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Active/Passive Microwave Remote Sensing in Application to ”Vegetation & Soil” and “Snow & Soil” (MicroVegSnow)

Applicant Schwank Mike
Number 156111
Funding scheme Project funding (Div. I-III)
Research institution Swiss Federal Research Inst. WSL Direktion
Institution of higher education Swiss Federal Institute for Forest, Snow and Landscape Research - WSL
Main discipline Geophysics
Start/End 01.05.2015 - 30.04.2019
Approved amount 245'470.00
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All Disciplines (3)

Discipline
Geophysics
Other disciplines of Physics
Other disciplines of Earth Sciences

Keywords (14)

Methodenentwicklung; Validierung; Mikrowellen-Fernerkundung; Radar; Radiometrie; Schnee; Vegetation; Boden; Strahlungstransport; Schneedichte; Bodenpermittivität; Bodenfeuchte; Vegetationsdichte; Vegetationsstruktur

Lay Summary (German)

Lead
Beobachtungen der Erdoberfläche aus dem All dienen dem Verständnis des Erdsystems. Dazu bauen Raumfahrt-Organisationen Satelliten, und wir tragen mit diesem Projekt zur Entwicklung von Methoden bei die es erlauben Zustände der Erdoberfläche aus Mikrowellen-Fernerkundungsdaten zu gewinnen. Das Projekt erfolgt in Kooperation zwischen der Eidgenössischen Forschungsanstalt für Wald, Schnee und Landschaft (WSL) und dem Forschungszentrum Jülich (FZJ).
Lay summary

Inhalte und Ziele des Forschungsprojekts:

Basierend auf Modellierung und kontrollierten, bodengestützten Fernerkundungs-Experimenten untersucht das WSL Zusammenhänge zwischen Schnee- und Bodeneigenschaften und Mikrowellen-Signaturen. Die dazu beobachteten Flächen werden künstlich präpariert um Einflüsse des Schnees unterschiedlicher Dichte von Einflüssen des Bodens unterschiedlicher Permittivität auf die Mikrowellen Daten voneinander abgrenzen zu können. Die Fernerkundungsdaten werden von einem Turm aus mit einem Radar und einem Radiometer gemessen. Entsprechende Experimente und Modellentwicklungen zur Gewinnung von Vegetationseigenschaften (z.B. Wassergehalt, Struktur) und Bodenzuständen (z.B. Feuchte) aus Mikrowellen-Fernerkundung werden am FZJ erfolgen.

Wissenschaftlicher und gesellschaftlicher Kontext des Forschungsprojekts:

Unsere methodische Forschung fördert die Ausbeute vorhandener sowie zukünftiger Mikrowellendaten zur Gewinnung neuartiger Fernerkundungs-Datenprodukte. Insbesondere der 2009 von der Europäischen Raumfahrt Behörde (ESA) gestartete „Soil Moisture and Ocean Salinity“ (SMOS) Satellit wird von unserer Forschung profitieren. Wir tragen dazu bei die grossräumige Datenlage zur Beantwortung klimarelevanter Fragen zu verbessern.

Direct link to Lay Summary Last update: 14.12.2014

Responsible applicant and co-applicants

Employees

Publications

Publication
“Tau-Omega”- and Two-Stream Emission Models Used for Passive L-Band Retrievals: Application to Close-Range Measurements over a Forest
Schwank Mike, Naderpour Reza, Mätzler Christian (2018), “Tau-Omega”- and Two-Stream Emission Models Used for Passive L-Band Retrievals: Application to Close-Range Measurements over a Forest, in Remote Sensing, 10(12), 1868-1868.
Snow Wetness Retrieved from L-Band Radiometry
Naderpour Reza, Schwank Mike (2018), Snow Wetness Retrieved from L-Band Radiometry, in Remote Sensing, 10(3), 359-359.
Snow Density and Ground Permittivity Retrieved from L-Band Radiometry: Melting Effects
Schwank Mike, Naderpour Reza (2018), Snow Density and Ground Permittivity Retrieved from L-Band Radiometry: Melting Effects, in Remote Sensing, 10(3), 354-354.
Davos-Laret Remote Sensing Field Laboratory: 2016/2017 Winter Season L-Band Measurements Data-Processing and Analysis
Naderpour Reza, Schwank Mike, Mätzler Christian (2017), Davos-Laret Remote Sensing Field Laboratory: 2016/2017 Winter Season L-Band Measurements Data-Processing and Analysis, in Remote Sensing, 9(11), 1185-1185.
Snow Density and Ground Permittivity Retrieved From L-Band Radiometry: A Retrieval Sensitivity Analysis
Naderpour Reza, Schwank Mike, Matzler Christian, Lemmetyinen Juha, Steffen Konrad (2017), Snow Density and Ground Permittivity Retrieved From L-Band Radiometry: A Retrieval Sensitivity Analysis, in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(7), 3148-3161.

Collaboration

Group / person Country
Types of collaboration
Forschungszentrum Jülich GmbH (FZJ) - IBG-3 Germany (Europe)
- in-depth/constructive exchanges on approaches, methods or results
- Publication
- Research Infrastructure
- Exchange of personnel
Gamma remote Sensing AG Switzerland (Europe)
- in-depth/constructive exchanges on approaches, methods or results
- Research Infrastructure
- Industry/business/other use-inspired collaboration
FMI Finland (Europe)
- in-depth/constructive exchanges on approaches, methods or results
- Publication
- Research Infrastructure
CESBIO France (Europe)
- in-depth/constructive exchanges on approaches, methods or results
- Publication

Scientific events

Active participation

Title Type of contribution Title of article or contribution Date Place Persons involved
IGARSS 2018 Individual talk Snow wetness retrieved froml-band radiometry 24.07.2018 Valencia, Spain Schwank Mike; Naderpour Reza;


Awards

Title Year
Reza Naderpour's PhD work is proposed for an ETH medal. 2019

Associated projects

Number Title Start Funding scheme
182049 Active/Passive REmote Sensing of Snow (APRESS) 01.05.2019 Project funding (Div. I-III)
182049 Active/Passive REmote Sensing of Snow (APRESS) 01.05.2019 Project funding (Div. I-III)

Abstract

Radiation, heat and mass fluxes through the terrestrial surface layer are affected by snow and vegetation. Knowing the states of these surface covers is particularly relevant with regard to the exchange of water between land and atmosphere. At the large scale, this exchange is a driving mechanism to be considered, e.g., in global climate change scenario development to quantify mitigation strategies. Accordingly, global information on snow and vegetation states are important to know. The further exploitation of remote microwave signals provided by emerging space-born active and passive sensors (radars and radiometers), bears the potential to obtain information on snow and vegetation that is complementary to corresponding existing data-products as provided e.g. from optical sensors. In this context the proposed project Active/Passive Microwave Remote Sensing in Application to ”Vegetation & Soil” and “Snow & Soil” (MicroVegSnow) will support the extended exploitation of active and passive microwave data measured over vegetated and snow covered areas. Due to the already existing infrastructure built up at the FZJ (Forschungszentrum Jülich GmbH, Germany) and the expertise in radiative transfer modelling, snow physics, hydrology, parameter estimation and inversion available in both host institutes (FZJ and the WSL (Swiss Federal Institute for Forest, Snow and Landscape Research, Switzerland)) MicroVegSnow is proposed as a joint project. The MicroVegSnow project includes the topic areas ”Vegetation & Soil” and “Snow & Soil”, which are handled by the FZJ and the WSL, respectively. The overall objective of the MicroVegSnow project is to explore the microwave radiative transfer that determines remote active and passive microwave signals of footprints comprising vegetation and snow. To this aim, the overarching research concept includes: i) tower-based active and passive microwave measurements over vegetated and snow-covered footprints accompanied by simultaneous in-situ measurements; ii) the development and the validation of radiative transfer forward models to simulate corresponding microwave signals; and iii) the development and the assessment of retrieval schemes needed to derive information on snow and vegetation states from remote microwave signals. The microwave remote sensing field campaigns i) associated with the topic area ”Vegetation & Soil” are planned to be conducted at the TERENO test-site Selhausen near Jülich during the growing periods 2015 and 2016. During the winters 2014/15 and 2015/2016 corresponding field campaigns i) will be performed at a test-site near Davos (WSL/SLF) in support of the topic area “Snow & Soil”.The research outcome of the MicroVegSnow project will increase our understanding of active and passive microwave remote sensing in application to vegetation, snow, and soil. This is the basis to optimally exploit available and future microwave remote sensing data measured over vegetated and snow covered terrains.
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