Research on Soil Moisture and Evapotranspiration using Remote Sensing



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Research on Soil Moisture and Evapotranspiration using Remote Sensing Prof. dr. hab Katarzyna Dabrowska Zielinska Remote Sensing Center Institute of Geodesy and Cartography 00-950 Warszawa Jasna 2/4

Field Measurements at the Middle Biebrza Basin May, June, July, August 2000 May, June, July 2001 May, June, July 2002 Satellite Images: Landsat TM - May 2000 SPOT/VEGETATION May 2000; May 2001 ERS/ATSR May 2000; May 2001 ERS. SAR May, June, July, August NOAA/AVHRR ERS-SAR 1995, 1997, 2000, 2001,2002-2003 ENVISAT TERRA MODIS; ASTER

Field data Satellite data optical and microwave Land Use Digital Terrain Model Soil Map Meteorological Data Evapotranspiration soil moisture Modelling Water Balance

Satellite Data OPTICAL DATA MICROWAVE DATA Classification of vegetation LAI EVAPOTRANSPIRATION Soil Moisture

ERS-2. PRI The impact of ground truth variables on microwave signals expressed by backscatter coefficient has been examined Mirror reflection Smooth surface Smoothed area reflects radiation as mirror surface, what causes minimal return to the receiver. Such objects are dark. Mixed reflection Scattered reflection Rough area reflects radiation in different angles what causes that most of the radiation returns to the receiver. Such surfaces are light

The registered microwave signal depends on: Configuration of the system (stable): frequency (length) of generated wave, polarisation ( VV, HH; cross - HV, VH), angle of radiation between perpendicular and the surface Surface properties (variable): Surface roughness

ERS-2.SAR Image 22.06.2000

Backscattering coefficient Soil moisture for grassland classes wody, chmura [db] km wody, chmura [% obj.] ERS-2.SAR 03.07.1997 ERS-2.SAR 22.06.2000 WG = f (grassland class, LAI, )

Backscattering coefficient Backscattering coefficient Backscattering coefficient Backscattering coefficient

Soil Moisture in the classified grassland areas Based on

Soil Moisture in the classified grassland areas

Opady (mm) suma opadów (mm) 600 500 400 300 200 100 0 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 stycze luty marzec kw iecie maj czerw iec lipiec sierpie w rzesie miesic/dekada 2000 2001

OPTICAL DATA Satellite/ Radiometer/ Landsat ETM Spectral resolution Wavelength µm Blue Green Red NIR SWIR SWIR 0.45-0.52 0.07 0.52-0.60 0.08 0.63-0.69 0.06 0.76-0.90 0.14 1.55-1.75 0.20 2.08-2.35 0.27 Radiative temperatur e 8-14 µm SPOT/VEGETA TION-Spectral resolution 0.43-0.47 0.04 0.61-0.68 0.07 0.78-0.89 0.11 1.58-1.75 0.17 ERS2/ATSR 0.54-0.56 0.02 0.64-0.66 0.02 0.86-0.88 0.02 1.45-1.75 0.3 8-14 µm NOAA/AVHRR 0.58-0.68 0.10 0.72-1.1 0.38 8-14 µm

LE = RN H - G RN = LE +H+ G where: RN - the rate of net gain of heat from radiation (measured) (Wm - ²) LE - the rate of loss of latent heat by evapotranspiration (Wm - ²) H - the rate of sensible heat loss by convection (Wm - ²) G - the rate of heat loss into the ground (measured) (Wm - ²) The values of the rate of sensible heat loss by convection (H) has been calculated as follows: H = (pc p (T S -T a ))/r a p - air density (kgm - ³) C p - specific heat of air (Jkg -1 K -1 ) T s - surface temperature from ATSR corrected due to atmospheric water vapour T a - air temperature measured at the study area ( C) r a - air resistance for heat transfer (sm -1 ) The values of air resistance (r a ) have been calculated as follows:

Surface Temperature

Latent Heat flux

LE [W/m2] 250 225 200 175 150 125 100 75 50 25 0 4.05.2001 16.05.2000 12.07.2001 25.07.2000 1 2 3 4 5 6 1-GRASS MEADOWS, 2-PASTURES AND MEADOWS WITH SEDGE, 3-SEDGE-CANARY-GRASS MEADOWS, 4-GRASS AND HERBACEOUS MEADOWS, 5-SEDGE-GRASS MEADOWS, 6- MARCH SEDGE MEADOWS LE i = RN i E D RN D LE i E D = RNi RN D

Daily Evapotranspiration

Daily Evapotranspiration

σ 0 = σ v0 + τ 2 σ s 0 Grassland classes LAI (GEMI, NDVI...) Soil moisture Vegetation impact expressed by indices Soil moisture using new derived index IW = σ a σ w σ s σ s

Changes in humidity on 18.05.00 in relation to 25.05.95(based on ERS2-SAR data)

Changes in humidity on 07.06.01 in relation to 22.06.00(based on ERS2-SAR data)

Average backscattering coefficient in each land use class calculated from ERS-2. SAR 18.05.2000

NDVI index from Landsat ETM NDVI index from Landsat ETM 16 05 2000

Opady (mm) suma opadów (mm) 600 500 400 300 200 100 0 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 stycze luty marzec kw iecie maj czerw iec lipiec sierpie w rzesie miesic/dekada 2000 2001

Backscattering coefficient from ERS.2 SAR 18.05.2000

NDVI for grassland classes using ERS2.SAR 18.05.2000

Average values of NDVI for grassland classes using Landsat ETM 16.05.2000

Average values of backscattering coefficient for grassland classes using ERS2.SAR- 18.05.2000

Flooded Areas

18.03.2003 ENVISAT ASAR 18.03.2003 03.04.2003 OSOWIEC OSOWIEC WIZNA WIZNA

MERIS IMAGE from 21.04.2003