Mapping the Forest Canopy Height in Northern China by Synergizing ICESat-2 with Sentinel-2 Using a Stacking Algorithm
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Mapping the Forest Canopy Height in Northern China by Synergizing ICESat-2 with Sentinel-2 Using a Stacking Algorithm
Authors
Keywords
-
Journal
Remote Sensing
Volume 13, Issue 8, Pages 1535
Publisher
MDPI AG
Online
2021-04-16
DOI
10.3390/rs13081535
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Wildfire Damage Assessment over Australia Using Sentinel-2 Imagery and MODIS Land Cover Product within the Google Earth Engine Cloud Platform
- (2021) Seyd Teymoor Seydi et al. Remote Sensing
- Evolution of the representation of global vegetation by vegetation continuous fields
- (2021) Charlene DiMiceli et al. REMOTE SENSING OF ENVIRONMENT
- Monitoring Key Forest Structure Attributes across the Conterminous United States by Integrating GEDI LiDAR Measurements and VIIRS Data
- (2021) Khaldoun Rishmawi et al. Remote Sensing
- Signal Photon Extraction Method for Weak Beam Data of ICESat-2 Using Information Provided by Strong Beam Data in Mountainous Areas
- (2021) Zhiyu Zhang et al. Remote Sensing
- Estimating Forest Stock Volume in Hunan Province, China, by Integrating In Situ Plot Data, Sentinel-2 Images, and Linear and Machine Learning Regression Models
- (2020) Yang Hu et al. Remote Sensing
- Evaluation of Different Algorithms for Estimating the Growing Stock Volume of Pinus massoniana Plantations Using Spectral and Spatial Information from a SPOT6 Image
- (2020) Jingjing Zhou et al. Forests
- Estimating the Growing Stem Volume of Chinese Pine and Larch Plantations based on Fused Optical Data Using an Improved Variable Screening Method and Stacking Algorithm
- (2020) Xinyu Li et al. Remote Sensing
- Detecting Change in Forest Structure with Simulated GEDI Lidar Waveforms: A Case Study of the Hemlock Woolly Adelgid (HWA; Adelges tsugae) Infestation
- (2020) Peter Brehm Boucher et al. Remote Sensing
- Google Earth Engine for geo-big data applications: A meta-analysis and systematic review
- (2020) Haifa Tamiminia et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Regional Tropical Aboveground Biomass Mapping with L-Band Repeat-Pass Interferometric Radar, Sparse Lidar, and Multiscale Superpixels
- (2020) Charlie Marshak et al. Remote Sensing
- High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data
- (2020) Wang Li et al. International Journal of Applied Earth Observation and Geoinformation
- Highly Local Model Calibration with a New GEDI LiDAR Asset on Google Earth Engine Reduces Landsat Forest Height Signal Saturation
- (2020) Sean P. Healey et al. Remote Sensing
- Estimating Time Since the Last Stand-Replacing Disturbance (TSD) from Spaceborne Simulated GEDI Data: A Feasibility Study
- (2020) Nuria Sanchez-Lopez et al. Remote Sensing
- Accuracy Assessment of GEDI Terrain Elevation and Canopy Height Estimates in European Temperate Forests: Influence of Environmental and Acquisition Parameters
- (2020) Markus Adam et al. Remote Sensing
- The Potential of ICESat-2 to Identify Carbon-Rich Peatlands in Indonesia
- (2020) Anna Berninger et al. Remote Sensing
- Object-Oriented LULC Classification in Google Earth Engine Combining SNIC, GLCM, and Machine Learning Algorithms
- (2020) Andrea Tassi et al. Remote Sensing
- Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass mapping
- (2020) Carlos Alberto Silva et al. REMOTE SENSING OF ENVIRONMENT
- Modeling tropical montane forest biomass, productivity and canopy traits with multispectral remote sensing data
- (2019) Christine I.B. Wallis et al. REMOTE SENSING OF ENVIRONMENT
- Synergy of ICESat-2 and Landsat for Mapping Forest Aboveground Biomass with Deep Learning
- (2019) Lana L. Narine et al. Remote Sensing
- Canopy and Terrain Height Retrievals with ICESat-2: A First Look
- (2019) Amy L. Neuenschwander et al. Remote Sensing
- Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years
- (2019) Jingfeng Xiao et al. REMOTE SENSING OF ENVIRONMENT
- The Ice, Cloud, and Land Elevation Satellite – 2 mission: A global geolocated photon product derived from the Advanced Topographic Laser Altimeter System
- (2019) Thomas A. Neumann et al. REMOTE SENSING OF ENVIRONMENT
- Influence of Variable Selection and Forest Type on Forest Aboveground Biomass Estimation Using Machine Learning Algorithms
- (2019) Li et al. Forests
- Integration of ZiYuan-3 Multispectral and Stereo Data for Modeling Aboveground Biomass of Larch Plantations in North China
- (2019) Guiying Li et al. Remote Sensing
- Combining UAV and Sentinel-2 auxiliary data for forest growing stock volume estimation through hierarchical model-based inference
- (2018) Stefano Puliti et al. REMOTE SENSING OF ENVIRONMENT
- Optimizing kNN for Mapping Vegetation Cover of Arid and Semi-Arid Areas Using Landsat images
- (2018) Hua Sun et al. Remote Sensing
- A GA-based stacking algorithm for predicting soil organic matter from vis-NIR spectral data
- (2018) N. L. Tsakiridis et al. EUROPEAN JOURNAL OF SOIL SCIENCE
- Exploring Bamboo Forest Aboveground Biomass Estimation Using Sentinel-2 Data
- (2018) Yuyun Chen et al. Remote Sensing
- Assessment of red-edge vegetation indices for crop leaf area index estimation
- (2018) Taifeng Dong et al. REMOTE SENSING OF ENVIRONMENT
- The ATL08 land and vegetation product for the ICESat-2 Mission
- (2018) Amy Neuenschwander et al. REMOTE SENSING OF ENVIRONMENT
- Random forest wetland classification using ALOS-2 L-band, RADARSAT-2 C-band, and TerraSAR-X imagery
- (2017) Masoud Mahdianpari et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Climate mitigation from vegetation biophysical feedbacks during the past three decades
- (2017) Zhenzhong Zeng et al. Nature Climate Change
- Diverse relationships between forest growth and the Normalized Difference Vegetation Index at a global scale
- (2016) Sergio M. Vicente-Serrano et al. REMOTE SENSING OF ENVIRONMENT
- The Potential Impact of Vertical Sampling Uncertainty on ICESat-2/ATLAS Terrain and Canopy Height Retrievals for Multiple Ecosystems
- (2016) Amy Neuenschwander et al. Remote Sensing
- Data Service Platform for Sentinel-2 Surface Reflectance and Value-Added Products: System Use and Examples
- (2016) Francesco Vuolo et al. Remote Sensing
- Inventory-based estimation of forest biomass in Shitai County, China: A comparison of five methods
- (2016) X. Tang et al. Annals of Forest Research
- Assessing the utility WorldView-2 imagery for tree species mapping in South African subtropical humid forest and the conservation implications: Dukuduku forest patch as case study
- (2015) Moses Azong Cho et al. International Journal of Applied Earth Observation and Geoinformation
- Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods – A comparison
- (2015) Jochem Verrelst et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables
- (2015) J. García-Gutiérrez et al. NEUROCOMPUTING
- Forest Monitoring Using Landsat Time Series Data: A Review
- (2014) Asim Banskota et al. CANADIAN JOURNAL OF REMOTE SENSING
- A Multiple Migration and Stacking Algorithm Designed for Land Mine Detection
- (2014) John Schofield et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems
- (2014) Dengsheng Lu et al. International Journal of Digital Earth
- Forest canopy height estimation using ICESat/GLAS data and error factor analysis in Hokkaido, Japan
- (2013) Masato Hayashi et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- A novel hybrid ensemble learning paradigm for nuclear energy consumption forecasting
- (2012) Ling Tang et al. APPLIED ENERGY
- Random forest regression and spectral band selection for estimating sugarcane leaf nitrogen concentration using EO-1 Hyperion hyperspectral data
- (2012) Elfatih M. Abdel-Rahman et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Estimating tropical forest biomass with a combination of SAR image texture and Landsat TM data: An assessment of predictions between regions
- (2012) M.E.J. Cutler et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- A Review of Remote Sensing of Forest Biomass and Biofuel: Options for Small-Area Applications
- (2011) Colin J. Gleason et al. GIScience & Remote Sensing
- Mapping forest canopy height globally with spaceborne lidar
- (2011) Marc Simard et al. JOURNAL OF GEOPHYSICAL RESEARCH
- An Object-Based Classification of Mangroves Using a Hybrid Decision Tree—Support Vector Machine Approach
- (2011) Benjamin W. Heumann Remote Sensing
- A Novel hybrid genetic algorithm for kernel function and parameter optimization in support vector regression
- (2008) Chih-Hung Wu et al. EXPERT SYSTEMS WITH APPLICATIONS
- Lidar: shedding new light on habitat characterization and modeling
- (2008) Kerri T Vierling et al. FRONTIERS IN ECOLOGY AND THE ENVIRONMENT
- Comparing annual MODIS and PRODES forest cover change data for advancing monitoring of Brazilian forest cover
- (2008) M HANSEN et al. REMOTE SENSING OF ENVIRONMENT
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now