Synthesis of Leaf-on and Leaf-off Unmanned Aerial Vehicle (UAV) Stereo Imagery for the Inventory of Aboveground Biomass of Deciduous Forests
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Synthesis of Leaf-on and Leaf-off Unmanned Aerial Vehicle (UAV) Stereo Imagery for the Inventory of Aboveground Biomass of Deciduous Forests
Authors
Keywords
-
Journal
Remote Sensing
Volume 11, Issue 7, Pages 889
Publisher
MDPI AG
Online
2019-04-13
DOI
10.3390/rs11070889
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Estimation of Forest Leaf Area Index Using Height and Canopy Cover Information Extracted From Unmanned Aerial Vehicle Stereo Imagery
- (2019) Dafeng Zhang et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Mapping Three-Dimensional Structures of Forest Canopy Using UAV Stereo Imagery: Evaluating Impacts of Forward Overlaps and Image Resolutions With LiDAR Data as Reference
- (2018) Wenjian Ni et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Magnitude, spatial distribution and uncertainty of forest biomass stocks in Mexico
- (2016) Pedro Rodríguez-Veiga et al. REMOTE SENSING OF ENVIRONMENT
- Lidar detection of individual tree size in tropical forests
- (2016) António Ferraz et al. REMOTE SENSING OF ENVIRONMENT
- The Complicate Observations and Multi-Parameter Land Information Constructions on Allied Telemetry Experiment (COMPLICATE)
- (2015) Xin Tian et al. PLoS One
- Extraction of ground surface elevation from ZY-3 winter stereo imagery over deciduous forested areas
- (2015) Wenjian Ni et al. REMOTE SENSING OF ENVIRONMENT
- Optimal Altitude, Overlap, and Weather Conditions for Computer Vision UAV Estimates of Forest Structure
- (2015) Jonathan Dandois et al. Remote Sensing
- Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo-reconstruction methods
- (2014) P.J. Zarco-Tejada et al. EUROPEAN JOURNAL OF AGRONOMY
- A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems
- (2014) Dengsheng Lu et al. International Journal of Digital Earth
- Operational performance of the ALOS global systematic acquisition strategy and observation plans for ALOS-2 PALSAR-2
- (2014) A. Rosenqvist et al. REMOTE SENSING OF ENVIRONMENT
- The uncertainty of biomass estimates from LiDAR and SAR across a boreal forest structure gradient
- (2014) P.M. Montesano et al. REMOTE SENSING OF ENVIRONMENT
- Using Unmanned Aerial Vehicles (UAV) to Quantify Spatial Gap Patterns in Forests
- (2014) Stephan Getzin et al. Remote Sensing
- Estimating forest biomass and height using optical stereo satellite data and a DTM from laser scanning data
- (2013) Henrik Persson et al. CANADIAN JOURNAL OF REMOTE SENSING
- Co-Registration of Two DEMs: Impacts on Forest Height Estimation From SRTM and NED at Mountainous Areas
- (2013) Wenjian Ni et al. IEEE Geoscience and Remote Sensing Letters
- A New Method for Segmenting Individual Trees from the Lidar Point Cloud
- (2013) Wenkai Li et al. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
- High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision
- (2013) Jonathan P. Dandois et al. REMOTE SENSING OF ENVIRONMENT
- Accuracy Assessment of Digital Surface Models Based on WorldView-2 and ADS80 Stereo Remote Sensing Data
- (2012) Martina L. Hobi et al. SENSORS
- Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps
- (2012) A. Baccini et al. Nature Climate Change
- Development of a UAV-LiDAR System with Application to Forest Inventory
- (2012) Luke Wallace et al. Remote Sensing
- Mapping forest canopy height globally with spaceborne lidar
- (2011) Marc Simard et al. JOURNAL OF GEOPHYSICAL RESEARCH
- 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
- Characterizing 3D vegetation structure from space: Mission requirements
- (2011) Forrest G. Hall 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
- Evaluating uncertainty in mapping forest carbon with airborne LiDAR
- (2011) Joseph Mascaro et al. REMOTE SENSING OF ENVIRONMENT
- A Large and Persistent Carbon Sink in the World's Forests
- (2011) Y. Pan et al. SCIENCE
- A global forest canopy height map from the Moderate Resolution Imaging Spectroradiometer and the Geoscience Laser Altimeter System
- (2010) Michael A. Lefsky GEOPHYSICAL RESEARCH LETTERS
- Forest carbon densities and uncertainties from Lidar, QuickBird, and field measurements in California
- (2010) Patrick Gonzalez et al. REMOTE SENSING OF ENVIRONMENT
- Terrestrial Gross Carbon Dioxide Uptake: Global Distribution and Covariation with Climate
- (2010) C. Beer et al. SCIENCE
- Mapping canopy height using a combination of digital stereo‐photogrammetry and lidar
- (2008) B. St‐Onge et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Mapping U.S. forest biomass using nationwide forest inventory data and moderate resolution information
- (2007) J BLACKARD et al. REMOTE SENSING OF ENVIRONMENT
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search