Current control of terrain in Ukraine, including location of Russian field fortifications. Modified from the original web map ISW Ukraine Invasion Interactive Web Map produced by gbarros_understandingwar at the Institute for the Study of War.

Digital elevation model for Ukraine from the Copernicus GLO-30 DEM product. Streamflow from the European Centre for Medium-range Weather Forecasting (ECMWF) made available as a map image layer from the ArcGIS Living Atlas produced by Esri.

Download high-quality, up-to-date Ukraine shapefile boundaries (SHP, projection system SRID 4326). Our Ukraine Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

Landforms are large recognizable features such as mountains, hills and plains; they are an important determinant of ecological character, habitat definition and terrain analysis. Landforms are important to the distribution of life in natural systems and are the basis for opportunities in built systems, and therefore landforms play a useful role in all natural science fields of study and planning disciplines. Sourced through the World Ecological Facets Landform Classes imagery layer available in the ArcGIS Living Atlas produced by Esri.Land cover is supplemented with oblast administrative boundaries from the Humanitarian Data Exchange.

The Viewshed analysis layer is used to identify visible areas. You specify the places you are interested in, either from a file or interactively, and the Viewshed service combines this with Esri-curated elevation data to create output polygons of visible areas. Some questions you can answer with the Viewshed task include:What areas can I see from this location? What areas can see me?Can I see the proposed wind farm?What areas can be seen from the proposed fire tower?The maximum number of input features is 1000.Viewshed has the following optional parameters:Maximum Distance: The maximum distance to calculate the viewshed.Maximum Distance Units: The units for the Maximum Distance parameter. The default is meters.DEM Resolution: The source elevation data; the default is 90m resolution SRTM. Other options include 30m, 24m, 10m, and Finest.Observer Height: The height above the surface of the observer. The default value of 1.75 meters is an average height of a person. If you are looking from an elevation location such as an observation tower or a tall building, use that height instead.Observer Height Units: The units for the Observer Height parameter. The default is meters.Surface Offset: The height above the surface of the object you are trying to see. The default value is 0. If you are trying to see buildings or wind turbines add their height here.Surface Offset Units: The units for the Surface Offset parameter. The default is meters.Generalize Viewshed Polygons: Determine if the viewshed polygons are to be generalized or not. The viewshed calculation is based upon a raster elevation model which creates a result with stair-stepped edges. To create a more pleasing appearance, and improve performance, the default behavior is to generalize the polygons. This generalization will not change the accuracy of the result for any location more than one half of the DEM's resolution.By default, this tool currently works worldwide between 60 degrees north and 56 degrees south based on the 3 arc-second (approximately 90 meter) resolution SRTM dataset. Depending upon the DEM resolution pick by the user, different data sources will be used by the tool. For 24m, tool will use global dataset WorldDEM4Ortho (excluding the counties of Azerbaijan, DR Congo and Ukraine) 0.8 arc-second (approximately 24 meter) from Airbus Defence and Space GmbH. For 30m, tool will use 1 arc-second resolution data in North America (Canada, United States, and Mexico) from the USGS National Elevation Dataset (NED), SRTM DEM-S dataset from Geoscience Australia in Australia and SRTM data between 60 degrees north and 56 degrees south in the remaining parts of the world (Africa, South America, most of Europe and continental Asia, the East Indies, New Zealand, and islands of the western Pacific). For 10m, tool will use 1/3 arc-second resolution data in the continental United States from USGS National Elevation Dataset (NED) and approximately 10 meter data covering Netherlands, Norway, Finland, Denmark, Austria, Spain, Japan Estonia, Latvia, Lithuania, Slovakia, Italy, Northern Ireland, Switzerland and Liechtenstein from various authoritative sources.To learn more, read the developer documentation for Viewshed or follow the Learn ArcGIS exercise called I Can See for Miles and Miles. To use this Geoprocessing service in ArcGIS Desktop 10.2.1 and higher, you can either connect to the Ready-to-Use Services, or create an ArcGIS Server connection. Connect to the Ready-to-Use Services by first signing in to your ArcGIS Online Organizational Account:Once you are signed in, the Ready-to-Use Services will appear in the Ready-to-Use Services folder or the Catalog window:If you would like to add a direct connection to the Elevation ArcGIS Server in ArcGIS for Desktop or ArcGIS Pro, use this URL to connect: https://elevation.arcgis.com/arcgis/services. You will also need to provide your account credentials. ArcGIS for Desktop:ArcGIS Pro:The ArcGIS help has additional information about how to do this:Learn how to make a ArcGIS Server Connection in ArcGIS Desktop. Learn more about using geoprocessing services in ArcGIS Desktop.This tool is part of a larger collection of elevation layers that you can use to perform a variety of mapping analysis tasks.

The Copernicus GLO-30 DEM is a Digital Surface Model (DSM) that represents the surface of the Earth including buildings, infrastructure and vegetation. Data were acquired through the TanDEM-X mission between 2011 and 2015. The datasets were made available for use in 2019 and will be maintained until 2026.

The maps are based on the Phosphoric Rates in each Oblast. All the Years in this web map are based on Phosphoric Rates.

This is a tiled layer of the different Soil Types that are in Ukraine. This data came from the Harmonized World Soil Database. This comes by joining the D_SYMBOL90 database together with the HWSD_DATA database in the HWSD Microsoft Access Database.

Soybean production in Ukraine by oblast for 2015-2023 as reported by the State Statistics Service of Ukraine (Derzhstat). Data from 2023 is mapped while other years are accessible through the attribute table or the specially configured pop-up window.

Populated places in Ukraine from the Humanitarian OpenStreetMap Team and Humanitarian Data Exchange.

The maps are based on the Total Amount of Applied Inorganic Fertilizer in each Oblast. All the Years in this web map are based on Total Amount.

Soybean production in Ukraine by oblast for 2015-2023 as reported by the State Statistics Service of Ukraine (Derzhstat).

This polygon shapefile contains the national boundary of Ukraine (adm0). This layer is part of the Global Administrative Areas 2015 (v2.8) dataset.

The dataset represents pesticide data by oblast for 2020.

Showing three levels of administrative units, with varying transparency based on zoom level. World Map included as a reference.

Sunflower production in Ukraine by oblast for 2015-2023 as reported by the State Statistics Service of Ukraine (Derzhstat). Data from 2023 is mapped while other years are accessible through the attribute table or the specially configured pop-up window.

The maps are based on the Nitrogen (N) rates in each Oblast. All the Years in this web map are based on the Nitrogen (N) rates.

Recent population estimates for Ukraine at the raion (or district) administrative level.

Dominant soil groups in Ukraine from the FAO Harmonized World Soil Database v2.0.

This layer shows the different Soil Types that are in Ukraine. This data was derived from the Harmonized World Soil Database. This dataset includes:- Cation Exchange Capacity - Clay (S_CEC_CLAY) (cmol kg^-1)- Cation Exchange Capacity - Soil (S_CEC_SOIL) (cmol kg^-1)- Electrical Conductivity (S_ECE) (dS/m)- Organic Carbon Content (S_OC) (g/kg)- Soil pH (S_PH_H2O)- Soil Type (Soil_Type)- Soil Texture (SoilText)You are able to change with field is activated by going to Styles -> Picking Unique Values or Stretch -> Click on Style Options -> Pick which field you would like to view.