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

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. 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. 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. 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. 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. 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. 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. 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. 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/