Georg Bareth
Ecology · 2008–2015
A researcher in the Science corpus: 8 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 84 citations into it; #7,860 of 10,717 by trust here, #1,614 by citations
- Plant Science — 77 citations into it
- Geology — 12 citations into it; #676 of 687 by trust here, #245 by citations
- Agronomy and Crop Science — 11 citations into it
- Aerospace Engineering — 9 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Georg Bareth trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Geert J. Verhoeven (in Geology)
- Marie Hélène Jeuffroy (in Plant Science)
- G. Lemaire (in Plant Science)
- F. Gastal (in Plant Science)
- Pablo J. Zarco-Tejada (in Ecology)
Who trusts Georg Bareth
- Lukas Roth (in Ecology)
- Helge Aasen (in Ecology)
Papers from Georg Bareth's perspective
Ordered by how strongly the researchers Georg Bareth trusts endorse each paper. Same corpus, a different order for every researcher.
- Towards universal broad leaf chlorophyll indices using PROSPECT simulated database and hyperspectral reflectance measurements
- 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
- Diagnosis tool for plant and crop N status in vegetative stage Theory and practices for crop N management
- Three decades of hyperspectral remote sensing of the Earth: a personal view.
- Reducing environmental risk by improving N management in intensive Chinese agricultural systems (Proceedings of the National Academy of Sciences of the United States of America)
- Direct Georeferencing of Ultrahigh-Resolution UAV Imagery (IEEE Transactions on Geoscience and Remote Sensing)
- Remote Estimation of Crop Chlorophyll Content Using Spectral Indices Derived From Hyperspectral Data (IEEE Transactions on Geoscience and Remote Sensing)
- Solutions for a cultivated planet (Nature)
- Synchronizing N Supply from Soil and Fertilizer and N Demand of Winter Wheat by an Improved Nmin Method (Nutrient Cycling in Agroecosystems)
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
- Hyperspectral canopy sensing of paddy rice aboveground biomass at different growth stages (2014) — 253 citations
- Estimating leaf chlorophyll of barley at different growth stages using spectral indices to reduce soil background and canopy structure effects (2014) — 141 citations
- Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging (2014) — 630 citations
- Remotely detecting canopy nitrogen concentration and uptake of paddy rice in the Northeast China Plain (2013) — 142 citations
- Evaluating hyperspectral vegetation indices for estimating nitrogen concentration of winter wheat at different growth stages (2010) — 188 citations
- Estimating N status of winter wheat using a handheld spectrometer in the North China Plain (2008) — 123 citations