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Lindi J. Quackenbush
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2020 – today
- 2024
- [j15]Sara Akbarnejad Nesheli
, Lindi J. Quackenbush
, Lewis McCaffrey
:
Estimating Chlorophyll-a and Phycocyanin Concentrations in Inland Temperate Lakes across New York State Using Sentinel-2 Images: Application of Google Earth Engine for Efficient Satellite Image Processing. Remote. Sens. 16(18): 3504 (2024) - 2023
- [c2]Sarina Adeli, Lindi J. Quackenbush, Bahram Salehi, Masoud MahdianPari:
Gedi and Sentinel-2 Integration for Mapping Complex Wetlands. IGARSS 2023: 5635-5637 - 2022
- [j14]Jin Xu, Lindi J. Quackenbush, Timothy A. Volk
, Stephen V. Stehman:
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 108: 102737 (2022) - [j13]Yinghui Zhao
, Ye Ma
, Lindi J. Quackenbush
, Zhen Zhen
:
Estimation of Individual Tree Biomass in Natural Secondary Forests Based on ALS Data and WorldView-3 Imagery. Remote. Sens. 14(2): 271 (2022) - 2021
- [j12]Rabia Munsaf Khan
, Bahram Salehi
, Masoud MahdianPari
, Fariba Mohammadimanesh, Giorgos Mountrakis, Lindi J. Quackenbush:
A Meta-Analysis on Harmful Algal Bloom (HAB) Detection and Monitoring: A Remote Sensing Perspective. Remote. Sens. 13(21): 4347 (2021) - [j11]Ge Pu
, Lindi J. Quackenbush
, Stephen V. Stehman:
Identifying Factors That Influence Accuracy of Riparian Vegetation Classification and River Channel Delineation Mapped Using 1 m Data. Remote. Sens. 13(22): 4645 (2021) - [c1]Sarina Adeli, Bahram Salehi, Masoud MahidanPari, Lindi J. Quackenbush, Bruce Chapman:
Wetland Classification Using Simulated NISAR Data: a case study in Louisiana. IGARSS 2021: 100-103 - 2020
- [j10]Junghee Lee, Daehyeon Han
, Minso Shin, Jungho Im
, Junghye Lee, Lindi J. Quackenbush:
Different Spectral Domain Transformation for Land Cover Classification Using Convolutional Neural Networks with Multi-Temporal Satellite Imagery. Remote. Sens. 12(7): 1097 (2020) - [j9]Sarina Adeli, Bahram Salehi
, Masoud MahdianPari
, Lindi J. Quackenbush, Brian Brisco
, Haifa Tamiminia, Stephen Shaw
:
Wetland Monitoring Using SAR Data: A Meta-Analysis and Comprehensive Review. Remote. Sens. 12(14): 2190 (2020) - [j8]Jin Xu, Lindi J. Quackenbush, Timothy A. Volk
, Jungho Im
:
Forest and Crop Leaf Area Index Estimation Using Remote Sensing: Research Trends and Future Directions. Remote. Sens. 12(18): 2934 (2020)
2010 – 2019
- 2019
- [j7]Siqi Li, Lindi J. Quackenbush, Jungho Im
:
Airborne Lidar Sampling Strategies to Enhance Forest Aboveground Biomass Estimation from Landsat Imagery. Remote. Sens. 11(16): 1906 (2019) - 2018
- [j6]Miae Kim
, Junghee Lee, Daehyeon Han
, Minso Shin
, Jungho Im
, Junghye Lee, Lindi J. Quackenbush
, Zhu Gu:
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. 11(12): 4604-4617 (2018) - 2016
- [j5]Nishan Bhattarai
, Stephen B. Shaw
, Lindi J. Quackenbush, Jungho Im, Rewati Niraula:
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 49: 75-86 (2016) - [j4]Zhen Zhen, Lindi J. Quackenbush, Lianjun Zhang:
Trends in Automatic Individual Tree Crown Detection and Delineation - Evolution of LiDAR Data. Remote. Sens. 8(4): 333 (2016) - [j3]Sanggyun Lee, Jungho Im
, Jinwoo Kim, Miae Kim
, Minso Shin, Hyun-Cheol Kim
, Lindi J. Quackenbush:
Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead Detection. Remote. Sens. 8(9): 698 (2016) - 2014
- [j2]Zhen Zhen, Lindi J. Quackenbush, Lianjun Zhang:
Impact of Tree-Oriented Growth Order in Marker-Controlled Region Growing for Individual Tree Crown Delineation Using Airborne Laser Scanner (ALS) Data. Remote. Sens. 6(1): 555-579 (2014) - [j1]Manqi Li, Jungho Im
, Lindi J. Quackenbush, Tao Liu
:
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. 7(7): 3143-3156 (2014)
Coauthor Index
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