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Indian National (Weather) SATellites for Agrometeorological Applications Bimal K. Bhattacharya Agriculture-Terrestrial Biosphere- Hydrology Group Space.

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Presentation on theme: "Indian National (Weather) SATellites for Agrometeorological Applications Bimal K. Bhattacharya Agriculture-Terrestrial Biosphere- Hydrology Group Space."— Presentation transcript:

1 Indian National (Weather) SATellites for Agrometeorological Applications Bimal K. Bhattacharya Agriculture-Terrestrial Biosphere- Hydrology Group Space Applications Centre (ISRO) Ahmedabad , India

2 / IRS-1C/1D LISS-3 (23/70M) STEERABLE PAN (5.8 M) WiFS (188M) IRS-P3 WiFS, MOS X-Ray IRS-P4 (OCEANSAT-1) OCM, MSMR IRS-P6(RESOURCESAT) LISS 3 – 23.5/140 Km LISS M/ 27Km AWiFS - 55M/ 730 Km INSAT-1D VHRR INSAT-2A VHRR INSAT-2E VHRR, CCD (1 KM) INSAT-2B VHRR METSAT-1 VHRR – 2 Km(vis); 8 Km(IR & WV) INSAT-3A VHRR – 2 Km(vis); 8 Km(IR & WV) CCD – 1 Km PRESENT IRS-P5 (CARTOSAT-I) PAN 2.5 m stereo IRS-P7 (CARTOSAT-II) PAN 0.85 m 2007

3 VIS : 2km TIR-day : 8km TIR-night : 8km WV-day : 8km CCD FCC : 1km Optical band Water Vapour band Thermal Infrared band Optical bands KALPANA - 1 VHRR INSAT 3A CCD SatelliteSensor Bands ( m) Spatial res. Kalpana -1VHRRVIS ( ) WV ( ), Thermal IR ( ) 2km x 2km 8km x 8km INSAT 3A VHRR CCDRed ( ), NIR( ), SWIR ( )1km x 1km INSAT 3D (2011) ImagerVIS( ), SWIR( ) MIR( ) WV( ), TIR1( ), TIR2( ) 1km x 1km 4km x 4km Sounder19 channels 10km x 10km Geo-HR (2015) ImagerRed, NIR, SWIR Thermal IR 100m X 100m 1 km X 1km Suite of Indian geostationary Sensors

4 MODIS precipitable water (cm) Before noon (<1200 hrs) Afternoon (>1200 hrs) RED DN NIR DNSWIR DN 0300 GMT0400 GMT0500 GMT 0700 GMT 0900 GMT Molecular scattering (Rayleigh) MODIS ozone (Dobson) MODIS AOD (tau 550 ) DEM (m) Mie scattering Level 1A correction NDVINDVI Level 1B & 1C correction Cloud masking F C CF C C F C CF C C Flow of INSAT 3A CCD NDVI operational product generation

5 13 Aug to 28 Aug08 6 Mar to 21Mar09 25 May to 9June08 1 Nov to 16 Nov08 16 Oct to 31Oct08 7 April to 22 April09 2 Feb to 17 Feb093 Dec to 18 Dec08 10 June to 25 June0812 July to 27 July08 14 Sept to 29 Sept08 26 June to 11 July08 28 July to 12 Aug08 29 Aug to13 Sept0830 Sept to 15 Oct08 17 Nov to 2 Dec0818 Feb to 05 Mar09 22 Mar to 6 April09 23 April to 30 April09 VEGETATION DYNAMICS FROM INSAT 3A CCD – – – – – – – – – – – – – – – – – 0.12

6 INSAT TIR, WV Data 3 Hourly Image Conversion from Grey Count to TBs Look Up Table for Calibration Grid Average of IR TBs ( x ) Collocation of IR TBs and MW Rainfall Estimation of Rainfall IR and WV - Cloud Classification PW & RH Correction Corrected Rainfall Estimation Final Rain Rate, Daily, Pentad, monthly & Seasonal Rainfall Model PW & RH Forecast Satellite Microwave Rainfall (TRMM/SSMI) Grid Avg. Rainfall ( x ) Rainfall Validation/ Fine Tuning (DWR/SFRG) Flow Chart for rainfall estimation from INSAT VHRR (Gairola et al. 2008) Rainfall product

7 Surface Emissivity Original VHRR thermal IR data Correction for atmospheric water vapour & surface emissivity Characteristic vertical tropospheric air temperature profiles and AIRS sounder based surface air temperature cm K K K1VHRR LST Experimental product – Land surface temperature (LST) Precipitable water

8 Agromet Applications Late season drought detection from NDVI Identification of cold wave zone Disaster (flood) Evapotranspiration monitoring for stress detection & productivity mapping

9 30 th Sept to 15 th Oct th Sept to 15 th Oct 2009 Late season agricultural drought detection from INSAT 3A CCD NDVI 16 th Oct to 31 st Oct th Oct to 31 st Oct 2009 IMD June-Sept 2009 NDVI ranges

10 5 Feb 08 7 Feb 08 8 Feb 08 9 Feb oCoC Capturing Coldwave spell over Northwestern India during January and February 2008 using nighttime thermal infrared data from Kalpana-1 VHRR 19 Jan Jan Jan 08

11 22 Aug Aug Sept Sept Sept Sept 2008 Capturing damaging events : Koshi flood 2008 from 3A CCD

12 Agriculture Forest Desert AET November AET December AET January AET February AET March RET November RET DecemberRET January RET February RET March Monthly Actual and Relative Evapotranspiration during rabi season using surface energy balance approach mm d >1.0

13 Automated Microclimate in situ observational Network Using INSAT Communication Transponder – A recent Initiative from ISRO

14 Defining 10 m INSAT- uplinked micrometeorological tower for short (2-3m) vegetation Agro- Met Station (AMS)

15 Micromet tower network in India Selection criteria : fetch ratio (1:50 to 1:100), Agroclimate, vegetation, soil type CROPCROP GRASSGRASS WETLANDWETLAND DESERTDESERT

16 Forecasting Agricultural out put using Space, Agrometeorology and Land based observations (FASAL) Econometry Agro Meteorology Land Observations RS, Mod. Re. Temporal RS, High Re. Single date Conventional Remote Sensing MULTIPLE IN-SEASON FORECAST Pre- Season Early- Season Mid- Season State Pre- Harvest State Pre- Harvest District Cropped area Crop condition Crop acreage Crop yield Revised Incorporati ng damage

17 Thank you……..


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