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Accelerated RAPID Model Using Heterogeneous Porous Objects

Remote sensing (Basel, Switzerland), 2018-08, Vol.10 (8), p.1264

Huang, Huaguo

2018

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A commentary of “Using satellites to map trees”: 10 remarkable discoveries from 2020 in Nature

Fundamental research (Beijing), 2022-03, Vol.2 (2), p.341-342

Huang, Huaguo

2022

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Detection of Pine Shoot Beetle (PSB) Stress on Pine Forests at Individual Tree Level using UAV-Based Hyperspectral Imagery and Lidar

Remote sensing (Basel, Switzerland), 2019-11, Vol.11 (21), p.2540

2019

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RAPID: A Radiosity Applicable to Porous IndiviDual Objects for directional reflectance over complex vegetated scenes

Remote sensing of environment, 2013-05, Vol.132, p.221-237

2013

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Study on the Relationship between Topological Characteristics of Vegetation Ecospatial Network and Carbon Sequestration Capacity in the Yellow River Basin, China

Remote sensing (Basel, Switzerland), 2021-12, Vol.13 (23), p.4926

2021

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Tree Species Classification of Backpack Laser Scanning Data Using the PointNet++ Point Cloud Deep Learning Method

Remote sensing (Basel, Switzerland), 2022-08, Vol.14 (15), p.3809

2022

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Three-Dimensional Convolutional Neural Network Model for Early Detection of Pine Wilt Disease Using UAV-Based Hyperspectral Images

Remote sensing (Basel, Switzerland), 2021-10, Vol.13 (20), p.4065

2021

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Evaluating the reliability of bi-temporal canopy height model generated from airborne laser scanning for monitoring forest growth in boreal forest region

International journal of digital earth, 2024-12, Vol.17 (1)

2024

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Estimating plant area density of individual trees from discrete airborne laser scanning data using intensity information and path length distribution

International journal of applied earth observation and geoinformation, 2023-04, Vol.118, p.103281, Article 103281

2023

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Tree Species Classification Using Ground-Based LiDAR Data by Various Point Cloud Deep Learning Methods

Remote sensing (Basel, Switzerland), 2022-11, Vol.14 (22), p.5733

2022

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Ultrahigh-resolution boreal forest canopy mapping: Combining UAV imagery and photogrammetric point clouds in a deep-learning-based approach

International journal of applied earth observation and geoinformation, 2022-03, Vol.107, p.102686, Article 102686

2022

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Early detection of pine shoot beetle attack using vertical profile of plant traits through UAV-based hyperspectral, thermal, and lidar data fusion

International journal of applied earth observation and geoinformation, 2023-12, Vol.125, p.103549, Article 103549

2023

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Combining 3D Radiative Transfer Model and Convolutional Neural Network to Accurately Estimate Forest Canopy Cover From Very High-Resolution Satellite Images

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.10953-10963

2021

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A Novel Forest EcoSpatial Network for Carbon Stocking Using Complex Network Theory in the Yellow River Basin

Remote sensing (Basel, Switzerland), 2023-05, Vol.15 (10), p.2612

2023

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Indirect Measurement of Forest Canopy Temperature by Handheld Thermal Infrared Imager through Upward Observation

Remote sensing (Basel, Switzerland), 2020-11, Vol.12 (21), p.3559

2020

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Retrieval of Live Fuel Moisture Content Based on Multi-Source Remote Sensing Data and Ensemble Deep Learning Model

Remote sensing (Basel, Switzerland), 2022-09, Vol.14 (17), p.4378

2022

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Characterizing Post-Fire Forest Structure Recovery in the Great Xing’an Mountain Using GEDI and Time Series Landsat Data

Remote sensing (Basel, Switzerland), 2023-06, Vol.15 (12), p.3107

2023

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Detection of Shoot Beetle Stress on Yunnan Pine Forest Using a Coupled LIBERTY2-INFORM Simulation

Remote sensing (Basel, Switzerland), 2018-07, Vol.10 (7), p.1133

2018

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Discovering forest height changes based on spaceborne lidar data of ICESat-1 in 2005 and ICESat-2 in 2019: a case study in the Beijing-Tianjin-Hebei region of China

Forest Ecosystems, 2020-09, Vol.7 (1), p.1-12, Article 53

2020

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Estimating 3D Green Volume and Aboveground Biomass of Urban Forest Trees by UAV-Lidar

Remote sensing (Basel, Switzerland), 2022-10, Vol.14 (20), p.5211

2022

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An Extended 3-D Radiosity-Graphics Combined Model for Studying Thermal-Emission Directionality of Crop Canopy

IEEE transactions on geoscience and remote sensing, 2007-09, Vol.45 (9), p.2900-2918

2007

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Modeling the Temporal Variability of Thermal Emissions From Row-Planted Scenes Using a Radiosity and Energy Budget Method

IEEE transactions on geoscience and remote sensing, 2017-10, Vol.55 (10), p.6010-6026

2017

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Climate Drivers of Pine Shoot Beetle Outbreak Dynamics in Southwest China

Remote sensing (Basel, Switzerland), 2022-06, Vol.14 (12), p.2728

2022

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Fine-Scale Quantification of Absorbed Photosynthetically Active Radiation (APAR) in Plantation Forests with 3D Radiative Transfer Modeling and LiDAR Data

Plant phenomics, 2024, Vol.6, p.0166-0166

2024

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Detecting Shoot Beetle Damage on Yunnan Pine Using Landsat Time-Series Data

Forests, 2018-01, Vol.9 (1), p.39

2018

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Accelerated RAPID Model Using Heterogeneous Porous Objects

A commentary of “Using satellites to map trees”: 10 remarkable discoveries from 2020 in Nature

Detection of Pine Shoot Beetle (PSB) Stress on Pine Forests at Individual Tree Level using UAV-Based Hyperspectral Imagery and Lidar

RAPID: A Radiosity Applicable to Porous IndiviDual Objects for directional reflectance over complex vegetated scenes

Study on the Relationship between Topological Characteristics of Vegetation Ecospatial Network and Carbon Sequestration Capacity in the Yellow River Basin, China

Tree Species Classification of Backpack Laser Scanning Data Using the PointNet++ Point Cloud Deep Learning Method

Three-Dimensional Convolutional Neural Network Model for Early Detection of Pine Wilt Disease Using UAV-Based Hyperspectral Images

Evaluating the reliability of bi-temporal canopy height model generated from airborne laser scanning for monitoring forest growth in boreal forest region

Estimating plant area density of individual trees from discrete airborne laser scanning data using intensity information and path length distribution

Tree Species Classification Using Ground-Based LiDAR Data by Various Point Cloud Deep Learning Methods

Ultrahigh-resolution boreal forest canopy mapping: Combining UAV imagery and photogrammetric point clouds in a deep-learning-based approach

Early detection of pine shoot beetle attack using vertical profile of plant traits through UAV-based hyperspectral, thermal, and lidar data fusion

Combining 3D Radiative Transfer Model and Convolutional Neural Network to Accurately Estimate Forest Canopy Cover From Very High-Resolution Satellite Images

A Novel Forest EcoSpatial Network for Carbon Stocking Using Complex Network Theory in the Yellow River Basin

Indirect Measurement of Forest Canopy Temperature by Handheld Thermal Infrared Imager through Upward Observation

Retrieval of Live Fuel Moisture Content Based on Multi-Source Remote Sensing Data and Ensemble Deep Learning Model

Characterizing Post-Fire Forest Structure Recovery in the Great Xing’an Mountain Using GEDI and Time Series Landsat Data

Detection of Shoot Beetle Stress on Yunnan Pine Forest Using a Coupled LIBERTY2-INFORM Simulation

Discovering forest height changes based on spaceborne lidar data of ICESat-1 in 2005 and ICESat-2 in 2019: a case study in the Beijing-Tianjin-Hebei region of China

Estimating 3D Green Volume and Aboveground Biomass of Urban Forest Trees by UAV-Lidar

An Extended 3-D Radiosity-Graphics Combined Model for Studying Thermal-Emission Directionality of Crop Canopy

Modeling the Temporal Variability of Thermal Emissions From Row-Planted Scenes Using a Radiosity and Energy Budget Method

Climate Drivers of Pine Shoot Beetle Outbreak Dynamics in Southwest China

Fine-Scale Quantification of Absorbed Photosynthetically Active Radiation (APAR) in Plantation Forests with 3D Radiative Transfer Modeling and LiDAR Data

Detecting Shoot Beetle Damage on Yunnan Pine Using Landsat Time-Series Data

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