Search Results - "Hank, Tobias"
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Using a Remote Sensing-Supported Hydro-Agroecological Model for Field-Scale Simulation of Heterogeneous Crop Growth and Yield: Application for Wheat in Central Europe
Published in Remote sensing (Basel, Switzerland) (01-04-2015)“…The challenge of converting global agricultural food, fiber and energy crop cultivation into an ecologically and economically sustainable production process…”
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Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions
Published in Remote sensing of environment (01-06-2020)“…Nitrogen (N) is considered as one of the most important plant macronutrients and proper management of N therefore is a pre-requisite for modern agriculture…”
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Fitted PROSAIL Parameterization of Leaf Inclinations, Water Content and Brown Pigment Content for Winter Wheat and Maize Canopies
Published in Remote sensing (Basel, Switzerland) (01-05-2019)“…Decades after release of the first PROSPECT + SAIL (commonly called PROSAIL) versions, the model is still the most famous representative in the field of canopy…”
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Retrieval of aboveground crop nitrogen content with a hybrid machine learning method
Published in International journal of applied earth observation and geoinformation (01-10-2020)“…•PROSPECT-PRO model accounting for proteins is coupled with the 1-D SAIL model.•Gaussian processes (GP) identifies optimal spectral bands for nitrogen (N)…”
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Evaluation of the PROSAIL Model Capabilities for Future Hyperspectral Model Environments: A Review Study
Published in Remote sensing (Basel, Switzerland) (10-01-2018)Get full text
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Physically-Based Retrieval of Canopy Equivalent Water Thickness Using Hyperspectral Data
Published in Remote sensing (Basel, Switzerland) (01-12-2018)“…Quantitative equivalent water thickness on canopy level (EWTcanopy) is an important land surface variable and retrieving EWTcanopy from remote sensing has been…”
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Detection of Solar Photovoltaic Power Plants Using Satellite and Airborne Hyperspectral Imaging
Published in Remote sensing (Basel, Switzerland) (01-07-2023)“…Solar photovoltaic panels (PV) provide great potential to reduce greenhouse gas emissions as a renewable energy technology. The number of solar PV has…”
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Exploring uncertainties in global crop yield projections in a large ensemble of crop models and CMIP5 and CMIP6 climate scenarios
Published in Environmental research letters (01-03-2021)“…Concerns over climate change are motivated in large part because of their impact on human society. Assessing the effect of that uncertainty on specific…”
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Model-Based Optimization of Spectral Sampling for the Retrieval of Crop Variables with the PROSAIL Model
Published in Remote sensing (Basel, Switzerland) (01-12-2018)“…Satellite hyperspectral Earth observation missions have strong potential to support sustainable agriculture by providing accurate spatial and temporal…”
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Large potential for crop production adaptation depends on available future varieties
Published in Global change biology (01-08-2021)“…Climate change affects global agricultural production and threatens food security. Faster phenological development of crops due to climate warming is one of…”
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Spaceborne Imaging Spectroscopy for Sustainable Agriculture: Contributions and Challenges
Published in Surveys in geophysics (01-05-2019)“…Agriculture faces the challenge of providing food, fibre and energy from limited land resources to satisfy the changing needs of a growing world population…”
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A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data
Published in Remote sensing (Basel, Switzerland) (15-01-2021)“…The current exponential increase of spatiotemporally explicit data streams from satellitebased Earth observation missions offers promising opportunities for…”
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Assessing Non-Photosynthetic Cropland Biomass from Spaceborne Hyperspectral Imagery
Published in Remote sensing (Basel, Switzerland) (21-11-2021)“…Non-photosynthetic vegetation (NPV) biomass has been identified as a priority variable for upcoming spaceborne imaging spectroscopy missions, calling for a…”
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A comprehensive survey on quantifying non-photosynthetic vegetation cover and biomass from imaging spectroscopy
Published in Ecological indicators (01-11-2023)“…•We reviewed optical remote sensing literature on non-photosynthetic vegetation (NPV).•NPV can be detected and quantified thanks to narrow absorption features…”
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Retrieval of Seasonal Leaf Area Index from Simulated EnMAP Data through Optimized LUT-Based Inversion of the PROSAIL Model
Published in Remote sensing (Basel, Switzerland) (01-08-2015)“…The upcoming satellite mission EnMAP offers the opportunity to retrieve information on the seasonal development of vegetation parameters on a regional scale…”
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Retrieval of Biophysical Crop Variables from Multi-Angular Canopy Spectroscopy
Published in Remote sensing (Basel, Switzerland) (01-07-2017)“…The future German Environmental Mapping and Analysis Program (EnMAP) mission, due to launch in late 2019, will deliver high resolution hyperspectral data from…”
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The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation
Published in Remote sensing (Basel, Switzerland) (01-07-2015)“…Imaging spectroscopy, also known as hyperspectral remote sensing, is based on the characterization of Earth surface materials and processes through…”
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RTM-based dynamic absorption integrals for the retrieval of biochemical vegetation traits
Published in International journal of applied earth observation and geoinformation (01-12-2020)“…•SIR simultaneously derives crop chlorophyll, carotenoid and water contents.•Absorption feature spaces are automatically detected by convex hull…”
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Agricultural Breadbaskets Shift Poleward Given Adaptive Farmer Behavior Under Climate Change
Published in Global change biology (01-01-2022)“…Modern food production is spatially concentrated in global “breadbaskets”. A major unresolved question is whether these peak production regions will shift…”
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Optimal Exploitation of the Sentinel-2 Spectral Capabilities for Crop Leaf Area Index Mapping
Published in Remote sensing (Basel, Switzerland) (01-03-2012)“…The continuously increasing demand of accurate quantitative high quality information on land surface properties will be faced by a new generation of…”
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