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A full cloud-native dive into regional-scale seagrass mapping in the Mediterranean using Sentinel-2 multitemporal data

Lee, Chengfa Benjamin (2020) A full cloud-native dive into regional-scale seagrass mapping in the Mediterranean using Sentinel-2 multitemporal data. Geo for Good Summit 2020, 2020-10-20 - 2020-10-21, Virtual.

Full text not available from this repository.


Item URL in elib:https://elib.dlr.de/188089/
Document Type:Conference or Workshop Item (Speech)
Title:A full cloud-native dive into regional-scale seagrass mapping in the Mediterranean using Sentinel-2 multitemporal data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Lee, Chengfa BenjaminChengfa.Lee (at) dlr.dehttps://orcid.org/0000-0002-2207-5615UNSPECIFIED
Date:2020
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Google Earth Engine, Seagrass Mapping, Sentinel-2
Event Title:Geo for Good Summit 2020
Event Location:Virtual
Event Type:Workshop
Event Start Date:20 October 2020
Event End Date:21 October 2020
Organizer:Google Earth Outreach
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 - Optical remote sensing
Location: Berlin-Adlershof
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Lee, Chengfa Benjamin
Deposited On:08 Sep 2022 18:00
Last Modified:19 Mar 2026 10:04

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