Remote Sensing of Soil Moisture for Agricultural Areas using Spatial and Temporal High-Resolution Sentinel-1 SAR Timeseries in Google Earth Engine

Mengen, David and Montzka, C. and Jagdhuber, Thomas and Balenzano, Anna (2022) Remote Sensing of Soil Moisture for Agricultural Areas using Spatial and Temporal High-Resolution Sentinel-1 SAR Timeseries in Google Earth Engine. ESA Living Planet Symposium 2022, 2022-05-23 - 2022-05-27, Bonn, Deutschland.

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Item URL in elib:

https://elib.dlr.de/191235/

Document Type:

Conference or Workshop Item (Speech, Poster)

Title:

Remote Sensing of Soil Moisture for Agricultural Areas using Spatial and Temporal High-Resolution Sentinel-1 SAR Timeseries in Google Earth Engine

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Mengen, David	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Montzka, C.	Forschungszentrum Jülich	UNSPECIFIED	UNSPECIFIED
Jagdhuber, Thomas	UNSPECIFIED	https://orcid.org/0000-0002-1760-2425	UNSPECIFIED
Balenzano, Anna	CNR Italy	UNSPECIFIED	UNSPECIFIED

Date:

May 2022

Refereed publication:

Yes

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

Sentinel-1, SAR, Soil Moisture, agriculture, GEE, High-resolution

Event Title:

ESA Living Planet Symposium 2022

Event Location:

Bonn, Deutschland

Event Type:

international Conference

Event Start Date:

23 May 2022

Event End Date:

27 May 2022

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 - Security-relevant Earth Observation

Location:

Oberpfaffenhofen

Institutes and Institutions:

Microwaves and Radar Institute > Reconnaissance and Security

Deposited By:

Jagdhuber, Dr Thomas

Deposited On:

01 Dec 2022 17:57

Last Modified:

24 Apr 2024 20:52

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