Deep Learning Impact in Forest Monitoring Using TanDEM-X Data

Mazza, Antonio and Scarpa, Giuseppe and Sica, Francescopaolo and Rizzoli, Paola (2019) Deep Learning Impact in Forest Monitoring Using TanDEM-X Data. TanDEM-X Science Meeting, 2019-10-21 - 2019-10-24, Oberpfaffenhofen.

Full text not available from this repository.

Item URL in elib:

https://elib.dlr.de/133449/

Document Type:

Conference or Workshop Item (Poster)

Title:

Deep Learning Impact in Forest Monitoring Using TanDEM-X Data

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Mazza, Antonio	University of Naples Federico II	UNSPECIFIED	UNSPECIFIED
Scarpa, Giuseppe	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Sica, Francescopaolo	UNSPECIFIED	https://orcid.org/0000-0003-1593-1492	UNSPECIFIED
Rizzoli, Paola	UNSPECIFIED	https://orcid.org/0000-0001-9118-2732	UNSPECIFIED

Date:

2019

Refereed publication:

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

Deep Learning, Forest Monitoring, TanDEM-X

Event Title:

TanDEM-X Science Meeting

Event Location:

Oberpfaffenhofen

Event Type:

international Conference

Event Start Date:

21 October 2019

Event End Date:

24 October 2019

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 - Projekt TanDEM-X (old)

Location:

Oberpfaffenhofen

Institutes and Institutions:

Microwaves and Radar Institute

Deposited By:

Sica, Dr. Francescopaolo

Deposited On:

13 Jan 2020 10:28

Last Modified:

24 Apr 2024 20:36

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