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Refinado por: assunto: Remote Sensing remover assunto: Vegetation remover
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Assessing spring phenology of a temperate woodland: A multiscale comparison of ground, unmanned aerial vehicle and Landsat satellite observations
Assessing spring phenology of a temperate woodland: A multiscale comparison of ground, unmanned aerial vehicle and Landsat satellite observations
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Assessing spring phenology of a temperate woodland: A multiscale comparison of ground, unmanned aerial vehicle and Landsat satellite observations

Berra, Elias Fernando ; Gaulton, Rachel ; Barr, Stuart

Remote sensing of environment, 2019-03, Vol.223, p.229-242 [Periódico revisado por pares]

New York: Elsevier Inc

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2
In-Season Monitoring of Maize Leaf Water Content Using Ground-Based and UAV-Based Hyperspectral Data
In-Season Monitoring of Maize Leaf Water Content Using Ground-Based and UAV-Based Hyperspectral Data
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In-Season Monitoring of Maize Leaf Water Content Using Ground-Based and UAV-Based Hyperspectral Data

Crusiol, Luís Guilherme Teixeira ; Sun, Liang ; Sun, Zheng ; Chen, Ruiqing ; Wu, Yongfeng ; Ma, Juncheng ; Song, Chenxi

Sustainability, 2022-08, Vol.14 (15), p.9039 [Periódico revisado por pares]

Basel: MDPI AG

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3
UAV-based chlorophyll content estimation by evaluating vegetation index responses under different crop coverages
UAV-based chlorophyll content estimation by evaluating vegetation index responses under different crop coverages
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UAV-based chlorophyll content estimation by evaluating vegetation index responses under different crop coverages

Qiao, Lang ; Tang, Weijie ; Gao, Dehua ; Zhao, Ruomei ; An, Lulu ; Li, Minzan ; Sun, Hong ; Song, Di

Computers and electronics in agriculture, 2022-05, Vol.196, p.106775, Article 106775 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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4
Linking High-Resolution UAV-Based Remote Sensing Data to Long-Term Vegetation Sampling—A Novel Workflow to Study Slow Ecotone Dynamics
Linking High-Resolution UAV-Based Remote Sensing Data to Long-Term Vegetation Sampling—A Novel Workflow to Study Slow Ecotone Dynamics
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Linking High-Resolution UAV-Based Remote Sensing Data to Long-Term Vegetation Sampling—A Novel Workflow to Study Slow Ecotone Dynamics

Döweler, Fabian ; Fransson, Johan E. S ; Bader, Ma

Remote sensing (Basel, Switzerland), 2024-03, Vol.16 (5), p.840 [Periódico revisado por pares]

Basel: MDPI AG

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5
Permafrost Dynamics Observatory (PDO): 2. Joint Retrieval of Permafrost Active Layer Thickness and Soil Moisture From L‐Band InSAR and P‐Band PolSAR
Permafrost Dynamics Observatory (PDO): 2. Joint Retrieval of Permafrost Active Layer Thickness and Soil Moisture From L‐Band InSAR and P‐Band PolSAR
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Permafrost Dynamics Observatory (PDO): 2. Joint Retrieval of Permafrost Active Layer Thickness and Soil Moisture From L‐Band InSAR and P‐Band PolSAR

Chen, Richard H. ; Michaelides, Roger J. ; Zhao, Yuhuan ; Huang, Lingcao ; Wig, Elizabeth ; Sullivan, Taylor D. ; Parsekian, Andrew D. ; Zebker, Howard A. ; Moghaddam, Mahta ; Schaefer, Kevin M.

Earth and space science (Hoboken, N.J.), 2023-01, Vol.10 (1), p.n/a [Periódico revisado por pares]

Hoboken: John Wiley & Sons, Inc

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6
A UGV-Based Forest Vegetation Optical Depth Mapping Using GNSS Signals
A UGV-Based Forest Vegetation Optical Depth Mapping Using GNSS Signals
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A UGV-Based Forest Vegetation Optical Depth Mapping Using GNSS Signals

Ghosh, Abesh ; Farhad, Md Mehedi ; Boyd, Dylan ; Kurum, Mehmet

IEEE journal of selected topics in applied earth observations and remote sensing, 2024-01, Vol.17, p.1-14 [Periódico revisado por pares]

Piscataway: IEEE

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7
Genetic dissection of seasonal vegetation index dynamics in maize through aerial based high‐throughput phenotyping
Genetic dissection of seasonal vegetation index dynamics in maize through aerial based high‐throughput phenotyping
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Genetic dissection of seasonal vegetation index dynamics in maize through aerial based high‐throughput phenotyping

Wang, Jinyu ; Li, Xianran ; Guo, Tingting ; Dzievit, Matthew J. ; Yu, Xiaoqing ; Liu, Peng ; Price, Kevin P. ; Yu, Jianming

The plant genome, 2021-11, Vol.14 (3), p.e20155-n/a [Periódico revisado por pares]

United States: John Wiley & Sons, Inc

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8
Quantification and analysis of geomorphic processes on a recultivated iron ore mine on the Italian island of Elba using long-term ground-based lidar and photogrammetric SfM data by a UAV
Quantification and analysis of geomorphic processes on a recultivated iron ore mine on the Italian island of Elba using long-term ground-based lidar and photogrammetric SfM data by a UAV
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Quantification and analysis of geomorphic processes on a recultivated iron ore mine on the Italian island of Elba using long-term ground-based lidar and photogrammetric SfM data by a UAV

Haas, Florian ; Hilger, Ludwig ; Neugirg, Fabian ; Umstädter, Kathrin ; Breitung, Christian ; Fischer, Peter ; Hilger, Paula ; Heckmann, Tobias ; Dusik, Jana ; Kaiser, Andreas ; Schmidt, Jürgen ; Della Seta, Marta ; Rosenkranz, Ruben ; Becht, Michael

Natural hazards and earth system sciences, 2016-05, Vol.16 (5), p.1269-1288 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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9
Convolutional transformer attention network with few-shot learning for grassland degradation monitoring using UAV hyperspectral imagery
Convolutional transformer attention network with few-shot learning for grassland degradation monitoring using UAV hyperspectral imagery
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Convolutional transformer attention network with few-shot learning for grassland degradation monitoring using UAV hyperspectral imagery

Zhang, Tao ; Bi, Yuge ; Xuan, Chuanzhong

International journal of remote sensing, 2024-03, Vol.45 (6), p.2109-2135 [Periódico revisado por pares]

London: Taylor & Francis

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10
UAV Patrolling for Wildfire Monitoring by a Dynamic Voronoi Tessellation on Satellite Data
UAV Patrolling for Wildfire Monitoring by a Dynamic Voronoi Tessellation on Satellite Data
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UAV Patrolling for Wildfire Monitoring by a Dynamic Voronoi Tessellation on Satellite Data

Giuseppi, Alessandro ; Germanà, Roberto ; Fiorini, Federico ; Delli Priscoli, Francesco ; Pietrabissa, Antonio

Drones (Basel), 2021-12, Vol.5 (4), p.130 [Periódico revisado por pares]

Basel: MDPI AG

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