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review of methods for automatic individual tree-crown detection and delineation from passive remote sensing

International journal of remote sensing, 2011-01, Vol.32 (17), p.4725-4747

2011

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Trends in Automatic Individual Tree Crown Detection and Delineation—Evolution of LiDAR Data

Remote sensing (Basel, Switzerland), 2016-04, Vol.8 (4), p.333

2016

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Synergistic use of QuickBird multispectral imagery and LIDAR data for object-based forest species classification

Remote sensing of environment, 2010-06, Vol.114 (6), p.1141-1154

2010

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A new drought monitoring approach: Vector Projection Analysis (VPA)

Remote sensing of environment, 2021-01, Vol.252, p.112145, Article 112145

2021

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Wetland Monitoring Using SAR Data: A Meta-Analysis and Comprehensive Review

Remote sensing (Basel, Switzerland), 2020-07, Vol.12 (14), p.2190

2020

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Spatial wildlife-vehicle collision models: A review of current work and its application to transportation mitigation projects

Journal of environmental management, 2011-04, Vol.92 (4), p.1074-1082

2011

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A new optimized algorithm for automating endmember pixel selection in the SEBAL and METRIC models

Remote sensing of environment, 2017-07, Vol.196, p.178-192

2017

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Estimation of Individual Tree Biomass in Natural Secondary Forests Based on ALS Data and WorldView-3 Imagery

Remote sensing (Basel, Switzerland), 2022-01, Vol.14 (2), p.271

2022

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

Remote sensing (Basel, Switzerland), 2021-11, Vol.13 (21), p.4347

2021

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Forest and Crop Leaf Area Index Estimation Using Remote Sensing: Research Trends and Future Directions

Remote sensing (Basel, Switzerland), 2020-09, Vol.12 (18), p.2934

2020

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comparison of three methods for automatic tree crown detection and delineation from high spatial resolution imagery

International journal of remote sensing, 2011-01, Vol.32 (13), p.3625-3647

2011

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

Remote sensing (Basel, Switzerland), 2014-01, Vol.6 (1), p.555-579

2014

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Using Google Earth Engine to Assess Temporal and Spatial Changes in River Geomorphology and Riparian Vegetation

Journal of the American Water Resources Association, 2021-10, Vol.57 (5), p.789-806

2021

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Impervious surface quantification using a synthesis of artificial immune networks and decision/regression trees from multi-sensor data

Remote sensing of environment, 2012-02, Vol.117, p.102-113

2012

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Estimation of spatially continuous daytime particulate matter concentrations under all sky conditions through the synergistic use of satellite-based AOD and numerical models

The Science of the total environment, 2020-04, Vol.713, p.136516-136516, Article 136516

2020

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Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead Detection

Remote sensing (Basel, Switzerland), 2016, Vol.8 (9), p.698-698

2016

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Airborne Lidar Sampling Strategies to Enhance Forest Aboveground Biomass Estimation from Landsat Imagery

Remote sensing (Basel, Switzerland), 2019-08, Vol.11 (16), p.1906

2019

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Evaluating five remote sensing based single-source surface energy balance models for estimating daily evapotranspiration in a humid subtropical climate

ITC journal, 2016-07, Vol.49, p.75-86

2016

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Estimating ground-level particulate matter concentrations using satellite-based data: a review

GIScience and remote sensing, 2020-02, Vol.57 (2), p.174-189

2020

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Machine Learning Approaches for Estimating Forest Stand Height Using Plot-Based Observations and Airborne LiDAR Data

Forests, 2018-05, Vol.9 (5), p.268

2018

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Impervious surface extraction in imbalanced datasets: integrating partial results and multi-temporal information in an iterative one-class classifier

International journal of remote sensing, 2017-01, Vol.38 (1), p.43-63

2017

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Identifying Factors That Influence Accuracy of Riparian Vegetation Classification and River Channel Delineation Mapped Using 1 m Data

Remote sensing (Basel, Switzerland), 2021-11, Vol.13 (22), p.4645

2021

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Agent-based region growing for individual tree crown delineation from airborne laser scanning (ALS) data

International journal of remote sensing, 2015-04, Vol.36 (7), p.1965-1993

2015

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Impact of training and validation sample selection on classification accuracy and accuracy assessment when using reference polygons in object-based classification

International journal of remote sensing, 2013, Vol.34 (19), p.6914-6930

2013

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Forest Biomass and Carbon Stock Quantification Using Airborne LiDAR Data: A Case Study Over Huntington Wildlife Forest in the Adirondack Park

IEEE journal of selected topics in applied earth observations and remote sensing, 2014-07, Vol.7 (7), p.3143-3156

2014

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review of methods for automatic individual tree-crown detection and delineation from passive remote sensing

Trends in Automatic Individual Tree Crown Detection and Delineation—Evolution of LiDAR Data

Synergistic use of QuickBird multispectral imagery and LIDAR data for object-based forest species classification

A new drought monitoring approach: Vector Projection Analysis (VPA)

Wetland Monitoring Using SAR Data: A Meta-Analysis and Comprehensive Review

Spatial wildlife-vehicle collision models: A review of current work and its application to transportation mitigation projects

A new optimized algorithm for automating endmember pixel selection in the SEBAL and METRIC models

Estimation of Individual Tree Biomass in Natural Secondary Forests Based on ALS Data and WorldView-3 Imagery

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

Forest and Crop Leaf Area Index Estimation Using Remote Sensing: Research Trends and Future Directions

comparison of three methods for automatic tree crown detection and delineation from high spatial resolution imagery

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

Using Google Earth Engine to Assess Temporal and Spatial Changes in River Geomorphology and Riparian Vegetation

Impervious surface quantification using a synthesis of artificial immune networks and decision/regression trees from multi-sensor data

Estimation of spatially continuous daytime particulate matter concentrations under all sky conditions through the synergistic use of satellite-based AOD and numerical models

Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead Detection

Airborne Lidar Sampling Strategies to Enhance Forest Aboveground Biomass Estimation from Landsat Imagery

Evaluating five remote sensing based single-source surface energy balance models for estimating daily evapotranspiration in a humid subtropical climate

Estimating ground-level particulate matter concentrations using satellite-based data: a review

Machine Learning Approaches for Estimating Forest Stand Height Using Plot-Based Observations and Airborne LiDAR Data

Impervious surface extraction in imbalanced datasets: integrating partial results and multi-temporal information in an iterative one-class classifier

Identifying Factors That Influence Accuracy of Riparian Vegetation Classification and River Channel Delineation Mapped Using 1 m Data

Agent-based region growing for individual tree crown delineation from airborne laser scanning (ALS) data

Impact of training and validation sample selection on classification accuracy and accuracy assessment when using reference polygons in object-based classification

Forest Biomass and Carbon Stock Quantification Using Airborne LiDAR Data: A Case Study Over Huntington Wildlife Forest in the Adirondack Park

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