Jan U. H. Eitel

According to our database1, Jan U. H. Eitel authored at least 13 papers between 2010 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2021
A Lidar-Based 3-D Photosynthetically Active Radiation Model Reveals the Spatiotemporal Variations of Forest Sunlit and Shaded Leaves.
Remote. Sens., 2021

Important Airborne Lidar Metrics of Canopy Structure for Estimating Snow Interception.
Remote. Sens., 2021

Combining Remote Sensing and Meteorological Data for Improved Rice Plant Potassium Content Estimation.
Remote. Sens., 2021

Improving Unmanned Aerial Vehicle (UAV) remote sensing of rice plant potassium accumulation by fusing spectral and textural information.
Int. J. Appl. Earth Obs. Geoinformation, 2021

2020
Toward a Novel Laser-Based Approach for Estimating Snow Interception.
Remote. Sens., 2020

Toward Mapping Dietary Fibers in Northern Ecosystems Using Hyperspectral and Multispectral Data.
Remote. Sens., 2020

2017
Retrieving Directional Gap Fraction, Extinction Coefficient, and Effective Leaf Area Index by Incorporating Scan Angle Information From Discrete Aerial Lidar Data.
IEEE Trans. Geosci. Remote. Sens., 2017

Impacts of Airborne Lidar Pulse Density on Estimating Biomass Stocks and Changes in a Selectively Logged Tropical Forest.
Remote. Sens., 2017

2016
Assessing the Contribution of Woody Materials to Forest Angular Gap Fraction and Effective Leaf Area Index Using Terrestrial Laser Scanning Data.
IEEE Trans. Geosci. Remote. Sens., 2016

Improved Salient Feature-Based Approach for Automatically Separating Photosynthetic and Nonphotosynthetic Components Within Terrestrial Lidar Point Cloud Data of Forest Canopies.
IEEE Trans. Geosci. Remote. Sens., 2016

Accuracy of WAAS-Enabled GPS-RF Warning Signals When Crossing a Terrestrial Geofence.
Sensors, 2016

Remote Sensing Based Simple Models of GPP in Both Disturbed and Undisturbed Piñon-Juniper Woodlands in the Southwestern U.S.
Remote. Sens., 2016

2010
Active Ground Optical Remote Sensing for Improved Monitoring of Seedling Stress in Nurseries.
Sensors, 2010


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