Steven Hill
Steven Hill
Technical Employee
Department of Global Change Ecology
Klara-Oppenheimer-Weg 32
Hubland Nord
Hubland Nord
97074
Würzburg
Germany
Room:
03.B.32
Phone:
0931 31-80864
Email:
steven.hill@uni-wuerzburg.de
![](/fileadmin/07030600/2024/Steven.jpg)
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Application of optical unmanned aerial vehicle-based imagery for the inventory of natural regeneration and standing deadwood in post-disturbed spruce forests. . In International Journal of Remote Sensing. 2018.
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Multi-model estimation of understorey shrub, herb and moss cover in temperate forest stands by laser scanner data. . In Forestry. 2017.
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Individual-tree- and stand-based development following natural disturbance in a heterogeneously structured forest: A LiDAR-based approach. . In Ecological Informatics, 38, pp. 12–25. 2017.
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A New Era of Earth Observation for the Environment: Spatio-Temporal Monitoring Capabilities for Land Degradation. . In Sustainability of Southern African Ecosystems under Global Change: Science for Management and Policy Interventions, pp. 689–728. Springer International Publishing, Cham, 2024.
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A multi-talented datacube: integrating, processing and presenting big geodata for the agricultural end user. . 2024.
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PhenoCube - Unleashing the potential of multi-source satellite data and archives for phenological land monitoring. . In ESA Living Planet Symposium 2019, p. 1. 2019.
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LiDAR-gestützte Erfassung von einzelbaum- und bestandsbasierter Waldentwicklung nach natürlichen Störungsprozessen. . In FowiTa - Forstwirtschaftliche Tagung, p. 123. Freiburg in Breisgau, 2016.
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Tracking Crop Phenology across Different Sentinel-1 Orbits by Combining PolSAR Features with Growing Degree Data. . Remagen, 2024.
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DataCube Architecture for Integrating, Processing and Presenting Big Geodata to End Users. . Berlin, 2024.
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How Does Phenology Shape Crop- And Orbit-Specific InSAR Coherence And PolSAR-Signatures Of Sentinel-1. . 2024.
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Tracking the Phenological Developments of Crops by a Complementary Set of Interferometric and Polarimetric Time Series Derived from Sentinel-1 at the JECAM Site DEMMIN. . Bonn, 2022.
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Assessing the Applicability of Interferometric and Polarimetric Time Series Derived from Sentinel-1 for Tracking Phenological Developments of Crops at the JECAM Site DEMMIN. . Halle (Saale), 2022.