a multi-scale observation dataset of the snow cover in the ... · sd min = 105 mm (aqua et terra)...

32
Simon Gascoin 1 , Renaud Marti 1,2 , Manuel Grizonnet 3 , Etienne Berthier 4 , Pascal Fanise 1 , Olivier Hagolle 1 1 CESBIO (CNRS/CNES/IRD/UT3), Toulouse 2 GEODE (CNRS/UT2J), Toulouse 3 CST (CNES), Toulouse 4 LEGOS (CNRS/CNES/IRD/UT3), Toulouse A multi-scale observation dataset of the snow cover in the Pyrenees

Upload: duongnhan

Post on 27-Apr-2018

213 views

Category:

Documents


1 download

TRANSCRIPT

Simon Gascoin1, Renaud Marti1,2, Manuel Grizonnet3, Etienne Berthier4, Pascal Fanise1, Olivier Hagolle1

1CESBIO (CNRS/CNES/IRD/UT3), Toulouse 2GEODE (CNRS/UT2J), Toulouse

3CST (CNES), Toulouse 4LEGOS (CNRS/CNES/IRD/UT3), Toulouse

A multi-scale observation dataset of the

snow cover in the Pyrenees

Simon Gascoin1, Renaud Marti1,2, Manuel Grizonnet3, Etienne Berthier4, Pascal Fanise1, Olivier Hagolle1

1CESBIO (CNRS/CNES/IRD/UT3), Toulouse 2GEODE (CNRS/UT2J), Toulouse

3CST (CNES), Toulouse 4LEGOS (CNRS/CNES/IRD/UT3), Toulouse

A multi-scale observation dataset of the

snow cover in the Pyrenees

satellite

Importance of the snow in the Pyrenees

Importance of the snow in the Pyrenees

Crop irrigation

Hydropower

Ski

In situ snow monitoring network

R. Marti, PhD thesis

Winter snowline

Summer snowline

Presentation outline

• A snow cover area climatology from MODIS

snow products (NASA)

• A snow cover area product from Landsat-8

and Sentinel-2

• A peak snow depth product from Pléiades

stereo imagery

MODIS snow cover climatology

Aqua (MYD10A1) and Terra (MOD10A1)

binary snow products from NSIDC

MODIS snow cover climatology 1) Validation

2) Gapfilling

3) Application

157 Landsat dates Snow cover fraction

MODIS snow cover climatology

SWEmin = 40 mm we

SDmin = 105 mm (Aqua et Terra)

19 snow stations

1) Validation

2) Gapfilling

3) Application

MODIS snow cover climatology

Cloud fraction

MODIS snow cover climatology 1) Validation

2) Gapfilling

3) Application

Snow

Cloud

No snow

Dumont & Gascoin (2016) “Optical remote sensing of the snow cover”

MODIS snow cover climatology 1) Validation

2) Gapfilling

3) Application

Gapfilling steps

Daily snow maps without gaps

Snow cover area timeseries

MODIS snow cover climatology 1) Validation

2) Gapfilling

3) Application Mean snow cover duration

by elevation band by slope aspect

Gascoin et al. 2015

“Snow cover climatology for the Pyrenees”

MODIS snow cover climatology

0

50

100

150

200

250

300

350

0

500

1000

1500

2000

2500

3000

3500

1 2 3 4 5 6 7 8 9 10 11 12

Total 2012 Total 1995-2012

Hydro 2012 hydro 1995-2012

Impact of 2012 snow deficit on Spain

national hydropower production

MODIS snow cover climatology 1) Validation

2) Gapfilling

3) Application Comparison with SURFEX-ISBA (Ariège à Foix 1340 km2)

Martin et al. 2016

Surv. Geophys.

Presentation outline

• A snow cover area climatology from MODIS

snow products (NASA)

• A snow cover area product from Landsat-8

and Sentinel-2

• A snow depth product from Pléiades stereo

imagery

MODIS vs. Landsat

MODIS 500-m, 1 day Landsat-8 30-m, 16 days

t

MODIS

Landsat-8

MODIS vs. Landsat

MODIS 500-m, 1 day Landsat-8 30-m, 16 days

t

MODIS

Landsat-8

Sentinel-2

Sentinel-2 TOA

Snow and cloud masks

Atmospheric and terrain correction

Cloud and cloud shadow

detection

Snow detection

neigeaNDSI

MIRVIS

MIRVISNDSI

Sentinel-2 and Landsat-8 snow product

DEM

First Sentinel-2 snow map

Central Pyrenees

06-Jul-2015 vs. Aug-2013…

Sentinel-2 and Landsat-8 snow product

… becomes operational in 2017

• Output • Raster in geotiff

• Polygons in shapefile

• Distribution • http://theia.cnes.fr

• Code • Python, C++ (OTB, GDAL)

• Online doc and code in

Cesbio’s GitLab 57 Landsat-8 tiles of 110 km x 110 km

Sentinel-2 and Landsat-8 snow product

… becomes operational in 2017

• Output • Raster in geotiff

• Polygons in shapefile

• Distribution • http://theia.cnes.fr

• Code • Python, C++ (OTB, GDAL)

• Online doc and code in

Cesbio’s GitLab

Presentation outline

• A snow cover area climatology from MODIS

snow products (NASA)

• A snow cover area product from Landsat-8

and Sentinel-2

• A snow depth product from Pléiades stereo

imagery

Pléiades snow depth

• Pléiades 1A et 1B: 70 cm

spatial resolution, very agile,

12 bits radiometry

Pléiades snow depth

• Pléiades 1A et 1B: 70 cm

spatial resolution, very agile,

12 bits radiometry

High resolution tri-stereo

imaging capability

Pléiades snow depth

26-Oct-2014 11-Mar-2015

Bassiès power plant watershed

Ariège, Pyrenees

Pléiades Tristereo

UAV survey

442 snow probe measurements (10-Mar-2015)

Pléiades Tristereo

UAV survey (13-Jul-2015)

Pléiades snow depth

DEM no snow DEM peak snow

Pléiades snow depth

dDEM Comparison with snow probe data

Residuals:

median=-16cm

std=58cm

NMAD=45cm

Pléiades snow depth

Marti et al. 2016

Pléiades Drone

Pléiades snow depth

Summary

MODIS snow cover area

S2/L8 snow cover area

Pléiades snow depth

Mountain range

Watershed

Time (log)

Exte

nt

in k

m (

log)

500m

resolution,

every day

20m

resolution,

every 5 days

2m

resolution,

once a year

Data availibility

Email: [email protected]

Twitter: @sgascoin

Facebook: sgascoin

Skype: sgascoin

Tel. +33 5 61 55 86 68

Postcards: 18 ave. E. Belin 31400 Toulouse

Check our blog :

http://www.cesbio.ups-tlse.fr/multitemp/