Andreas Bolten
Geology · 2014–2015
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Geology — 12 citations into it; #677 of 687 by trust here, #245 by citations
- Aerospace Engineering — 9 citations into it
Whom Andreas Bolten trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Andreas Bolten overall
Papers from Andreas Bolten's perspective
Ordered by how strongly the researchers Andreas Bolten trusts endorse each paper. Same corpus, a different order for every researcher.
- Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle (IEEE Transactions on Geoscience and Remote Sensing)
- Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo-reconstruction methods
- Direct Georeferencing of Ultrahigh-Resolution UAV Imagery (IEEE Transactions on Geoscience and Remote Sensing)
- Three decades of hyperspectral remote sensing of the Earth: a personal view.
- Diagnosis tool for plant and crop N status in vegetative stage Theory and practices for crop N management
- Solutions for a cultivated planet (Nature)
- Unmanned aerial systems for photogrammetry and remote sensing: A review
- A visible band index for remote sensing leaf chlorophyll content at the canopy scale (International Journal of Applied Earth Observation and Geoinformation)
- Evaluating hyperspectral vegetation indices for estimating nitrogen concentration of winter wheat at different growth stages (Precision Agriculture)
- The leaf angle distribution of natural plant populations: assessing the canopy with a novel software tool
Their papers
- Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley (2015) — 1,170 citations
- Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance (2015) — 444 citations
- Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging (2014) — 630 citations