Integrating Sentinel-1 and 2 with LiDAR data to estimate aboveground biomass of subtropical forests in northeast Guangdong, China
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Title
Integrating Sentinel-1 and 2 with LiDAR data to estimate aboveground biomass of subtropical forests in northeast Guangdong, China
Authors
Keywords
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Journal
International Journal of Digital Earth
Volume 16, Issue 1, Pages 158-182
Publisher
Informa UK Limited
Online
2023-01-17
DOI
10.1080/17538947.2023.2165180
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Note: Only part of the references are listed.- Comparative Analysis of Multi-Platform, Multi-Resolution, Multi-Temporal LiDAR Data for Forest Inventory
- (2022) Yi-Chun Lin et al. Remote Sensing
- Forest emissions reduction assessment using airborne LiDAR for biomass estimation
- (2022) Shize Qin et al. RESOURCES CONSERVATION AND RECYCLING
- Estimating aboveground biomass of urban forest trees with dual-source UAV acquired point clouds
- (2022) Jiayuan Lin et al. URBAN FORESTRY & URBAN GREENING
- Forest Above-Ground Biomass Inversion Using Optical and SAR Images Based on a Multi-Step Feature Optimized Inversion Model
- (2022) Wangfei Zhang et al. Remote Sensing
- Estimating Fractional Vegetation Cover Changes in Desert Regions Using RGB Data
- (2022) Lu Xie et al. Remote Sensing
- Classification and Evolutionary Analysis of Yellow River Delta Wetlands Using Decision Tree Based on Time Series SAR Backscattering Coefficient and Coherence
- (2022) Zhenjin Li et al. Frontiers in Marine Science
- Multi-Sensor Aboveground Biomass Estimation in the Broadleaved Hyrcanian Forest of Iran
- (2021) Ghasem Ronoud et al. CANADIAN JOURNAL OF REMOTE SENSING
- A method to avoid spatial overfitting in estimation of grassland above-ground biomass on the Tibetan Plateau
- (2021) Hui Yu et al. ECOLOGICAL INDICATORS
- Aboveground Biomass Estimation in Short Rotation Forest Plantations in Northern Greece Using ESA’s Sentinel Medium-High Resolution Multispectral and Radar Imaging Missions
- (2021) Nikos Theofanous et al. Forests
- Reduced ecosystem resilience quantifies fine‐scale heterogeneity in tropical forest mortality responses to drought
- (2021) Donghai Wu et al. GLOBAL CHANGE BIOLOGY
- Estimation of biophysical parameters of rice using Sentinel-1A SAR data in Udham Singh Nagar (Uttarakhand)
- (2021) CHETAN KUMAR BHATT et al. Mausam
- Machine learning-based estimates of aboveground biomass of subalpine forests using Landsat 8 OLI and Sentinel-2B images in the Jiuzhaigou National Nature Reserve, Eastern Tibet Plateau
- (2021) Ke Luo et al. JOURNAL OF FORESTRY RESEARCH
- Focus on the role of forests and soils in meeting climate change mitigation goals: summary
- (2020) William Moomaw et al. Environmental Research Letters
- Estimating Urban Vegetation Biomass from Sentinel-2A Image Data
- (2020) Li et al. Forests
- Combined use of Sentinel-1 and Sentinel-2 data for improving above-ground biomass estimation
- (2020) Narissara Nuthammachot et al. Geocarto International
- Integrating airborne laser scanning data, space-borne radar data and digital aerial imagery to estimate aboveground carbon stock in Hyrcanian forests, Iran
- (2020) Maryam Poorazimy et al. REMOTE SENSING OF ENVIRONMENT
- Compatibility of Aerial and Terrestrial LiDAR for Quantifying Forest Structural Diversity
- (2020) Elizabeth A. LaRue et al. Remote Sensing
- Global Warming Impacts on Severe Drought Characteristics in Asia Monsoon Region
- (2020) Jeong-Bae Kim et al. Water
- Potential of texture from SAR tomographic images for forest aboveground biomass estimation
- (2020) Zhanmang Liao et al. International Journal of Applied Earth Observation and Geoinformation
- Quantifying the influence of plot-level uncertainty in above ground biomass up scaling using remote sensing data in central Indian dry deciduous forest
- (2020) Thangavelu Mayamanikandan et al. Geocarto International
- Combining TanDEM-X and Sentinel-2 for large-area species-wise prediction of forest biomass and volume
- (2020) Henrik J. Persson et al. International Journal of Applied Earth Observation and Geoinformation
- Integration of UAV, Sentinel-1, and Sentinel-2 Data for Mangrove Plantation Aboveground Biomass Monitoring in Senegal
- (2019) José Antonio Navarro et al. Remote Sensing
- Optimal Combination of Predictors and Algorithms for Forest Above-Ground Biomass Mapping from Sentinel and SRTM Data
- (2019) Lin Chen et al. Remote Sensing
- Machine learning and multi-sensor based modelling of woody vegetation in the Molopo Area, South Africa
- (2019) Marvin Ludwig et al. REMOTE SENSING OF ENVIRONMENT
- Estimation of the forest stand mean height and aboveground biomass in Northeast China using SAR Sentinel-1B, multispectral Sentinel-2A, and DEM imagery
- (2019) Yanan Liu et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations
- (2019) Aleksandra Wolanin et al. REMOTE SENSING OF ENVIRONMENT
- Combining LiDAR and hyperspectral data for aboveground biomass modeling in the Brazilian Amazon using different regression algorithms
- (2019) Catherine Torres de Almeida et al. REMOTE SENSING OF ENVIRONMENT
- Site-Specific Allometric Models for Prediction of Above-and Belowground Biomass of Subtropical Forests in Guangzhou, Southern China
- (2019) Zhao et al. Forests
- Estimating aboveground biomass of the mangrove forests on northeast Hainan Island in China using an upscaling method from field plots, UAV-LiDAR data and Sentinel-2 imagery
- (2019) Dezhi Wang et al. International Journal of Applied Earth Observation and Geoinformation
- Wall-to-wall spatial prediction of growing stock volume based on Italian National Forest Inventory plots and remotely sensed data
- (2019) Gherardo Chirici et al. International Journal of Applied Earth Observation and Geoinformation
- Above-ground biomass mapping in West African dryland forest using Sentinel-1 and 2 datasets - A case study
- (2019) Gerald Forkuor et al. REMOTE SENSING OF ENVIRONMENT
- Modelling above-ground biomass stock over Norway using national forest inventory data with ArcticDEM and Sentinel-2 data
- (2019) S. Puliti et al. REMOTE SENSING OF ENVIRONMENT
- Predicting Blast-Induced Ground Vibration in Open-Pit Mines Using Vibration Sensors and Support Vector Regression-Based Optimization Algorithms
- (2019) Hoang Nguyen et al. SENSORS
- An above-ground biomass map of African savannahs and woodlands at 25 m resolution derived from ALOS PALSAR
- (2018) Alexandre Bouvet et al. REMOTE SENSING OF ENVIRONMENT
- Improving Accuracy Estimation of Forest Aboveground Biomass Based on Incorporation of ALOS-2 PALSAR-2 and Sentinel-2A Imagery and Machine Learning: A Case Study of the Hyrcanian Forest Area (Iran)
- (2018) Sasan Vafaei et al. Remote Sensing
- Estimation of Forest Above-Ground Biomass by Geographically Weighted Regression and Machine Learning with Sentinel Imagery
- (2018) Lin Chen et al. Forests
- Forest biomass-carbon variation affected by the climatic and topographic factors in Pearl River Delta, South China
- (2018) Gang Wang et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- An alternative approach for estimating above ground biomass using Resourcesat-2 satellite data and artificial neural network in Bundelkhand region of India
- (2017) Dibyendu Deb et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Stacked Sparse Autoencoder Modeling Using the Synergy of Airborne LiDAR and Satellite Optical and SAR Data to Map Forest Above-Ground Biomass
- (2017) Zhenfeng Shao et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Estimation and mapping of above-ground biomass of mangrove forests and their replacement land uses in the Philippines using Sentinel imagery
- (2017) Jose Alan A. Castillo et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Examining the strength of the newly-launched Sentinel 2 MSI sensor in detecting and discriminating subtle differences between C3 and C4 grass species
- (2017) C. Shoko et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Optimizing nearest neighbour configurations for airborne laser scanning-assisted estimation of forest volume and biomass
- (2016) Ronald E. McRoberts et al. FORESTRY
- Integrating Landsat pixel composites and change metrics with lidar plots to predictively map forest structure and aboveground biomass in Saskatchewan, Canada
- (2016) Harold S.J. Zald et al. REMOTE SENSING OF ENVIRONMENT
- The potential of ALOS PALSAR backscatter and InSAR coherence for forest growing stock volume estimation in Central Siberia
- (2016) Christian Thiel et al. REMOTE SENSING OF ENVIRONMENT
- Effects of LiDAR point density and landscape context on estimates of urban forest biomass
- (2015) Kunwar K. Singh et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- The impact of urban residential development patterns on forest carbon density: An integration of LiDAR, aerial photography and field mensuration
- (2015) Christopher Godwin et al. LANDSCAPE AND URBAN PLANNING
- Potential of high-resolution ALOS–PALSAR mosaic texture for aboveground forest carbon tracking in tropical region
- (2015) Rajesh Bahadur Thapa et al. REMOTE SENSING OF ENVIRONMENT
- Characterizing residual structure and forest recovery following high-severity fire in the western boreal of Canada using Landsat time-series and airborne lidar data
- (2015) Douglas K. Bolton et al. REMOTE SENSING OF ENVIRONMENT
- A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems
- (2014) Dengsheng Lu et al. International Journal of Digital Earth
- Fusion of imaging spectroscopy and airborne laser scanning data for characterization of forest ecosystems – A review
- (2014) Hossein Torabzadeh et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass
- (2014) F.E. Fassnacht et al. REMOTE SENSING OF ENVIRONMENT
- Estimates of Aboveground Biomass from Texture Analysis of Landsat Imagery
- (2014) Katharine Kelsey et al. Remote Sensing
- Integrating airborne LiDAR and space-borne radar via multivariate kriging to estimate above-ground biomass
- (2013) Olivier W. Tsui et al. REMOTE SENSING OF ENVIRONMENT
- Optical and SAR sensor synergies for forest and land cover mapping in a tropical site in West Africa
- (2012) Gaia Vaglio Laurin et al. International Journal of Applied Earth Observation and Geoinformation
- Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services
- (2012) M. Drusch et al. REMOTE SENSING OF ENVIRONMENT
- Lidar sampling for large-area forest characterization: A review
- (2012) Michael A. Wulder et al. REMOTE SENSING OF ENVIRONMENT
- Advances in Forest Inventory Using Airborne Laser Scanning
- (2012) Juha Hyyppä et al. Remote Sensing
- Support Vector Regression for the Estimation of Forest Stand Parameters Using Airborne Laser Scanning
- (2011) Jean-Matthieu Monnet et al. IEEE Geoscience and Remote Sensing Letters
- Impact of spatial variability of tropical forest structure on radar estimation of aboveground biomass
- (2011) Sassan Saatchi et al. REMOTE SENSING OF ENVIRONMENT
- Evaluation of Sentinel-2 Red-Edge Bands for Empirical Estimation of Green LAI and Chlorophyll Content
- (2011) Jesús Delegido et al. SENSORS
- Comparisons between field- and LiDAR-based measures of stand structural complexity
- (2010) Van R. Kane et al. CANADIAN JOURNAL OF FOREST RESEARCH
- Estimating vegetation height and canopy cover from remotely sensed data with machine learning
- (2010) Daniela Stojanova et al. Ecological Informatics
- Improved estimates of forest vegetation structure and biomass with a LiDAR-optimized sampling design
- (2009) Todd J. Hawbaker et al. JOURNAL OF GEOPHYSICAL RESEARCH
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