Interest of Integrating Spaceborne LiDAR Data to Improve the Estimation of Biomass in High Biomass Forested Areas
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Interest of Integrating Spaceborne LiDAR Data to Improve the Estimation of Biomass in High Biomass Forested Areas
Authors
Keywords
-
Journal
Remote Sensing
Volume 9, Issue 3, Pages 213
Publisher
MDPI AG
Online
2017-02-28
DOI
10.3390/rs9030213
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An integrated pan-tropical biomass map using multiple reference datasets
- (2016) Valerio Avitabile et al. GLOBAL CHANGE BIOLOGY
- Aboveground biomass mapping in French Guiana by combining remote sensing, forest inventories and environmental data
- (2016) Ibrahim Fayad et al. International Journal of Applied Earth Observation and Geoinformation
- Bioclimatic envelope models predict a decrease in tropical forest carbon stocks with climate change in Madagascar
- (2016) Ghislain Vieilledent et al. JOURNAL OF ECOLOGY
- SAR tomography for the retrieval of forest biomass and height: Cross-validation at two tropical forest sites in French Guiana
- (2016) Dinh Ho Tong Minh et al. REMOTE SENSING OF ENVIRONMENT
- Examining Spectral Reflectance Saturation in Landsat Imagery and Corresponding Solutions to Improve Forest Aboveground Biomass Estimation
- (2016) Panpan Zhao et al. Remote Sensing
- Evaluation of ALOS/PALSAR L-Band Data for the Estimation of Eucalyptus Plantations Aboveground Biomass in Brazil
- (2015) Nicolas Baghdadi et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Capabilities of BIOMASS Tomography for Investigating Tropical Forests
- (2015) Dinh Ho Tong Minh et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Improved allometric models to estimate the aboveground biomass of tropical trees
- (2014) Jérôme Chave et al. GLOBAL CHANGE BIOLOGY
- Application of Physically-Based Slope Correction for Maximum Forest Canopy Height Estimation Using Waveform Lidar across Different Footprint Sizes and Locations: Tests on LVIS and GLAS
- (2014) Taejin Park et al. Remote Sensing
- Viability Statistics of GLAS/ICESat Data Acquired Over Tropical Forests
- (2013) Nicolas N. Baghdadi et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Relating P-Band Synthetic Aperture Radar Tomography to Tropical Forest Biomass
- (2013) Dinh Ho Tong Minh et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps
- (2012) A. Baccini et al. Nature Climate Change
- Influence of Surface Topography on ICESat/GLAS Forest Height Estimation and Waveform Shape
- (2012) Claudia Hilbert et al. Remote Sensing
- Validation of the ICEsat vegetation product using crown-area-weighted mean height derived using crown delineation with discrete return lidar data
- (2011) Yong Pang et al. CANADIAN JOURNAL OF REMOTE SENSING
- A universal approach to estimate biomass and carbon stock in tropical forests using generic allometric models
- (2011) G Vieilledent et al. ECOLOGICAL APPLICATIONS
- Estimating vertical error of SRTM and map-based DEMs using ICESat altimetry data in the eastern Tibetan Plateau
- (2011) Xiaodong Huang et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Benchmark map of forest carbon stocks in tropical regions across three continents
- (2011) S. S. Saatchi et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- L- and P-band backscatter intensity for biomass retrieval in hemiboreal forest
- (2011) G. Sandberg et al. REMOTE SENSING OF ENVIRONMENT
- Physically based vertical vegetation structure retrieval from ICESat data: Validation using LVIS in White Mountain National Forest, New Hampshire, USA
- (2011) Shihyan Lee et al. REMOTE SENSING OF ENVIRONMENT
- The BIOMASS mission: Mapping global forest biomass to better understand the terrestrial carbon cycle
- (2011) T. Le Toan et al. REMOTE SENSING OF ENVIRONMENT
- A Large and Persistent Carbon Sink in the World's Forests
- (2011) Y. Pan et al. SCIENCE
- Vegetation height estimates for a mixed temperate forest using satellite laser altimetry
- (2008) J. A. B. Rosette et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Regional aboveground forest biomass using airborne and spaceborne LiDAR in Québec
- (2008) J BOUDREAU et al. REMOTE SENSING OF ENVIRONMENT
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started