Marco Heurich
Orcid: 0000-0003-0051-2930
According to our database1,
Marco Heurich
authored at least 49 papers
between 2011 and 2023.
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Bibliography
2023
Data from: Day versus night use of forest by red and roe deer as determined by Corine Land Cover and Copernicus Tree Cover Density: assessing use of geographic layers in movement ecology.
Dataset, February, 2023
Automatic Classification of Single Tree Decay Stages from Combined ALS Data and Aerial Imagery using Machine Learning.
CoRR, 2023
2022
A Learnable Model With Calibrated Uncertainty Quantification for Estimating Canopy Height From Spaceborne Sequential Imagery.
IEEE Trans. Geosci. Remote. Sens., 2022
2021
Comparative Evaluation of Algorithms for Leaf Area Index Estimation from Digital Hemispherical Photography through Virtual Forests.
Remote. Sens., 2021
Machine learning methods' performance in radiative transfer model inversion to retrieve plant traits from Sentinel-2 data of a mixed mountain forest.
Int. J. Digit. Earth, 2021
A hybrid convolutional neural network/active contour approach to segmenting dead trees in aerial imagery.
CoRR, 2021
Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors.
CoRR, 2021
Estimating fine-scale visibility in a temperate forest landscape using airborne laser scanning.
Int. J. Appl. Earth Obs. Geoinformation, 2021
Mapping leaf area index in a mixed temperate forest using Fenix airborne hyperspectral data and Gaussian processes regression.
Int. J. Appl. Earth Obs. Geoinformation, 2021
Mapping individual silver fir trees using hyperspectral and LiDAR data in a Central European mixed forest.
Int. J. Appl. Earth Obs. Geoinformation, 2021
Canopy Height Estimation from Spaceborne Imagery Using Convolutional Encoder-Decoder.
Proceedings of the MultiMedia Modeling - 27th International Conference, 2021
Minimizing the Annotation Effort for Detecting Wildlife in Camera Trap Images with Active Learning.
Proceedings of the 51. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2021 - Computer Science & Sustainability, Berlin, Germany, 27. September, 2021
2020
Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity - Part II: Geomorphology, Terrain and Surfaces.
Remote. Sens., 2020
Large-Scale Mapping of Tree Species and Dead Trees in Šumava National Park and Bavarian Forest National Park Using Lidar and Multispectral Imagery.
Remote. Sens., 2020
Mapping Canopy Chlorophyll Content in a Temperate Forest Using Airborne Hyperspectral Data.
Remote. Sens., 2020
Remote. Sens., 2020
Individual Movement - Sequence Analysis Method (IM-SAM): characterizing spatio-temporal patterns of animal habitat use across landscapes.
Int. J. Geogr. Inf. Sci., 2020
Mapping individual trees with airborne laser scanning data in an European lowland forest using a self-calibration algorithm.
Int. J. Appl. Earth Obs. Geoinformation, 2020
Improving LiDAR-based tree species mapping in Central European mixed forests using multi-temporal digital aerial colour-infrared photographs.
Int. J. Appl. Earth Obs. Geoinformation, 2020
Comparing methods for mapping canopy chlorophyll content in a mixed mountain forest using Sentinel-2 data.
Int. J. Appl. Earth Obs. Geoinformation, 2020
Predicting the Risk of Deer-vehicle Collisions by Inferring Rules Learnt from Deer Experience and Movement Patterns in the Vicinity of Roads.
Proceedings of the 10th International Conference on Advanced Computer Information Technologies, 2020
2019
Comparison of Landsat-8 and Sentinel-2 Data for Estimation of Leaf Area Index in Temperate Forests.
Remote. Sens., 2019
Multi-Scale Remote Sensing-Assisted Forest Inventory: A Glimpse of the State-of-the-Art and Future Prospects.
Remote. Sens., 2019
Canopy Height Estimation from Single Multispectral 2D Airborne Imagery Using Texture Analysis and Machine Learning in Structurally Rich Temperate Forests.
Remote. Sens., 2019
Classification of Tree Species as Well as Standing Dead Trees Using Triple Wavelength ALS in a Temperate Forest.
Remote. Sens., 2019
Sensitivity of Landsat-8 OLI and TIRS Data to Foliar Properties of Early Stage Bark Beetle (<i>Ips typographus</i>, L.) Infestation.
Remote. Sens., 2019
Evaluating the performance of PROSPECT in the retrieval of leaf traits across canopy throughout the growing season.
Int. J. Appl. Earth Obs. Geoinformation, 2019
Mapping leaf chlorophyll content from Sentinel-2 and RapidEye data in spruce stands using the invertible forest reflectance model.
Int. J. Appl. Earth Obs. Geoinformation, 2019
Timing of red-edge and shortwave infrared reflectance critical for early stress detection induced by bark beetle (<i>Ips typographus</i>, L.) attack.
Int. J. Appl. Earth Obs. Geoinformation, 2019
2018
Remotely Sensed Single Tree Data Enable the Determination of Habitat Thresholds for the Three-Toed Woodpecker (<i>Picoides tridactylus</i>).
Remote. Sens., 2018
Understanding Forest Health with Remote Sensing, Part III: Requirements for a Scalable Multi-Source Forest Health Monitoring Network Based on Data Science Approaches.
Remote. Sens., 2018
Tree species classification using plant functional traits from LiDAR and hyperspectral data.
Int. J. Appl. Earth Obs. Geoinformation, 2018
European spruce bark beetle (Ips typographus, L.) green attack affects foliar reflectance and biochemical properties.
Int. J. Appl. Earth Obs. Geoinformation, 2018
Measuring Leaf Angle Distribution Using Terrestrial Laser Scanning in a European Beech Forest.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Understanding Forest Health with Remote Sensing-Part II - A Review of Approaches and Data Models.
Remote. Sens., 2017
Individual-tree- and stand-based development following natural disturbance in a heterogeneously structured forest: A LiDAR-based approach.
Ecol. Informatics, 2017
Canopy foliar nitrogen retrieved from airborne hyperspectral imagery by correcting for canopy structure effects.
Int. J. Appl. Earth Obs. Geoinformation, 2017
Spatially detailed retrievals of spring phenology from single-season high-resolution image time series.
Int. J. Appl. Earth Obs. Geoinformation, 2017
2016
Combining Active and Semisupervised Learning of Remote Sensing Data Within a Renyi Entropy Regularization Framework.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
Remote. Sens., 2016
Remote. Sens., 2016
Understanding Forest Health with Remote Sensing -Part I - A Review of Spectral Traits, Processes and Remote-Sensing Characteristics.
Remote. Sens., 2016
Introducing 'presence' and 'stationarity index' to study partial migration patterns: an application of a spatio-temporal clustering technique.
Int. J. Geogr. Inf. Sci., 2016
Estimation of regeneration coverage in a temperate forest by 3D segmentation using airborne laser scanning data.
Int. J. Appl. Earth Obs. Geoinformation, 2016
Estimating leaf functional traits by inversion of PROSPECT: Assessing leaf dry matter content and specific leaf area in mixed mountainous forest.
Int. J. Appl. Earth Obs. Geoinformation, 2016
2015
Leaf Nitrogen Content Indirectly Estimated by Leaf Traits Derived From the PROSPECT Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
Forest inventories by LiDAR data: A comparison of single tree segmentation and metric-based methods for inventories of a heterogeneous temperate forest.
Int. J. Appl. Earth Obs. Geoinformation, 2015
Active learning approach to detecting standing dead trees from ALS point clouds combined with aerial infrared imagery.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015
2011
Int. J. Geogr. Inf. Sci., 2011