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AI4GreenSpaces: All-Scale Vegetation Monitoring with Remote Sensing

Albrecht, Conrad M (2023) AI4GreenSpaces: All-Scale Vegetation Monitoring with Remote Sensing. 2023 German-American Frontiers of Engineering Symposium (GAFOE), 22.-25. März 2023, Forschungszentrum Juelich.

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Official URL: https://www.naefrontiers.org/199584/2023-GermanAmerican-Frontiers-of-Engineering-Symposium


Machine learning applied to remote sensing data reveals insights to the state of planet Earth's vegetation. We present three works on local (urban planning for New York City), regional (ancient agriculture detection in the Negev desert), and global (biomass monitoring) level in partnership with US, Israeli, and German collaborators.

Item URL in elib:https://elib.dlr.de/194554/
Document Type:Conference or Workshop Item (Poster)
Title:AI4GreenSpaces: All-Scale Vegetation Monitoring with Remote Sensing
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Albrecht, Conrad MUNSPECIFIEDhttps://orcid.org/0009-0009-2422-7289UNSPECIFIED
Date:23 March 2023
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:urban forests, heat island detection, archeology, ancient agriculture, global biomass estimation, machine learning, deep learning, remote sensing
Event Title:2023 German-American Frontiers of Engineering Symposium (GAFOE)
Event Location:Forschungszentrum Juelich
Event Type:international Conference
Event Dates:22.-25. März 2023
Organizer:National Academy of Engineering, Alexander von Humboldt Foundation
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Artificial Intelligence
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Albrecht, Conrad M
Deposited On:06 Apr 2023 11:03
Last Modified:06 Apr 2023 11:03

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