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Nexus_Blue_Strategy_FINAL_1-11-16Kelly WachowiczThe Nexus Blue Strategy is a $34 million public-private partnership investment in the Philippines that aims to combat illegal, unreported, and unregulated (IUU) fishing and improve fisheries management. The investment would fund infrastructure upgrades and technology solutions at the General Santos Fish Port, the largest tuna port in the Philippines, and implement a Fishery Information Management System. This includes vessel monitoring, electronic catch reporting, port-based data management, and solar power. The investment is structured as a 30-year concession and aims to generate transparency across supply chains, support compliance with EU regulations, and help nearshore fishers impacted by IUU fishing. The strategy targets a 15.0% blended investor return over 33 years.
Experience of forestry working in UkraineExternalEventsThe Soil Salinity Training was held from 26 to 29 September 2017 in Kharkiv, Ukraine, attended by representatives from 12 countries in the Eurasian region. The main objective of the event was to provide training on the severity of soil salinity in the Eurasian region and existing efforts and technologies to sustainably manage saline soils.
Agroforestry of saline-prone lands in marginal landscapes of the Khorezm oasisExternalEventsThe Soil Salinity Training was held from 26 to 29 September 2017 in Kharkiv, Ukraine, attended by representatives from 12 countries in the Eurasian region. The main objective of the event was to provide training on the severity of soil salinity in the Eurasian region and existing efforts and technologies to sustainably manage saline soils.
Presentation 20220316 nandiaGeoMedeelelThis document outlines a study to estimate above-ground biomass and carbon stock in boreal forests in Mongolia using satellite data and machine learning. Boreal forests cover about 9.2% of Mongolia but have been declining in recent decades. The study aims to develop a suitable machine learning model to map forest biomass and carbon stock. Random forest was the best performing model with an R2 of 0.24 and RMSE of 33 Mg/ha. Important input features included shortwave infrared band 1, green leaf index, and radar polarization data. The predicted forest biomass ranged from 32.5-122.5 Mg/ha and carbon stock ranged from 16.5-62.5 Mg C/ha. Some reference
Drone 20201216GeoMedeelelThe document outlines a study that uses multispectral drones and ground sampling to collect vegetation data from pasture sites over three sampling periods in June, July, and August. Various vegetation indices will be calculated from the drone and ground spectrometer data to analyze changes in biomass, chlorophyll content, and other vegetation metrics over time. A total of 285 sample points will be collected and various biophysical parameters will be measured at each point to analyze temporal changes in pasture sites.
Intro mga 15dec2021 (1)GeoMedeelelThe Mongolian Geospatial Association has a board that executes the CEO and Secretary. It has 9 technical commissions and 3 member communities. The association has regular, student, institutional, honorary, and advisory members. It partners internationally and participates in activities in countries like the US, UAE, Taiwan, South Korea, and others. In 2021, the association held webinars, talks, workshops and participated in a United Nations workshop on GNSS applications. It celebrates GIS day and holds monthly geo-meetings and quarterly geo-forums.
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Experience of forestry working in UkraineExternalEventsThe Soil Salinity Training was held from 26 to 29 September 2017 in Kharkiv, Ukraine, attended by representatives from 12 countries in the Eurasian region. The main objective of the event was to provide training on the severity of soil salinity in the Eurasian region and existing efforts and technologies to sustainably manage saline soils.
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Presentation 20220316 nandiaGeoMedeelelThis document outlines a study to estimate above-ground biomass and carbon stock in boreal forests in Mongolia using satellite data and machine learning. Boreal forests cover about 9.2% of Mongolia but have been declining in recent decades. The study aims to develop a suitable machine learning model to map forest biomass and carbon stock. Random forest was the best performing model with an R2 of 0.24 and RMSE of 33 Mg/ha. Important input features included shortwave infrared band 1, green leaf index, and radar polarization data. The predicted forest biomass ranged from 32.5-122.5 Mg/ha and carbon stock ranged from 16.5-62.5 Mg C/ha. Some reference
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Intro mga 14apr2021GeoMedeelelMongolia began developing space technology in 1965 under the INTERCOSMOS program. Some key early developments included establishing the first satellite data receiving station in 1970 and a meteorological satellite data station. The first Mongolian cosmonaut launched in 1981. More recently, Mongolia launched its first satellite, Mazaalai, in 2017.
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