Total file size: about 367M in zip format and about 600M after extracted. (To download: click the Download button at the upper right area of this page)Alternatively, you can download the data by chapters:- Go to https://go.esri.com/gtkwebgis4- Under Group Categories on the left, click each chapter, you will see the data file to download for that chapter.

This tutorial will teach you how to take time-series data from many field sites and create a shareable online map, where clicking on a field location brings you to a page with interactive graph(s).

The tutorial can be completed with a sample dataset (provided via a Google Drive link within the document) or with your own time-series data from multiple field sites.

Part 1 covers how to make interactive graphs in Google Data Studio and Part 2 covers how to link data pages to an interactive map with ArcGIS Online. The tutorial will take 1-2 hours to complete.

An example interactive map and data portal can be found at: https://temple.maps.arcgis.com/apps/View/index.html?appid=a259e4ec88c94ddfbf3528dc8a5d77e8

Have you ever wanted to create your own maps, or integrate and visualize spatial datasets to examine changes in trends between locations and over time? Follow along with these training tutorials on QGIS, an open source geographic information system (GIS) and learn key concepts, procedures and skills for performing common GIS tasks – such as creating maps, as well as joining, overlaying and visualizing spatial datasets. These tutorials are geared towards new GIS users. We’ll start with foundational concepts, and build towards more advanced topics throughout – demonstrating how with a few relatively easy steps you can get quite a lot out of GIS. You can then extend these skills to datasets of thematic relevance to you in addressing tasks faced in your day-to-day work.

Contents: This is an ArcGIS Pro zip file that you can download and use for creating map books based on United States National Grid (USNG). It contains a geodatabase, layouts, and tasks designed to teach you how to create a basic map book.Version 1.0.0 Uploaded on May 24th and created with ArcGIS Pro 2.1.3 - Please see the README below before getting started!Updated to 1.1.0 on August 20thUpdated to 1.2.0 on September 7thUpdated to 2.0.0 on October 12thUpdate to 2.1.0 on December 29thBack to 1.2.0 due to breaking changes in the templateBack to 1.0.0 due to breaking changes in the template as of June 11th 2019Updated to 2.1.1 on October 8th 2019Audience: GIS Professionals and new users of ArcGIS Pro who support Public Safety agencies with map books. If you are looking for apps that can be used by any public safety professional, see the USNG Lookup Viewer.Purpose: To teach you how to make a map book with critical infrastructure and a basemap, based on USNG. You NEED to follow the steps in the task and not try to take shortcuts the first time you use this task in order to receive the full benefits. Background: This ArcGIS Pro template is meant to be a starting point for your map book projects and is based on best practices by the USNG National Implementation Center (TUNIC) at Delta State University and is hosted by the NAPSG Foundation. This does not replace previous templates created in ArcMap, but is a new experimental approach to making map books. We will continue to refine this template and work with other organizations to make improvements over time. So please send us your feedback admin@publicsafetygis.org and comments below. Instructions: Download the zip file by clicking on the thumbnail or the Download button.Unzip the file to an appropriate location on your computer (C:\Users\YourUsername\Documents\ArcGIS\Projects is a common location for ArcGIS Pro Projects).Open the USNG Map book Project File (APRX).If the Task is not already open by default, navigate to Catalog > Tasks > and open 'Create a US National Grid Map Book' Follow the instructions! This task will have some automated processes and models that run in the background but you should pay close attention to the instructions so you also learn all of the steps. This will allow you to innovate and customize the template for your own use.FAQsWhat is US National Grid? The US National Grid (USNG) is a point and area reference system that provides for actionable location information in a uniform format. Its use helps achieve consistent situational awareness across all levels of government, disciplines, and threats & hazards – regardless of your role in an incident.One of the key resources NAPSG makes available to support emergency responders is a basic USNG situational awareness application. See the NAPSG Foundation and USNG Center websites for more information.What is an ArcGIS Pro Task? A task is a set of preconfigured steps that guide you and others through a workflow or business process. A task can be used to implement a best-practice workflow, improve the efficiency of a workflow, or create a series of interactive tutorial steps. See "What is a Task?" for more information.Do I need to be proficient in ArcGIS Pro to use this template? We feel that this is a good starting point if you have already taken the ArcGIS Pro QuickStart Tutorials. While the task will automate many steps, you will want to get comfortable with the map layouts and other new features in ArcGIS Pro.Is this template free? This resources is provided at no-cost, but also with no guarantees of quality assurance or support at this time. Can't I just use ArcMap? Ok - here you go. USNG 1:24K Map Template for ArcMapKnown Limitations and BugsZoom To: It appears there may be a bug or limitation with automatically zooming the map to the proper extent, so get comfortable with navigation or zoom to feature via the attribute table.FGDC Compliance: We are seeking feedback from experts in the field to make sure that this meets minimum requirements. At this point in time we do not claim to have any official endorsement of standardization. File Size: Highly detailed basemaps can really add up and contribute to your overall file size, especially over a large area / many pages. Consider making a simple "Basemap" of street centerlines and building footprints.We will do the best we can to address limitations and are very open to feedback!

Lidar (light detection and ranging) imagery provides valuable information in the field of remote sensing, allowing users to determine elevation, vegetation structure, and terrain with remarkable levels of detail. This manual will lead ArcGIS Pro users through the tools and methods needed to access, process, and analyze lidar data through a series of step-by-step tutorials. By completing this series of tutorials, you will be able to: •Manipulate data to create maps and map templates in ArcGIS Pro •Obtain and display lidar imagery •Use ArcGIS Pro tools to process and analyze lidar data •Classify lidar points using different classification methods • Process lidar point clouds to create digital elevation models

List of 144 tutorials of the Youtube channel TutorielGeo: https://www.youtube.com/user/tutorielgeo/featured

More than 200 free tutorial videos on Qgis, Postgis, Geoserver, Pentaho, Talend, Google Earth Pro... as well as webmapping technologies and database management: Oracle, Mysql, SQL Server. Here is the link to the store: https://play.google.com/store/apps/details?id=com.tutorielgeo.mobileapps Here is the link to the website: https://tutorielgeo.com Here is the link of the Youtube channel:https://www.youtube.com/user/tutorielgeo Here is the link to the facebook page: https://www.facebook.com/Tutorielgeo-Geomatic-Tutorial-GIS-Tutorial-Webmapping-Tutorial-325658277554574/ Here is the link to the Twitter account: https://twitter.com/TutorielGeo Here is the link to the Google Plus page: https://plus.google.com/b/117203987416263637144/+tutorielgeo/posts

This file geodatabase contains three feature classes. It includes a point feature class showing tourist attractions in Singapore, a line feature class showing rail lines in Singapore, and a polygon feature class showing rail stations in Singapore.This dataset is used in the tutorial Get started with ArcGIS Pro, but can be used for any purpose.

Jointly managed by NASA and the USGS, Landsat is the longest running spaceborne earth imaging and observation program in history. Landsat Collection 2 Level-2 science products, imagery from 1982 to present, are made publicly available by the USGS. The continuity in this scientific record allows for critical and reliable observation and analysis of Earth processes and changes over time. This imagery layer provides global Landsat 4, 5, 7, 8, and 9 imagery. The layer is time-enabled and includes a number of predefined processing templates for visualization and analysis. Key PropertiesGeographic Coverage: Global landmassesTemporal Coverage: August 22, 1982 to presentSpatial Resolution: 30-meterRevisit Time: ~8-daysProduct Level: Collection 2 Level-2 Science Products (Surface Reflectance and Surface Temperature)Source Data Coordinate System: Universal Transverse Mercator (UTM) WGS84Service Coordinate System: Web Mercator Auxiliary Sphere WGS84 (EPSG:3857)Analysis: Optimized for analysisMultispectral Bands:BandDescriptionWavelength* (µm)Spatial Resolution (m)1Coastal aerosol**0.43 - 0.45302Blue0.45 - 0.52303Green0.52 - 0.60304Red0.63 - 0.69305NIR0.76 - 0.90306SWIR 11.55 - 1.75307SWIR 22.08 - 2.35308Pixel QANA309Surface Temperature (Kelvin)10.4-12.5 30***10Surface Temperature QANA30*This is the max range for each band based on the combined missions. For reference to the distinct ranges for each mission see this document.**Coastal Aerosol is only available from Landsat 8 and 9. For Landsat 4, 5, and 7 this band is simply a place holder and does not contain data.***The thermal band is acquired at 100 or 120 meter resolution and resampled to 30 meters.Learn more about the Quality Assessment (QA) Bands Usage Information and Best PracticesProcessing TemplatesThis layer includes a number of preconfigured processing templates (raster function templates) to provide on-the-fly data rendering and calculations for visualization and analysis. Each processing template includes labels and descriptions to characterize the intended usage. This may include for visualization, for analysis, or for both visualization and analysis. VisualizationThe default rendering on this layer is Natural Color (bands 4,3,2) for Visualization.There are a number of on-the-fly renderings/processing templates designed specifically for data visualization.By default, the most recent and most cloud free scenes from the Landsat archive are prioritized and dynamically fused into a single mosaicked image layer. To discover and isolate specific images for visualization in Map Viewer, try using the Image Collection Explorer. AnalysisIn order to leverage the optimization for analysis, the capability must be enabled by your ArcGIS organization administrator. More information on enabling this feature can be found in the ‘Regional data hosting’ section of this help doc.Optimized for analysis means this layer does not have size constraints for analysis and it is recommended for multisource analysis with other layers optimized for analysis. See this group for a complete list of imagery layers optimized for analysis.Using the "None" processing template option as input to analysis provides all bands with raw pixel values and is recommended for many use cases. Otherwise, only processing templates that include a "for analysis" designation should be used as input to analysis.The appropriate scale and offset, as recommended by USGS, is dynamically applied to the imagery in this layer, providing scientific floating point Surface Reflectance and Surface Temperature pixel values.Prior to running analysis, users should always provide some form of data selection with either a layer filter (e.g. for a specific date range, cloud cover percent, mission, etc.) or by selecting specific images. To discover and isolate specific images for analysis in Map Viewer, try using the Image Collection Explorer. GeneralIf you are new to Landsat imagery, the Landsat Explorer provides a good introductory user experience for working with this imagery layer. For more information, see this Quick Start Guide or this Detailed Tutorial. Data Source Landsat imagery is credited to the United States Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA). The imagery in this layer is sourced from the Microsoft Planetary Computer Open Data Catalog.

The Copernicus Sentinel-2 mission provides optical imagery for a wide range of applications including land, water and atmospheric monitoring. Beginning in 2015, the mission is based on a constellation of identical satellites working in tandem to cover Earth’s land and coastal waters every five days. Each satellite carries a multispectral sensor that generates optical images in the visible, near-infrared and shortwave-infrared part of the electromagnetic spectrum at spatial resolutions of 10, 20, and 60-meters.This imagery layer provides the full archive of Sentinel-2 Level-2A imagery. It is time enabled and includes a number of predefined processing templates for visualization and analysis. Key Properties Geographic Coverage: Global Landmasses - More...Temporal Coverage: 2015 – PresentSpatial Resolution: 10, 20, and 60-meter (see Multispectral Bands table for more information)Revisit Time*: ~5-daysProduct Level: Level-2A Surface ReflectanceSource Data Coordinate System: Universal Transverse Mercator (UTM) WGS84Service Coordinate System: Web Mercator Auxiliary Sphere WGS84 (EPSG:3857)Analysis: Optimized for analysisMultispectal Bands: BandDescriptionWavelength (µm)Spatial Resolution (m)1B1_Aerosols0.433 - 0.453602B2_Blue0.458 - 0.523103B3_Green0.543 - 0.578104B4_Red0.650 - 0.680105B5_RedEdge0.698 - 0.713206B6_RedEdge0.733 - 0.748207B7_RedEdge0.773 - 0.793208B8_NearInfraRed0.785 - 0.900109B8A_NarrowNIR0.855 - 0.8752010B9_WaterVapour0.935 - 0.9556011B11_ShortWaveInfraRed1.565 - 1.6552012B12_ShortWaveInfraRed2.100 - 2.2802013B13_AOTMapNA1014B14_WVPMapNA2015B15_SCLNA20 Usage Information and Best PracticesProcessing TemplatesThis layer includes a number of preconfigured processing templates (raster function templates) to provide on-the-fly data rendering and calculations for visualization and analysis. Each processing template includes labels and descriptions to characterize the intended usage. This may include for visualization, for analysis, or for both visualization and analysis. VisualizationThe default rendering on this layer is Natural Color for Visualization (bands 4,3,2).There are a number of on-the-fly renderings/processing templates designed specifically for data visualization.By default, the most recent and most cloud free scenes from the Landsat archive are prioritized and dynamically fused into a single mosaicked image layer. To discover and isolate specific images for visualization in Map Viewer, try using the Image Collection Explorer. AnalysisIn order to leverage the optimization for analysis, the capability must be enabled by your ArcGIS organization administrator. More information on enabling this feature can be found in the ‘Regional data hosting’ section of this help doc.Optimized for analysis means this layer does not have size constraints for analysis and it is recommended for multisource analysis with other layers optimized for analysis. See this group for a complete list of imagery layers optimized for analysis.Using the "None" processing template option as input to analysis provides all bands with raw pixel values and is recommended for many use cases. Otherwise, only processing templates that include a "for analysis" designation should be used as input to analysis.The appropriate scale factors are dynamically applied to the imagery in this layer, providing scientific floating point Surface Reflectance pixel values.Prior to running analysis, users should always provide some form of data selection with either a layer filter (e.g. for a specific date range, cloud cover percent, mission, etc.) or by selecting specific images. To discover and isolate specific images for analysis in Map Viewer, try using the Image Collection Explorer. GeneralIf you are new to Sentinel-2 imagery, the Sentinel-2 Explorer provides a good introductory user experience for working with this imagery layer. For more information, see this Quick Start Guide or this Detailed Tutorial. Data SourceSentinel-2 imagery is credited to the European Space Agency (ESA) and the European Commission. The imagery in this layer is sourced from the Microsoft Planetary Computer Open Data Catalog.