Land – Geo Applications

Land Product Team

Time series from next generation geostationary satellites present opportunities to extract new and unique information in support of disaster response and management, Land Surface Temperature (LST) and surface energy balance monitoring, and vegetation process/carbon cycle observation, among many others.

Target Products/Applications

Land Surface Temperature & Emissivity

Dependencies: Solar zenith, view zenith, cloud mask, land mask, precipitable water, water vapour profile, MODIS

Potential end users: BoM, CSIRO, JMA, NIES, researchers

Algorithm Type	Developing Institution	Estimated Resources	Currently Funded
SWA e.g. adapted from GOES-ABI	CSIRO (with NOAA) (8)	0.3 FTE	No
Semi-analytical	Nagasaki University (6), JAXA (TBD)	0.2 FTE (TBC)	Yes (partially)

Flood Mapping (retrospective)

Flood Mapping (real-time)

Dynamic Fire Mapping

Burnt Area Mapping

Normalised Surface Reflectance

– Terrain and BRDF corrected

Dependencies: Cloud mask, land mask, precipitable water, Ozone, validation data

Potential end users: NIES, Researchers

Algorithm Type	Developing Institution	Estimated Resources	Currently Funded
Atmospherically corrected reflectance	BoM (2), DSITI (10), UQ (TBD), CSIRO (TBD), GA (10)	0.5 FTE	TBD
Radiative transfer models via look-up-tables	JAXA/EORC (TBD)	0.3 FTE	No

Vegetation Indices

– Daily composites comprised of all clear-sky pixels

Dependencies: Surface reflectance product, validation data

Potential end users: NIES, SAFE, researchers

Algorithm Type	Developing Institution	Estimated Resources	Currently Funded
Based on cloud mask and normalised reflectance	CSIRO (TBD), DSITI (TBD), UQ (TBD)	0.25 FTE	TBD
Based on cloud mask and normalised reflectance	JAXA/EORC (TBD)	0.1 FTE	No

Evapotranspiration

Dependencies: Land surface temperature, shortwave radiation, near-surface air temperature, cloud mask, near-surface relative humidity, near-surface wind speed, fractional vegetation cover, catchment and basin boundaries, stream flow data (for validation)

Potential end users: BoM, universities, government departments

Algorithm Type	Developing Institution	Estimated Resources	Currently Funded
NDTI/SLST	CSIRO (5) (12)	0.5 FTE	No

Land Surface Silicate Particle Size

Land Surface Silicate Mineral Particle Size

Dependencies: Accuracy of temperature-emissivity separation method, down-welling radiance, SO₂ hotspots, surface moisture, frequency of dynamic cloud and vegetative ground cover, ASTER, local meteorological data

Potential end users: International, national and state NRMs for dust management; UNCCD – National reporting on progression of desertification by surface clay loss; Earth system researchers

Algorithm Type	Developing Institution	Estimated Resources	Currently Funded
Based on CSIRO’s processing for National ASTER Silicate Index product using comparable spectral emissivity of Himawari-8 bands 10-12	CSIRO (1), CAS-RADI (TBD), AIST (TBD)	0.2 FTE	Pilot evaluation to be folded into current CSIRO-CAS-RADI-AIST “EO for Desertification” project activity

Coordination Leads

Yoshiaki Honda

Chiba University

Koji Kajiwara

Chiba University

Luigi Renzullo

CSIRO

Product & Advisory Leads

(1) Tom Cudahy (CSIRO)
(2) Ian Grant (BoM)
(3) Yoshiaki Honda (Chiba University)
(4) Koji Kajiwara (Chiba University)
(5) Tim McVicar (CSIRO)
(6) Masao Moriyama (University Nagasaki)
(7) Norman Mueller (GA)
(8) Luigi Renzullo (CSIRO)
(9) Peter Scarth (UQ)
(10) Medhavy Thankappan (GA)
(11) Catherine Ticehurst (CSIRO)
(12) Tom Van Neil (CSIRO)