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University, a Masters of Science in Applied Physics and a Ph.D. in Physical Oceanography from
Harvard University. She can be contacted at
Mr Jean-Baptiste Migraine is a Junior Professional Officer working with the WMO DRR
Programme.
Global Observation of Forest and Land Cover Dynamics (GOFC-GOLD): monitoring and
early warning systems for wildland fire disaster reduction
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13. Potential products of a prototype early warning system were presented at the Group of Earth
Observation (GEO)-supported workshop on Requirements for Fire Early Warning Systems
in Africa, held at the University of Ghana (Legon) Accra, Ghana (Nov. 14-16, 2007).
14. Drought Code is a general indicator of long-term drying. It reflects the moisture content of
large, aboveground, dead vegetation fuels and deeper organic soil layers.
Acknowledgments
GOFC-GOLD is a Panel of the Global Terrestrial Observing System (GTOS), sponsored by
FAO, UNESCO, WMO, ICSU and UNEP. The GOFC-GOLD Secretariat is hosted by
Canada and supported by the Canadian Space Agency and Natural Resources Canada.
Other contributing agencies include GFMC, UMD, NASA, ESA, START and JRC. Further
information can be obtained at
Suggested further reading:
Van Wagner, C.E. 1987. Development and Structure of the Canadian Forest Fire Weather
Index System. Ottawa, ON, Can. For. Serv., Tech. Rep. 35.
The advanced fire information system
1. P.E. Frost, H. Vosloo, D. Davis3, S. Kumar, J. Decloites, & J. Schmaltz,
‘Development of an Advanced Fire Information System for Southern Africa’, De la Riva, J.,
Pérez-Cabello, F. & Chuvieco, E. (Eds) 2005 Proceedings of the 5th International Workshop
on Remote Sensing and GIS Applications to Forest Fire Management: Fire Effects Assessment:
161-166 Universidad de Zaragoza. ISBN: 84-96214-52-4
2. P. Frost, H. Vosloo, ‘Providing satellite-based early warning of fires to reduce fire flashovers
on South Africa’s transmission lines’, Life in a fire-prone environment: translating science into
practice. Proceedings of the 10th Biennial Australasian Bushfire Conference 2006.
Brisbane, 6-9 June 2006. Brisbane: Griffith University, In press.
Disaster monitoring using ASTER and PALSAR data
Further reading:Information on the Advanced Spaceborne Thermal Emission and
Reflection Radiometer is available at
Information on the Phased Array type L-band Synthetic Aperture Radar is available at
Information on ASTER is available at
Sentinel Asia: supporting disaster management in the Asia-Pacific region
1. ADRC- Natural Disasters Data Book, 2005
2.
Sea-level rise and vulnerable coastal populations
1.
2.
3. and
4. climate_monitoring_principles.htm
5. Acknowledgements
This paper is a contribution to the CSIRO Climate Change Research Program and the
CSIRO Wealth from Oceans Flagship and was supported by the Australian Government’s
Cooperative Research Centres Programme through the Antarctic Climate and Ecosystems
Cooperative Research Centre. JAC was partly funded by the Australian Climate Change
Science Program.
Acronyms
CryoSat-2 Second Cryospheric Satellite
GCOS Global Climate Observing System
GFO GeoSat Follow-on Satellite
GLONASS Global Orbiting Navigation Satellite System
GLOSS Global Sea Level Observing System
GNSS Global Navigation Satellite System
GOCE Gravity Field and Steady-State Ocean Circulation Explorer Satellite
GPS Global Positioning System
GRACE Gravity Recovery and Climate Experiment Satellite
ICESat Ice, Cloud, and Land Elevation Satellite
InSAR Interferometric Synthetic Aperture Radar
SLR Satellite Laser Ranging
Health
Applications of remote sensing technologies for monitoring human health
1. Global Fund Grant Commitments and Disbursements:
2.
3.
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5. Christophers, S. R. 1911. Malaria in the Punjab: Scientific memoirs, by officers of the medical
and sanitary departments of India. New Series: 46-197
Suggested further reading
Ceccato, P., Connor, S.J., Jeanne, I., Thomson, M.C., 2005. ‘Application of geographical
information system and remote sensing in malaria risk.’ Parassitologia 47: 81-96
Connor, S.J., Thomson, M.C. and Molyneux, D.H. (1999) Forecasting and prevention of
epidemic malaria: new perspectives on an old problem. In: The Malaria Challenge after one
hundred years of malariology. Parassitologia, 41: 439-448
DaSilva, J., Garanganga, B., Teveredzi, V., Marx, S. M., Mason, S. J., Connor, S. J. 2004.
‘Improving epidemic malaria planning, preparedness and response in Southern Africa.’
Malaria Journal: 3-37
Grover-Kopec, E. K., Blumenthal, M. B., Ceccato, P. N., Dinku, T., Omumbo, J., Connor, S.
J. (2006). ‘Web-based climate information resources for malaria control in Africa’. Malaria
Journal, 5:38
Haines, A., Patz, J. A. 2004. ‘Health effects of climate change.’ Journal of the American
Medical Association, 291: 99-103
Najera, J. A. 1999. Malaria control: achievements, problems and strategies. World Health
Organization WHO/CDS/RBM/99.10 126p
Omumbo, J., Connor, S. J. 2006. Web-based climate information resources
for malaria control in Africa. /Malaria Journal/, 5:38
Sachs, J. D., McArthur, J. W. 2005. ‘The Millennium Project: a plan for meeting the
Millennium Development Goals.’ Lancet, 365: 347
Thomson, M. C., Doblas-Reyes, F. J., Mason, S. J., Hagedorn, R., Connor, S. J., Phindela, T.,
Morse, A. P., Palmer, T. N. 2006: ‘Malaria early warnings based on seasonal climate
forecasts from multi-model ensembles.’ Nature 439: 576-579
WHO, 2001. ‘Macroeconomics and Health: Investing in Health for Economic
Development. Report on the Commission for Macro-Economics and Health.’ In Geneva :
World Health Organization, 213p.
WHO, 2002. ‘Strategic framework to decrease the burden of TB/HIV.’ In Geneva: World
Health Organization, 49p.
WHO, 2004. ‘Malaria epidemics: forecasting, prevention, early warning and control - From
policy to practice.’ In Geneva: World Health Organization, 59p
WHO, 2005. ‘Using climate to predict infectious disease epidemics.’ In Geneva: World
Health Organization, 54p
The importance of Earth observations in the assessment of Malaria, respiratory and ocular
diseases in South Asia
1.
2. Ibid.
3. ‘Climate Change and malaria in India’ Bhattacharya S., Sharma C., Dhiman R.C. & Mitra
A.P., Current Science, Vol. 90, Number 3, 2006, pp. 369-375.
4. World Health Organization (WHO), 2002. The World Health Report 2002: Reducing Risks,
Promoting Healthy Life. Geneva, Switzerland.
5. Health Effects Institute, 2004, Health Effects of Outdoor Air Pollution in Developing Countries
of Asia: A Literature Review. Special Report 15 ).
6. WHO, 1994 Acute effects of smog episodes, WHO regional publication, Copenhagen,
European series No. 43.
7. Working Group-II Report of the Fourth Assessment Report of Intergovernmental Panel on
Climate Change (IPCC AR4), 2007, Chapter 8, page 405.
8. ‘UVB Radiation Intensities over India and Changes during Decade’, R. Singh, R.S. Tanwar
& S. Singh, Global Change Report No. 22, Centre on Global Change, National Physical
Laboratory, New Delhi, India.
Energy
Space for solar energy
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3.
Winds of change from space
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resource assessment from C-band SAR. Remote Sensing of the Environment, 105, 68-81.
2. Christiansen, M.B.; Koch, W.; Horstmann, J.; Hasager, C.B.; Nielsen, M., (2006), Wind
resource assessment from C-band SAR. Remote Sensing of the Environment, 105, 68-81.
3. Collard, F.; Ardhuin, F. and Chapron, B., (2005), Extraction of Coastal Ocean Wave Fields
from SAR images. IEEE Journal of Oceanic Engineering, Vol 30.(3), 526-533.
4. Startford, P., (2007), Satcom promotes winds of change, The Journal of Offshore
Technology, 34-36.
Hasager, C.B.; Barthelmie, R.J.; Christiansen, M.B.; Nielsen, M.; Pryor, S.C., (2006),
Quantifying offshore wind resources from satellite wind maps: Study area the North Sea,
Wind Energy, 9, 63-74.
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