Defense presentation of land capacity study2GeoMedeelel
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This document summarizes a land capacity study conducted in Ulaanbaatar, Mongolia using GIS analysis to identify unclaimed areas suitable for household land ownership. The study analyzed existing and planned land use, protected areas, slope suitability, and engineering network buffers. Over 110,000 hectares of unclaimed land was identified, most located west and northwest of the city. A prototype online land application system was developed to allow citizens to apply to change the status of existing land parcels. Future work should focus on regional planning and feasibility studies to encourage decentralizing settlements into the identified unclaimed areas according to the city's long-term plan.
Defense presentation of land capacity study2GeoMedeelel
油
This document summarizes a land capacity study conducted in Ulaanbaatar, Mongolia using GIS analysis to identify unclaimed areas suitable for household land ownership. The study analyzed existing and planned land use, protected areas, slope suitability, and engineering network buffers. Over 110,000 hectares of unclaimed land was identified, most located west and northwest of the city. A prototype online land application system was developed to allow citizens to apply to change the status of existing land parcels. Future work should focus on regional planning and feasibility studies to encourage decentralizing settlements into the identified unclaimed areas according to the city's long-term plan.
The Securing Our Future water quality monitoring database program began in 2006 and is funded by the Dutch government for 3 years. It supports monitoring of chemical, hydrological, and aquatic insect parameters as well as habitat conditions at 163 sites on 129 streams in Mongolia between 2007-2009. Fieldwork was carried out during summer months to assess water quality in rivers in the Arctic Ocean, Central Asian Internal, and Pacific Ocean basins. Program contacts provided for additional information.
GIS technology is increasingly being used in a variety of applications including municipal planning, demand assessment, identifying new water sources, groundwater potential analysis, site selection, fault location, street networks, solid waste disposal, emergency response, tourism, land value estimation, land use planning, traffic information, climate analysis, agriculture suitability, health care, telecommunications, cartography, school district administration, and more. Some future trends of GIS include more use in relief management, hurricane tracking and response, and increasing demand for GIS skills. GIS allows analysis of spatial information to help decision making across many domains.
The document summarizes the activities of the NUM-ITC-UNESCO laboratory for Remote Sensing/GIS at the National University of Mongolia. The laboratory conducts research on environmental monitoring in Mongolia using remote sensing and GIS techniques. Some of its key projects include monitoring pastureland degradation, glaciers, forest fires, drought, and desertification. It also engages in educational activities and international cooperation with universities from countries like the US, UK, Austria, and Japan.
The document discusses GIS applications in Mongolia, including applications used by MonMap and ESRI. It provides examples of using different data sources like satellite imagery, aerial photos, and drone data to generate detailed spatial data for various uses. It also discusses specific GIS applications for tasks like infrastructure mapping, mining monitoring, agriculture, and more. High resolution data allows generation of data like digital terrain models and 3D features.
This 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
The 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.
The 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.
The document provides an overview of CHCNAV's AlphaUni 300/900/1300 mobile mapping solutions. It describes the key features and performance specifications of the AlphaUni series, including its universal lidar platform design, accuracy levels, data storage capabilities, and compatibility with various installation methods for airborne, vehicle, boat, and backpack use cases. The document also introduces CHC's new BB4 UAV platform as a high-payload professional solution for airborne lidar applications.
Mongolia has been involved in space technology since 1965 under the INTERCOSMOS program. The first satellite data receiving station and weather satellite ground station were established in 1970. In 1981, J. Gurragchaa became the first Mongolian cosmonaut. In 2017, Mazaalai, Mongolia's first satellite, was launched into space.
The Space Technology Association of Mongolia is the main organization related to space technology. It has a board, CEO, secretary and various technical commissions. Members include students, regular members, institutions and honorary members. The association partners with space organizations in countries around the world and participates in international conferences and workshops on space technology.
Mongolia 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.
The Association of Mongolian Geodesy and Cartography brings together members involved in fields like photogrammetry, GIS, and surveying. It has over 1500 members across categories like students, institutions, and honorary members. The Association partners with space technology organizations internationally and runs various events and programs.
Demonstration of super map ai gis technology GeoMedeelel
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This document demonstrates SuperMap's AI GIS technology. It discusses geospatial deep learning and the AI GIS workflow, including data acquisition and preparation, model building and management, and model application. It provides examples of using deep learning models for tasks like object detection, segmentation, and classification of imagery. The workflow and tools for training models with SuperMap software and deploying trained models as web services are also described. A case study on building extraction is presented to illustrate the full AI GIS process.
Supermap gis 10i(2020) ai gis technology v1.0GeoMedeelel
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This document provides information about SuperMap Software Co., Ltd. It includes:
1. Background information on SuperMap such as its founding date and headquarters location.
2. Market share data showing SuperMap has the largest share of the GIS software market in China.
3. An overview of SuperMap's products and technologies including distributed GIS, cross-platform GIS, 3D GIS, big data GIS, and AI GIS.