GIS database

It is about updating to GIS information database, Decision Support Tool (DST) in collaboration with IWMI. With the support of the Fish for Livelihoods field team and IPs (MFF, BRAC Myanmar, PACT Myanmar, and KMSS) staff, collection of Global Positioning System GPS location data for year-1 (2019-20) 1,167 SSA farmer ponds, and year-2 (2020-21) 1,485 SSA farmer ponds were completed with different GPS mobile applications: My GPS Coordinates, GPS Status & Toolbox, GPS Essentials, Smart GPS Coordinates Locator and GPS Coordinates. The Soil and Water Assessment Tool (SWAT) model that integrates climate change analysis with water availability will provide an important tool informing decisions on scaling pond adoption. It can also contribute to a Decision Support Tool to better target pond scaling. GIS Data also contribute to identify the location point of the F4L SSA farmers ponds on the Myanmar Map by fiscal year from 1 to 5.本数据集围绕与国际水资源管理研究所(IWMI)合作开展的地理信息系统(GIS)信息数据库及决策支持工具(DST)更新工作。在“以渔维生”(Fish for Livelihoods)实地团队以及MFF、BRAC Myanmar、PACT Myanmar、KMSS等机构员工的支持下，项目组已借助多款GPS移动应用完成数据采集工作：其中2019-2020财年（第1年）共采集1167个撒哈拉以南非洲(SSA)养殖农户池塘的全球定位系统(GPS)点位数据，2020-2021财年（第2年）共采集1485个撒哈拉以南非洲(SSA)养殖农户池塘的GPS点位数据，所用应用包括My GPS Coordinates、GPS Status & Toolbox、GPS Essentials、Smart GPS Coordinates Locator及GPS Coordinates。整合气候变化分析与水资源可利用性评估的土壤与水评估模型(SWAT)，将为池塘养殖推广的决策制定提供重要支撑工具。该模型还可为精准推进池塘养殖推广的决策支持工具(DST)构建提供助力。此外，地理信息系统(GIS)数据可按第1至第5财年，在缅甸地图上标注出“以渔维生”(Fish for Livelihoods)项目下属撒哈拉以南非洲(SSA)养殖农户池塘的具体点位。