elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

A CNN-based approach for forest parameter regression by fusion of Sentinel-2 and TanDEM-X data

Carcereri, Daniel and Rizzoli, Paola and Ienco, Dino and Bueso Bello, Jose Luis and Gonzalez, Carolina and Bruzzone, Lorenzo (2022) A CNN-based approach for forest parameter regression by fusion of Sentinel-2 and TanDEM-X data. In: ESA Living Planet Symposium 2022. ESA Living Planet Symposium, 2022-05-23 - 2022-05-27, Bonn, Germany.

Full text not available from this repository.


Item URL in elib:https://elib.dlr.de/186248/
Document Type:Conference or Workshop Item (Speech)
Title:A CNN-based approach for forest parameter regression by fusion of Sentinel-2 and TanDEM-X data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Carcereri, DanielUNSPECIFIEDhttps://orcid.org/0000-0002-3956-1409UNSPECIFIED
Rizzoli, PaolaUNSPECIFIEDhttps://orcid.org/0000-0001-9118-2732UNSPECIFIED
Ienco, DinoUNSPECIFIEDhttps://orcid.org/0000-0002-8736-3132UNSPECIFIED
Bueso Bello, Jose LuisUNSPECIFIEDhttps://orcid.org/0000-0003-3464-2186UNSPECIFIED
Gonzalez, CarolinaUNSPECIFIEDhttps://orcid.org/0000-0002-9340-1887UNSPECIFIED
Bruzzone, LorenzoUNSPECIFIEDhttps://orcid.org/0000-0002-6036-459XUNSPECIFIED
Date:2022
Journal or Publication Title:ESA Living Planet Symposium 2022
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:TanDEM-X, Sentinel-2, Above Ground Biomass
Event Title:ESA Living Planet Symposium
Event Location:Bonn, Germany
Event Type:international Conference
Event Dates:2022-05-23 - 2022-05-27
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 - AI4SAR
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute
Microwaves and Radar Institute > Spaceborne SAR Systems
Deposited By: Carcereri, Daniel
Deposited On:02 May 2022 14:56
Last Modified:13 Jan 2023 17:40

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.