Improving aboveground biomass maps of tropical dry forests by integrating LiDAR, ALOS PALSAR, climate and field data

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1750-0680

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Improving aboveground biomass maps of tropical dry forests by integrating LiDAR, ALOS PALSAR, climate and field data ; volume:15 ; number:1 ; day:29 ; month:7 ; year:2020 ; pages:1-17 ; date:12.2020
Carbon balance and management ; 15, Heft 1 (29.7.2020), 1-17, 12.2020

Creator: Hernández-Stefanoni, J. Luis
Castillo-Santiago, Miguel Ángel
Mas, Jean Francois
Wheeler, Charlotte E.
Andres-Mauricio, Juan
Tun-Dzul, Fernando
George-Chacón, Stephanie P.
Reyes-Palomeque, Gabriela
Castellanos-Basto, Blanca
Vaca, Raúl
Dupuy, Juan Manuel

Contributor: SpringerLink (Online service)

DOI: 10.1186/s13021-020-00151-6

URN: urn:nbn:de:101:1-2020092522404729792937

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 30.05.20252025, 7:59 AM CEST

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Associated

Hernández-Stefanoni, J. Luis
Castillo-Santiago, Miguel Ángel
Mas, Jean Francois
Wheeler, Charlotte E.
Andres-Mauricio, Juan
Tun-Dzul, Fernando
George-Chacón, Stephanie P.
Reyes-Palomeque, Gabriela
Castellanos-Basto, Blanca
Vaca, Raúl
Dupuy, Juan Manuel
SpringerLink (Online service)

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Improving aboveground biomass maps of tropical dry forests by integrating LiDAR, ALOS PALSAR, climate and field data

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Other Objects (12)

Integrating spaceborne LiDAR and Sentinel-2 images to estimate forest aboveground biomass in Northern China

Sensitivity of LiDar parameters to aboveground biomass in winter spelt

Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission

Improved aboveground biomass estimation and regional assessment with aerial lidar in California’s subalpine forests

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ABOVEGROUND BIOMASS ESTIMATION USING RECONSTRUCTED FEATURE OF AIRBORNE DISCRETE-RETURN LIDAR BY AUTO-ENCODER NEURAL NETWORK

The Arctic Plant Aboveground Biomass Synthesis Dataset

Mapping aboveground biomass and its prediction uncertainty using LiDAR and field data, accounting for tree-level allometric and LiDAR model errors

The impact of long dry periods on the aboveground biomass in a tropical forest: 20 years of monitoring

Aboveground biomass at the Hartheim Forest research site 2023

Estimating forest aboveground biomass by low density lidar data in mixed broad-leaved forests in the Italian Pre-Alps

Integration of UAV LiDAR and WorldView-2 images for modeling mangrove aboveground biomass with GA-ANN wrapper

Integrating spaceborne LiDAR and Sentinel-2 images to estimate forest aboveground biomass in Northern China

Sensitivity of LiDar parameters to aboveground biomass in winter spelt

Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission

Improved aboveground biomass estimation and regional assessment with aerial lidar in California’s subalpine forests

Impact of data model and point density on aboveground forest biomass estimation from airborne LiDAR

ABOVEGROUND BIOMASS ESTIMATION USING RECONSTRUCTED FEATURE OF AIRBORNE DISCRETE-RETURN LIDAR BY AUTO-ENCODER NEURAL NETWORK

The Arctic Plant Aboveground Biomass Synthesis Dataset

Mapping aboveground biomass and its prediction uncertainty using LiDAR and field data, accounting for tree-level allometric and LiDAR model errors

The impact of long dry periods on the aboveground biomass in a tropical forest: 20 years of monitoring

Aboveground biomass at the Hartheim Forest research site 2023

Estimating forest aboveground biomass by low density lidar data in mixed broad-leaved forests in the Italian Pre-Alps

Integration of UAV LiDAR and WorldView-2 images for modeling mangrove aboveground biomass with GA-ANN wrapper

Integrating spaceborne LiDAR and Sentinel-2 images to estimate forest aboveground biomass in Northern China

Sensitivity of LiDar parameters to aboveground biomass in winter spelt

Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission

Improved aboveground biomass estimation and regional assessment with aerial lidar in California’s subalpine forests

Impact of data model and point density on aboveground forest biomass estimation from airborne LiDAR

ABOVEGROUND BIOMASS ESTIMATION USING RECONSTRUCTED FEATURE OF AIRBORNE DISCRETE-RETURN LIDAR BY AUTO-ENCODER NEURAL NETWORK

The Arctic Plant Aboveground Biomass Synthesis Dataset

Mapping aboveground biomass and its prediction uncertainty using LiDAR and field data, accounting for tree-level allometric and LiDAR model errors

The impact of long dry periods on the aboveground biomass in a tropical forest: 20 years of monitoring

Aboveground biomass at the Hartheim Forest research site 2023

Estimating forest aboveground biomass by low density lidar data in mixed broad-leaved forests in the Italian Pre-Alps

Integration of UAV LiDAR and WorldView-2 images for modeling mangrove aboveground biomass with GA-ANN wrapper

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