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Marco Heurich
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2020 – today
- 2024
- [j41]Abubakar Sani-Mohammed
, Wei Yao, Tsz Chung Wong, Reda Fekry
Characterizing Forest Plot Decay Levels Based on Leaf Area Index, Gap Fraction, and L-Moments from Airborne LiDAR. Remote. Sens. 16(15): 2824 (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
- [d1]Johannes De Groeve
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 - [i3]Tsz Chung Wong, Abubakar Sani-Mohammed
Automatic Classification of Single Tree Decay Stages from Combined ALS Data and Aerial Imagery using Machine Learning. CoRR abs/2301.01841 (2023) - 2022
- [j40]Leonidas Alagialoglou
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
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
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
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
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
Comparative Evaluation of Algorithms for Leaf Area Index Estimation from Digital Hemispherical Photography through Virtual Forests. Remote. Sens. 13(16): 3325 (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
Canopy Height Estimation from Spaceborne Imagery Using Convolutional Encoder-Decoder. MMM (2) 2021: 307-317 - [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) - 2020
- [j34]Yifang Shi
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
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
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
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
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
Evaluating Prediction Models for Mapping Canopy Chlorophyll Content Across Biomes. Remote. Sens. 12(11): 1788 (2020) - [j28]J. Malin Hoeppner, Andrew K. Skidmore
Mapping Canopy Chlorophyll Content in a Temperate Forest Using Airborne Hyperspectral Data. Remote. Sens. 12(21): 3573 (2020) - [j27]Angela Lausch, Michael E. Schaepman
Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity - Part II: Geomorphology, Terrain and Surfaces. Remote. Sens. 12(22): 3690 (2020) - [c3]Christian von Hoermann, Raphaela Pagany, Katrin Kirchner, Wolfgang Dorner
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
2010 – 2019
- 2019
- [j26]Roshanak Darvishzadeh
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
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
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
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
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
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
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
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
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
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
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
Remotely Sensed Single Tree Data Enable the Determination of Habitat Thresholds for the Three-Toed Woodpecker (Picoides tridactylus). Remote. Sens. 10(12): 1972 (2018) - [c2]Jing Liu
Measuring Leaf Angle Distribution Using Terrestrial Laser Scanning in a European Beech Forest. IGARSS 2018: 8977-8980 - 2017
- [j14]Zhihui Wang
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
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
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
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
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
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
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
In Situ/Remote Sensing Integration to Assess Forest Health - A Review. Remote. Sens. 8(6): 471 (2016) - [j6]Zhihui Wang
Vegetation Indices for Mapping Canopy Foliar Nitrogen in a Mixed Temperate Forest. Remote. Sens. 8(6): 491 (2016) - [j5]Angela Lausch
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
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
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
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) - [c1]Przemyslaw Polewski, Wei Yao
Active learning approach to detecting standing dead trees from ALS point clouds combined with aerial infrared imagery. CVPR Workshops 2015: 10-18 - 2011
- [j1]Gennady L. Andrienko
An event-based conceptual model for context-aware movement analysis. Int. J. Geogr. Inf. Sci. 25(9): 1347-1370 (2011)
Coauthor Index
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last updated on 2024-11-19 20:42 CET by the dblp team
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