BG11

Remote sensing for forest applications

BG11

Remote sensing for forest applications

Convener: Markus Hollaus | Co-conveners: Christian Ginzler, Xinlian Liang, Eva Lindberg, Emanuele Lingua

vPICO presentations

| Mon, 26 Apr, 09:00–12:30 (CEST)

vPICO presentations: Mon, 26 Apr

Chairpersons: Eva Lindberg, Christian Ginzler, Markus Hollaus

09:00–09:05

5-minute convener introduction

Detection of forest disturbances with RS

EGU21-2117

ECS

solicited

Abiotic forest disturbances in Europe: mapping distribution and trends from space

Cornelius Senf et al.

EGU21-16177

Forest disturbances detection in Vietnam, Cambodia and Laos using Sentinel-1 data | Highlight

Stéphane Mermoz et al.

EGU21-16015

ECS

Near-real-time identification of the drivers of deforestation in French Guiana | Highlight

Marie Ballere et al.

EGU21-9033

Derivating forest structure from Sentinel-1 time series to assist forest fire risk assessments

Moritz Bruggisser et al.

EGU21-3147

ECS

Quantifying Local-scale Forest Degradation Intensity from Charcoal Production Using a Fusion of GEDI and Landsat Data

Mengyu Liang et al.

EGU21-10719

ECS

Mapping catastrophic ice damage in forested area: a case study for a deciduous forest in Hungary

László Zoltán et al.

EGU21-8297

ECS

Automatic Tree Crown Feature Extraction from UAS Multispectral Imagery for the Detection of Bark Beetle Disturbance in an Urban Forest

Robert Minařík et al.

EGU21-15731

ECS

Mapping present-day mountain treeline pattern based on high-resolution remote sensing images

Xinyue He et al.

Biophysical parameters from RS

EGU21-11209

ECS

solicited

Wide-area shrub forest map based on multi-sensor data and active learning

Marius Rüetschi et al.

EGU21-4616

ECS

Machine learning based estimation of aboveground biomass in subalpine forests using Landsat 8 OLI and Sentinel-2B images in Jiuzhaigou National Nature Reserve, Eastern Tibet Plateau

Ke Luo et al.

EGU21-5111

ECS

Estimation of aboveground plant water storage using Sentinel-2 images in a semi-arid area

Liang Liu et al.

EGU21-9189

Using high-resolution UAV spectral images to disentangle soil, shade, and tree contributions to satellite vegetation indices in sparse dry forests

Huanhuan Wang et al.

EGU21-11098

ECS

Evapotranspiration intensification over unchanged temperate vegetation in the Baltic states is being driven by climate shifts

Bruno Montibeller et al.

EGU21-14211

ECS

Potential of Sentinel and high resolution EO data for monitoring nature protection in cities – the SeMoNa22 project

Anna Iglseder et al.

EGU21-15106

ECS

SiDroForest Siberian Drone-mapped Forest inventory

Femke van Geffen et al.

EGU21-16273

Detecting a keystone species European aspen in boreal forests with airborne hyperspectral, LiDAR and UAV data with machine learning methods

Timo Kumpula et al.

EGU21-12980

ECS

Quantitative measurements of pigments in coniferous by the method of differential optical absorption spectroscopy

Ilya Bruchkouski et al.

EGU21-83

ECS

Heterogenous Patterns in Leaf Phenology Across a Climate Gradient in Maritime Canada Observed through Phenocams

Lynsay Spafford and Andrew H. MacDougall

Spectral images for tree species classifications

09:57–10:30

Meet the authors in their breakout text chats

Chairpersons: Markus Hollaus, Xinlian Liang, Emanuele Lingua

EGU21-14341

ECS

solicited

The identification of meaningful variables from Sentinel-2 time series data for effective tree species classification

Tiziana L. Koch et al.

EGU21-12957

ECS

Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks

Felix Schiefer et al.

EGU21-15269

ECS

Drying out conifers classification employing TripleSat satellite data

Hleb Litvinovich et al.

Point clouds for forestry applications

EGU21-9197

solicited

Presenting the GeForse approach to create synthetic LiDAR data from simulated forest stands to optimize forest inventories

Fabian E. Fassnacht et al.

EGU21-9178

ECS

Virtual laser scanning (VLS) in forestry – Investigating appropriate 3D forest representations for LiDAR simulations with HELIOS++

Hannah Weiser et al.

EGU21-5399

ECS

Above Ground Biomass References for Urban Trees from Terrestrial Laser Scanning Data

Daniel Kükenbrink et al.

EGU21-8689

ECS

Tree segmentation and classification of deciduous park trees in Sanssouci Park, Potsdam, Germany, using airborne and terrestrial lidar point clouds

Aljoscha Rheinwalt and Bodo Bookhagen

EGU21-12755

ECS

Forest fuel assessment by LiDAR data. A case study in NE Italy

Flavio Taccaliti et al.

EGU21-14694

Experiments with unsupervised analysis of lacunarity curves of LiDAR point clouds in forested areas

Adam Kania and Balázs Székely

EGU21-13509

ECS

A stepwise approach for deriving timber assortment of trees from Terrestrial Laser Scanning data

Cesar Alvites et al.

EGU21-15628

Density-Based Individual Tree Detection from Three-Dimensional Point Clouds

Carlo Camporeale et al.

EGU21-2226

ECS

Detection of drainage ditches using high-resolution LIDAR data in the Swedish forest

Siddhartho S. Paul et al.

EGU21-10677

ECS

A new drone laser scanning benchmark dataset for characterization of single-tree and forest biophysical properties

Puliti Stefano et al.

11:42–12:30

Meet the authors in their breakout text chats