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1
Performance of Smoothing Methods for Reconstructing NDVI Time-Series and Estimating Vegetation Phenology from MODIS Data
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Performance of Smoothing Methods for Reconstructing NDVI Time-Series and Estimating Vegetation Phenology from MODIS Data

Remote sensing (Basel, Switzerland), 2017-12, Vol.9 (12), p.1271 [Peer Reviewed Journal]

Copyright MDPI AG 2017 ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs9121271

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2
Global assessment of ocean carbon export by combining satellite observations and food-web models
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Global assessment of ocean carbon export by combining satellite observations and food-web models

Global biogeochemical cycles, 2014-03, Vol.28 (3), p.181-196 [Peer Reviewed Journal]

2014. American Geophysical Union. All Rights Reserved. ;ISSN: 0886-6236 ;EISSN: 1944-9224 ;DOI: 10.1002/2013GB004743

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3
Sentinel-2 Data for Land Cover/Use Mapping: A Review
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Sentinel-2 Data for Land Cover/Use Mapping: A Review

Remote sensing (Basel, Switzerland), 2020-07, Vol.12 (14), p.2291 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12142291

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4
Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network
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Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network

Remote sensing (Basel, Switzerland), 2020-02, Vol.12 (3), p.582 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12030582

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5
Spatial-Spectral Transformer for Hyperspectral Image Classification
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Spatial-Spectral Transformer for Hyperspectral Image Classification

Remote sensing (Basel, Switzerland), 2021-02, Vol.13 (3), p.498 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13030498

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6
Review: Deep Learning on 3D Point Clouds
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Review: Deep Learning on 3D Point Clouds

Remote sensing (Basel, Switzerland), 2020-06, Vol.12 (11), p.1729 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12111729

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7
An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation
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An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation

Remote sensing (Basel, Switzerland), , Vol.8 (6), p.501 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs8060501

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8
Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A Review
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Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A Review

Remote sensing (Basel, Switzerland), 2020-04, Vol.12 (7), p.1135 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12071135

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9
Building Extraction in Very High Resolution Remote Sensing Imagery Using Deep Learning and Guided Filters
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Building Extraction in Very High Resolution Remote Sensing Imagery Using Deep Learning and Guided Filters

Remote sensing (Basel, Switzerland), 2018-01, Vol.10 (1), p.144 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs10010144

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10
A Soil Erosion Indicator for Supporting Agricultural, Environmental and Climate Policies in the European Union
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A Soil Erosion Indicator for Supporting Agricultural, Environmental and Climate Policies in the European Union

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (9), p.1365 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12091365

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11
LS-SSDD-v1.0: A Deep Learning Dataset Dedicated to Small Ship Detection from Large-Scale Sentinel-1 SAR Images
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LS-SSDD-v1.0: A Deep Learning Dataset Dedicated to Small Ship Detection from Large-Scale Sentinel-1 SAR Images

Remote sensing (Basel, Switzerland), 2020-09, Vol.12 (18), p.2997 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12182997

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12
A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection
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A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (10), p.1662 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12101662

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13
Characterizing and mapping intensity of land use in large basins through the concept of land use capability
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Characterizing and mapping intensity of land use in large basins through the concept of land use capability

Environmental earth sciences, 2023-03, Vol.82 (6), Article 151 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 1866-6280 ;EISSN: 1866-6299 ;DOI: 10.1007/s12665-023-10811-8

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14
Mapping forest canopy height globally with spaceborne lidar
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Mapping forest canopy height globally with spaceborne lidar

Journal of Geophysical Research, 2011-12, Vol.116 (G4), p.n/a, Article G04021 [Peer Reviewed Journal]

Copyright 2011 by the American Geophysical Union. ;ISSN: 0148-0227 ;ISSN: 2169-8953 ;EISSN: 2156-2202 ;EISSN: 2169-8961 ;DOI: 10.1029/2011JG001708

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15
Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models
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Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models

Remote sensing (Basel, Switzerland), 2020-02, Vol.12 (3), p.502 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12030502

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16
Vision Transformers for Remote Sensing Image Classification
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Vision Transformers for Remote Sensing Image Classification

Remote sensing (Basel, Switzerland), 2021-02, Vol.13 (3), p.516 [Peer Reviewed Journal]

2021. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13030516

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17
A Fast Dense Spectral–Spatial Convolution Network Framework for Hyperspectral Images Classification
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A Fast Dense Spectral–Spatial Convolution Network Framework for Hyperspectral Images Classification

Remote sensing (Basel, Switzerland), 2018-07, Vol.10 (7), p.1068 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs10071068

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18
The Current Configuration of the OSTIA System for Operational Production of Foundation Sea Surface Temperature and Ice Concentration Analyses
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The Current Configuration of the OSTIA System for Operational Production of Foundation Sea Surface Temperature and Ice Concentration Analyses

Remote sensing (Basel, Switzerland), 2020-02, Vol.12 (4), p.720 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12040720

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19
Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review
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Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review

Remote sensing (Basel, Switzerland), 2020-09, Vol.12 (18), p.3062 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12183062

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20
LiCSBAS: An Open-Source InSAR Time Series Analysis Package Integrated with the LiCSAR Automated Sentinel-1 InSAR Processor
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Article
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LiCSBAS: An Open-Source InSAR Time Series Analysis Package Integrated with the LiCSAR Automated Sentinel-1 InSAR Processor

Remote sensing (Basel, Switzerland), 2020-02, Vol.12 (3), p.424 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12030424

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