Stefan Oehmcke
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View article: Farmer Managed Natural Regeneration Promotes Expansion of Trees on Croplands in the Sahel
Farmer Managed Natural Regeneration Promotes Expansion of Trees on Croplands in the Sahel Open
The expansion of trees on croplands in the Sahel has been promoted as a nature-based solution to climate challenges, particularly through Farmer Managed Natural Regeneration (FMNR). Yet large-scale assessments of cropland tree dynamics rem…
View article: Multimodal classification of forest biodiversity potential from 2D orthophotos and 3D airborne laser scanning point clouds
Multimodal classification of forest biodiversity potential from 2D orthophotos and 3D airborne laser scanning point clouds Open
Assessment of forest biodiversity is crucial for ecosystem management and conservation. While traditional field surveys provide high-quality assessments, they are labor-intensive and spatially limited. This study investigates whether deep …
View article: Modelling Residential Fire Vulnerability of Denmark
Modelling Residential Fire Vulnerability of Denmark Open
This study analyzes socio-economic demographics (including Geomatic conzoom® segmented demographic variables) as well as building and property registration information as risk factors in relation to the prevalence of residential building f…
View article: Nacala-Roof-Material: Drone Imagery for Roof Detection, Classification, and Segmentation to Support Mosquito-borne Disease Risk Assessment
Nacala-Roof-Material: Drone Imagery for Roof Detection, Classification, and Segmentation to Support Mosquito-borne Disease Risk Assessment Open
As low-quality housing and in particular certain roof characteristics are associated with an increased risk of malaria, classification of roof types based on remote sensing imagery can support the assessment of malaria risk and thereby hel…
View article: MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning
MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning Open
The volume of unlabelled Earth observation (EO) data is huge, but many important applications lack labelled training data. However, EO data offers the unique opportunity to pair data from different modalities and sensors automatically base…
View article: Large-scale satellite mapping unveils uneven wetland restoration needs across Europe
Large-scale satellite mapping unveils uneven wetland restoration needs across Europe Open
Wetlands are crucial carbon sinks for climate change mitigation, yet historical land use changes have resulted in carbon losses and increased CO2 emissions. To combat this, the European Union aims to restore 30% of degraded wetlands in Eur…
View article: Long-Term Trends in Senegalese Dryland Tree Density
Long-Term Trends in Senegalese Dryland Tree Density Open
The historical extent and distribution of trees is central to our understanding of the current and future dynamics within the terrestrial biosphere. Typically, trees outside of forests, that characterise drylands, are often left out of coa…
View article: High-resolution mapping of tree mortality in European forests
High-resolution mapping of tree mortality in European forests Open
Tree mortality has escalated worldwide in recent years due to climate warming and unprecedented drought events. However, mapping tree mortality across forest ecosystems has not yet been achieved. Aerial photos provide opportunities to reve…
View article: Tree Counting by Bridging 3D Point Clouds with Imagery
Tree Counting by Bridging 3D Point Clouds with Imagery Open
Accurate and consistent methods for counting trees based on remote sensing data are needed to support sustainable forest management, assess climate change mitigation strategies, and build trust in tree carbon credits. Two-dimensional remot…
View article: Scattered tree death contributes to substantial forest loss in California
Scattered tree death contributes to substantial forest loss in California Open
In recent years, large-scale tree mortality events linked to global change have occurred around the world. Current forest monitoring methods are crucial for identifying mortality hotspots, but systematic assessments of isolated or scattere…
View article: Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR
Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR Open
Quantifying forest biomass stocks and their dynamics is important for implementing effective climate change mitigation measures by aiding local forest management, studying processes driving af-, re-, and deforestation, and improving the ac…
View article: High nitrous oxide emissions from temporary flooded depressions within croplands
High nitrous oxide emissions from temporary flooded depressions within croplands Open
Nitrous oxide is an important greenhouse gas and emissions from managed ecosystems are directly correlated to anthropogenic nitrogen input. Here we have measured nitrous oxide emissions from flooded depressions within croplands and from in…
View article: Predicting urban tree cover from incomplete point labels and limited background information
Predicting urban tree cover from incomplete point labels and limited background information Open
Trees inside cities are important for the urban microclimate, contributing positively to the physical and mental health of the urban dwellers. Despite their importance, often only limited information about city trees is available. Therefor…
View article: Multi-scale pseudo labeling for unsupervised deep edge detection
Multi-scale pseudo labeling for unsupervised deep edge detection Open
Deep learning currently rules edge detection. However, the impressive progress heavily relies on high-quality manually annotated labels which require a significant amount of labor and time. In this study, we propose a novel unsupervised le…
View article: Deep learning tree and forest biomass from sub-meter resolution images
Deep learning tree and forest biomass from sub-meter resolution images Open
Computational visual intelligence has been shown to be able to comprehend the content of images, which has been widely used to foster a digitized society, but is often underutilized in applications related to the green transition and clima…
View article: Aboveground biomass estimates from UAV LiDAR improved via contextual learning in a Norway spruce forest
Aboveground biomass estimates from UAV LiDAR improved via contextual learning in a Norway spruce forest Open
Forest structure analysis and biomass prediction systems are key tools for advancingforest trait-based ecology and management. Surveys using Unmanned Aerial Vehicles(UAV) and Light Detection and Ranging (LiDAR) systems have contributedto t…
View article: BuildSeg: A General Framework for the Segmentation of Buildings
BuildSeg: A General Framework for the Segmentation of Buildings Open
Building segmentation from aerial images and 3D laser scanning (LiDAR) is a challenging task due to the diversity of backgrounds, building textures, and image quality. While current research using different types of convolutional and trans…
View article: Africa tree cover map
Africa tree cover map Open
Data description This file is a 100 m resolution map of % tree canopy cover per pixel for Africa in 2019. Tree cover values range from 0-100 % and nodata areas are masked as -1. The map is derived from predictions of tree cover using 3 m P…
View article: Africa tree cover map
Africa tree cover map Open
Data description This file is a 100 m resolution map of % tree canopy cover per pixel for Africa in 2019. Tree cover values range from 0-100 % and nodata areas are masked as -1. The map is derived from predictions of tree cover using 3 m P…
View article: Deep learning enables image-based tree counting, crown segmentation, and height prediction at national scale
Deep learning enables image-based tree counting, crown segmentation, and height prediction at national scale Open
Sustainable tree resource management is the key to mitigating climate warming, fostering a green economy, and protecting valuable habitats. Detailed knowledge about tree resources is a prerequisite for such management but is conventionally…
View article: Remember to Correct the Bias When Using Deep Learning for Regression!
Remember to Correct the Bias When Using Deep Learning for Regression! Open
When training deep learning models for least-squares regression, we cannot expect that the training error residuals of the final model, selected after a fixed training time or based on performance on a hold-out data set, sum to zero. This …
View article: Satellite-based continental-scale inventory of European wetland types at 10m spatial resolution
Satellite-based continental-scale inventory of European wetland types at 10m spatial resolution Open
Wetlands provide invaluable services for ecosystems and society and are a crucial instrument in our fight against climate change. Although Earth Observation satellites offer cost-effective and accurate information about wetland status at t…
View article: Mapping and characterising tree mortality in California at individual tree level using deep learning
Mapping and characterising tree mortality in California at individual tree level using deep learning Open
Tree mortality caused by natural disturbances, such as droughts, insects, and wildfires, is a global issue due to increased frequency and severity of extreme weather. California has been a major hotspot of large-scale tree mortality since …
View article: BuildSeg: A General Framework for the Segmentation of Buildings
BuildSeg: A General Framework for the Segmentation of Buildings Open
Building segmentation from aerial images and 3D laser scanning (LiDAR) is a challenging task due to the diversity of backgrounds, building textures, and image quality. While current research using different types of convolutional and trans…
View article: Dataset: Scattered tree death contributes to substantial forest loss in California
Dataset: Scattered tree death contributes to substantial forest loss in California Open
Tree mortality maps derived from aerial photos (NAIP) of 2020 in California for the paper titled Scattered tree death contributes to substantial forest loss in California. The dataset includes dead tree count per ha (100 m), median dead cr…
View article: Dataset: Scattered tree death contributes to substantial forest loss in California
Dataset: Scattered tree death contributes to substantial forest loss in California Open
Tree mortality maps derived from aerial photos (NAIP) of 2020 in California for the paper titled Scattered tree death contributes to substantial forest loss in California.The dataset includes dead tree count per ha (100 m), median dead cro…
View article: Dataset: Scattered tree death contributes to substantial forest loss in California
Dataset: Scattered tree death contributes to substantial forest loss in California Open
Tree mortality maps derived from aerial photos (NAIP) of 2020 in California for the paper titled Scattered tree death contributes to substantial forest loss in California.The dataset includes dead tree count per ha (100 m), median dead cro…