Lindi J. Quackenbush

According to our database1, Lindi J. Quackenbush authored at least 15 papers between 2014 and 2022.

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



In proceedings 
PhD thesis 




Estimation of Individual Tree Biomass in Natural Secondary Forests Based on ALS Data and WorldView-3 Imagery.
Remote. Sens., 2022

Shrub willow canopy chlorophyll content estimation from unmanned aerial systems (UAS) data: Estimation and uncertainty analysis across time, space, and scales.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Identifying Factors That Influence Accuracy of Riparian Vegetation Classification and River Channel Delineation Mapped Using 1 m Data.
Remote. Sens., 2021

A Meta-Analysis on Harmful Algal Bloom (HAB) Detection and Monitoring: A Remote Sensing Perspective.
Remote. Sens., 2021

Wetland Classification Using Simulated NISAR Data: a case study in Louisiana.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Forest and Crop Leaf Area Index Estimation Using Remote Sensing: Research Trends and Future Directions.
Remote. Sens., 2020

Different Spectral Domain Transformation for Land Cover Classification Using Convolutional Neural Networks with Multi-Temporal Satellite Imagery.
Remote. Sens., 2020

Wetland Monitoring Using SAR Data: A Meta-Analysis and Comprehensive Review.
Remote. Sens., 2020

Airborne Lidar Sampling Strategies to Enhance Forest Aboveground Biomass Estimation from Landsat Imagery.
Remote. Sens., 2019

Convolutional Neural Network-Based Land Cover Classification Using 2-D Spectral Reflectance Curve Graphs With Multitemporal Satellite Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Trends in Automatic Individual Tree Crown Detection and Delineation - Evolution of LiDAR Data.
Remote. Sens., 2016

Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead Detection.
Remote. Sens., 2016

Evaluating five remote sensing based single-source surface energy balance models for estimating daily evapotranspiration in a humid subtropical climate.
Int. J. Appl. Earth Obs. Geoinformation, 2016

Forest Biomass and Carbon Stock Quantification Using Airborne LiDAR Data: A Case Study Over Huntington Wildlife Forest in the Adirondack Park.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Impact of Tree-Oriented Growth Order in Marker-Controlled Region Growing for Individual Tree Crown Delineation Using Airborne Laser Scanner (ALS) Data.
Remote. Sens., 2014