Towards A Drought Monitoring System for El Salvador

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Description of the first steps of MARN for the stablishment of an automated monitoring system for drought, specifically the monitoring of soil moisture.

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  • Buenas tardes Sr. Martinez, great presentation about your approach to developing an automated drought monitoring tool. Curious if MARN has a public portal for accessing data in shapefile format? Could you direct me to the right person to contact about accessing GIS data? Gracias!
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Towards A Drought Monitoring System for El Salvador

  1. 1. Towards A Drought Monitoring System for El Salvador Automation of Soil Moisture Estimation using Open Source Tools, Development of Web Mapping Application and Android Mobile Application for The Salvadoran Ministry of Environment (MARN) By David Eliseo Martínez Castellanos Software Developer
  2. 2. Background • MARN El Salvador publishes periodically a bulletin about crop condition and agro-meteorological information including a map of estimated soil moisture. • This map of estimated soil moisture is done by an agroclimatic expert and a GIS tech. • MARN required the automation of the generation of this map as part of a new drought monitoring system. • It seemed to me this topic was great for a mobile App Web Map Mobile App
  3. 3. Solution Architecture PosgreSQL + PostGIS Tabular and Spatial Data Apache Web Server MapServer (for WMS) Processing Server (Windows 2008 Server) R for Statistical Computing MARN User
  4. 4. Processing Server • Process daily soil moisture map using daily mass balance from MARN database Scheduled task runs an R script that reads a database, executes an spatial Interpolation [ordinary kriging], reclassification, calculates and stores in the Database the area per soil condition on each department of El Salvador, Generates a shapefile that is stored in the database [PostGIS] that is used In the WMS Services. • Process on demand. User uploads an Excel Spreadsheet containing the source data for the Map generation. The UI was made on APS.Net An R script uses the spreadsheet provided, executes an spatial Interpolation [ordinary kriging], reclassification, calculates and stores in the Database the area per soil condition on each department of El Salvador, Generates a shapefile that is stored in the database [PostGIS] that is used In the WMS Services. On demand process is used to generate the Map for a period of 10 days.
  5. 5. Database, MapServer and Web Server [Stores Spatial and Tabular Data, Provides spatial Query functionality] WMS Services Consumed on Web and Mobile Apps Serves the Web Map [Using Google Maps API] And services consumed in The mobile App [http, json]
  6. 6. Results: Web Map [10 days period] Developed used PHP, JavaScript + jQuery, Google Maps API for JavaScript Allows to query the percent of area per soil Condition for each deparment of El Salvador. http://www.snet.gob.sv/googlemaps/humedad/mapIH.php
  7. 7. Results: Web Map daily calculation Shows the results of the daily calculation and shows A table with the last 10 days of percentage per soil Condition for the selected department of El Salvador. This is to see how the soil condition is evolving.
  8. 8. Results: Mobile App “MARN Agrometeorologia” Available on Google Play: https://play.google.com/store/apps/details?id=sv.eliseo.agromet Display both the map for 10 days and the daily map, Tabular data With the percentage of area per soil condition for each department. Includes a tab with the agrometeorological bulletin from MARN Allows to upload a picture to MARN servers. This is for farmers to Contribute their crop condition.
  9. 9. What is next? • Mobile App UI and functionality improvement [Allow to take picture offline, upload when on wifi] • Create a Map with a Time Line of user uploads and combine it with the estimated soil condition and satellite imagery • Research on agrometeorological models [ + Research in general] • Get feedback THANKS! David Eliseo Martínez Castellanos eliseo.Martinez@gmail.com emartinez@marn.gob.sv Linked-in: sv.linkedin.com/pub/david-eliseo-martinez-castellanos/35/71b/7b5/

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