Climate and environmental monitoring for decision making

As human populations grow, so do the resource demands imposed on ecosystems and the impacts of our global footprint. Natural resources are not invulnerable, nor infinitely available. The environmental impacts of anthropogenic actions are becoming more apparent – air and water quality are increasingly compromised, pests and diseases are extending beyond their historical boundaries, and deforestation is exacerbating flooding downstream and loss of biodiversity. Society is increasingly becoming aware that ecosystem services are not only limited, but also that they are threatened by human activities. The need to better consider long-term ecosystem health and its role in enabling human habitation and economic activity is urgent. In this context IRI conducts research to understand the impact of climate and environmental changes on different sectors including agriculture, water management, human health, and natural disasters. Through exhaustive, rigorous evaluation, analysis and interpretation of remotely-sensed products and in-situ measurements, IRI ensures its partners have access to the most reliable and relevant information about the climate and environment in a format that best informs their decision making and planning. We focus on monitoring satellite-derived and in-situ estimates of precipitation, temperature, vegetation, water bodies, evapotranspiration, and land cover. Ultimately, the new products developed at IRI in partnership with other institutions at national (e.g. NOAA, NASA, USGS) and international (e.g. National Meteorology Agencies, UN FAO) levels are integrated into operational early-warning systems for health, natural disasters, agriculture, and food security. The new products which monitor in almost real-time climate and environmental conditions are made available through two online data bases at IRI called IRI Data Library and Map Room. In this paper we present the products developed at IRI and how they are integrated into Early Warning Systems (EWS). We also discuss IRI’s experience in linking EWS into decisions and policies using the fire early warning system as a concrete example.

[1]  Alvy Ray Smith,et al.  Color gamut transform pairs , 1978, SIGGRAPH.

[2]  S. H. Chasen,et al.  Proceedings of the 5th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 1978, Atlanta, GA, USA, August 23-25, 1978 , 1978, SIGGRAPH.

[3]  C. Ropelewski,et al.  Global and Regional Scale Precipitation Patterns Associated with the El Niño/Southern Oscillation , 1987 .

[4]  David A. Hastings,et al.  Global Land One-kilometer Base Elevation (GLOBE) , 1993 .

[5]  T. McKee,et al.  THE RELATIONSHIP OF DROUGHT FREQUENCY AND DURATION TO TIME SCALES , 1993 .

[6]  J. U. Hielkema,et al.  Operational use of environmental satellite remote sensing and satellite communications technology for global food security and locust control by FAO: The ARTEMIS and DIANA systems , 1994 .

[7]  M. Claussen,et al.  The atmospheric general circulation model ECHAM-4: Model description and simulation of present-day climate , 1996 .

[8]  R. G. Healey,et al.  A GIS for Desert Locust Forecasting and Monitoring , 1996, Int. J. Geogr. Inf. Sci..

[9]  S. Page,et al.  The amount of carbon released from peat and forest fires in Indonesia during 1997 , 2002, Nature.

[10]  C. O. Justicea,et al.  The MODIS fire products , 2002 .

[11]  M. Kanamitsu,et al.  NCEP–DOE AMIP-II Reanalysis (R-2) , 2002 .

[12]  S. Tarantola,et al.  Designing a spectral index to estimate vegetation water content from remote sensing data: Part 1 - Theoretical approach , 2002 .

[13]  V. Gond,et al.  Surveillance et cartographie des plans d'eau et des zones humides et inondables en régions arides avec l'instrument VEGETATION embarqué sur SPOT-4 , 2004 .

[14]  M C Thomson,et al.  Application of Geographical Information Systems and Remote Sensing technologies for assessing and monitoring malaria risk. , 2005, Parassitologia.

[15]  P. Ceccato,et al.  Operational Early Warning System Using SPOT-VEGETATION and TERRA-MODIS to Predict Desert Locust Outbreaks , 2005 .

[16]  J. L. Parra,et al.  Very high resolution interpolated climate surfaces for global land areas , 2005 .

[17]  Pietro Ceccato,et al.  Use of Remote Sensing for Monitoring Climate Variability for Integrated Early Warning Systems: Applications for Human Diseases and Desert Locust Management , 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

[18]  I. Brown,et al.  Monitoring fires in southwestern Amazonia Rain Forests , 2006 .

[19]  P. Ceccato,et al.  Innovations in Climate Risk Management: Protecting and Building Rural Livelihoods in a Variable and Changing Climate , 2007 .

[20]  C. Ropelewski,et al.  Validation of satellite rainfall products over East Africa's complex topography , 2007 .

[21]  A. Barnston,et al.  Malaria stratification, climate, and epidemic early warning in Eritrea. , 2007, The American journal of tropical medicine and hygiene.

[22]  Pietro Ceccato,et al.  The desert locust upsurge in West Africa (2003 – 2005): Information on the desert locust early warning system and the prospects for seasonal climate forecasting , 2007 .

[23]  Christelle Vancutsem,et al.  Mean Compositing, an alternative strategy for producing temporal syntheses. Concepts and performance assessment for SPOT VEGETATION time series , 2007 .

[24]  Pietro Ceccato,et al.  Perspectives on using remotely-sensed imagery in predictive veterinary epidemiology and global early warning systems. , 2007, Geospatial health.

[25]  J. Randerson,et al.  Climate controls on the variability of fires in the tropics and subtropics , 2008 .

[26]  J. Randerson,et al.  Agricultural intensification increases deforestation fire activity in Amazonia , 2008 .

[27]  M. Cochrane,et al.  Synergisms among Fire, Land Use, and Climate Change in the Amazon , 2008, Ambio.

[28]  Daniel E. Osgood,et al.  Index insurance and climate risk: prospects for development and disaster management , 2009 .

[29]  P. Ceccato,et al.  Introduction to Remote Sensing for Monitoring Rainfall, Temperature, Vegetation and Water Bodies , 2010 .

[30]  Ning Zeng,et al.  An Atlantic influence on Amazon rainfall , 2010 .

[31]  Y. Shimabukuro,et al.  The Incidence of Fire in Amazonian Forests with Implications for REDD , 2010, Science.

[32]  David G. DeWitt,et al.  Verification of the First 11 Years of IRI’s Seasonal Climate Forecasts , 2010 .

[33]  P. Ceccato,et al.  Evaluation of MODIS land surface temperature data to estimate air temperature in different ecosystems over Africa , 2010 .

[34]  Pietro Ceccato,et al.  Evaluating Detection Skills of Satellite Rainfall Estimates over Desert Locust Recession Regions , 2010 .

[35]  Christelle Vancutsem,et al.  Monitoring air and Land Surface Temperatures from remotely sensed data for climate-human health applications , 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

[36]  Stephen J. Connor,et al.  Health and Climate–Needs , 2010 .

[37]  Managing Peatland Fire Risk in Central Kalimantan, Indonesia , 2011 .

[38]  Abere Mihretie,et al.  Africa needs climate data to fight disease , 2011, Nature.

[39]  Pietro Ceccato,et al.  Challenges of satellite rainfall estimation over mountainous and arid parts of east Africa , 2011 .

[40]  Dong Eun Lee,et al.  North Tropical Atlantic influence on western Amazon fire season variability , 2011 .

[41]  Christelle Vancutsem,et al.  Development and Application of Multi-Temporal Colorimetric Transformation to Monitor Vegetation in the Desert Locust Habitat , 2011, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[42]  Christelle Vancutsem,et al.  A Vectorial Capacity Product to Monitor Changing Malaria Transmission Potential in Epidemic Regions of Africa , 2012, Journal of tropical medicine.

[43]  S. Herzog,et al.  Five-tiered integrated climate- related biodiversity vulnerability assessment in the Tropical Andes , 2012 .

[44]  M. Thomson,et al.  Climate information for public health: the role of the IRI climate data library in an integrated knowledge system. , 2012, Geospatial health.

[45]  P. Ceccato,et al.  Effects of increase in temperature and open water on transmigration and access to health care by the Nenets reindeer herders in northern Russia , 2013, International journal of circumpolar health.

[46]  M. Pascual,et al.  Long-lasting transition toward sustainable elimination of desert malaria under irrigation development , 2013, Proceedings of the National Academy of Sciences.

[47]  Jocelyn Chanussot,et al.  Identification of agricultural crops in early stages using remote sensing images , 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

[48]  P. Ceccato,et al.  Actual evapotranspiration in drylands derived from in-situ and satellite data: Assessing biophysical constraints , 2013 .

[49]  D. R. Carrascal,et al.  Adaptation strategies to climate change in the Tropics: analysis of two multifactorial systems (high-altitude Andean ecosystems and Plasmodium falciparum malaria infections) , 2013 .

[50]  Jonas Ardö,et al.  Relation between Seasonally Detrended Shortwave Infrared Reflectance Data and Land Surface Moisture in Semi-Arid Sahel , 2013, Remote. Sens..