Supporting Imagery and Lidar in the ArcGIS platform has been around for a long time. In the ArcGIS Server Space, Image Server became available at 9.3.1. Since then it has evolved to Mosaic Datasets, Image Services, Raster Functions and now raster analytics. Now imagery is really an integral part of the ArcGIS platform. However, it is only as performant when the imagery is managed and configured optimally.
In the Imagery formats and Performance section it details topics such as:
File format suitability
Recommended imagery formats
Working with large mosaics
Storage system performance
If you’re going to be managing imagery and lidar I recommend you reads these documents. They are comprehensive and invaluable. I must admit I have been doing this for 12 years now and there is information on Lidar management that I did not know about.
Esri has discovered a severe issue with an editing workflow in ArcGIS Pro 2.2 Patch 2 (2.2.2) that may incorrectly set feature attribute field values to ‘Null’ when using the Attributes pane.
This problem occurs when multiple features are selected in the tree view of the Attributes pane. If the Tab key is used to navigate between cells in the data grid, tabbing through a cell that displays “(Different values)” sets the field to ‘Null’.
Solution or Workaround
Esri strongly recommends to uninstall the patch.
On Windows, open the Control Panel.
Search for View installed updates. Click this option.
Right-click ‘ArcGIS Pro 2.2 Patch 2 (2.2.2)’ and select Uninstall.
If the previous patch—ArcGIS Pro 2.2 Patch 1 (2.2.1)—is not installed, it can be downloaded from My Esri.
How will Esri correct the issue?
ArcGIS Pro 2.2 Patch 3 (2.2.3) becomes available in early October 2018 and includes a fix for this issue, as well as the other software improvements included with Patches 1 and 2. ArcGIS Pro 2.2 Patch 2 (2.2.2) is no longer available for download.
The Intergovernmental Committee on Surveying and Mapping (ICSM) & Geoscience Australia (GA) recently released the definitions for the GDA2020 datum and associated projected coordinate systems covering Australia and its territories. Esri Australia has been working closely with ICSM & GA to ensure that ArcGIS software products support the new definitions. Version 10.6 of ArcGIS and version 2.1 of ArcGIS Pro both include support for the new datum and projected coordinate systems (you can learn more in the Esri Australia Technical Blog)
Avoiding alignment issues mixing datums:
Web GIS, by default, displays data in the projection WGS84 Web Mercator (auxiliary sphere). When mapping data is shared to ‘Web GIS’, data is automatically reprojected ‘on-the-fly’ to this web projection in order to align with the displayed basemap and fit with the global projection. Most users do not realise that their data is being reprojected and in many instances occurs without issue.
However, while organisations are migrating to GDA2020 from GDA94 and using mixed data containing both datums, these mixed data sources will create a challenge when displayed in WGS84. The issue occurs when data is reprojected to the WGS84 Web Mercator projection. Continue reading →
AUSGeoid2020 to convert GDA2020 ellipsoid heights to the Australian Height Datum.
So what does this mean for the ArcGIS product suite? Well from ArcGIS Pro 2.1 and ArcGIS 10.6 onwards all state, territory and national projections that incorporate the GDA2020 datum are supported.
NOTE: This article refers specifically to ArcGIS 10.6 and ArcGIS Pro 2.1. For later versions of software please install the ArcGIS_Coordinate_Systems_Data_Windows software available from My.Esri to obtain the latest NTv2 files.
Do you often have to georeference raster datasets? Do you find a lot of time is consumed with setting up control points?
Georeferencing was introduced with ArcGIS Pro 1.4 and has the capability to speed up your georeferencing workflows. Auto georeference allows you to automatically georeference your raster dataset to a referenced raster dataset (this can even be a basemap from your Portal or ArcGIS Online). The automated control points are based on the spectral signatures of different locations across the images, so this method is best suited for aerial and satellite imagery which are similar in nature.
The R-ArcGIS Bridge is a little-known secret to improving your methods of geostatistical analysis. By integrating ArcGIS and R you can have the best of both geospatial and statistical platforms. With the R-ArcGIS Bridge you and I can now perform and visualise comprehensive statistical analysis directly in ArcGIS Desktop.
Why would you use R?
R is a powerful platform for solving big data science problems. R is both an open source language and programming environment, widely used for statistical analysis. R offers an online repository with 6,400 statistical problem-solving packages.
The R-ArcGIS Bridge is a way to load your spatial data into R, or, create custom Geoprocessing Tools in ArcGIS that leverage the capabilities of R. The Bridge can be directly connected to either ArcGIS Pro (version 1.1+) or ArcMap (10.3.1+), and R (3.1+) or RStudio. The R-ArcGIS Bridge can then be used with pre-existing tools written in R, without the need to learn any code!
There are several uses of R-ArcGIS Bridge:
Use R functions to read and write spatial data
Convert between data types
Solve complex geostatistical problems
Write, configure, and modify an R script to be executed from a Geoprocessing tool
In previous blogs, I have spoken about how imagery can be utilised within the ArcGIS Platform and how it can be analysed. Through all this it has been about imagery can be viewed downstream. What about the prepossessing or specialised analysis not through web services? Well this is where ArcGIS Pro comes in.
In 2017 Esri has stated that their goal is for ArcGIS Pro to be functionally equivalent or better than the current toolsets in ArcMap. To this end in ArcGIS Pro 1.4 Esri have included a new core tab, Imagery. Core tabs are always on and accessible unlike layer specific tabs which only appear when an entry is selected in the Table of Contents.