Abstract
The Bureau of Meteorology continuously acquires low resolution multispectral image data, with continental coverage of Australia in near-real time, from both the Advanced Very High Resolution Radiometer (AVHRR) on the US National Oceanic and Atmospheric Administration (NOAA) polar orbiting satellites and from the geostationary imagers on Japan’s MTSAT-1R and China’s Fengyun-2C satellites. The Bureau routinely derives several products from these satellites which can serve as continuous data streams that can contribute to operational land surface monitoring, either directly or as inputs (drivers or constraints) to land surface models. Solar radiation, in the form of fields of integrated daily solar horizontal exposure, is produced daily from MTSAT-1R visible-band data. A 17-year climatology of daily solar radiation has recently been produced by processing archived satellite data from 1990 to 2006, and will find application in agriculture, solar energy planning, building design, and surface energy balance studies. The Bureau is implementing operational production of Normalised Difference Vegetation Index (NDVI) and land surface temperature (LST) from AVHRR data using the Common AVHRR Processing System (CAPS) software developed by CSIRO, for use in applications that require national monitoring of vegetation condition. All of these products are produced on a 0.05° national grid: at least once per day for LST, daily for solar exposure, and weekly for NDVI. The AVHRR data products and solar exposure can together serve as near-real time continental inputs to systems for the assessment of surface moisture status across Australia, based either on simple surface energy balance models or more complex land surface models. The Australian Water Availability Project, a collaboration between the Bureau of Rural Sciences, CSIRO and the Bureau of Meteorology, is using such an approach with the data streams described to establish national monitoring of land surface water availability.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Barber J (1989) Remote sensing strategies for monitoring grassland fire fuels. Ph.D. thesis, University of Melbourne
Brown ME, Pinzon JE, Morisette JT, Didan K, Tucker CJ (2005) Evaluation of the consistency of long-term NDVI time series derived from AVHRR, SPOT-Vegetation, SeaWiFS, MODIS, and Landsat ETM+ sensors. IEEE Trans Geosci Remote Sens 44:1787–1793
Davies HL (2002) The NAP (N-Dimensional Array Processor) extension to Tcl. In: Ninth Annual Tcl/Tk Conference, http://tcl-nap.sourceforge.net/nap_paper2002.pdf
Dilley AC, Edwards M (1998) The automatic processing of ASDA format NOAA HRPT data at CSIRO DAR. Internal Paper 6, CSIRO Division of Atmospheric Research, Aspendale, Australia
Dilley AC, Edwards M, O‘Brien DM, Mitchell RM (2000) Operational AVHRR processing modules: Atmospheric correction, cloud masking and BRDF compensation. Internal Paper 14, CSIRO Division of Atmospheric Research, Aspendale, Australia
Heidinger AK, Venkata RA, Dean C (2002) Using MODIS to estimate cloud contamination of the AVHRR record. J Atmos Ocean Technol 19:586–601
Huete AR, Didan K, Muira T, Rodriguez EP, Gao X, Ferreira LG (2002) Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens Environ 83:195–213
King EA (2003) The Australian AVHRR data set at CSIRO/EOC: Origins, processes, holdings and prospects. Report 2003/32, CSIRO Atmospheric Research, Canberra, Australia
Koepke P, Hess M, Schult I, Shettle EP (1997) Global aerosol data set. Report 243, Max-Planck Institut fur Meteorologie, Hamburg, Germany
Liang S, Strahler AH, Walthall C (1999) Retrieval of land surface albedo from satellite observations: A simulation study. J Appl Meteor 38:712–725
McVicar TR, Jupp DLB (2002) Using covariates to spatially interpolate moisture availability in the Murray-Darling basin: A novel use of remotely sensed data. Remote Sens Environ 79:199–212
Minnis P, Nguyen L, Doelling DR, Young DF, Miller WF, Kratz DP (2002) Rapid calibration of operational and research meteorological satellite imagers. Part I: Evaluation of research satellite visible channels as references. J Atmos Ocean Technol 19:1233–1249
Mitchell RM (1999) Calibration status of the NOAA AVHRR solar reflectance channels: CalWatch revision 1. Technical paper 42, CSIRO Atmospheric Research, Aspendale, Australia
Mitchell RM, O‘Brien DM (1993) Correction of AVHRR shortwave channels for the effects of atmospheric scattering and absorption. Remote Sens Environ 46:129–145
Miura T, Huete A, Yoshioka H (2006) An empirical investigation of cross-sensor relationships of NDVI and red/near-infrared reflectance using EO-1 hyperion data. Remote Sens Environ 100:223–236
Paltridge GW, Barber J (1988) Monitoring grassland dryness and fire potential in Australia with NOAA/AVHRR data. Remote Sens Environ 25:381–394
Rao CRN, Chen J (1999) Revised post-launch calibration of the visible and near-infrared channels of the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-14 spacecraft. Int J Remote Sensing 20:3485–3491
Schaaf CB et al. (2002) First operational BRDF, albedo and nadir reflectance products from MODIS. Remote Sens Environ 83:135–148
Sobrino JA, Rassouni N (2000) Toward remote sensing methods for land cover dynamic monitoring: Application to Morocco. Int J Remote Sensing 21:353–366
Stowe LL, David PA, McClain EP (1998) Scientific basis and initial evaluation of the CLAVR-1 global clear/cloud classification algorithm for the Advanced Very High Resolution Radiometer. J Atmos Ocean Technol 16:656–681
Wan Z, Zhang Y, Zhang Q, Li Z-L (2004) Quality assessment and validation of the MODIS global land-surface temperature. Int J Remote Sensing 25:261–274
Weymouth GT, Le Marshall JF (1999) An operational system to estimate global solar exposure over the Australian region from satellite observations 1. Method and the initial climatotogy. Aust Meteor Mag 48:181–195
Weymouth GT, Le Marshall JF (2001) Estimation of daily surface solar exposure using GMS-5 stretched-VISSR observations: The system and basic results. Aust Meteor Mag 50:263–278
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Grant, I. (2009). Near-Real Time Satellite Products to Drive Australia-Wide Land Surface Monitoring and Modelling of Surface Water and Energy Balance. In: Jones, S., Reinke, K. (eds) Innovations in Remote Sensing and Photogrammetry. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-93962-7_13
Download citation
DOI: https://doi.org/10.1007/978-3-540-93962-7_13
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88265-7
Online ISBN: 978-3-540-93962-7
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)