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Refinado por: Base de dados/Biblioteca: Aluminium Industry Abstracts remover assunto: Unmanned Aerial Vehicles remover Machine Learning remover
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Quantifying plant-soil-nutrient dynamics in rangelands: Fusion of UAV hyperspectral-LiDAR, UAV multispectral-photogrammetry, and ground-based LiDAR-digital photography in a shrub-encroached desert grassland
Quantifying plant-soil-nutrient dynamics in rangelands: Fusion of UAV hyperspectral-LiDAR, UAV multispectral-photogrammetry, and ground-based LiDAR-digital photography in a shrub-encroached desert grassland
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Quantifying plant-soil-nutrient dynamics in rangelands: Fusion of UAV hyperspectral-LiDAR, UAV multispectral-photogrammetry, and ground-based LiDAR-digital photography in a shrub-encroached desert grassland

Sankey, Joel B. ; Sankey, Temuulen T. ; Li, Junran ; Ravi, Sujith ; Wang, Guan ; Caster, Joshua ; Kasprak, Alan

Remote sensing of environment, 2021-02, Vol.253, p.112223, Article 112223 [Periódico revisado por pares]

New York: Elsevier Inc

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2
Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning
Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning
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Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning

Babaeian, Ebrahim ; Paheding, Sidike ; Siddique, Nahian ; Devabhaktuni, Vijay K. ; Tuller, Markus

Remote sensing of environment, 2021-07, Vol.260, p.112434, Article 112434 [Periódico revisado por pares]

New York: Elsevier Inc

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3
Understanding Growth Dynamics and Yield Prediction of Sorghum Using High Temporal Resolution UAV Imagery Time Series and Machine Learning
Understanding Growth Dynamics and Yield Prediction of Sorghum Using High Temporal Resolution UAV Imagery Time Series and Machine Learning
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Understanding Growth Dynamics and Yield Prediction of Sorghum Using High Temporal Resolution UAV Imagery Time Series and Machine Learning

Varela, Sebastian ; Pederson, Taylor ; Bernacchi, Carl J. ; Leakey, Andrew D. B.

Remote sensing (Basel, Switzerland), 2021-05, Vol.13 (9), p.1763 [Periódico revisado por pares]

Basel: MDPI AG

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4
An Adaptive Framework for Multi-Vehicle Ground Speed Estimation in Airborne Videos
An Adaptive Framework for Multi-Vehicle Ground Speed Estimation in Airborne Videos
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An Adaptive Framework for Multi-Vehicle Ground Speed Estimation in Airborne Videos

Li, Jing ; Chen, Shuo ; Zhang, Fangbing ; Li, Erkang ; Yang, Tao ; Lu, Zhaoyang

Remote sensing (Basel, Switzerland), 2019-05, Vol.11 (10), p.1241 [Periódico revisado por pares]

Basel: MDPI AG

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5
Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods
Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods
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Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods

Revenga, Jaime C. ; Trepekli, Katerina ; Oehmcke, Stefan ; Jensen, Rasmus ; Li, Lei ; Igel, Christian ; Gieseke, Fabian Cristian ; Friborg, Thomas

Remote sensing (Basel, Switzerland), 2022-08, Vol.14 (16), p.3912 [Periódico revisado por pares]

Basel: MDPI AG

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6
Real-Time and Continuous Tracking of Total Phosphorus Using a Ground-Based Hyperspectral Proximal Sensing System
Real-Time and Continuous Tracking of Total Phosphorus Using a Ground-Based Hyperspectral Proximal Sensing System
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Real-Time and Continuous Tracking of Total Phosphorus Using a Ground-Based Hyperspectral Proximal Sensing System

Li, Na ; Zhang, Yunlin ; Shi, Kun ; Zhang, Yibo ; Sun, Xiao ; Wang, Weijia ; Qian, Haiming ; Yang, Huayin ; Niu, Yongkang

Remote sensing (Basel, Switzerland), 2023-01, Vol.15 (2), p.507 [Periódico revisado por pares]

Basel: MDPI AG

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7
Co-Kriging-Guided Interpolation for Mapping Forest Aboveground Biomass by Integrating Global Ecosystem Dynamics Investigation and Sentinel-2 Data
Co-Kriging-Guided Interpolation for Mapping Forest Aboveground Biomass by Integrating Global Ecosystem Dynamics Investigation and Sentinel-2 Data
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Co-Kriging-Guided Interpolation for Mapping Forest Aboveground Biomass by Integrating Global Ecosystem Dynamics Investigation and Sentinel-2 Data

Wang, Yingchen ; Wang, Hongtao ; Wang, Cheng ; Zhang, Shuting ; Wang, Rongxi ; Wang, Shaohui ; Duan, Jingjing

Remote sensing (Basel, Switzerland), 2024-08, Vol.16 (16), p.2913 [Periódico revisado por pares]

Basel: MDPI AG

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8
Spatial Analysis of Intra-Annual Reed Ecosystem Dynamics at Lake Neusiedl Using RGB Drone Imagery and Deep Learning
Spatial Analysis of Intra-Annual Reed Ecosystem Dynamics at Lake Neusiedl Using RGB Drone Imagery and Deep Learning
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Spatial Analysis of Intra-Annual Reed Ecosystem Dynamics at Lake Neusiedl Using RGB Drone Imagery and Deep Learning

Buchsteiner, Claudia ; Baur, Pamela Alessandra ; Glatzel, Stephan

Remote sensing (Basel, Switzerland), 2023-08, Vol.15 (16), p.3961 [Periódico revisado por pares]

Basel: MDPI AG

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9
Collision Avoidance on Unmanned Aerial Vehicles Using Neural Network Pipelines and Flow Clustering Techniques
Collision Avoidance on Unmanned Aerial Vehicles Using Neural Network Pipelines and Flow Clustering Techniques
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Collision Avoidance on Unmanned Aerial Vehicles Using Neural Network Pipelines and Flow Clustering Techniques

Pedro, Dário ; Matos-Carvalho, João P. ; Fonseca, José M. ; Mora, André

Remote sensing (Basel, Switzerland), 2021-07, Vol.13 (13), p.2643 [Periódico revisado por pares]

Basel: MDPI AG

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10
Dynamic Influence Elimination and Chlorophyll Content Diagnosis of Maize Using UAV Spectral Imagery
Dynamic Influence Elimination and Chlorophyll Content Diagnosis of Maize Using UAV Spectral Imagery
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Dynamic Influence Elimination and Chlorophyll Content Diagnosis of Maize Using UAV Spectral Imagery

Qiao, Lang ; Gao, Dehua ; Zhang, Junyi ; Li, Minzan ; Sun, Hong ; Ma, Junyong

Remote sensing (Basel, Switzerland), 2020-08, Vol.12 (16), p.2650 [Periódico revisado por pares]

Basel: MDPI AG

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