Sensitivity of LiDar parameters to aboveground biomass in winter spelt

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: In: 10.3390/drones7020121

Event: Veröffentlichung

(where): Aachen

(who): Universitätsbibliothek der RWTH Aachen

(when): 2023

Creator: Montzka, Carsten
Donat, Marco
Raj, Rahul
Welter, Philipp
Bates, Jordan Steven

DOI: 10.18154/RWTH-2023-03482

URN: urn:nbn:de:101:1-2023051701372333239454

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:44 AM CEST

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Associated

Montzka, Carsten
Donat, Marco
Raj, Rahul
Welter, Philipp
Bates, Jordan Steven
Universitätsbibliothek der RWTH Aachen

Time of origin

2023

Other Objects (12)

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

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

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

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

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

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

Estimating urban above ground biomass with multi-scale LiDAR

Estimation of forest aboveground biomass and uncertainties by integration of field measurements, airborne LiDAR, and SAR and optical satellite data in Mexico

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

The Arctic Plant Aboveground Biomass Synthesis Dataset

Machine Learning with UAS LiDAR for Winter Wheat Biomass Estimations

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

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

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

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

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

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

Estimating urban above ground biomass with multi-scale LiDAR

Estimation of forest aboveground biomass and uncertainties by integration of field measurements, airborne LiDAR, and SAR and optical satellite data in Mexico

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

The Arctic Plant Aboveground Biomass Synthesis Dataset

Machine Learning with UAS LiDAR for Winter Wheat Biomass Estimations

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

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

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

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

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

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

Estimating urban above ground biomass with multi-scale LiDAR

Estimation of forest aboveground biomass and uncertainties by integration of field measurements, airborne LiDAR, and SAR and optical satellite data in Mexico

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

The Arctic Plant Aboveground Biomass Synthesis Dataset

Machine Learning with UAS LiDAR for Winter Wheat Biomass Estimations

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Sensitivity of LiDar parameters to aboveground biomass in winter spelt

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Other Objects (12)

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

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

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

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

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

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

Estimating urban above ground biomass with multi-scale LiDAR

Estimation of forest aboveground biomass and uncertainties by integration of field measurements, airborne LiDAR, and SAR and optical satellite data in Mexico

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

The Arctic Plant Aboveground Biomass Synthesis Dataset

Machine Learning with UAS LiDAR for Winter Wheat Biomass Estimations

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

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

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

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

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

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

Estimating urban above ground biomass with multi-scale LiDAR

Estimation of forest aboveground biomass and uncertainties by integration of field measurements, airborne LiDAR, and SAR and optical satellite data in Mexico

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

The Arctic Plant Aboveground Biomass Synthesis Dataset

Machine Learning with UAS LiDAR for Winter Wheat Biomass Estimations

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

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

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

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

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

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

Estimating urban above ground biomass with multi-scale LiDAR

Estimation of forest aboveground biomass and uncertainties by integration of field measurements, airborne LiDAR, and SAR and optical satellite data in Mexico

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

The Arctic Plant Aboveground Biomass Synthesis Dataset

Machine Learning with UAS LiDAR for Winter Wheat Biomass Estimations

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