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UID:pretalx-sotm-africa-2023-W8NBYN@pretalx.com
DTSTART;TZID=WAT:20231201T163000
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DESCRIPTION:In the Lower Omo Valley in Ethiopia\, a food security crisis is
  unfolding. According to the Famine Early Warning Systems Network (FEWSNET
 )\, the situation in the area has passed ‘stressed’ to reach the ‘cr
 isis’ stage. Against this background\, Humanitarian OpenStreetMap Team (
 HOT) has been supporting a few affected agro-pastoralist communities in ma
 pping the facilities and the natural resources\, as part of an effort to m
 anage these resources better and provide evidence to assess the scale of t
 he disaster. The results from a pilot project (2021) demonstrate that the 
 data generated by those affected is more accurate\, complete\, and locally
  relevant than authoritative maps or global machine-generated maps. The Cr
 owdmapping For Food Security in Ethiopia (2023) Project aims to support ag
 ro-pastoralist communities in mapping the natural resources and facilities
  they have access to and monitoring the state of such resources. The proje
 ct further aims at integrating the land user-generated data (in whole or p
 artially\, depending on the communities’ decision) into OpenStreetMap. T
 he South Omo Valley area in Ethiopia faces low agricultural productivity d
 ue to limited access to land and water resources\, which is further compou
 nded by natural disasters like floods and droughts that worsen food insecu
 rity. To address these challenges\, #OSM_Ethiopia organized a series of ev
 ents at three universities in the region\, namely Wolaita Soddo University
 \, Arbaminch University\, and Jinka University. The events aimed to explor
 e the potential of open-source mapping to create resilient and food-secure
  communities\, focusing on crowd-sourced mapping for food security.\n\nThe
  food security crisis mapping project aimed to improve resource management
  practices and evaluate the food security crisis in the Lower Omo Valley r
 egion of Ethiopia. Volunteers used a customized Sapelli mapping app to col
 lect data in three formats (point\, line\, and polygon data). The data ana
 lysis team conducted a data-cleaning process to ensure consistency and acc
 uracy. The objective of the cleaning process was to eliminate duplicate en
 tries\, fill in any missing data values\, and standardize the data format.
  The Food Security Mapping project is an initiative to map food security d
 ata in the NYNGATOM district of the OMO zone in Ethiopia. The project is c
 onducted remotely\, with OSM Ethiopia mappers and volunteers from around t
 he world contributing their time and skills to map the food security data.
   To achieve these goals\, the project used satellite imagery and other op
 en-source data sources to collect information on crop production\, livesto
 ck\, and other\nrelevant food security indicators and Create a map of the 
 data collected to provide a visual\nrepresentation of the food security si
 tuation in the NYNGATOM district. OSM Ethiopia handled the project by coll
 aborating with the University College of London (UCL) Grand Challenges fun
 ded project and HOT to ensure the successful implementation of the crowd m
 apping project for food security in Ethiopia.
DTSTAMP:20260715T111756Z
LOCATION:Room 3
SUMMARY:Crowd Mapping for Food Security in South Omo Valley\, Ethiopia - Bi
 nyam Dele\, Yohannes Yehualashet
URL:https://pretalx.com/sotm-africa-2023/talk/W8NBYN/
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