• Keine Ergebnisse gefunden

Ground truth data are needed! Monitoring ice-onset on lakes and rivers in northern Siberia with TerraSAR-X imagery

N/A
N/A
Protected

Academic year: 2022

Aktie "Ground truth data are needed! Monitoring ice-onset on lakes and rivers in northern Siberia with TerraSAR-X imagery"

Copied!
1
0
0

Wird geladen.... (Jetzt Volltext ansehen)

Volltext

(1)

Jennifer.Sobiech@awi.de

Monitoring ice-onset on lakes and rivers in northern Siberia with TerraSAR-X imagery

Jennifer Sobiech, Wolfgang Dierking

BREMERHAVEN

Am Handelshafen 12 27570 Bremerhaven Telefon 0471 4831-0 www.awi.de

Motivation

- 15-40% of the Arctic land surface is covered by lakes and rivers.

- The presence of ice on water bodies strongly influences the energy flux.

- Freeze-up happens during the Polar night

 no optical images available for monitoring.

- The timing of ice onset is an important variable for climate change monitoring.

Location

Central Lena River Delta,

Nothern Siberia at 72°N, 126°E Climate conditions

Air temperatures measured in Tiksi, RU, 120 km south-east of the image location

(Data: NOAA National Climate Data Center, US) -35.0

-30.0 -25.0 -20.0 -15.0 -10.0 -5.0 0.0 5.0 10.0

°C

Air Temperature [°C]

TerraSAR-X Time Series Fall 2012

Stripmap Image mode, HH-polarization. Pixel size after geocoding: 13.2 m x 13.2 m. 3x3 Lee filtered.

 Backscattered radar intensity increases from open water to ice covered conditions, but initial ice- formation might be missed.

Ice onset in detail: Where is water, where is ice?

Water (?) Ice (?)

 Water affected by wind shows higher radar

intensities than smooth ice without inclusions of air

bubbles.

 Simple thresholding might miss the ice onset

due to missinterpretation of dark new ice as water or

bright wind-roughened water surfaces as ice.

6.10.2012

Ground truth data are needed!

Fig. 1: Air temperatures in Tiksi September – November 2012 (Data source: NOAA)

10.6 km

25.9.2012 6.10.2012 17.10.2012 28.10.2012 8.11.2012 19.11.2012 30.11.2012

Fig. 2: TerraSAR-X time series fall 2012

Fig. 3: Histograms of the backscatter intensity distributions of the lake in the time series shown in Fig. 2

Fig. 4: TerraSAR-X image subset

High vs. low backscatter at the lake shores:

Low backscatter values

occur when the ice is frozen to the bottom.

High backscatter values might indicate rough ice

conditions or high volumes of air bubbles in the ice.

30.11.2012

Fig. 5: TerraSAR-X image subset

Can we detect ice-onset via

thresholding of the radar intensities?

The red ellipse on the uppermost lake

in the first image marks the test area for the histograms to the right.

Acknowledgements:

This work was supported by the German Space Agency (Proposal HYD0981) and the Alfred Wegener Institut Helmholtz Center for Polar and Marine Research.

Detection of ice conditions during winter:

Referenzen

ÄHNLICHE DOKUMENTE

RIMBAY: flat ice sheet surface over a subglacial lake RIMBAY: profile of modeled glacier with. bedrock, subglacial lake and

• Association of sea ice properties (thickness) with sympagic amphipods and polar cod and inversely correlated with association of water temperature and the amphipod T.libellula. •

Here, we present new biomarker data from surface sediments related to the modern spatial (seasonal) sea-ice variability in the central Arctic Ocean and adjacent marginal seas..

The PCA first and second axes discriminate relatively clearly the origin of the cells: (1) a sympagic coastal origin for several taxa (negative scores of A0, B0 and C0 on axis

In this article, we present Ku-band radar signatures and field measurements obtained during the transects of ISPOL and WWOS, as well as the long-term sea- ice backscatter variability

The parameters are (1) the liquid water content measured by the Nevzorov instrument, (2) the cloud droplet concentration and the effective diameter (see above), and (3)

Gascard et al. 2), (b) surface temperature (from snow pits, IMB, and radiation measurements) and snow grain size, (c) sea-ice and total (snow+ice) thickness measured with IMB

Here we present properties of melting snow (Fig. 4-6), processes of superimposed ice formation based on field measurements and ice-laboratory analysis (Fig. 7-10), as well as