An event-based conceptual model for context-aware movement analysis. - Gennady L. Andrienko; Natalia V. Andrienko; Marco Heurich (Int. J. Geogr. Inf. Sci., 2011)

Active learning approach to detecting standing dead trees from ALS point clouds combined with aerial infrared imagery. - Przemyslaw Polewski; Wei Yao 008; Marco Heurich; Peter Krzystek; Uwe Stilla (CVPR Workshops, 2015)

Forest inventories by LiDAR data: A comparison of single tree segmentation and metric-based methods for inventories of a heterogeneous temperate forest. - Hooman Latifi; Fabian Ewald Fassnacht; Jörg Müller 003; Agalya Tharani; Stefan W. Dech; Marco Heurich (Int. J. Appl. Earth Obs. Geoinformation, 2015)

Leaf Nitrogen Content Indirectly Estimated by Leaf Traits Derived From the PROSPECT Model. - Zhihui Wang 007; Andrew K. Skidmore; Roshanak Darvishzadeh; Uta Heiden; Marco Heurich; Tiejun Wang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Estimating leaf functional traits by inversion of PROSPECT: Assessing leaf dry matter content and specific leaf area in mixed mountainous forest. - Abebe Mohammed Ali; Roshanak Darvishzadeh; Andrew K. Skidmore; Iris van Duren; Uta Heiden; Marco Heurich (Int. J. Appl. Earth Obs. Geoinformation, 2016)

Estimation of regeneration coverage in a temperate forest by 3D segmentation using airborne laser scanning data. - Nina Amiri; Wei Yao 008; Marco Heurich; Peter Krzystek; Andrew K. Skidmore (Int. J. Appl. Earth Obs. Geoinformation, 2016)

Introducing 'presence' and 'stationarity index' to study partial migration patterns: an application of a spatio-temporal clustering technique. - Maria Luisa Damiani; Hamza Issa; Giuseppe Fotino; Marco Heurich; Francesca Cagnacci (Int. J. Geogr. Inf. Sci., 2016)

Understanding Forest Health with Remote Sensing -Part I - A Review of Spectral Traits, Processes and Remote-Sensing Characteristics. - Angela Lausch; Stefan Erasmi; Douglas J. King; Paul Magdon; Marco Heurich (Remote. Sens., 2016)

In Situ/Remote Sensing Integration to Assess Forest Health - A Review. - Marion Pause; Christian Schweitzer; Michael Rosenthal; Vanessa Keuck; Jan Bumberger; Peter Dietrich; Marco Heurich; András Jung; Angela Lausch (Remote. Sens., 2016)

Vegetation Indices for Mapping Canopy Foliar Nitrogen in a Mixed Temperate Forest. - Zhihui Wang 007; Tiejun Wang; Roshanak Darvishzadeh; Andrew K. Skidmore; Simon D. Jones; Lola Suárez; William Woodgate; Uta Heiden; Marco Heurich; John W. Hearne (Remote. Sens., 2016)

Combining Active and Semisupervised Learning of Remote Sensing Data Within a Renyi Entropy Regularization Framework. - Przemyslaw Polewski; Wei Yao 008; Marco Heurich; Peter Krzystek; Uwe Stilla (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Spatially detailed retrievals of spring phenology from single-season high-resolution image time series. - Anton Vrieling; Andrew K. Skidmore; Tiejun Wang; Michele Meroni; Bruno J. Ens; Kees Oosterbeek; Brian O'Connor; Roshanak Darvishzadeh; Marco Heurich; Anita Shepherd; Marc Paganini (Int. J. Appl. Earth Obs. Geoinformation, 2017)

Canopy foliar nitrogen retrieved from airborne hyperspectral imagery by correcting for canopy structure effects. - Zhihui Wang 007; Andrew K. Skidmore; Tiejun Wang; Roshanak Darvishzadeh; Uta Heiden; Marco Heurich; Hooman Latifi; John Hearne (Int. J. Appl. Earth Obs. Geoinformation, 2017)

Individual-tree- and stand-based development following natural disturbance in a heterogeneously structured forest: A LiDAR-based approach. - Steven Hill; Hooman Latifi; Marco Heurich; Jörg Müller 003 (Ecol. Informatics, 2017)

Understanding Forest Health with Remote Sensing-Part II - A Review of Approaches and Data Models. - Angela Lausch; Stefan Erasmi; Douglas J. King; Paul Magdon; Marco Heurich (Remote. Sens., 2017)

Measuring Leaf Angle Distribution Using Terrestrial Laser Scanning in a European Beech Forest. - Jing Liu 021; Andrew K. Skidmore; Tiejun Wang; Xi Zhu 003; Joe Premier; Marco Heurich; Burkhard Beudert (IGARSS, 2018)

European spruce bark beetle (Ips typographus, L.) green attack affects foliar reflectance and biochemical properties. - Haidi Abdullah; Roshanak Darvishzadeh; Andrew K. Skidmore; Thomas A. Groen; Marco Heurich (Int. J. Appl. Earth Obs. Geoinformation, 2018)

Tree species classification using plant functional traits from LiDAR and hyperspectral data. - Yifang Shi; Andrew K. Skidmore; Tiejun Wang; Stefanie Holzwarth; Uta Heiden; Nicole Pinnel; Xi Zhu 003; Marco Heurich (Int. J. Appl. Earth Obs. Geoinformation, 2018)

Understanding Forest Health with Remote Sensing, Part III: Requirements for a Scalable Multi-Source Forest Health Monitoring Network Based on Data Science Approaches. - Angela Lausch; Erik Borg; Jan Bumberger; Peter Dietrich; Marco Heurich; Andreas Huth; András Jung; Reinhard Klenke; Sonja Knapp; Hannes Mollenhauer; Hendrik Paasche; Heiko Paulheim; et al. (Remote. Sens., 2018)

Remotely Sensed Single Tree Data Enable the Determination of Habitat Thresholds for the Three-Toed Woodpecker (Picoides tridactylus). - Katarzyna Zielewska-Büttner; Marco Heurich; Jörg Müller 003; Veronika Braunisch (Remote. Sens., 2018)

Timing of red-edge and shortwave infrared reflectance critical for early stress detection induced by bark beetle (Ips typographus, L.) attack. - Haidi Abdullah; Andrew K. Skidmore; Roshanak Darvishzadeh; Marco Heurich (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. - Roshanak Darvishzadeh; Andrew K. Skidmore; Haidi Abdullah; Elias Cherenet; Abebe Mohammed Ali; Tiejun Wang; Willem Nieuwenhuis; Marco Heurich; Anton Vrieling; Brian O'Connor; Marc Paganini (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Evaluating the performance of PROSPECT in the retrieval of leaf traits across canopy throughout the growing season. - Tawanda W. Gara; Roshanak Darvishzadeh; Andrew K. Skidmore; Tiejun Wang; Marco Heurich (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Sensitivity of Landsat-8 OLI and TIRS Data to Foliar Properties of Early Stage Bark Beetle (Ips typographus, L.) Infestation. - Haidi Abdullah; Roshanak Darvishzadeh; Andrew K. Skidmore; Marco Heurich (Remote. Sens., 2019)

Classification of Tree Species as Well as Standing Dead Trees Using Triple Wavelength ALS in a Temperate Forest. - Nina Amiri; Peter Krzystek; Marco Heurich; Andrew K. Skidmore (Remote. Sens., 2019)

Canopy Height Estimation from Single Multispectral 2D Airborne Imagery Using Texture Analysis and Machine Learning in Structurally Rich Temperate Forests. - Christos Boutsoukis; Ioannis Manakos; Marco Heurich; Anastasios Delopoulos (Remote. Sens., 2019)

Multi-Scale Remote Sensing-Assisted Forest Inventory: A Glimpse of the State-of-the-Art and Future Prospects. - Hooman Latifi; Marco Heurich (Remote. Sens., 2019)

Comparison of Landsat-8 and Sentinel-2 Data for Estimation of Leaf Area Index in Temperate Forests. - Lorenz Hans Meyer; Marco Heurich; Burkhard Beudert; Joe Premier; Dirk Pflugmacher (Remote. Sens., 2019)

Predicting the Risk of Deer-vehicle Collisions by Inferring Rules Learnt from Deer Experience and Movement Patterns in the Vicinity of Roads. - Christian von Hoermann; Raphaela Pagany; Katrin Kirchner; Wolfgang Dorner; Marco Heurich; Ilse Storch (ACIT, 2020)

Comparing methods for mapping canopy chlorophyll content in a mixed mountain forest using Sentinel-2 data. - Abebe Mohammed Ali; Roshanak Darvishzadeh; Andrew K. Skidmore; Tawanda W. Gara; Brian O'Connor; Claudia Roeoesli; Marco Heurich; Marc Paganini (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. - Yifang Shi; Tiejun Wang; Andrew K. Skidmore; Marco Heurich (Int. J. Appl. Earth Obs. Geoinformation, 2020)

Mapping individual trees with airborne laser scanning data in an European lowland forest using a self-calibration algorithm. - Krzysztof Sterenczak; Bartlomiej Kraszewski; Milosz Mielcarek; Zaneta Piasecka; Maciej Lisiewicz; Marco Heurich (Int. J. Appl. Earth Obs. Geoinformation, 2020)

Individual Movement - Sequence Analysis Method (IM-SAM): characterizing spatio-temporal patterns of animal habitat use across landscapes. - Johannes De Groeve; Francesca Cagnacci; Nathan Ranc; Nadège C. Bonnot; Benedikt Gehr; Marco Heurich; A. J. Mark Hewison; Max Kroeschel; John D. C. Linnell; Nicolas Morellet; Atle Mysterud; Robin Sandfort; et al. (Int. J. Geogr. Inf. Sci., 2020)

Evaluating Prediction Models for Mapping Canopy Chlorophyll Content Across Biomes. - Abebe Mohammed Ali; Roshanak Darvishzadeh; Andrew K. Skidmore; Marco Heurich; Marc Paganini; Uta Heiden; Sander Mücher (Remote. Sens., 2020)

Mapping Canopy Chlorophyll Content in a Temperate Forest Using Airborne Hyperspectral Data. - J. Malin Hoeppner; Andrew K. Skidmore; Roshanak Darvishzadeh; Marco Heurich; Hsing-Chung Chang; Tawanda W. Gara (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. - Peter Krzystek; Alla Serebryanyk; Claudius Schnörr; Jaroslav Cervenka; Marco Heurich (Remote. Sens., 2020)

Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity - Part II: Geomorphology, Terrain and Surfaces. - Angela Lausch; Michael E. Schaepman; Andrew K. Skidmore; Sina C. Truckenbrodt; Jörg M. Hacker; Jussi Baade; Lutz Bannehr; Erik Borg; Jan Bumberger; Peter Dietrich; Cornelia Gläßer; Dagmar Haase; et al. (Remote. Sens., 2020)

Minimizing the Annotation Effort for Detecting Wildlife in Camera Trap Images with Active Learning. - Daphne Auer; Paul Bodesheim; Christian Fiderer; Marco Heurich; Joachim Denzler (GI-Jahrestagung, 2021)

Canopy Height Estimation from Spaceborne Imagery Using Convolutional Encoder-Decoder. - Leonidas Alagialoglou; Ioannis Manakos; Marco Heurich; Jaroslav Cervenka; Anastasios Delopoulos (MMM (2), 2021)

Mapping individual silver fir trees using hyperspectral and LiDAR data in a Central European mixed forest. - Yifang Shi; Tiejun Wang; Andrew K. Skidmore; Stefanie Holzwarth; Uta Heiden; Marco Heurich (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. - Rui Xie; Roshanak Darvishzadeh; Andrew K. Skidmore; Marco Heurich; Stefanie Holzwarth; Tawanda W. Gara; Ils Reusen (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Estimating fine-scale visibility in a temperate forest landscape using airborne laser scanning. - Xin Zong; Tiejun Wang; Andrew K. Skidmore; Marco Heurich (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors. - Przemyslaw Polewski; Jacquelyn Shelton; Wei Yao 008; Marco Heurich (CoRR, 2021)

A hybrid convolutional neural network/active contour approach to segmenting dead trees in aerial imagery. - Jacquelyn A. Shelton; Przemyslaw Polewski; Wei Yao 008; Marco Heurich (CoRR, 2021)

Machine learning methods' performance in radiative transfer model inversion to retrieve plant traits from Sentinel-2 data of a mixed mountain forest. - Abebe Mohammed Ali; Roshanak Darvishzadeh; Andrew K. Skidmore; Tawanda W. Gara; Marco Heurich (Int. J. Digit. Earth, 2021)

Comparative Evaluation of Algorithms for Leaf Area Index Estimation from Digital Hemispherical Photography through Virtual Forests. - Jing Liu 021; Longhui Li; Markku Åkerblom; Tiejun Wang; Andrew K. Skidmore; Xi Zhu 003; Marco Heurich (Remote. Sens., 2021)

A Learnable Model With Calibrated Uncertainty Quantification for Estimating Canopy Height From Spaceborne Sequential Imagery. - Leonidas Alagialoglou; Ioannis Manakos; Marco Heurich; Jaroslav Cervenka; Anastasios Delopoulos (IEEE Trans. Geosci. Remote. Sens., 2022)

Automatic Classification of Single Tree Decay Stages from Combined ALS Data and Aerial Imagery using Machine Learning. - Tsz Chung Wong; Abubakar Sani-Mohammed; Wei Yao 008; Marco Heurich (CoRR, 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. - Johannes De Groeve; Marco Salvatori; Emiel van Loon; Bernard De Baets; Nicolas Morellet; Stefano Focardi; Nadège C. Bonnot; Benedikt Gehr; Matteo Griggio; Marco Heurich; Max Kroeschel; Alain Licoppe; et al. (Zenodo, 2023)

Segmenting objects with Bayesian fusion of active contour models and convnet priors. - Przemyslaw Polewski; Jacquelyn Shelton; Wei Yao 008; Marco Heurich (CoRR, 2024)

Characterizing Forest Plot Decay Levels Based on Leaf Area Index, Gap Fraction, and L-Moments from Airborne LiDAR. - Abubakar Sani-Mohammed; Wei Yao 008; Tsz Chung Wong; Reda Fekry; Marco Heurich (Remote. Sens., 2024)

Classification of single tree decay stages from combined airborne LiDAR data and CIR imagery. - Tsz Chung Wong; Abubakar Sani-Mohammed; Jinhong Wang; Puzuo Wang; Wei Yao 008; Marco Heurich (Geo spatial Inf. Sci., 2024)

A simple oriented search and clustering method for extracting individual forest trees from ALS point clouds. - Wenhui Ding; Rong Huang 001; Wei Yao 008; Wuming Zhang; Marco Heurich; Xiaohua Tong (Ecol. Informatics, 2025)

CNN-Based Flank Predictor for Quadruped Animal Species. - Vanessa Suessle; Marco Heurich; Colleen T. Downs; Andreas Weinmann; Elke Hergenröther (IET Comput. Vis., 2025)