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Monitoring plant moisture content and optimizing irrigation prescriptions based on UAV multimodal data. [PDF]
Front Plant SciFu W +6 more
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Natives Against Invaders: Shared Use of Space and Temporal Segregation of Clouded Tiger-Cats (<i>Leopardus pardinoides</i>) and Domestic Dogs (<i>Canis familiaris</i>) in an Isolated Protected Area. [PDF]
Ecol EvolCepeda-Duque JC +6 more
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Evaluating Environmental and Crop Factors Affecting Drone-Mounted GPR Performance in Agricultural Fields. [PDF]
Sensors (Basel)Vahidi M, Shafian S.
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Global patterns and determinants of forest canopy height
Ecology, 2016 AbstractForest canopy height is an important indicator of forest biomass, species diversity, and other ecosystem functions; however, the climatic determinants that underlie its global patterns have not been fully explored. Using satellite LiDAR‐derived forest canopy heights and field measurements of the world's giant trees, combined with climate ...
Shengli, Tao +4 more
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Canopy height estimation from PlanetScope time series with spatio-temporal deep ...
Dixon, Dan, Yufang Jin, Yunzhe Zhu
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A comparison between various definitions of forest stand height and aerodynamic canopy height
Agricultural and Forest Meteorology, 2010A consistent measure of forest canopy height is required for among-site comparisons of meteorological properties and for comparison of model results such as distributions of wind and other scalars calculated by large eddy simulations with observations.
Taro Nakai +2 more
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Height and Biomass Inversion of Winter Wheat Based on Canopy Height Model
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018The aboveground biomass of crops is an important index reflecting the growth status of crops. It is an important reference for achieving precise water and fertilizer management, yield monitoring and prediction. In this paper, the true height of the vegetation relative to the ground is obtained from the data preprocessing, the point cloud filtering and ...
Haikuan Feng +7 more
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Using LiDAR to Measure Alfalfa Canopy Height
Transactions of the ASABE, 2021HighlightsModels using LiDAR measurements and field observations as predictors can accurately predict alfalfa canopy height.The most efficient model used only the 95th percentile of LiDAR-measured height to estimate canopy height.Adding field observations of weed, insect, and disease pressure only marginally improved the predictive models.Abstract ...
S. Tucker Sheffield +4 more
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