightness Temperature from Copula-Based Fusion of SMAP Enhanced and SMOS Data.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1842, doi. 10.3390/rs10111842
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Spatial Consistency Assessments for Global Land-Cover Datasets: A Comparison among GLC2000, CCI LC, MCD12, GLOBCOVER and GLCNMO.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1846, doi. 10.3390/rs10111846
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Estimating Tree Position, Diameter at Breast Height, and Tree Height in Real-Time Using a Mobile Phone with RGB-D SLAM.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1845, doi. 10.3390/rs10111845
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15
Sparse Cost Volume for Efficient Stereo Matching.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1844, doi. 10.3390/rs10111844
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16
The Dependence of Sea SAR Image Distribution Parameters on Surface Wave Characteristics.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1843, doi. 10.3390/rs10111843
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17
Characteristics of BeiDou-3 Experimental Satellite Clocks.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1847, doi. 10.3390/rs10111847
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18
Mapping Paddy Rice Using a Convolutional Neural Network (CNN) with Landsat 8 Datasets in the Dongting Lake Area, China.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1840, doi. 10.3390/rs10111840
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19
The AQUI Soil Moisture Network for Satellite Microwave Remote Sensing Validation in South-Western France.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1839, doi. 10.3390/rs10111839
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Using Landsat-8 Images for Quantifying Suspended Sediment Concentration in Red River (Northern Vietnam).
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- Remote Sensing, 2018, v. 10, n. 11, p. 1841, doi. 10.3390/rs10111841
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21
Towards a 20 m Global Building Map from Sentinel-1 SAR Data.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1833, doi. 10.3390/rs10111833
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Hybrid Camera Array-Based UAV Auto-Landing on Moving UGV in GPS-Denied Environment.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1829, doi. 10.3390/rs10111829
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23
TomoSAR Imaging for the Study of Forested Areas: A Virtual Adaptive Beamforming Approach.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1822, doi. 10.3390/rs10111822
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24
Spectral Responses of As and Pb Contamination in Tailings of a Hydrothermal Ore Deposit: A Case Study of Samgwang Mine, South Korea.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1830, doi. 10.3390/rs10111830
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25
ISAR Autofocus Imaging Algorithm for Maneuvering Targets Based on Phase Retrieval and Gabor Wavelet Transform.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1810, doi. 10.3390/rs10111810
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26
Retrieval of the Fine-Mode Aerosol Optical Depth over East China Using a Grouped Residual Error Sorting (GRES) Method from Multi-Angle and Polarized Satellite Data.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1838, doi. 10.3390/rs10111838
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A Point Pattern Chamfer Registration of Optical and SAR Images Based on Mesh Grids.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1837, doi. 10.3390/rs10111837
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28
A Noise-Resilient Online Learning Algorithm for Scene Classification.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1836, doi. 10.3390/rs10111836
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29
Developing an Ensemble Precipitation Algorithm from Satellite Products and Its Topographical and Seasonal Evaluations Over Pakistan.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1835, doi. 10.3390/rs10111835
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30
Capability of Remotely Sensed Drought Indices for Representing the Spatio–Temporal Variations of the Meteorological Droughts in the Yellow River Basin.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1834, doi. 10.3390/rs10111834
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Methodology for Participatory GIS Risk Mapping and Citizen Science for Solotvyno Salt Mines.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1828, doi. 10.3390/rs10111828
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Generalized Hierarchical Model-Based Estimation for Aboveground Biomass Assessment Using GEDI and Landsat Data.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1832, doi. 10.3390/rs10111832
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A Comparison between the MODIS Product (MOD17A2) and a Tide-Robust Empirical GPP Model Evaluated in a Georgia Wetland.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1831, doi. 10.3390/rs10111831
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34
Change Detection in Hyperspectral Images Using Recurrent 3D Fully Convolutional Networks.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1827, doi. 10.3390/rs10111827
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A Comparison of Imputation Approaches for Estimating Forest Biomass Using Landsat Time-Series and Inventory Data.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1825, doi. 10.3390/rs10111825
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Modified Superpixel Segmentation for Digital Surface Model Refinement and Building Extraction from Satellite Stereo Imagery.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1824, doi. 10.3390/rs10111824
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37
Infrared Small Target Detection via Non-Convex Rank Approximation Minimization Joint l2,1 Norm.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1821, doi. 10.3390/rs10111821
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38
The VIIRS Sea-Ice Albedo Product Generation and Preliminary Validation.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1826, doi. 10.3390/rs10111826
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39
Object-Based Plastic-Mulched Landcover Extraction Using Integrated Sentinel-1 and Sentinel-2 Data.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1820, doi. 10.3390/rs10111820
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40
Does Anthropogenic Land Use Change Play a Role in Changes of Precipitation Frequency and Intensity over the Loess Plateau of China?
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- Remote Sensing, 2018, v. 10, n. 11, p. 1818, doi. 10.3390/rs10111818
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41
An Unsupervised Classification Algorithm for Multi-Temporal Irrigated Area Mapping in Central Asia.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1823, doi. 10.3390/rs10111823
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42
Mass Balance of Novaya Zemlya Archipelago, Russian High Arctic, Using Time-Variable Gravity from GRACE and Altimetry Data from ICESat and CryoSat-2.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1817, doi. 10.3390/rs10111817
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43
Prediction of Drought on Pentad Scale Using Remote Sensing Data and MJO Index through Random Forest over East Asia.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1811, doi. 10.3390/rs10111811
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Multi-Scale Object Histogram Distance for LCCD Using Bi-Temporal Very-High-Resolution Remote Sensing Images.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1809, doi. 10.3390/rs10111809
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45
What Rainfall Does Not Tell Us—Enhancing Financial Instruments with Satellite-Derived Soil Moisture and Evaporative Stress.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1819, doi. 10.3390/rs10111819
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46
Detection of Building and Infrastructure Instabilities by Automatic Spatiotemporal Analysis of Satellite SAR Interferometry Measurements.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1816, doi. 10.3390/rs10111816
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47
Measuring Landscape Albedo Using Unmanned Aerial Vehicles.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1812, doi. 10.3390/rs10111812
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48
Developing a Quality Index Associated with Rain for Hurricane Winds from SAR.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1783, doi. 10.3390/rs10111783
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49
Space Subdivision of Indoor Mobile Laser Scanning Data Based on the Scanner Trajectory.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1815, doi. 10.3390/rs10111815
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50
Determining the Mechanisms that Influence the Surface Temperature of Urban Forest Canopies by Combining Remote Sensing Methods, Ground Observations, and Spatial Statistical Models.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1814, doi. 10.3390/rs10111814
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- Article