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EUMETCast - GEONETCast

GEONETCast-DevCoCast Application Manual

Introduction

This application manual is the result of a two weeks tailor made advanced training course project, conducted in the framework of the DevCoCast at the Faculty ITC of the University of Twente, in Enschede, The Netherlands in February 2011.

Over 30 participants from various African, Latin American and European Universities, (Space) Research and Training Centres and European – African International Collaboration Projects have participated in this course. Most participants have been attending previous workshops and other short training courses which have been conducted in the framework of the DevCoCast project in Africa, some in conjunction with AMESD, and Latin America. After having acquired a sound subject working knowledge by the participants, the main objective of this advanced course was to develop applications, demonstrating the use of the data disseminated via GEONETCast, a dissemination system using telecommunication satellites (broadcast), and more specifically those from the DevCoCast channel, within this system.

After an introductory chapter, describing the GEONETCast system and the role of the DevCoCast project, various chapters highlight applications developed by the participants during the course, using where possible in situ observations and linking these to the processing and analysis of various remote sensing images and derived products. Application fields covered range from vegetation, biomass and different types of agricultural assessments, natural habitat conservation, insect and pest monitoring, rainfall and evapotranspiration estimation, hot spot and fire detection, drought monitoring and even some marine applications are included. Study areas selected are from South America, Eastern and Southern Africa.

The overall objective of this manual is not only to demonstrate the advantage of using freely available data, disseminated via the low cost and highly reliable GEONETCast system, but also to make available a set of exercises that can be used within the curricula of Institutes for Higher Education within various disciplines or by interested individuals.

The chapters describe the various (pre-) processing and analysis steps in a structured manner following a clearly described methodology for different application domains and their order has been randomly prepared. Powerpoint presentations are available to further underpin the described methodology and to illustrate the exercise outcome. To conduct the exercises, ILWIS372 needs to be installed as well as the so-called “GEONETCast toolbox” plug-in. Both utilities can be freely obtained and downloaded from http://52north.org, together with a user manual for installation and first time use.

All related materials – the full manual, supporting powerpoint presentations, but also the sample data sets for all exercises, ensuring minimum compressed file size have been prepared and can be downloaded from ftp://ftp.itc.nl/pub/52n/gnc_devcocast_applications/.

It is hoped that this document and the exercises it contains helps to further integrate the data delivered via GEONETCast and DevCoCast into the user community day-to-day practice. If you are interested in submitting a new exercise on your own application domain, feel free to contact the editors of this application manual.

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Application Manual


Full document Application manual (PDF 10.3 MB)  
Application manual (ch. 1, 7, 8, 9) - Spanish (3.88 MB)
Application manual (ch. 1, 2, 3, 4, 5, 6) - Portuguese (5.58 MB)
Table of Contents only (PDF 484 KB) 
Table of Contents only - Spanish (436 KB)
Table of Contents only - Portuguese (260 KB)
 The Application manual will be updated as soon as new exercises become available.

 

Chapters of the Application Manual, data and powerpoints


1. Introduction to GEONETCast and the DevCoCast project
By: Cesar de Mello, Matthew Medland, Mike Grant and Tim Jacobs
Description (PDF) | Description in Spanish (PDF) | Description in Portuguese (PDF)
Powerpoint (PPT) | Powerpoint as ZIP

2. Aboveground biomass quantification for natural grasslands in the pampa biome
By: Eliana Lima da Fonseca; Charles Tebaldi; Adriana Ferreira da Costa Vargas and Vicente Celestino Pires Silveira
Objective: The main objective of this study is the quantification of the aboveground biomass production for the natural grassland of the Pampa biome using NDVI data calculated from images acquired by SPOT-Vegetation instrument.
Exercise description (PDF) | Exercise description in Portuguese (PDF)
Exercise data (ZIP)
Powerpoint (PPT) | Powerpoint as ZIP

3. Crop monitoring
By: André Souza and Agmom Rocha
Objective: Using vegetation indices derived from SPOT-VEGETATION instrument to monitoring and identify agricultural areas with temporary (like maize, rice, soybeans, sugarcane) and permanent (coffee) crops as well as reforestation.
Exercise description (PDF) | Exercise description in Portuguese (PDF)
Exercise data (ZIP)
Powerpoint (PPT) | Powerpoint as ZIP

4. Estimation of evapotranspiration in Minas Gerais state, Brazil
By: Elizabeth Ferreira, Antonio Augusto Aguilar Dantas, Alfredo Gabriel Garcia
Objective: The objective of this application is to estimate daily Evapotranspiration (ET) using the Surface Energy Balance System (SEBS) Model to know the ET pattern over irrigated areas by center pivots, in MG State, Brazil using ILWIS and the GEONETCast Toolbox with data obtained through GEONETCast and DevCoCast. Since the Land Surface Analysis Satellite Application Facility (LSA SAF) also provides an ET product (SAF ET), the estimated ET calculated using the SEBS model and the SAF ET product are also compared.
Exercise description (PDF) | Exercise description in Portuguese (PDF)
Exercise data (ZIP)
Powerpoint (PPT) | Powerpoint as ZIP

5. Assessing vegetation coverage at the Sao Paulo state scale: “A tool for aiding the decision making process”
By: Fabio Enrique Torresan
Objective: The main objective for this application is to assess the vegetation coverage at the municipalities from the Sao Paulo State (Brazil) using data from a temporal set of S10 NDVI images, acquired by SPOT Vegetation instrument, which are available from the DevCoCast project. After the validation of this methodological approach in a near future, it would be useful to implement a monitoring system using the vegetation cover and make it available to decision makers and for the society.
Exercise description (PDF) | Exercise description in Portuguese (PDF)
Exercise data (ZIP)
Powerpoint (PPT) | Powerpoint as ZIP

6. A GIS approach using remote sensing derived products for quantification of sugar cane productivity in Brazil
By: Diego Rocha, Humberto Barbosa and Leandro da Silva
Objective: The general objective of this application is to increase the role of crop modelling applications for estimating sugarcane productivity in Brazil by incorporating satellite remote sensing products to evaluate estimation of productivity of sugar cane crops. A number of tailored and GIS-compatible products are generated and integrated to quantify sugar cane productivity.
Exercise description (PDF) | Exercise description in Portuguese (PDF)
Exercise data (ZIP)
Powerpoint (PPT) | Powerpoint as ZIP

7. Development of a tool to monitor crop growth and grain yield
By: Antonio de la Casa and Gustavo Ovando
Objective: This application proposes to develop a semi-operational procedure to estimate corn and soybean yield in Cordoba Province, Argentina. The procedure will be implemented in a regional framework making use of different ILWIS routines to calculate FAO Model productivity components, with NDVI data from MODIS satellite, and local (in situ) field information.
Exercise description (PDF) | Exercise description in Spanish (PDF)
Exercise data (ZIP)
Powerpoint (PPT) | Powerpoint as ZIP

8. Aboveground Net Primary Productivity estimation of Pampa grasslands using MODIS and GOES data
By: Piedad M. Cristiano, María Eugenia Beget , Carlos Di Bella, Gabriela Posse and Tomás Hartmann
Objective: In order to provide a useful tool in the calculation of feed balances for fields of the Pampas Region, the overall objective of this exercise is to generate the Aboveground Net Primary Productivity (ANPP) map using the efficiency model as proposed by Kumar and Monteith (1982). Particular objective of this exercise is furthermore to compute the annual ANPP for 2007.
Exercise description (PDF) | Exercise description in Spanish (PDF)
Exercise data (ZIP)
Powerpoint (PPT) | Powerpoint as ZIP

9. Estimation of evapotranspiration from remote sensing and meteorological data using the method proposed by Jackson
By: Alfredo G. García, Carlos M. Di Bella and Tomás Hartmann
Objective: In order to provide a useful tool in the calculation of water balances for fields of the central region of Argentina, the overall objective of this exercise is to provide a procedure for the estimation of evapotranspiration (ET) for clear sky conditions, combining information derived from remote sensing in conjunction with meteorological data.
Exercise description (PDF) | Exercise description in Spanish (PDF)
Exercise data (ZIP)
Powerpoint (PPT) | Powerpoint as ZIP

10. From cloud top temperature to rainfall; blending MSG and TRMM
By: Ben Maathuis
Objective: Making use of TRMM rain rates to calibrate Meteosat Cloud Top Temperature (10.8 micron band) and transform a time series of MSG cloud top temperature images into Precipitation.
Exercise description (PDF)
Exercise data (ZIP)
Powerpoint (PPT) | Powerpoint as ZIP

11. Application of a combined daily rain gauges and rainfall satellite estimates scheme for basin management
By: Daniel Vila and Cesar Luis Garcia
Objective: Provide a tool and a source of hydro-meteorological data to scientists, resource managers, the general public and private decision makers. Therefore a blended product is developed based on the Hydro-estimator algorithm and daily rain gauge values using the Combined Scheme (CoSch) technique. Daily catchment information is calculated like: mean areal rainfall, maximum precipitation, percentage of the catchment with more than 1 mm, conditional precipitation, etc. This method can be applied to a region of interest.
Exercise description (PDF) | Exercise description in Spanish (PDF) | | Exercise description in Portugese (PDF)
Exercise data (ZIP)
Powerpoint (PPT) | Powerpoint as ZIP

12. Development of tools for dynamic monitoring of insect populations
By: Mariano P. Grilli and Raquel M. Gleiser
Objective: To develop tools to assess adequate environmental conditions for insect development based on satellite imagery products:
  • Mariano P. Grilli focuses on the development of a tool for dynamic monitoring of an agricultural insect vector (plant hoppers affecting maize) in Córdoba – Argentina
  • Raquel M. Gleiser focuses on the development of a tool for dynamic monitoring of mosquito larval habitat availability in Córdoba – Argentina
Powerpoint (PPT) | Powerpoint as ZIP

13. Eco-climatic condition and trends on protected areas of the IGAD region
By: Eugene Kayijamahe and M. Njoki Kahiu
Objective: To determine whether there have been changes in vegetation growth in the IGAD region (Eastern Africa) using rainfall pattern and vegetation indices and to assess the intra/inter annual trends for vegetation conditions using low resolution vegetation indices.
Powerpoint (PPT) | Powerpoint as ZIP

14. Remote sensing applications for advanced drought services: Linking models with in-situ crop conditions
By: F. Kuri and I. Gwitira
Objective: The aim is to develop (a) method(s) for relating remotely sensed drought indices from GEONETCast data with in-situ measurements/indicators, especially the relationships between the number of dry decades and vegetation condition index (VCI) and in-situ drought related crop condition and crop yield as a way to quantify and forecast the effect of drought on crop - and rangelands.
Powerpoint (PPT) | Powerpoint as ZIP

15. An automated procedure using a multi-temporal threshold algorithm for forest fire detection using MSG satellite
By: Tawanda Manyangadze and John Molefe
Objective: To develop a near real time automated procedure using a multi-temporal threshold algorithm for forest fire detection using the MSG satellite.
Powerpoint (PPT) | Powerpoint as ZIP

16. Application of remote sensing to monitor agricultural performance
By: Farai M. Marumbwa and Masego R. Nkepu
Objective: To develop a method that allows agricultural managers to conduct an up-to-date assessment of the current growing conditions using remote sensing data.
Powerpoint (PPT) | Powerpoint as ZIP

17. Ocean colour measurements of the productivity in the Benguela current large marine ecosystem
By: Deon Louw and Valborg Byfield
Objective: Analysis and comparison of a high and low productivity period (summer and winter of 2009) in the Benguela LME using DevCoCast broadcast Ocean Color and SST and relating these to in-situ data collected on chlorophyll-a and temperature data.
Exercise description (PDF)
Exercise data (ZIP)
Powerpoint (PPT) | Powerpoint as ZIP

18. Using sea surface temperature to assess coral bleaching risk
By: Yohanna Shaghude and Valborg Byfield
Objective: Investigate the trends in sea surface temperature (SST) from satellite platforms for the purpose of predicting coral bleaching “Hot Spots” along the coast of Tanzania.
Exercise description (PDF)
Exercise data (ZIP)
Powerpoint (PPT) | Powerpoint as ZIP

19. Land degradation assessment model for the IGAD region: Case study of Kenya
By: Lawrence Okello and Vincent Mtaroni
Objective: To develop a model that assists in assessing and monitoring potential areas susceptible to land degradation making use of available environmental multi-temporal satellite data from GEONETCast/ DevCoCast in support of policy making for combating land degradation at regional level.
Powerpoint (PPT) | Powerpoint as ZIP

20. Time series analysis for drought monitoring
By: Antoine Royer, Carolien Tote, Sven Gilliams, Lieven Bydekerke and Tim Jacobs
Objective: Use of remote sensing low resolution NDVI, small water bodies and TAMSAT RFE data (derived from SPOT VGT and METEOSAT) in conjunction with land cover and administrative maps for vegetation status anomaly frequency analysis.
Powerpoint (PPT) | Powerpoint as ZIP

21. Determining rainfall erosivity from geostationary satellites
By: Chris Mannaerts
Objective: To demonstrate the use of geostationary satellite data to obtain spatial and temporal rainfall erosivity distributions over large areas. A method is presented to generate an instantaneous erosivity image by using the kinetic energy - rainfall intensity approach at a certain time observation point. Subsequently, daily rainfall erosivity estimates can be derived by aggregating the kinetic energy and maximum 30-min. rainfall intensity images.
Powerpoint (PPT) | Powerpoint as ZIP

 

 

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DevCoCast Advanced course participants / contributors to the Application manual.