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http://www.iemss.org/society/index.php/iemss-2014-proceedings

Use of near real time Earth Observation data

infrastructures and open source tools for Water

Resources Monitoring and Assessment

Chris M. Mannaerts1 (c.m.m.mannaerts@utwente.nl), Ben H.P. Maathuis1 and Petra E.Budde2 1

Department of Water Resources, 2Department of Earth Observation Science, Faculty of Geo-information Sciences & Earth Observation (ITC), University of Twente, Enschede, the Netherlands

Abstract: Since several years, a rapid and ever increasing public use of geo-information data derived from earth observation satellites is noted. The use of Google and Microsoft Virtual Earth engines can be seen as generic examples of this trend. For hydrology, water resources research and professional practice, we also note a growing availability of earth observation (EO) data and products, needed for operational land and water management. Many of these data are public domain and made freely available using low-cost global data dissemination infrastructures like GEONETCast, managed by the spaces agencies EUMETSAT and NOAA amongst others, within the context of the GEOSS framework. Also web-based data provision and servicing is increasing. Today, a multitude of software packages can be legally downloaded and used with little restrictions, including source code access. The near real time and open access aspect of many satellite datasets make their use and application for land and water resources motivating. This short paper shows the use of near real time satellite and in-situ data, coupled to an open source geospatial analysis system. The versatility of the open toolbox concept is shown using a number of project-based applications for water resources, food security and weather. The public domain nature of both the EO data and geospatial software permit the water and climate community to develop applications of choice at user-defined spatial scale, ranging from regional and country level to river basin and small catchment or field-scale.

Keywords: earth observation, water resources, food security, open source, ILWIS

1 INTRODUCTION

1.1 Satellite and in-situ data receiving infrastructure and framework

Near real-time satellite observation capabilities have significantly improved in recent years by data infrastructures such as GEONETCast, the global satellite and in situ data dissemination system of GEOSS, the emerging Global Earth Observation System of Systems, an initiative and global framework led by the Group on Earth Observation (GEO, 2005; Mannaerts et al, 2009). GEONETCast permits open and free data reception through a global network of communication satellites, and provides near real-time earth observation and environmental data and derived products. This DVB-S (and DVB-S2) digital video broadcasting by small satellites is emerging rapidly as a very effective way for persons around the globe to receive satellite and environmental data and geo information instantaneously (Fig.1).

Hardware to connect to the system can be assembled from standard off-the-shelf components and are typically composed of a DTV (digital television) reception satellite dish (e.g. C-band) linked to a standard PC or laptop. Different space agencies and organisations (NOAA, EUMETSAT and CMA) are involved in managing the system within the GEO framework. More details on satellite data and products can be found in the “Product Navigator”, available from EUMETSAT (http://www.eumetsat.int).

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Next to the DVB-S/S2 data reception, today also several web-based or ftp/http data servers are accessible and provide 3-hr delayed near real time (e.g. global precipitation) and other satellite data sets. In countries with fast internet transfer rates, these data are easily accessible. This mode of data transfer is however still prohibitive in many countries with poor internet connectivity and hampers scientists and the public to access the information and develop own data applications.

1.2 Open Data analysis tools

Once the access to satellite or other in-situ or meteorological forecast model data has been solved, the issue of data decoding, import and further analysis arises. With more than 200 different data sets from different providers available in GEONETCast, a multitude of data formats is used for various data types and transfer modes. To solve this challenge, a GEONETCast Toolbox approach was conceived and developed at ITC, permitting easy assimilation of the data into a common and compact open source RS/GIS platform (Maathuis et al, 2008).

The GEONETCast Toolbox was conceived as software plug-in of ILWIS Open. ILWIS or the Integrated Land & Water Information System is an open source geospatial analysis software which combines image processing with raster and vector data handling capabilities. For an overview of its remote sensing and GIS functionality, we refer to (ITC, 2001)and the 52north.org (www.52north.org) website for download and information on new releases. The ILWIS GEONETCast Toolbox plug-in enables direct import and management of several GEONETCast satellite data streams and supports their subsequent processing using ILWIS or other geospatial analysis systems. The software design principles of the toolbox were an easy operability, open source a/o freeware software components and an interface, adaptable by the users to their own selected data streams, data analysis, processing needs and information dissemination requirements, like e.g. web mapping services. The toolbox setup and key features are shown in Figure 2.

The three key features of the ITC GEONETCast Toolbox can be described as follows:

Satellite data reception & archiving

 Data reception via DVB-S GEONETCast reception or ftp download

 Global geographical coverage combining EUMETCast Europe & Africa, GEONETCast Americas & CMACast (Asia) services

 Selective archiving according user preferences e.g. satellite, data, time of storage using a build-in Data Manager (Fig. 3)

Image processing & geospatial data analysis

 ILWIS Open v.3.7.2 (and higher v.3.8) with full image analysis - GIS functionality with vector, raster, database functions, geospatial modelling;

 Build-in satellite data retrievers for global geostationary weather satellite constellation

Figure 1: GEONETCast data dissemination system global coverage © EUMETSAT

Figure 2: The ITC GEONETCast Toolbox approach, ingesting multiple satellite data sources in an open source geospatial analysis system

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 Time series plug-in for handling temporal data sequences

 Multiple data reader and format routines for i.e. BUFR, GRIB, netCDF, GeoTIFF, NAS, HDF and other formats using GDAL Geospatial Data Library routines and freeware tools

 Toolbox open sample library (with data processing routines) Spatial Data Visualization

 Build-in WMS or web-based mapping services

 WPS or web processing service client plug-in

 Advanced visualization capacity e.g. space - time cubing (Kraak et al., 2005), available in Ilwis Open v3.8.2 and higher.

The ILWIS Open geospatial analysis software permits to combine image processing with raster and vector data handling, using a high geo referencing accuracy. The software also contains extended projection and data format exchange libraries.

Because of its open design, an ILWIS user (v.3.7 and higher) can create and develop his own personalized Toolbox plug-in, based on GEONETCast near real time satellite data and/or other (web-based) input data. This concept is currently being applied in several research cooperation and development projects with partners in Africa, Latin America and Asia. A few use cases related to water resources monitoring, food security, weather and climate are described below.

2 USE CASES

2.1 GEONETCast for Water & Food Security – Ethiopia

In the GEONETCast for Water & Food Security project in Ethiopia, near real time satellite data received via GEONETCast are used in the food security early warning process. The different satellite datasets i.e., rainfall, evapotranspiration, soil moisture, vegetation cover together with in-situ station weather observations and forecasts are processed using ILWIS Open software. Figure 4 shows some samples of GEONETCast data used in Ethiopia. In the project, agricultural drought prediction and assessment is achieved using the proven WRSI or water requirement satisfaction index and crop yield reduction concepts. The higher spatial and time resolution which can be achieved with the near real time GEONETCast data and technology are one of the main assets of the Water & Food Security Toolbox – Ethiopia analysis system.

The information retrieved from earth observation and in-situ data are then Figure 3: The Global GEONETCast Toolbox Plug-in (main Window

view)

Figure 4: GEONETCast near real time data for Food Security and Early Warning - Ethiopia

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directly assimilated in the Livelihood Early Assessment Program or LEAP tool used by the UN-World Food Program. This geospatial analysis tool was especially developed to determine numbers of people affected by agricultural drought, food shortage and famine in Ethiopia. With the aid and timeliness of the GEONETCast data, this tool now permits to provide more accurate estimates of affected populations at risk at the district level in Ethiopia. Over 900 districts can be individually targeted by the process, permitting a more reliable and geospatially explicit analysis and decision making by the authorities, int’l agencies and players involved in food security. In case of a confirmed drought alert and people affected by acute food shortage and possible famine, the Ethiopian government agencies together with WFP can initiate the relief process using mechanisms such as the PSNP or Production Safety Net and Household Asset Building Program (Sandford et al, 2011) and others. The GNC4WFS Ethiopia pilot project can be seen as a test bed and use case of earth observation and geospatial technology benefitting societal needs in a large country and region with recurrent food security risk.

2.2 Weather forecasting by Hydrological & Meteorological Services

Real time meteorological data are also disseminated within the GTS (Global Telecommunication System of the WMO - World Meteorological Organization) data component of GEONETCast. They can be used by the National Weather Services and also contain the global meteorological model and Integrated Forecasting System data produced by the WMO affiliated weather forecasting centers (e.g. NOAA/NWS/NCEP, ECMWF). These data typically present complex and multilayered (e.g. geopotential height) data in large quantities and for a multitude of surface and atmospheric variables. In joint cooperation with some national

African weather services, also open data readers and visualization tools are currently being developed. Figure 5 shows an example visualization of weather forecast data for the Horn of Africa region. This work is a joint effort with the Ethiopian Meteorological Agency. Intended use is here improved early warning for water and food security and weather-based risk insurance in the region. The ILWIS user is in full command of designing the display background, colors and window size, scale and coordinate or projection system.

2.3 Regional drought, Agricultural Forecast and Fire monitoring Services – SADC region

Within the framework on a European

-African Union joint cooperation project AMESD (2008-2012), the ILWIS toolbox concept was used to create a regional toolbox for the SADC (South African Development Community) countries focusing on three thematic areas: drought monitoring and seasonal forecasting, agricultural crop status and fire hazard.

This EO monitoring data service was successfully developed by an international project team led by the BMS (Botswana Meteorological Service) and ITC. This SADCC Earth Observation Service and is now currently operational and disseminated in near real time by the EUMETCast as a third party dataset. As shown in Figure 6, a regional Toolbox plug-in was entirely made as an ILWIS Plug-in and can be used to access the disseminated geo information products (Maathuis et al, 2013).

Figure 5: Meteorological Data Viewing in ILWIS (example of ECMWF European Centre IFS Model forecast for 05-Feb-2014 1200 UTC for the Horn of Africa; surface pressure contours, wind speed and direction at different geopotential heights)

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Figure 6: AMESD-SADC Toolbox for regional Drought, Agriculture and Fire hazard risk monitoring in the Southern African Development Community Countries

2.4 Water Resource Monitoring and Assessment

Several satellite data streams can be integrated in a spatial analysis to derive hydrological or water resources information at basin or catchment scale. Satellite precipitation, evapotranspiration, soil moisture amongst others can be used for the purpose. ILWIS contains several hydrological functionalities: digital terrain analysis and catchment hydrological parameter extraction, land use - land cover image processing - classification, a surface energy balance module for evapotranspiration computations and more. Its geographic data handling permits to combine spatial and hydrological data at different spatial scales. This ranges from small regions of interest to large river basins or global area mapping. In the new Ilwis Open versions, a Post GIS module is being implemented to improve relational data queries and analysis. Figure 7 shows an evapotranspiration (ET) estimate based on the build-in SEBS surface energy balance system model (Su, 2002), using Meteosat - MSG geostationary satellite and ECMWF surface data. The SEBS module permits to produce evapotranspiration estimates at user-defined spatial resolution and determined by the pixel resolution of the satellite and spatial correlation length of the meteorological data sources used.

Figure 7: Estimation of ET (daily evapotranspiration in mm/hour) over the Zambezi basin using the SEBS model, driven by Meteosat-9 satellite and ECMWF surface data

Current development with research partners is now focusing on developing quantitative methods to improve water resource accounting at the basin scale. The water resource accounting framework (Molden, 1997) would benefit from EO use for improved spatial assessment. Although research work is still underway, the development of an operational satellite-based Water Resource Accounting system seems promising with the current constellation of satellites and in-situ data available to the science community and public.

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3 CONCLUSIONS AND RECOMMENDATIONS

Vast amounts of open access and near real time satellite data are today available to the research communities and public. The open source software tools and utilities described in this paper facilitate the community to make use of this increased provision of free satellite and other environmental data. Selection between internet data download or use of the GEONETCast DVB-S based data dissemination system is possible. A compact Remote Sensing and GIS software tool ILWIS Open permits efficient image data processing and analysis. The plug-in extension concept implemented in the software permit users to develop own software components (Toolboxes) and develop their own data applications. This technology has raised significant interest in scientific communities, as well as in professional and public organizations such as operational National Hydrological, Meteorological and Agricultural services and private sector service companies.

NOTATIONS AND ACRONYMS

DVB-S Digital Video Broadcasting by Satellite

ECMWF European Centre for Medium-range Weather Forecasts (EU) EUMETSAT European Organization for Exploitation of Meteorological Satellites GEO Group on Earth Observation

GEOSS Global Earth Observation System of Systems ILWIS Integrated Land & Water Information System

NOAA National Oceanic and Atmospheric Administration (US)

NWS/NCEP National Weather Service / National Centres for Environmental Prediction (US)

REFERENCES

GEO, 2005. Group on Earth Observations: “Ten year implementation plan (2005-2015)”, GEO Doc., ESA Publication Division, ESTEC, the Netherlands, 2005.

ITC - Unit Geo Software Development, 2001. ILWIS 3.0 Academic User Guide. International Institute for Geo-Information Sciences and Earth Observation (ITC), Enschede, the Netherlands.

Kraak, M.J. and Koussoulakou, A., 2005. A Visualization Environment for the Space-Time-Cube. In Developments on Spatial Data Handling (Ed. P.Fisher) Proc.11th Symposium on Spatial Data Handling, Springer Verlag Publishers, Berlin Heidelberg, NY. ISBN 3-540-22610-9.

Maathuis, B.P.M., Mannaerts, C.M. and Retsios, B. “The ITC GEONETCast - toolbox approach for less developed countries”. ISPRS 2008: Proceedings of the XXI congress: Silk road for information from imager, 3-11 July, Beijing, China, ISPRS, 2008. pp. 1301-1306.

Maathuis, B.H.P., Mannaerts, C.M., Retsios, B., Schouwenburg, M., Lemmens, R., 2013.

GEONETCast Toolbox: Installation, Configuration and User Guide of the GEONETCast Plug-in for Ilwis 3.7.2 XML v.1.3. www.itc.nl : Faculty ITC, University of Twente, Enschede, NL.

Mannaerts, C.M., Maathuis, B.H.P., Molenaar. M. and Lemmens, R., 2009. The ITC GEONETCast toolbox: a GEO Capacity Building component for education and training in global earth observation and geo information provision to society. In: IGARSS 2009: Proceedings of the 2009 IEEE Int’l Geoscience and Remote Sensing Symposium: 2009, Cape Town, SA ISBN 978-1-4244-3395-7. Molden, D., 1997. Accounting for Water Use and Productivity. SWIM Paper 1, IWMI - Int’l Water Management Institute, PO Box 2075, Colombo, Sri Lanka.

Sandford, J. & Hobson, M., 2011. Leaving No-one Behind. Ethiopia’s Productive Safety Net & Household Asset Building Programme. Ed.: Collony, D. © World Bank.

Su, Z., 2002. The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes. Hydrology and Earth System Sciences, 6(1), 85-99, 2002.

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