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Refined by: Journal Title: Remote Sensing remove subject: Vegetation remove
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1
Google Earth Engine Open-Source Code for Land Surface Temperature Estimation from the Landsat Series
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Google Earth Engine Open-Source Code for Land Surface Temperature Estimation from the Landsat Series

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (9), p.1471 [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/rs12091471

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2
Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes with Landsat Archive and Earth Engine
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Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes with Landsat Archive and Earth Engine

Remote sensing (Basel, Switzerland), 2020-09, Vol.12 (17), p.2735 [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/rs12172735

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3
Copernicus Global Land Cover Layers—Collection 2
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Copernicus Global Land Cover Layers—Collection 2

Remote sensing (Basel, Switzerland), 2020-03, Vol.12 (6), p.1044 [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/rs12061044

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4
Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images
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Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images

Remote sensing (Basel, Switzerland), 2015-04, Vol.7 (4), p.4026-4047 [Peer Reviewed Journal]

Copyright MDPI AG 2015 ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs70404026

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5
Satellite Remote Sensing of Surface Urban Heat Islands: Progress, Challenges, and Perspectives
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Satellite Remote Sensing of Surface Urban Heat Islands: Progress, Challenges, and Perspectives

Remote sensing (Basel, Switzerland), 2019-01, Vol.11 (1), p.48 [Peer Reviewed Journal]

2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (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/rs11010048

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6
A Global, 0.05-Degree Product of Solar-Induced Chlorophyll Fluorescence Derived from OCO-2, MODIS, and Reanalysis Data
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A Global, 0.05-Degree Product of Solar-Induced Chlorophyll Fluorescence Derived from OCO-2, MODIS, and Reanalysis Data

Remote sensing (Basel, Switzerland), 2019-03, Vol.11 (5), p.517 [Peer Reviewed Journal]

2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (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/rs11050517

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7
Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series
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Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series

Remote sensing (Basel, Switzerland), 2019-03, Vol.11 (5), p.523 [Peer Reviewed Journal]

2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (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/rs11050523

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8
Individual Tree-Crown Detection in RGB Imagery Using Semi-Supervised Deep Learning Neural Networks
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Individual Tree-Crown Detection in RGB Imagery Using Semi-Supervised Deep Learning Neural Networks

Remote sensing (Basel, Switzerland), 2019-06, Vol.11 (11), p.1309 [Peer Reviewed Journal]

2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (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/rs11111309

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9
A Non-Stationary 1981–2012 AVHRR NDVI3g Time Series
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A Non-Stationary 1981–2012 AVHRR NDVI3g Time Series

Remote sensing (Basel, Switzerland), 2014, Vol.6 (8), p.6929-6960 [Peer Reviewed Journal]

Copyright MDPI AG 2014 ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs6086929

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10
Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning
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Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning

Remote sensing (Basel, Switzerland), 2020-06, Vol.12 (12), p.2028 [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/rs12122028

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11
UAV-Based High Throughput Phenotyping in Citrus Utilizing Multispectral Imaging and Artificial Intelligence
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UAV-Based High Throughput Phenotyping in Citrus Utilizing Multispectral Imaging and Artificial Intelligence

Remote sensing (Basel, Switzerland), 2019-02, Vol.11 (4), p.410 [Peer Reviewed Journal]

2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (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/rs11040410

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12
A Review of Remote Sensing for Environmental Monitoring in China
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Article
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A Review of Remote Sensing for Environmental Monitoring in China

Remote sensing (Basel, Switzerland), 2020-04, Vol.12 (7), p.1130 [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/rs12071130

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13
Canopy and Terrain Height Retrievals with ICESat-2: A First Look
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Article
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Canopy and Terrain Height Retrievals with ICESat-2: A First Look

Remote sensing (Basel, Switzerland), 2019-07, Vol.11 (14), p.1721 [Peer Reviewed Journal]

2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (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/rs11141721

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14
Spatio-temporal Patterns of Land Use/Land Cover Change in the Heterogeneous Coastal Region of Bangladesh between 1990 and 2017
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Spatio-temporal Patterns of Land Use/Land Cover Change in the Heterogeneous Coastal Region of Bangladesh between 1990 and 2017

Remote sensing (Basel, Switzerland), 2019-04, Vol.11 (7), p.790 [Peer Reviewed Journal]

2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (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/rs11070790

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15
Intercomparison of UAV, Aircraft and Satellite Remote Sensing Platforms for Precision Viticulture
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Intercomparison of UAV, Aircraft and Satellite Remote Sensing Platforms for Precision Viticulture

Remote sensing (Basel, Switzerland), 2015-03, Vol.7 (3), p.2971-2990 [Peer Reviewed Journal]

Copyright MDPI AG 2015 ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs70302971

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16
Remote Sensing of Grassland Production and Management—A Review
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Remote Sensing of Grassland Production and Management—A Review

Remote sensing (Basel, Switzerland), 2020-06, Vol.12 (12), p.1949 [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/rs12121949

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17
Synergistic Use of Radar Sentinel-1 and Optical Sentinel-2 Imagery for Crop Mapping: A Case Study for Belgium
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Synergistic Use of Radar Sentinel-1 and Optical Sentinel-2 Imagery for Crop Mapping: A Case Study for Belgium

Remote sensing (Basel, Switzerland), 2018-10, Vol.10 (10), p.1642 [Peer Reviewed Journal]

2018. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (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/rs10101642

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18
Garlic and Winter Wheat Identification Based on Active and Passive Satellite Imagery and the Google Earth Engine in Northern China
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Garlic and Winter Wheat Identification Based on Active and Passive Satellite Imagery and the Google Earth Engine in Northern China

Remote sensing (Basel, Switzerland), 2020-11, Vol.12 (21), p.3539 [Peer Reviewed Journal]

2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). 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/rs12213539

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19
Hyperspectral Classification of Plants: A Review of Waveband Selection Generalisability
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Article
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Hyperspectral Classification of Plants: A Review of Waveband Selection Generalisability

Remote sensing (Basel, Switzerland), 2020-01, Vol.12 (1), p.113 [Peer Reviewed Journal]

2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). 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/rs12010113

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20
Comparing Deep Learning and Shallow Learning for Large-Scale Wetland Classification in Alberta, Canada
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Comparing Deep Learning and Shallow Learning for Large-Scale Wetland Classification in Alberta, Canada

Remote sensing (Basel, Switzerland), 2020-01, Vol.12 (1), p.2 [Peer Reviewed Journal]

2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). 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/rs12010002

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