Estimation of water-infiltration rate in Mediterranean sandy soils using airborne hyperspectral sensors-Reference-Cited by-同舟云学术

Estimation of water-infiltration rate in Mediterranean sandy soils using airborne hyperspectral sensors

Published:2023-12 Issue: Volume:233 Page:107476
ISSN:0341-8162
Container-title:CATENA
language:en
Short-container-title:CATENA

Author:

Francos Nicolas^ORCID,Chabrillat Sabine,Tziolas Nikolaos^ORCID,Milewski Robert^ORCID,Brell Maximilian,Samarinas Nikiforos^ORCID,Angelopoulou Theodora^ORCID,Tsakiridis Nikolaos^ORCID,Liakopoulos Vasillis,Ruhtz Thomas,Ben-Dor Eyal

Funder

Bundesministerium für Wirtschaft und Energie

Ministry of National Infrastructure, Energy and Water Resources

Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ

Universidad Autónoma de Sinaloa

Ministry of Energy, Israel

European Cooperation in Science and Technology

Publisher

Elsevier BV

Subject

Earth-Surface Processes

Reference60 articles.

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4. New generation hyperspectral sensors DESIS and PRISMA provide improved agricultural crop classifications;Aneece;Photogramm. Eng. Remote Sens.,2022

5. ArcGIS for Desktop, 2020. How filter works—help. https://desktop.arcgis.com/en/arcmap/10.3/tools/spatial-analyst-toolbox/how-filter-works.htm (accessed 6 September (2020)).

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