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
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How Phenology Shapes Crop-Specific Sentinel-1 PolSAR Features and InSAR Coherence across Multiple Years and Orbits. . In Remote Sensing, 16(15). 2024.
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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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Observational Support for Regional Policy Implementation: Land Surface Change Under Anthropogenic and Climate Pressure in SALDi Study Sites. . In Sustainability of Southern African Ecosystems under Global Change: Science for Management and Policy Interventions, G. P. von Maltitz, G. F. Midgley, J. Veitch, C. Brümmer, R. P. Rötter, F. A. Viehberg, M. Veste (eds.), pp. 845–877. 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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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 Crop Phenology across Different Sentinel-1 Orbits by Combining PolSAR Features with Growing Degree Data. . Remagen, 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.
