ArcGIS Dashboards useful links (GeoNet). ArcGIS Dashboards is a configurable web app that provides location-aware data visualization and analytics for a real-time operational view of people, services, assets, and events. You can monitor the activities and key performance indicators that are vital to meeting your organization’s objectives within a dynamic dashboard._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...Edi

Soils and soil moisture greatly influence the water cycle and have impacts on runoff, flooding and agriculture. Soil type and soil particle composition (sand, clay, silt) affect soil moisture and the ability of the soil to retain water. Soil moisture is also affected by levels of evaporation and plant transpiration, potentially leading to near dryness and eventual drought.Measuring and monitoring soil moisture can ensure the fitness of your crops and help predict or prepare for flash floods and drought. The GLDAS soil moisture data is useful for modeling these scenarios and others, but only at global scales. Dataset SummaryThe GLDAS Soil Moisture layer is a time-enabled image service that shows average monthly soil moisture from 2000 to the present at four different depth levels. It is calculated by NASA using the Noah land surface model, run at 0.25 degree spatial resolution using satellite and ground-based observational data from the Global Land Data Assimilation System (GLDAS-1). The model is run with 3-hourly time steps and aggregated into monthly averages. Review the complete list of model inputs, explore the output data (in GRIB format), and see the full Hydrology Catalog for all related data and information!What can you do with this layer?This layer is suitable for both visualization and analysis. It can be used in ArcGIS Online in web maps and applications and can be used in ArcGIS Desktop. The GLDAS soil moisture data is useful for modeling, but only at global scales. Time: This is a time-enabled layer. It shows the total evaporative loss during the map's time extent, or if time animation is disabled, a time range can be set using the layer's multidimensional settings. The map shows the sum of all months in the time extent. Minimum temporal resolution is one month; maximum is one year.Depth: This layer has four depth levels. By default they are summed, but you can view each using the multidimensional filter. You must disable time animation on the layer before using its multidimensional filter. It is also possible to toggle between depth layers using raster functions, accessed through the Image Display tab.Important: You must switch from the cartographic renderer to the analytic renderer in the processing template tab in the layer properties window before using this layer as an input to geoprocessing tools.This layer has query, identify, and export image services available. This layer is part of a larger collection of earth observation maps that you can use to perform a wide variety of mapping and analysis tasks.The Living Atlas of the World provides an easy way to explore the earth observation layers and many other beautiful and authoritative maps on hundreds of topics.Geonet is a good resource for learning more about earth observations layers and the Living Atlas of the World. Follow the Living Atlas on GeoNet.

Actualiteit: zie dit itemDeze webscene bevat de BAG-gebouwen van Nederland in 3D. De data is gebaseerd op de 3D BAG data van de TU Delft. Meer informatie over deze dataset kunt u hier terugvinden. De kaart toont de gebouwen naar functietype, zoals wonen, winkel, religie etc.Deze web scene maakt onderdeel uit van een uitgebreide collectie van 3D-kaarten die gebruikt kunnen worden als basis voor uw eigen 3D-informatieproducten. Het is mogelijk om deze laag toe te voegen in een scene in ArcGIS Pro, in de ArcGIS Online-scene viewer en in ArcGIS Earth. Vervolgens kunt u eigen informatie aan de kaart toevoegen en als scene opslaan in ArcGIS Online.

Naast deze web scene heeft Esri Nederland de scene layer apart beschikbaar gesteld in zowel RD als WGS84. Een overzicht van alle beschikbare 3D Content is te vinden in de groep 3D.

Deze laag is aangeboden vanuit Esri Nederland Content. Esri Nederland Content biedt landsdekkende data en services aan die gebruikt kunnen worden in het ArcGIS platform. Het content-team actualiseert het aanbod en voegt geregeld nieuwe content toe. Door content van Esri Nederland te combineren met andere gegevens creëert u snel en eenvoudig nieuwe informatieproducten. Meer informatie over het content aanbod is te vinden via: esri.nl/content. Heeft u vragen of opmerkingen dan horen wij dat graag via content@esri.nl. Volg ons op GeoNet om op de hoogte te blijven van al het Esri Nederland Content-nieuws. Volg ons op GeoNet om op de hoogte te blijven van al het Esri Nederland Content-nieuws.

Please note, the updated version of this toolbox is now available for download on this page. The COVID-19-Modeling-v1.zip file contains version 5 of the toolbox with updated documentation. Version 5 of the toolbox updates the CHIME Model v1.1.5 tool. The COVID-19Surge (CDC) model is unchanged in this version.More information about the toolbox can be found in the toolbox document. More information about the CHIME Model v1.1.5 tool, including the change log, can be found in the tool documentation and this video.More information about the COVID-19Surge (CDC) tool is included in the tool documentation and this video. CHIME Model v1.1.5 ToolVersion 4 - Updated 11 MAY 2020An implementation of Penn Medicine’s COVID-19 Hospital Impact Model for Epidemics (CHIME) for use in ArcGIS Pro 2.3 or later. This tool leverages SIR (Susceptible, Infected, Recovered) modeling to assist hospitals, cities, and regions with capacity planning around COVID-19 by providing estimates of daily new admissions and current inpatient hospitalizations (census), ICU admissions, and patients requiring ventilation. Version 4 of this tool is based on CHIME v1.1.5 (2020-05-07). Learn more about how CHIME works.Version 4 contains the following updates:Updated the CHIME tool from CHIME v1.1.2 to CHIME v1.1.5.Added a new parameter called Date of Social Distancing Measures Effect to specify the date when social distancing measures started showing their effects.Added a new parameter called Recovery to specify the number of recovered cases at the start of the model.COVID-19Surge (CDC) ToolVersion 1 - Released 04 MAY 2020An implementation of Centers for Disease Control and Prevention’s (CDC) COVID-19Surge for use in ArcGIS Pro 2.3 or later. This tool leverages SIICR (Susceptible, Infected, Infectious, Convalescing, Recovered) modeling to assist hospitals, cities, and regions with capacity planning around COVID-19 by providing estimates of daily new admissions and current inpatient hospitalizations (census), ICU admissions, and patients requiring ventilation based on the extent to which mitigation strategies such as social distancing or shelter-in-place recommendations are implemented. This tool is based on COVID-19Surge. Learn more about how COVID-19Surge works.Potential ApplicationsThe illustration above depicts the outputs of the COVID-19Surge (CDC) tool of the COVID-19 Modeling toolbox.A hospital systems administrator needs a simple model to project the number of patients the hospitals in the network will need to accommodate in the next 90 days due to COVID-19. You know the population served by each hospital, the date and level of current social distancing, the number of people who have recovered, and the number of patients that are currently hospitalized with COVID-19 in each facility. Using your hospital point layer, you run the CHIME Model v1.1.5 tool.An aid agency wants to estimate where and when resources will be required in the counties you serve. You know the population and number of COVID-19 cases today and 14 days ago in each county. You run the COVID-19Surge (CDC) tool using your county polygon data, introducing an Intervention Policy and New Infections Per Case (R0) driven by fields to account for differences in anticipated social distancing policies and effectiveness between counties.A county wants to understand how the lessening or removal of interventions may impact hospital bed availability within the county. You run the CHIME Model v1.1.5 and COVID-19Surge (CDC) tool, checking Add Additional Web App Fields in Summary in both tools. You display the published results from each tool in the Capacity Analysis configurable app so estimates can be compared between models.This toolbox requires any license of ArcGIS Pro 2.3 or higher in order to run. Steps for upgrading ArcGIS Pro can be found here.For questions, comments and support, please visit our COVID-19 GeoNet community.

Precipitation is water released from clouds in the form of rain, sleet, snow, or hail. It is the primary source of recharge to the planet's fresh water supplies. This map contains a historical record showing the volume of precipitation that fell during each month from March 2000 to the present. Snow and hail are reported in terms of snow water equivalent - the amount of water that will be produced when they melt. Dataset SummaryThe GLDAS Precipitation layer is a time-enabled image service that shows average monthly precipitation from 2000 to the present, measured in millimeters. It is calculated by NASA using the Noah land surface model, run at 0.25 degree spatial resolution using satellite and ground-based observational data from the Global Land Data Assimilation System (GLDAS-1). The model is run with 3-hourly time steps and aggregated into monthly averages. Review the complete list of model inputs, explore the output data (in GRIB format), and see the full Hydrology Catalog for all related data and information!What can you do with this layer?This layer is suitable for both visualization and analysis. It can be used in ArcGIS Online in web maps and applications and can be used in ArcGIS for Desktop. It is useful for scientific modeling, but only at global scales.Time: This is a time-enabled layer. It shows the total evaporative loss during the map's time extent, or if time animation is disabled, a time range can be set using the layer's multidimensional settings. The map shows the sum of all months in the time extent. Minimum temporal resolution is one month; maximum is one year.Variables: This layer has two variables: rainfall and snowfall. By default the two are summed, but you can view either by itself using the multidimensional filter. You must disable time animation on the layer before using its multidimensional filter.Important: You must switch from the cartographic renderer to the analytic renderer in the processing template tab in the layer properties window before using this layer as an input to geoprocessing tools.This layer has query, identify, and export image services available.This layer is part of a larger collection of earth observation maps that you can use to perform a wide variety of mapping and analysis tasks.The Living Atlas of the World provides an easy way to explore the earth observation layers and many other beautiful and authoritative maps on hundreds of topics.Geonet is a good resource for learning more about earth observations layers and the Living Atlas of the World. Follow the Living Atlas on GeoNet.

Turn addresses into points (GeoNet)._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...EditTerms of Use

Business as usual in unusual times (GeoNet).Over the last few weeks, many organizations and ArcGIS users have transitioned to remote work environments. Here in Esri Training, our team members are also working remotely. While individuals' geography may have changed, the need to support business operations remains the same._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

Inwinning: 2007-2012 Schaalniveau: max. 15.000x15.000 pixels Deze image service ontsluit het (opgevulde) 50cm maaiveld gridproduct van het Actueel Hoogtebestand Nederland (AHN2). De service kan gebruikt worden door gebruikers van ArcGIS voor een breed scala aan toepassingen, waaronder visualisatie, planning, archeologie en diverse geografische analyses.

Voor deze image service zijn meerdere server rasterfuncties gedefinieerd om on-the-fly tot de volgende afgeleide hoogtebestanden te komen:

Color Ramp A (van blauw naar geel naar rood) Color Ramp B (van lichtblauw naar geel naar bruin) Contour Shaded Relief (kleur) Hillshade (grijstinten) Hillshade (multidirectionaal) Slope Slope (kleur) Aspect Aspect (kleur)

Deze kaartlaag biedt ondersteuning voor bevragen, identificeren en exporteren van het kaartbeeld. Deze kaartlaag maakt onderdeel uit van een uitgebreide collectie van hoogtebestanden die gebruikt kunnen worden voor geografische analyses. Meer AHN kaartlagen kunnen gevonden worden in de groepen Actueel Hoogtebestand Nederland en Ruimte. Deze kaartlaag wordt aangeboden vanuit Esri Nederland Content. Esri Nederland Content biedt landsdekkende data en services aan die gebruikt kunnen worden in het ArcGIS platform. Het content-team actualiseert het aanbod en voegt geregeld nieuwe content toe. Door content van Esri Nederland te combineren met andere gegevens creëert u snel en eenvoudig nieuwe informatieproducten. Meer informatie over het content aanbod is te vinden via: esri.nl/content. Heeft u vragen of opmerkingen dan horen wij dat graag via content@esri.nl. Volg ons op GeoNet om op de hoogte te blijven van al het Esri Nederland Content-nieuws.

The Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) dataset provides a 7.5 arcsecond (approximately 250 meter resolution) digital elevation model with world-wide coverage at a resolution suitable for regional to continental scale analyses. Dataset SummaryThis layer provides access to a 250m cell-sized raster created from the Global Multi-resolution Terrain Elevation Data 2010 7.5 arcsecond mean elevation product. The dataset represents a compilation and synthesis of 11 different existing raster data sources. The data were published in 2011 by the USGS and the National Geospatial-Intelligence Agency.The dataset is documented in the publication: Danielson and Gesch. 2011. Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010). U.S. Geological Survey Open-File Report 2011–1073, 26 p.What can you do with this layer?This layer is suitable for both visualization and analysis. It can be used in ArcGIS Online in web maps and applications and can be used in ArcGIS Desktop.This layer has query, identify, and export image services available. This layer is restricted to a maximum area of 16,000 x 16,000 pixels - an area 4,000 kilometers on a side or an area approximately the size of Europe. The source data for this layer are available here.This layer is part of a larger collection of landscape layers that you can use to perform a wide variety of mapping and analysis tasks.The Living Atlas of the World provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.Geonet is a good resource for learning more about landscape layers and the Living Atlas of the World. To get started see the Living Atlas Discussion Group.The Esri Insider Blog provides an introduction to the Ecophysiographic Mapping project.

The arrangement of water in the landscape affects the distribution of many species including the distribution of humans. This layer provides a landscape-scale estimate of the distance from large water bodies.Dataset SummaryThis layer provides access to a 250m cell-sized raster of distance to surface water. To facilitate mapping, the values are in units of pixels. To convert this value to meters multiply by 250. The layer was created by extracting surface water values from the World Lithology and World Land Cover layers to produce a surface water layer. The distance from water was calculated using the ArcGIS Euclidian Distance Tool. The layer was created by Esri in 2014.What can you do with this layer?This layer is suitable for both visualization and analysis. It can be used in ArcGIS Online in web maps and applications and can be used in ArcGIS Desktop. This layer has query, identify, and export image services available. This layer is restricted to a maximum area of 16,000 x 16,000 pixels - an area 4,000 kilometers on a side or an area approximately the size of Europe. This layer is part of a larger collection of landscape layers that you can use to perform a wide variety of mapping and analysis tasks.The Living Atlas of the World provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.Geonet is a good resource for learning more about landscape layers and the Living Atlas of the World. To get started see the Living Atlas Discussion Group.The Esri Insider Blog provides an introduction to the Ecophysiographic Mapping project.

Inwinning: 2014-2019 Schaalniveau: max. 15.000x15.000 pixels Deze image service ontsluit het ongefilterde 50cm maaiveld gridproduct van het Actueel Hoogtebestand Nederland (AHN3). De service kan gebruikt worden door gebruikers van ArcGIS voor een breed scala aan toepassingen, waaronder visualisatie, planning, archeologie en diverse geografische analyses. Voor deze image service zijn meerdere server rasterfuncties gedefinieerd om on-the-fly tot de volgende afgeleide hoogtebestanden te komen:

Color Ramp A (van blauw naar geel naar rood) Color Ramp B (van lichtblauw naar geel naar bruin) Color Ramp C (van blauw naar groen naar geel naar bruin, statisch) Color Ramp D (van blauw naar groen naar geel naar bruin, dynamisch) Contour Shaded Relief (kleur) Hillshade (grijstinten) Hillshade (multidirectionaal) Slope Slope (kleur) Aspect Aspect (kleur)

Deze kaartlaag biedt ondersteuning voor bevragen, identificeren en exporteren van het kaartbeeld. Deze kaartlaag maakt onderdeel uit van een uitgebreide collectie van hoogtebestanden die gebruikt kunnen worden voor geografische analyses. Meer AHN kaartlagen kunnen gevonden worden in de groepen Actueel Hoogtebestand Nederland en Ruimte Deze kaartlaag wordt aangeboden vanuit Esri Nederland Content. Esri Nederland Content biedt landsdekkende data en services aan die gebruikt kunnen worden in het ArcGIS platform. Het content-team actualiseert het aanbod en voegt geregeld nieuwe content toe. Door content van Esri Nederland te combineren met andere gegevens creëert u snel en eenvoudig nieuwe informatieproducten. Meer informatie over het content aanbod is te vinden via: esri.nl/content. Heeft u vragen of opmerkingen dan horen wij dat graag via content@esri.nl. Volg ons op GeoNet om op de hoogte te blijven van al het Esri Nederland Content-nieuws.

Document to help teachers and students to be able to download recent earthquakes from the GNS Science GeoNet Search page.

Performing parcel split with Parcel Fabric in ArcGIS Pro is simple!Don't believe it? Watch the video by clicking the "Open" button on the top right of this page.Editing in Parcel Fabric is maintained and tracked by the record associated to the parcels, thanks to ArcGIS being used as a system of record to maintain parcel data.Check out ArcGIS Parcel Fabric Community Page on Esri GeoNet for other videos and resources about Parcel Fabric.

Most of us understand the hydrologic cycle in terms of the visible paths that water can take such as rainstorms, rivers, waterfalls and lakes. However, an even larger volume of water flows through the air all around us in two invisible paths: evaporation and transpiration. These two paths together are referred to as evapotranpsiration (ET), and claim 61% of all terrestrial precipitation. Solar radiation, air temperature, wind speed, soil moisture, and land cover all affect the rate of evapotranspiration, which is a major driver of the global water cycle, and key component of most catchments' water budget. This map contains a historical record showing the volume of water lost to evapotranspiration during each month from March 2000 to the present.Dataset SummaryThe GLDAS Evapotranspiration layer is a time-enabled image service that shows total actual evapotranspiration monthly from 2000 to the present, measured in millimeters of water loss. It is calculated by NASA using the Noah land surface model, run at 0.25 degree spatial resolution using satellite and ground-based observational data from the Global Land Data Assimilation System (GLDAS-1). The model is run with 3-hourly time steps and aggregated into monthly averages. Review the complete list of model inputs, explore the output data (in GRIB format), and see the full Hydrology Catalog for all related data and information!What can you do with this layer?This layer is suitable for both visualization and analysis. It can be used in ArcGIS Online in web maps and applications and can be used in ArcGIS for Desktop. It is useful for scientific modeling, but only at global scales. Time: This is a time-enabled layer. It shows the total evaporative loss during the map's time extent, or if time animation is disabled, a time range can be set using the layer's multidimensional settings. The map shows the sum of all months in the time extent. Minimum temporal resolution is one month; maximum is one year.Important: You must switch from the cartographic renderer to the analytic renderer in the processing template tab in the layer properties window before using this layer as an input to geoprocessing tools.This layer has query, identify, and export image services available. This layer is part of a larger collection of earth observation maps that you can use to perform a wide variety of mapping and analysis tasks.The Living Atlas of the World provides an easy way to explore the earth observation layers and many other beautiful and authoritative maps on hundreds of topics.Geonet is a good resource for learning more about earth observations layers and the Living Atlas of the World. Follow the Living Atlas on GeoNet.

This Web Map is a subset of World Elevatuon GMTED image service.The Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) dataset provides a 7.5 arcsecond (approximately 250 meter resolution) digital elevation model with world-wide coverage at a resolution suitable for regional to continental scale analyses. Dataset SummaryThis layer provides access to a 250m cell-sized raster created from the Global Multi-resolution Terrain Elevation Data 2010 7.5 arcsecond mean elevation product. The dataset represents a compilation and synthesis of 11 different existing raster data sources. The data were published in 2011 by the USGS and the National Geospatial-Intelligence Agency.The dataset is documented in the publication: Danielson and Gesch. 2011. Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010). U.S. Geological Survey Open-File Report 2011–1073, 26 p.The source data for this layer are available here.This layer is part of a larger collection of landscape layers that you can use to perform a wide variety of mapping and analysis tasks.The Living Atlas of the World provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.Geonet is a good resource for learning more about landscape layers and the Living Atlas of the World. To get started see the Living Atlas Discussion Group.The Esri Insider Blog provides an introduction to the Ecophysiographic Mapping project.

Melting snowpack is a key part of the spring water budget in many parts of the world. Like a natural reservoir, snowpack stores winter precipitation and releases it as runoff over the course of many months. Where summer rains are scarce snowpack provides crucial base flow without which rivers might go dry. Where summer rains are torrential, this exacerbates the flooding and can lead to the loss of lives. This map contains a historical record showing the water stored in snowpack during each month from March 2000 to the present. It is not a map of snow depth, but of snow water equivalent, which is the amount of water that would be produced if all the snow melted. For fresh snow, this can be anywhere from 5% to 20% the depth of the snow, depending on temperature (snow tends to be fluffier at lower temperatures). As the snow settles and melts, it becomes more dense, up to 40% or 50% in the spring. Temperature, albedo (the reflective property of the snow), density, and volume all affect the melting rate of the snowpack. Additionally, melting rate is influenced by wind, relative humidity, air temperature and solar radiation.Dataset SummaryThe GLDAS Snowpack layer is a time-enabled image service that shows average monthly snowpack from 2000 to present, measured in millimeters of snow water equivalent. It is calculated by NASA using the Noah land surface model, run at 0.25 degree spatial resolution using satellite and ground-based observational data from the Global Land Data Assimilation System (GLDAS-1). The model is run with 3-hourly time steps and aggregated into monthly averages. Review the complete list of model inputs, explore the output data (in GRIB format), and see the full Hydrology Catalog for all related data and information!What can you do with this layer?This layer is suitable for both visualization and analysis. It can be used in ArcGIS Online in web maps and applications and can be used in ArcGIS Desktop. Is useful for scientific modeling, but only at global scales. The GLDAS snowpack data is useful for modeling, but only at global scales. Time: This is a time-enabled layer. It shows the total evaporative loss during the map's time extent, or if time animation is disabled, a time range can be set using the layer's multidimensional settings. The map shows the sum of all months in the time extent. Minimum temporal resolution is one month; maximum is one year.Important: You must switch from the cartographic renderer to the analytic renderer in the processing template tab in the layer properties window before using this layer as an input to geoprocessing tools.This layer has query, identify, and export image services available. This layer is part of a larger collection of earth observation maps that you can use to perform a wide variety of mapping and analysis tasks.The Living Atlas of the World provides an easy way to explore the earth observation layers and many other beautiful and authoritative maps on hundreds of topics.Geonet is a good resource for learning more about earth observations layers and the Living Atlas of the World. Follow the Living Atlas on GeoNet.

When precipitation falls on the surface of the Earth, much of it is captured in storage (e.g. lakes, aquifers, soil moisture, snowpack, and vegetation). Precipitation that exceeds the storage capacity of the landscape becomes runoff, which flows into river systems. Overland flow is the most visible form of runoff, causing erosion and flash floods, but subsurface flow is the larger contributor in many watersheds. Subsurface flow can emerge on the surface through springs, or more commonly, seep into rivers and lakes through their banks. In urban areas, impervious land cover drastically increases the amount of surface runoff generated, which sweeps trash and urban debris into waterways and increases the likelihood and severity of flash floods. In agricultural areas, surface or subsurface runoff can carry excess salts and nutrients, especially nitrogen and phosphorus. This map contains a historical record showing the amount of runoff generated each month from March 200 to present. It is reported in millimeters, so multiply by a surface area to calculate the total volume of runoff.Dataset SummaryThe GLDAS Runoff layer is a time-enabled image service that shows average monthly runoff from 2000 to the present measured in millimeters. It is calculated by NASA using the Noah land surface model, run at 0.25 degree spatial resolution using satellite and ground-based observational data from the Global Land Data Assimilation System (GLDAS-1). The model is run with 3-hourly time steps and aggregated into monthly averages. Review the complete list of model inputs, explore the output data (in GRIB format), and see the full Hydrology Catalog for all related data and information!What can you do with this layer?This layer is suitable for both visualization and analysis. It can be used in ArcGIS Online in web maps and applications and can be used in ArcGIS Desktop. t is useful for scientific modeling, but only at global scales.Time: This is a time-enabled layer. It shows the total runoff generated during the map's time extent, or if time animation is disabled, a time range can be set using the layer's multidimensional filter. The map shows the sum of all months in the time extent. Minimum temporal resolution is one month; maximum is one year.Variables: This layer has two variables: surface flow and subsurface flow. By default the two are summed, but you can view either by itself using the multidimensional filter. You must disable time animation on the layer before using its multidimensional filter.Important: You must switch from the cartographic renderer to the analytic renderer in the processing template tab in the layer properties window before using this layer as an input to geoprocessing tools.This layer has query, identify, and export image services available. This layer is part of a larger collection of earth observation maps that you can use to perform a wide variety of mapping and analysis tasks.The Living Atlas of the World provides an easy way to explore the earth observation layers and many other beautiful and authoritative maps on hundreds of topics.Geonet is a good resource for learning more about earth observations layers and the Living Atlas of the World. Follow the Living Atlas on GeoNet.

When precipitation falls on the surface of the Earth, much of it is captured in storage (e.g. lakes, aquifers, soil moisture, snowpack, and vegetation). Precipitation that exceeds the storage capacity of the landscape becomes runoff, which flows into river systems. Overland flow is the most visible form of runoff, causing erosion and flash floods, but subsurface flow is the larger contributor in many watersheds. Subsurface flow can emerge on the surface through springs, or more commonly, seep into rivers and lakes through their banks. In urban areas, impervious land cover drastically increases the amount of surface runoff generated, which sweeps trash and urban debris into waterways and increases the likelihood and severity of flash floods. In agricultural areas, surface or subsurface runoff can carry excess salts and nutrients, especially nitrogen and phosphorus. This map contains a historical record showing the amount of runoff generated each month from March 2000 to present. It is reported in millimeters, so multiply by a surface area to calculate the total volume of runoff.Dataset SummaryThe GLDAS Runoff layer is a time-enabled image service that shows average monthly runoff from 2000 to the present measured in millimeters. It is calculated by NASA using the Noah land surface model, run at 0.25 degree spatial resolution using satellite and ground-based observational data from the Global Land Data Assimilation System (GLDAS-1). The model is run with 3-hourly time steps and aggregated into monthly averages. Review the complete list of model inputs, explore the output data (in GRIB format), and see the full Hydrology Catalog for all related data and information!What can you do with this layer?This layer is suitable for both visualization and analysis. It can be used in ArcGIS Online in web maps and applications and can be used in ArcGIS Desktop. t is useful for scientific modeling, but only at global scales.Time: This is a time-enabled layer. It shows the total runoff generated during the map's time extent, or if time animation is disabled, a time range can be set using the layer's multidimensional filter. The map shows the sum of all months in the time extent. Minimum temporal resolution is one month; maximum is one year.Variables: This layer has two variables: surface flow and subsurface flow. By default the two are summed, but you can view either by itself using the multidimensional filter. You must disable time animation on the layer before using its multidimensional filter.Important: You must switch from the cartographic renderer to the analytic renderer in the processing template tab in the layer properties window before using this layer as an input to geoprocessing tools.This layer has query, identify, and export image services available. This layer is part of a larger collection of earth observation maps that you can use to perform a wide variety of mapping and analysis tasks.The Living Atlas of the World provides an easy way to explore the earth observation layers and many other beautiful and authoritative maps on hundreds of topics.Geonet is a good resource for learning more about earth observations layers and the Living Atlas of the World. Follow the Living Atlas on GeoNet.

Inwinning: 1997-2003 en 2007-2012

Deze kaartlaag geeft een overzicht van alle beschikbare kaartbladen van het Actueel Hoogtebestand Nederland (AHN1 en AHN2). Het is mogelijk om door middel van een pop-up informatie over het desbetreffende kaartblad te krijgen. Via de pop-up kunt u ook gemakkelijk de verschillende AHN1- en AHN2-bestanden downloaden.

Zodra u op een link klikt om het bestand te downloaden, dan doet u dit direct bij PDOK. De links verwijzen allemaal direct naar de juiste kaartbladen in de Atomfeed-downloads van PDOK. Voor vragen/opmerkingen over de downloads (zoals snelheid, beschikbaar) adviseren wij u om contact op te nemen met PDOK.

PDOK maakt onderscheid in de volgende AHN2-datasets:

Het AHN2 0,5 meter maaiveldraster, opgevuld is bedoeld als maaiveldbestand, waarbij alle niet-maaiveld objecten (bomen, gebouwen, bruggen en andere objecten) uit de puntenwolk zijn verwijderd. Incidentele No-Data cellen zijn opgevuld.

Het AHN2 0,5 meter maaiveldraster, niet-opgevuld is bedoeld als maaiveldbestand, waarbij alle niet-maaiveld objecten (bomen, gebouwen, bruggen en andere objecten) uit de puntenwolk zijn verwijderd. Er zijn geen verdere bewerkingen uitgevoerd.

Het AHN2 0,5 meter ruwe raster, opgevuld is bedoeld als ruw bestand, waarbij zowel het maaiveld als de niet-maaiveld objecten (bomen, gebouwen, bruggen en andere objecten) vanuit de puntenwolk tot een 0,5 meter raster zijn herbemonsterd. Er zijn geen verdere bewerkingen uitgevoerd.

Het AHN2 5 meter maaiveldraster is bedoeld als maaiveldbestand en is herbemonsterd op basis van het 0,5 meter raster op basis van een ongewogen gemiddelde methode. Er zijn geen verdere bewerkingen uitgevoerd.

De AHN2 gefilterde puntenwolk is een maaiveldbestand, waarbij alle niet-maaiveld objecten (bomen, gebouwen, bruggen en andere objecten) uit de puntenwolk zijn verwijderd.

De AHN2 uitgefilterde puntenwolk is een niet-maaiveldbestand, het bevat alle niet-maaiveld objecten (bomen, gebouwen, bruggen en andere objecten) die uit de originele puntenwolk zijn verwijderd.

Door samenvoeging van de gefilterde en de uitgefilterde puntenwolk wordt een ruwe puntenwolk verkregen, waarbij naast het maaiveld en de niet-maaiveldobjecten samenkomen. PDOK maakt onderscheid in de volgende AHN1-datasets:

Het AHN1 5 meter maaiveldraster is bedoeld als maaiveldbestand, waarbij alle niet-maaiveld objecten (bomen, gebouwen, bruggen en andere objecten) uit de puntenwolk zijn verwijderd. Dit geldt niet voor stedelijke gebieden kleiner dan 1 km2, deze zijn in het bestand ongefilterd gebleven. Vervolgens is herbemonsterd tot een 5 meter raster op basis van een Squared IDW methode.

De AHN1 gefilterde puntenwolk is een maaiveldbestand, waarbij alle niet-maaiveld objecten (bomen, gebouwen, bruggen en andere objecten) uit de puntenwolk zijn verwijderd. Dit geldt niet voor stedelijke gebieden kleiner dan 1 km2, deze zijn in het bestand ongefilterd gebleven.

De AHN1 uitgefilterde puntenwolk is een niet-maaiveldbestand, het bevat alle niet-maaiveld objecten (bomen, gebouwen, bruggen en andere objecten) die uit de originele puntenwolk zijn verwijderd.

Naast deze feature service heeft Esri Nederland een web app waarmee je de AHN kan downloaden beschikbaar gesteld. Deze kaartlaag maakt onderdeel uit van een uitgebreide collectie van hoogtebestanden die gebruikt kunnen worden voor geografische analyses. Meer AHN kaartlagen kunnen gevonden worden in de groeen Actueel Hoogtebestand Nederland en Ruimte

Deze kaartlaag wordt aangeboden vanuit Esri Nederland Content. Esri Nederland Content biedt landsdekkende data en services aan die gebruikt kunnen worden in het ArcGIS platform. Het content-team actualiseert het aanbod en voegt geregeld nieuwe content toe. Door content van Esri Nederland te combineren met andere gegevens creëert u snel en eenvoudig nieuwe informatieproducten. Meer informatie over het content aanbod is te vinden via: esri.nl/content. Heeft u vragen of opmerkingen dan horen wij dat graag via content@esri.nl. Volg ons op GeoNet om op de hoogte te blijven van al het Esri Nederland Content-nieuws.