You work as a private drone consultant helping the Federal Aviation Administration (FAA) with their air traffic control tower inspections. The control tower at Buchanan Field Airport in California is due for an inspection and you have been tasked to ensure it is in good condition to eliminate any possible downtime.
In this tutorial, you'll perform an inspection using your drone imagery in ArcGIS Drone2Map. Creating an inspection allows you to review the images from the flight and find any potential problems or areas that require maintenance safely. The inspection results will then be shared out through an inspection report and your ArcGIS organization.
In this tutorial, you will take the role of a Kenyan conservation professional using spatially informed decision making tools to prioritize areas for conservation to reach 30x30 in Kenya.
You will use layers from ArcGIS Living Atlas of the World to determine how much area is currently conserved and how much more needs to be conserved to meet that goal. Once you have done so, you will use Suitability Modeler in ArcGIS Pro to analyze multiple data layers to determine high priority areas for conservation in order to meet targets of the UN Kunming-Montreal Global Biodiversity Framework (GBF).
Python scripting makes it possible to automate workflows in ArcGIS Pro. In this tutorial, you will start with a working script that automates a typical geoprocessing workflow. You will use this script to create a custom Python script tool that can be used by others in ArcGIS Pro. Making a script tool allows your code to be shared with others, who can use it without knowing Python.
One important characteristic of imagery data is its resolution. There are four types of resolution: spatial, temporal, spectral, and radiometric. In this tutorial, you'll learn about spatial resolution.
You'll become familiar with the concept of spatial resolution and examine satellite imagery of different spatial resolutions in ArcGIS Pro. Your exploration will focus on the region of Pembamoto, Tanzania, where an innovative regreening project is taking place. You'll also apply your knowledge of spatial resolution to change the cell size of imagery using resampling and verify your results using the measuring tools.
The New York City Department of Parks and Recreation (DPR) maintains a database of capital improvement projects as a .csv table. However, other departments within the city would like to know additional information about each capital project, such as the age of each project from its initial design or which neighborhood contains each capital project.
In the past, adding additional information to this list of park projects has been a time-consuming, manual process. Specifically, it entails:
To automate this workflow and keep your data up to date, you'll use ArcGIS Data Pipelines to extract information from the New York City's OpenData website, load it into ArcGIS Online, and transform it by adding the requested attributes. Finally, you'll have this data pipeline run on a schedule to keep your list of capital projects current.
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