A. Schmidt

ETH Zurich — Switzerland

Environmental Science · Physical Sciences

15h-index951citations49works0.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Remote Sensing and LiDAR Applications(17), Remote Sensing in Agriculture(7), Nitrogen and Sulfur Effects on Brassica(7), Automated Road and Building Extraction(5), Photosynthetic Processes and Mechanisms(4)

Publications49 total

A food tax only minimally reduces the N surplus of Swiss agriculture
Agricultural Systems·2021· 5 citedOpen Access
Reduction of nitrogen pollution in agriculture through nitrogen surplus quotas: an analysis of individual marginal abatement cost and different quota allocation schemes using an agent-based model
Journal of Environmental Planning and Management·2020· 10 citedOpen Access
Stricter cross-compliance standards in Switzerland: Economic and environmental impacts at farm- and sector-level
Agricultural Systems·2019· 27 cited
Co-designing a data platform to impact nature policy and management: experiences from the Dutch Caribbean
Environmental Science & Policy·2019· 5 citedOpen Access
VERSCHÄRFUNG DER CROSS-COMPLIANCE-ANFORDERUNGEN IN DER SCHWEIZ IM BEREICH PESTIZIDEINSATZ UND FUTTERMITTEL: WAS SIND DIE AUSWIRKUNGEN?
AgEcon Search (University of Minnesota, USA)·2018Open Access
Forest point processes for the automatic extraction of networks in raster data
ISPRS Journal of Photogrammetry and Remote Sensing·2017· 21 citedOpen Access
Direct and Indirect Economic Incentives to Mitigate Nitrogen Surpluses: A Sensitivity Analysis
Journal of Artificial Societies and Social Simulation·2017· 13 citedOpen Access
Integration of TerraSAR-X, RapidEye and airborne lidar for remote sensing of intertidal bedforms on the upper flats of Norderney (German Wadden Sea)
Geo-Marine Letters·2016· 11 cited
NETWORK DETECTION IN RASTER DATA USING MARKED POINT PROCESSES
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences·2016· 3 citedOpen Access
NETWORK DETECTION IN RASTER DATA USING MARKED POINT PROCESSES
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences·2016· 3 citedOpen Access
DETECTING LINEAR FEATURES BY SPATIAL POINT PROCESSES
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences·2016· 1 citedOpen Access
DETECTING LINEAR FEATURES BY SPATIAL POINT PROCESSES
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences·2016· 1 citedOpen Access
The EU societal awareness of landscape indicator: A review of its meaning, utility and performance across different scales
Land Use Policy·2016· 17 citedOpen Access
A GRAPH BASED MODEL FOR THE DETECTION OF TIDAL CHANNELS USING MARKED POINT PROCESSES
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences·2015· 5 citedOpen Access
CONTEXTUAL CLASSIFICATION OF POINT CLOUD DATA BY EXPLOITING INDIVIDUAL 3D NEIGBOURHOODS
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences·2015· 112 citedOpen Access
Extraction of fluvial networks in lidar data using marked point processes
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences·2014· 2 citedOpen Access
Wissenschaftliche Konzepte für ein Monitoring des ökologischen Zustands des deutschen Küstenmeeres
Wasser und Abfall·2014· 11 cited
Contextual Classification of Full Waveform Lidar Data in the Wadden Sea
IEEE Geoscience and Remote Sensing Letters·2014· 48 cited
Contextual classification of full waveform lidar data in the Wadden Sea
Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut)·2014Open Access
Monitoring and change detection of Wadden Sea areas using Lidar data
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences·2013· 2 citedOpen Access
page 1 of 3Next →

Frequent Co-authors

Franz Rottensteiner(12), Uwe Soergel(10), Christian Heipke(9), Gabriele Mack(5), Jutta Papenbrock(4), Anke Möhring(3), Stefan Mann(3), Uwe Sörgel(3), Johan Six(3), Winny Adolph(3), Manfred Ehlers(3), H. Reinert(3), H. Venner(3), Joachim Niemeyer(2), Philip Jones(2), Erling Andersen(2), Claudia Capitani(2), Sónia Maria Carvalho Ribeiro(2), Geoffrey Griffiths(2), Isabel Loupa Ramos(2)