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Lindi J. Quackenbush
Lindi J. Quackenbush
Verified email at esf.edu - Homepage
Title
Cited by
Cited by
Year
Google Earth Engine for geo-big data applications: A meta-analysis and systematic review
H Tamiminia, B Salehi, M Mahdianpari, L Quackenbush, S Adeli, B Brisco
ISPRS Journal of Photogrammetry and Remote Sensing 164, 152-170, 2020
4442020
Synergistic use of QuickBird multispectral imagery and LIDAR data for object-based forest species classification
Y Ke, LJ Quackenbush, J Im
Remote Sensing of Environment 114 (6), 1141-1154, 2010
3582010
A review of methods for automatic individual tree-crown detection and delineation from passive remote sensing
Y Ke, LJ Quackenbush
International Journal of Remote Sensing 32 (17), 4725-4747, 2011
3482011
Spatial wildlife-vehicle collision models: A review of current work and its application to transportation mitigation projects
KE Gunson, G Mountrakis, LJ Quackenbush
Journal of environmental management 92 (4), 1074-1082, 2011
3342011
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
2782016
A review of techniques for extracting linear features from imagery
LJ Quackenbush
Photogrammetric Engineering & Remote Sensing 70 (12), 1383-1392, 2004
2242004
Evaluating five remote sensing based single-source surface energy balance models for estimating daily evapotranspiration in a humid subtropical climate
N Bhattarai, SB Shaw, LJ Quackenbush, J Im, R Niraula
International Journal of Applied Earth Observation and Geoinformation 49, 75-86, 2016
1212016
Estimation of daily maximum and minimum air temperatures in urban landscapes using MODIS time series satellite data
C Yoo, J Im, S Park, LJ Quackenbush
ISPRS journal of photogrammetry and remote sensing 137, 149-162, 2018
1142018
Impervious surface quantification using a synthesis of artificial immune networks and decision/regression trees from multi-sensor data
J Im, Z Lu, J Rhee, LJ Quackenbush
Remote Sensing of Environment 117, 102-113, 2012
1072012
Developing forestry products from high resolution digital aerial imagery
LJ Quackenbush, PF Hopkins, GJ Kinn
Photogrammetric engineering and remote sensing 66 (11), 1337-1348, 2000
892000
A comparison of three methods for automatic tree crown detection and delineation from high spatial resolution imagery
Y Ke, LJ Quackenbush
International Journal of Remote Sensing 32 (13), 3625-3647, 2011
862011
Impact of training and validation sample selection on classification accuracy and accuracy assessment when using reference polygons in object-based classification
Z Zhen, LJ Quackenbush, SV Stehman, L Zhang
International Journal of Remote Sensing 34 (19), 6914-6930, 2013
812013
A new optimized algorithm for automating endmember pixel selection in the SEBAL and METRIC models
N Bhattarai, LJ Quackenbush, J Im, SB Shaw
Remote Sensing of Environment 196, 178-192, 2017
792017
Population estimation based on multi-sensor data fusion
Z Lu, J Im, L Quackenbush, K Halligan
International Journal of Remote Sensing 31 (21), 5587-5604, 2010
772010
Forest biomass and carbon stock quantification using airborne LiDAR data: A case study over Huntington Wildlife Forest in the Adirondack Park
M Li, J Im, LJ Quackenbush, T Liu
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014
752014
A novel transferable individual tree crown delineation model based on Fishing Net Dragging and boundary classification
T Liu, J Im, LJ Quackenbush
ISPRS journal of photogrammetry and remote sensing 110, 34-47, 2015
662015
Arctic sea ice thickness estimation from CryoSat-2 satellite data using machine learning-based lead detection
S Lee, J Im, J Kim, M Kim, M Shin, H Kim, LJ Quackenbush
Remote Sensing 8 (9), 698, 2016
632016
A simple Landsat–MODIS fusion approach for monitoring seasonal evapotranspiration at 30 m spatial resolution
N Bhattarai, LJ Quackenbush, M Dougherty, LJ Marzen
International Journal of Remote Sensing 36 (1), 115-143, 2015
622015
Spatial modelling of evapotranspiration in the Luquillo experimental forest of Puerto Rico using remotely-sensed data
W Wu, CAS Hall, FN Scatena, LJ Quackenbush
Journal of Hydrology 328 (3-4), 733-752, 2006
602006
Estimating ground-level particulate matter concentrations using satellite-based data: A review
M Shin, Y Kang, S Park, J Im, C Yoo, LJ Quackenbush
GIScience & Remote Sensing 57 (2), 174-189, 2020
592020
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