• Aucun résultat trouvé

Freeze/thaw mapping using SMAP data over the Canadian tundra : Sheldrake and Nastapoka (Turjusuk park).

N/A
N/A
Protected

Academic year: 2021

Partager "Freeze/thaw mapping using SMAP data over the Canadian tundra : Sheldrake and Nastapoka (Turjusuk park)."

Copied!
1
0
0

Texte intégral

(1)

Freeze/ Thaw mapping using SMAP data over the Canadian Tundra:

Sheldrake and Nastapoka (Turjusuk park)

Chaima Touati

1

, Tahiana Ratsimbazafy

1

, Monique Bernier

1

, Lingxiao Wang

2

, Ralf Ludwig

2

1

Institut national de la recherche scientifique,

2

Ludwig-Maximilians-Universität München

1. INTRODUCTION

The seasonal Freeze/Thaw (F/T) cycle is a major phenomenon in the climate system and plays an important role in ecosystem functioning. Boreal and Arctic regions form a land cover mosaic where vegetation structure, conditions and distribution are strongly regulated by the environmental factors such as soil moisture, permafrost status, growing season length and disturbance. The frozen soil mapping can be improved by using the NASA SMAP instrument launched in January 2015 which is a passive microwave Radiometer operating at L-band

(1.20-1.41 GHz).

To validate L1C_TB SMAP product to monitor F/T state at low resolution (36 km) over the Tundra and the Boreal Forest.

The experimental site is the Sheldrake catchment in the

National Tursujuq, Park on the East coast of Hudson Bay.

Fig.1. Study site, Turjusuk Park, Nunavik, Quebec

TB_correction

Calculate Freeze

and Thaw average

reference

∆𝑇𝑇(𝑥𝑥, 𝑡𝑡) > 𝑇𝑇(𝑥𝑥, 𝑡𝑡)

𝑁𝑁𝑁𝑁𝑁𝑁 (𝑥𝑥, 𝑡𝑡)

=

𝑇𝑇𝑇𝑇

𝑇𝑇𝑇𝑇

𝑉𝑉

− 𝑇𝑇𝑇𝑇

𝐻𝐻 𝑉𝑉

+ 𝑇𝑇𝑇𝑇

𝐻𝐻

∆ 𝑥𝑥, 𝑡𝑡

=

𝑁𝑁𝑁𝑁𝑁𝑁 𝑥𝑥, 𝑡𝑡 − 𝑁𝑁𝑁𝑁𝑁𝑁 𝑓𝑓𝑓𝑓

𝑁𝑁𝑁𝑁𝑁𝑁 𝑡𝑡𝑡 − 𝑁𝑁𝑁𝑁𝑁𝑁 𝑓𝑓𝑓𝑓

4.2 Freeze/thaw reference and threshold T(x)

𝐓𝐓𝐓𝐓 = 𝜶𝜶 𝑻𝑻𝑻𝑻

𝒘𝒘𝒘𝒘𝒘𝒘𝒘𝒘𝒘𝒘

+ (𝟏𝟏 − 𝜶𝜶)𝑻𝑻𝑻𝑻

𝑳𝑳𝒘𝒘𝑳𝑳𝑳𝑳

5. RESULTS

Inputs

Outputs

Yes

No

Fig.5. Freeze/Thaw mapping algorithm adapted from (Rautiainen et al., 2016)

4. Data base

2. OBJECTIVE

3.

STUDY SITE

• Passive data

: SMAP Brightness Temperatures (TB) in

processing Level-1C (L1C) at L-band, spatial resolution 36 km.

• Active data

: PALSAR-2 (fine resolution: 7-80 m).

• Optical data

: MODIS (250 m), Landsat (30 m).

• In-situ data:

S

oil moisture and temperature sensors; Landscape Photographs;

Vegetation species and structure.

Fig.2. L1C TB data characteristics

Fig.3. Localisation of the probes near or in the Tursujuq park

4.1 TB Correction for Water Bodies coverage

Fig 6. TB correction for Water Bodies Coverage (%) effects within a given pixel

Fig 7. Threshold calculated for Umiujaq pixel

6. CONCLUSION

Fig 8. Delta_NPR for (a) 29 December and (b) 26 April

(a) (b)

The threshold is calculated for each pixel using freeze and thaw NPR distribution (Fig.7 and Fig.8). Freeze and Thaw state are

validated using soil temperature measured by in-situ sensors.

4. METHODOLOGY

Fig.4. Example of soil temperature and soil moisture 2016-2017 profiles near the Turjusuk park.

4.3 Delta_NPR (

∆ 𝒙𝒙, 𝒘𝒘 )

Thershold St First F day sensor First T day sensor First F day SMAP First T day SMAP Hum-4 23-10-15 11-05-16 22-10-15 10-05-16

∆𝑻𝑻 𝒙𝒙, 𝒘𝒘 < 𝑻𝑻(𝒙𝒙, 𝒘𝒘) Freeze state ∆𝑻𝑻(𝒙𝒙, 𝒘𝒘) > 𝑻𝑻(𝒙𝒙, 𝒘𝒘) Thaw state

Freeze state

Thaw state Thaw state

Transition state

Références

Documents relatifs

The methodology jointly uses a Spot6/7 or Pleiades Very High Spatial Resolution (VHSR) image, time series of Sentinel-2 and Landsat-8 High Spatial Resolution (HRS) optical images and

Table S2: Description of the 150 calibration trees: cultivar; number of fruit detected by the KNN-based machine vision and yield measured; load index; and tree structure

(1) CESBIO, TOULOUSE CEDEX 4, France (Yann.Kerr@cesbio.cnes.fr), (2) Vega technologies, Toulouse, France, (3) INRA-EPHYSE, Bordeaux France, (4) Array systems, Toronto, Canada, (5)

The main objectives of this paper is (i) to implement DISPATCH algorithm at 100 m resolution using SMAP SM and Landsat land surface temperature and vegetation index data and (ii)

Comparisons of August soil moisture (SSM) maps (4 th and 20 th ) derived from ENVISAT-ASAR and ERS WSC SSM products and EPSAT-SG rainfalls estimates on the same day and over the

[ 85 ] To specifically assess the impacts of the seasonal and interannual dynamics of soil moisture and seasonal vegetation on Sahelian dust emissions, the simulated area was

The wild-type and the AAV2/8BP2 retinas showed similar specificity in transduction of bipolar cells, with 80–83% of the green virus- transduced cells also labeling as ON-bipolar

Based on the anatomical connectivity space, which allows an exhaustive and continuous representation of the anatomical connectivity of the U-shape fibres of a sulcus,