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ArcGIS API for Python is a powerful, modern Pythonic library for performing GIS visualization, analysis, data management, and GIS system administration tasks. Explore the API to learn how to write scripts to perform specific tasks such as mapping, querying, analysis, geocoding, routing, portal administration, and more.

NodiraTillayeva/UzbekGIS

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Aral changes using Landsat 8 Imagery from every year with a help of Earth Engine.

Vegetation percentage calculation using SAM and text prompts

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Getting info about location using Open Street Maps (OSM) and parsing it

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ArcGis

Intro project contains infographics on air pollution levels and queries top 40 most polluted countries and their capitals according to P25 and creates barchart using matplotlib. Current air ArcGis item was used.

In this project I parsed 300 cafes in Tashkent as csvs and mapped them on a feature layer by creating buffers and coloring them by ranks. ALso I published it on ArcGIS Portal!

This application tells you the closest path to the nearest hospitals in case of emergency!

In this notebook I basically analyze raster image from satellites and experiement with different raster functions to retrieve information about Agriculture, Vegetation and Slope.

Useful Resources and Maps for Uzbekistan

This document provides a list of useful resources and maps for Uzbekistan. The resources cover a variety of topics, including climate change, population growth, economic development, infrastructure, and the environment.

Resources

  • Climate Extremes: Heat (NOAA)

    This map shows the global distribution of extreme heat events from 1951 to 2020. The map can be zoomed in to show specific regions, and the data can be filtered by year, month, and event type.

  • Change in Infrastructure from 2018-2021 (Sentinel)

    This map shows the change in infrastructure in Uzbekistan from 2018 to 2021. The map can be zoomed in to show specific areas, and the data can be filtered by type of infrastructure.

  • Interesting Maps with Projections for the Future

    This website provides a variety of maps that show projections for the future of Uzbekistan. The maps cover a variety of topics, including climate change, population growth, and economic development.

  • Major Earthquakes (NOAA)

    This map shows the global distribution of major earthquakes from 1960 to 2020. The map can be zoomed in to show specific regions, and the data can be filtered by year, magnitude, and location.

  • MODIS Real Time (NASA)

    This website provides a variety of real-time data from the MODIS satellite, including images of the Earth, atmospheric data, and ocean data.

  • GLDAS Precipitation 2000 - Present

    This map shows the global distribution of precipitation from 2000 to the present. The map can be zoomed in to show specific regions, and the data can be filtered by year, month, and type of precipitation.

  • Seismically Active Zones

    This map shows the global distribution of seismically active zones. The map can be zoomed in to show specific regions, and the data can be filtered by magnitude and location.

  • Global Human Footprint Index

    This map shows the global distribution of human impact on the environment. The map can be zoomed in to show specific regions, and the data can be filtered by type of impact.

  • PM2.5 by OpenAQ

    This map shows the global distribution of PM2.5 pollution. PM2.5

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ArcGIS API for Python is a powerful, modern Pythonic library for performing GIS visualization, analysis, data management, and GIS system administration tasks. Explore the API to learn how to write scripts to perform specific tasks such as mapping, querying, analysis, geocoding, routing, portal administration, and more.

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