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Journal Articles
- 2024
[j41]Abubakar Sani-Mohammed
, Wei Yao, Tsz Chung Wong, Reda Fekry, Marco Heurich:
Characterizing Forest Plot Decay Levels Based on Leaf Area Index, Gap Fraction, and L-Moments from Airborne LiDAR. Remote. Sens. 16(15): 2824 (2024)- 2022
- [j40]Leonidas Alagialoglou, Ioannis Manakos, Marco Heurich, Jaroslav Cervenka, Anastasios Delopoulos:
A Learnable Model With Calibrated Uncertainty Quantification for Estimating Canopy Height From Spaceborne Sequential Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - 2021
- [j39]Rui Xie, Roshanak Darvishzadeh, Andrew K. Skidmore, Marco Heurich, Stefanie Holzwarth, Tawanda W. Gara, Ils Reusen:
Mapping leaf area index in a mixed temperate forest using Fenix airborne hyperspectral data and Gaussian processes regression. Int. J. Appl. Earth Obs. Geoinformation 95: 102242 (2021) - [j38]Yifang Shi, Tiejun Wang, Andrew K. Skidmore, Stefanie Holzwarth, Uta Heiden, Marco Heurich:
Mapping individual silver fir trees using hyperspectral and LiDAR data in a Central European mixed forest. Int. J. Appl. Earth Obs. Geoinformation 98: 102311 (2021) - [j37]Xin Zong, Tiejun Wang, Andrew K. Skidmore, Marco Heurich:
Estimating fine-scale visibility in a temperate forest landscape using airborne laser scanning. Int. J. Appl. Earth Obs. Geoinformation 103: 102478 (2021) - [j36]Abebe Mohammed Ali, Roshanak Darvishzadeh, Andrew K. Skidmore, Tawanda W. Gara, Marco Heurich:
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 14(1): 106-120 (2021) - [j35]Jing Liu, Longhui Li, Markku Åkerblom, Tiejun Wang, Andrew K. Skidmore, Xi Zhu, Marco Heurich:
Comparative Evaluation of Algorithms for Leaf Area Index Estimation from Digital Hemispherical Photography through Virtual Forests. Remote. Sens. 13(16): 3325 (2021) - 2020
- [j34]Yifang Shi, Tiejun Wang, Andrew K. Skidmore, Marco Heurich:
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 84 (2020) - [j33]Abebe Mohammed Ali, Roshanak Darvishzadeh, Andrew K. Skidmore, Tawanda W. Gara, Brian O'Connor, Claudia Roeoesli, Marco Heurich, Marc Paganini:
Comparing methods for mapping canopy chlorophyll content in a mixed mountain forest using Sentinel-2 data. Int. J. Appl. Earth Obs. Geoinformation 87: 102037 (2020) - [j32]Krzysztof Sterenczak, Bartlomiej Kraszewski, Milosz Mielcarek, Zaneta Piasecka, Maciej Lisiewicz, Marco Heurich:
Mapping individual trees with airborne laser scanning data in an European lowland forest using a self-calibration algorithm. Int. J. Appl. Earth Obs. Geoinformation 93: 102191 (2020) - [j31]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, Nico Van de Weghe:
Individual Movement - Sequence Analysis Method (IM-SAM): characterizing spatio-temporal patterns of animal habitat use across landscapes. Int. J. Geogr. Inf. Sci. 34(8): 1530-1551 (2020) - [j30]Peter Krzystek, Alla Serebryanyk, Claudius Schnörr, Jaroslav Cervenka, Marco Heurich:
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. 12(4): 661 (2020) - [j29]Abebe Mohammed Ali, Roshanak Darvishzadeh, Andrew K. Skidmore, Marco Heurich, Marc Paganini, Uta Heiden, Sander Mücher:
Evaluating Prediction Models for Mapping Canopy Chlorophyll Content Across Biomes. Remote. Sens. 12(11): 1788 (2020) - [j28]J. Malin Hoeppner, Andrew K. Skidmore, Roshanak Darvishzadeh, Marco Heurich, Hsing-Chung Chang, Tawanda W. Gara:
Mapping Canopy Chlorophyll Content in a Temperate Forest Using Airborne Hyperspectral Data. Remote. Sens. 12(21): 3573 (2020) - [j27]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, Marco Heurich, Thomas Jagdhuber, Sven Jany, Rudolf Krönert, Markus Möller, Hannes Mollenhauer, Carsten Montzka, Marion Pause, Christian Rogaß, Nesrin Salepci, Christiane Schmullius, Franziska Schrodt, Claudia Schütze, Christian Schweitzer, Peter Selsam, Daniel Spengler, Michael Vohland, Martin Volk, Ute Weber, Thilo Wellmann, Ulrike Werban, Steffen Zacharias, Christian Thiel:
Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity - Part II: Geomorphology, Terrain and Surfaces. Remote. Sens. 12(22): 3690 (2020) - 2019
- [j26]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:
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 79: 58-70 (2019) - [j25]Haidi Abdullah, Andrew K. Skidmore, Roshanak Darvishzadeh, Marco Heurich:
Timing of red-edge and shortwave infrared reflectance critical for early stress detection induced by bark beetle (Ips typographus, L.) attack. Int. J. Appl. Earth Obs. Geoinformation 82 (2019) - [j24]Tawanda W. Gara, Roshanak Darvishzadeh, Andrew K. Skidmore, Tiejun Wang, Marco Heurich:
Evaluating the performance of PROSPECT in the retrieval of leaf traits across canopy throughout the growing season. Int. J. Appl. Earth Obs. Geoinformation 83 (2019) - [j23]Haidi Abdullah, Roshanak Darvishzadeh, Andrew K. Skidmore, Marco Heurich:
Sensitivity of Landsat-8 OLI and TIRS Data to Foliar Properties of Early Stage Bark Beetle (Ips typographus, L.) Infestation. Remote. Sens. 11(4): 398 (2019) - [j22]Lorenz Hans Meyer, Marco Heurich, Burkhard Beudert, Joe Premier, Dirk Pflugmacher:
Comparison of Landsat-8 and Sentinel-2 Data for Estimation of Leaf Area Index in Temperate Forests. Remote. Sens. 11(10): 1160 (2019) - [j21]Hooman Latifi, Marco Heurich:
Multi-Scale Remote Sensing-Assisted Forest Inventory: A Glimpse of the State-of-the-Art and Future Prospects. Remote. Sens. 11(11): 1260 (2019) - [j20]Nina Amiri, Peter Krzystek, Marco Heurich, Andrew K. Skidmore:
Classification of Tree Species as Well as Standing Dead Trees Using Triple Wavelength ALS in a Temperate Forest. Remote. Sens. 11(22): 2614 (2019) - [j19]Christos Boutsoukis, Ioannis Manakos, Marco Heurich, Anastasios Delopoulos:
Canopy Height Estimation from Single Multispectral 2D Airborne Imagery Using Texture Analysis and Machine Learning in Structurally Rich Temperate Forests. Remote. Sens. 11(23): 2853 (2019) - 2018
- [j18]Haidi Abdullah, Roshanak Darvishzadeh, Andrew K. Skidmore, Thomas A. Groen, Marco Heurich:
European spruce bark beetle (Ips typographus, L.) green attack affects foliar reflectance and biochemical properties. Int. J. Appl. Earth Obs. Geoinformation 64: 199-209 (2018) - [j17]Yifang Shi, Andrew K. Skidmore, Tiejun Wang, Stefanie Holzwarth, Uta Heiden, Nicole Pinnel, Xi Zhu, Marco Heurich:
Tree species classification using plant functional traits from LiDAR and hyperspectral data. Int. J. Appl. Earth Obs. Geoinformation 73: 207-219 (2018) - [j16]Angela Lausch, Erik Borg, Jan Bumberger, Peter Dietrich, Marco Heurich, Andreas Huth, András Jung, Reinhard Klenke, Sonja Knapp, Hannes Mollenhauer, Hendrik Paasche, Heiko Paulheim, Marion Pause, Christian Schweitzer, Christiane Schmullius, Josef Settele, Andrew K. Skidmore, Martin Wegmann, Steffen Zacharias, Toralf Kirsten, Michael E. Schaepman:
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. 10(7): 1120 (2018) - [j15]Katarzyna Zielewska-Büttner, Marco Heurich, Jörg Müller, Veronika Braunisch:
Remotely Sensed Single Tree Data Enable the Determination of Habitat Thresholds for the Three-Toed Woodpecker (Picoides tridactylus). Remote. Sens. 10(12): 1972 (2018) - 2017
- [j14]Zhihui Wang, Andrew K. Skidmore, Tiejun Wang, Roshanak Darvishzadeh, Uta Heiden, Marco Heurich, Hooman Latifi, John Hearne:
Canopy foliar nitrogen retrieved from airborne hyperspectral imagery by correcting for canopy structure effects. Int. J. Appl. Earth Obs. Geoinformation 54: 84-94 (2017) - [j13]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:
Spatially detailed retrievals of spring phenology from single-season high-resolution image time series. Int. J. Appl. Earth Obs. Geoinformation 59: 19-30 (2017) - [j12]Steven Hill, Hooman Latifi, Marco Heurich, Jörg Müller:
Individual-tree- and stand-based development following natural disturbance in a heterogeneously structured forest: A LiDAR-based approach. Ecol. Informatics 38: 12-25 (2017) - [j11]Angela Lausch, Stefan Erasmi, Douglas J. King, Paul Magdon, Marco Heurich:
Understanding Forest Health with Remote Sensing-Part II - A Review of Approaches and Data Models. Remote. Sens. 9(2): 129 (2017) - 2016
- [j10]Abebe Mohammed Ali, Roshanak Darvishzadeh, Andrew K. Skidmore, Iris van Duren, Uta Heiden, Marco Heurich:
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 45: 66-76 (2016) - [j9]Nina Amiri, Wei Yao, Marco Heurich, Peter Krzystek, Andrew K. Skidmore:
Estimation of regeneration coverage in a temperate forest by 3D segmentation using airborne laser scanning data. Int. J. Appl. Earth Obs. Geoinformation 52: 252-262 (2016) - [j8]Maria Luisa Damiani, Hamza Issa, Giuseppe Fotino, Marco Heurich, Francesca Cagnacci:
Introducing 'presence' and 'stationarity index' to study partial migration patterns: an application of a spatio-temporal clustering technique. Int. J. Geogr. Inf. Sci. 30(5): 907-928 (2016) - [j7]Marion Pause, Christian Schweitzer, Michael Rosenthal, Vanessa Keuck, Jan Bumberger, Peter Dietrich, Marco Heurich, András Jung, Angela Lausch:
In Situ/Remote Sensing Integration to Assess Forest Health - A Review. Remote. Sens. 8(6): 471 (2016) - [j6]Zhihui Wang, Tiejun Wang, Roshanak Darvishzadeh, Andrew K. Skidmore, Simon D. Jones, Lola Suárez, William Woodgate, Uta Heiden, Marco Heurich, John W. Hearne:
Vegetation Indices for Mapping Canopy Foliar Nitrogen in a Mixed Temperate Forest. Remote. Sens. 8(6): 491 (2016) - [j5]Angela Lausch, Stefan Erasmi, Douglas J. King, Paul Magdon, Marco Heurich:
Understanding Forest Health with Remote Sensing -Part I - A Review of Spectral Traits, Processes and Remote-Sensing Characteristics. Remote. Sens. 8(12): 1029 (2016) - [j4]Przemyslaw Polewski, Wei Yao, Marco Heurich, Peter Krzystek, Uwe Stilla:
Combining Active and Semisupervised Learning of Remote Sensing Data Within a Renyi Entropy Regularization Framework. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(7): 2910-2922 (2016) - 2015
- [j3]Hooman Latifi, Fabian Ewald Fassnacht, Jörg Müller, Agalya Tharani, Stefan W. Dech, Marco Heurich:
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 42: 162-174 (2015) - [j2]Zhihui Wang, Andrew K. Skidmore, Roshanak Darvishzadeh, Uta Heiden, Marco Heurich, Tiejun Wang:
Leaf Nitrogen Content Indirectly Estimated by Leaf Traits Derived From the PROSPECT Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 3172-3182 (2015) - 2011
- [j1]Gennady L. Andrienko, Natalia V. Andrienko, Marco Heurich:
An event-based conceptual model for context-aware movement analysis. Int. J. Geogr. Inf. Sci. 25(9): 1347-1370 (2011)
Conference and Workshop Papers
- 2021
- [c5]Daphne Auer, Paul Bodesheim, Christian Fiderer, Marco Heurich, Joachim Denzler:
Minimizing the Annotation Effort for Detecting Wildlife in Camera Trap Images with Active Learning. GI-Jahrestagung 2021: 547-564 - [c4]Leonidas Alagialoglou, Ioannis Manakos, Marco Heurich, Jaroslav Cervenka, Anastasios Delopoulos:
Canopy Height Estimation from Spaceborne Imagery Using Convolutional Encoder-Decoder. MMM (2) 2021: 307-317 - 2020
- [c3]Christian von Hoermann, Raphaela Pagany, Katrin Kirchner, Wolfgang Dorner, Marco Heurich, Ilse Storch:
Predicting the Risk of Deer-vehicle Collisions by Inferring Rules Learnt from Deer Experience and Movement Patterns in the Vicinity of Roads. ACIT 2020: 368-373 - 2018
- [c2]Jing Liu, Andrew K. Skidmore, Tiejun Wang, Xi Zhu, Joe Premier, Marco Heurich, Burkhard Beudert:
Measuring Leaf Angle Distribution Using Terrestrial Laser Scanning in a European Beech Forest. IGARSS 2018: 8977-8980 - 2015
- [c1]Przemyslaw Polewski, Wei Yao, Marco Heurich, Peter Krzystek, Uwe Stilla:
Active learning approach to detecting standing dead trees from ALS point clouds combined with aerial infrared imagery. CVPR Workshops 2015: 10-18
Data and Artifacts
- 2023
- [d1]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, Paul Moorcroft, Luca Pedrotti, Johannes Signer, Nico Van de Weghe, Francesca Cagnacci:
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. Zenodo, 2023
Informal and Other Publications
- 2024
- [i5]Vanessa Suessle, Marco Heurich, Colleen T. Downs, Andreas Weinmann, Elke Hergenröther:
CNN Based Flank Predictor for Quadruped Animal Species. CoRR abs/2406.13588 (2024) - [i4]Przemyslaw Polewski, Jacquelyn Shelton, Wei Yao, Marco Heurich:
Segmenting objects with Bayesian fusion of active contour models and convnet priors. CoRR abs/2410.07421 (2024) - 2023
- [i3]Tsz Chung Wong, Abubakar Sani-Mohammed, Wei Yao, Marco Heurich:
Automatic Classification of Single Tree Decay Stages from Combined ALS Data and Aerial Imagery using Machine Learning. CoRR abs/2301.01841 (2023) - 2021
- [i2]Przemyslaw Polewski, Jacquelyn Shelton, Wei Yao, Marco Heurich:
Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors. CoRR abs/2105.01998 (2021) - [i1]Jacquelyn A. Shelton, Przemyslaw Polewski, Wei Yao, Marco Heurich:
A hybrid convolutional neural network/active contour approach to segmenting dead trees in aerial imagery. CoRR abs/2112.02725 (2021)
Coauthor Index
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last updated on 2024-11-19 21:41 CET by the dblp team
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