NDLI: Comparing small-footprint lidar and forest inventory data for single strata biomass estimation - A case study over a multi-layered mediterranean forest

Content Provider	IEEE Xplore Digital Library
Author	Ferraz, A. Goncalves, G. Soares, P. Tome, M. Mallet, C. Jacquemoud, S. Bretar, F. Pereira, L.
Copyright Year	2012
Description	Author affiliation: Universidade de Aveiro, Escola Superior de Tecnologia e Gestão de Águeda, Portugal (Pereira, L.) \|\| CETE Normandie Centre, Laboratoire des Ponts et Chaussées, Grand Quevilly, France (Bretar, F.) \|\| Instituto de Engenharia de Sistemas e Computadores de Coimbra, Portugal (Goncalves, G.) \|\| IGN, Laboratoire MATIS, Université Paris Est, Saint-Mandé, France (Ferraz, A.; Mallet, C.) \|\| Universidade Técnica de Lisboa, Instituto Superior de Agronomia, Centro de Estudos Florestais, Portugal (Soares, P.; Tome, M.) \|\| Institut de physique du globe de Paris, Géophysique spatiale et planétaire, France (Jacquemoud, S.)
Abstract	Current methods for accurately estimating vegetation biomass with remote sensing data require extensive, representative and time consuming field measurements to calibrate the sensor signal. In addition, such techniques focus on the topmost vegetation canopy and thus they are of little use over multi-layered forest ecosystems where the underneath strata hold considerable amounts of biomass. This work is the first attempt to estimate biomass by remote sensing without the need for massive in situ measurements. Indeed, we use small-footprint airborne laser scanning (ALS) data to derive key forest metrics, which are used in allometric equations that were originally established to assess biomass using field measurements. Field- and ALS-derived biomass estimates are compared over 40 plots of a multi-layered Mediterranean forest. Linear regression models explain up to 99% of the variability associated with surface vegetation, understory, and overstory biomass.
Starting Page	6384
Ending Page	6387
File Size	494802
Page Count	4
File Format	PDF
ISBN	9781467311601
ISSN	21536996
e-ISBN	9781467311595
e-ISBN	9781467311588
DOI	10.1109/IGARSS.2012.6352720
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-22
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biomass Vegetation Vegetation mapping Equations Mathematical model Remote sensing Laser radar stratum biomass estimates allometric equations airborne laser scanning forest vertical stratification
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Effects of forest spatial structure on large footprint lidar waveform

Airborne Lidar Estimation of Aboveground Forest Biomass in the Absence of Field Inventory

Optimizing ground return detection through forest canopies with small footprint airborne mapping LiDAR

Estimation of Coniferous Forest Above-Ground Biomass Using LiDAR and SPOT-5 Data

Sparse Density, Leaf-Off Airborne Laser Scanning Data in Aboveground Biomass Component Prediction

Forest biomass estimation using radar and lidar synergies

SAR radargrammetry and scanning LiDAR in predicting forest canopy height

Detecting seasonal change of deciduous trees using ALOS PALSAR and airborne lidar

Modeling lidar and radar returns of forest canopies for data fusion

Comparing small-footprint lidar and forest inventory data for single strata biomass estimation - A case study over a multi-layered mediterranean forest

Similar Documents

Effects of forest spatial structure on large footprint lidar waveform

Airborne Lidar Estimation of Aboveground Forest Biomass in the Absence of Field Inventory

Optimizing ground return detection through forest canopies with small footprint airborne mapping LiDAR

Estimation of Coniferous Forest Above-Ground Biomass Using LiDAR and SPOT-5 Data

Sparse Density, Leaf-Off Airborne Laser Scanning Data in Aboveground Biomass Component Prediction

Forest biomass estimation using radar and lidar synergies

SAR radargrammetry and scanning LiDAR in predicting forest canopy height

Detecting seasonal change of deciduous trees using ALOS PALSAR and airborne lidar

Modeling lidar and radar returns of forest canopies for data fusion

Comparing small-footprint lidar and forest inventory data for single strata biomass estimation - A case study over a multi-layered mediterranean forest