Marco Heurich
Ecology · 2008–2021
A researcher in the Science corpus: 17 papers; trusts 65 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 231 citations into it; #6,430 of 10,717 by trust here, #4,599 by citations
- Nature and Landscape Conservation — 127 citations into it; #2,692 of 6,941 by trust here, #4,164 by citations
- Environmental Engineering — 85 citations into it; #2,242 of 5,479 by trust here, #2,527 by citations
- Insect Science — 65 citations into it; #460 of 2,259 by trust here, #894 by citations
- Ecological Modeling — 61 citations into it
- Ecology, Evolution, Behavior and Systematics — 49 citations into it
- Plant Science — 36 citations into it
- Computer Vision and Pattern Recognition — 25 citations into it
Whom Marco Heurich trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- A. Bobiec
- Tomas Brandtberg
- B. Wermelinger
- J. Reitberger
- Matti Maltamo
- Jianbo Shi
- Kaiming He
- Diederik P. Kingma
- D. Sauvard
- Jitendra Malik
Who trusts Marco Heurich overall
Papers from Marco Heurich's perspective
Ordered by how strongly the researchers Marco Heurich trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Fully convolutional networks for semantic segmentation
- ImageNet Large Scale Visual Recognition Challenge
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors (2021) — 35 citations
- Variation of leaf angle distribution quantified by terrestrial LiDAR in natural European beech forest (2019) — 67 citations
- Sentinel‐2 accurately maps green‐attack stage of European spruce bark beetle (Ips typographus, L.) compared with Landsat‐8 (2018) — 166 citations
- Biodiversity along temperate forest succession (2018) — 292 citations
- Improving leaf area index (LAI) estimation by correcting for clumping and woody effects using terrestrial laser scanning (2018) — 95 citations
- Moving in the Anthropocene: Global reductions in terrestrial mammalian movements (2018) — 1,095 citations
- Important LiDAR metrics for discriminating forest tree species in Central Europe (2018) — 134 citations
- Challenges and science-based implications for modern management and conservation of European ungulate populations (2017) — 121 citations
- Habitat selection by a large herbivore at multiple spatial and temporal scales is primarily governed by food resources (2017) — 100 citations
- Linking earth observation and taxonomic, structural and functional biodiversity: local to ecosystem perspectives (2016) — 172 citations
- Spatio-temporal infestation patterns of Ips typographus (L.) in the Bavarian Forest National Park, Germany (2013) — 106 citations
- Tree species classification and estimation of stem volume and DBH based on single tree extraction by exploiting airborne full-waveform LiDAR data (2012) — 327 citations
- IDENTIFYING STANDING DEAD TREES IN FOREST AREAS BASED ON 3D SINGLE TREE DETECTION FROM FULL WAVEFORM LIDAR DATA (2012) — 48 citations
- Simulation and analysis of outbreaks of bark beetle infestations and their management at the stand level (2011) — 96 citations
- Partial migration in roe deer: migratory and resident tactics are end points of a behavioural gradient determined by ecological factors (2011) — 242 citations
- Using airborne laser scanning to model potential abundance and assemblages of forest passerines. (2009) — 84 citations
- Automatic recognition and measurement of single trees based on data from airborne laser scanning over the richly structured natural forests of the Bavarian Forest National Park (2008) — 132 citations