Articles with public access mandates - Lindi J. QuackenbushLearn more
Not available anywhere: 1
Use of remote sensing to predict the optimal harvest date of corn
J Xu, J Meng, LJ Quackenbush
Field crops research 236, 1-13, 2019
Mandates: National Natural Science Foundation of China
Available somewhere: 6
Trends in automatic individual tree crown detection and delineation—Evolution of LiDAR data
Z Zhen, LJ Quackenbush, L Zhang
Remote Sensing 8 (4), 333, 2016
Mandates: National Natural Science Foundation of China
Estimation of individual tree biomass in natural secondary forests based on als data and worldview-3 imagery
Y Zhao, Y Ma, LJ Quackenbush, Z Zhen
Remote Sensing 14 (2), 271, 2022
Mandates: National Natural Science Foundation of China
Moving Toward L‐Band NASA‐ISRO SAR Mission (NISAR) Dense Time Series: Multipolarization Object‐Based Classification of Wetlands Using Two Machine Learning Algorithms
S Adeli, B Salehi, M Mahdianpari, LJ Quackenbush, B Chapman
Earth and Space Science 8 (11), e2021EA001742, 2021
Mandates: US National Aeronautics and Space Administration
Estimation of shrub willow biophysical parameters across time and space from Sentinel-2 and unmanned aerial system (UAS) data
J Xu, LJ Quackenbush, TA Volk, J Im
Field crops research 287, 108655, 2022
Mandates: US Department of Agriculture
Shrub willow canopy chlorophyll content estimation from unmanned aerial systems (UAS) data: Estimation and uncertainty analysis across time, space, and scales
J Xu, LJ Quackenbush, TA Volk, SV Stehman
International journal of applied earth observation and geoinformation 108 …, 2022
Mandates: US Department of Agriculture
Moving Towards L-Band NASA-ISRO SAR Mission (NISAR) Dense Time Series: Multi-Polarization Object-Based Wetland Classification in Yucatan Lake, Louisiana
S Adeli, B Salehi, M Mahidanpari, LJ Quackenbush, B Chapman
Authorea Preprints, 2022
Mandates: US National Aeronautics and Space Administration
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