SymGEO is proud to announce a new project with the Virginia Department of Transportation (VDOT), designed to explore the use of remote sensing techniques in the identification of wetlands. Traditional wetland delineation requires expert field work, which includes many hours of travel, sampling, and precise survey measurement to delineate what can actually be quite a variable environmental boundary. The best indicators of wetlands tend to be the vegetative species, ground elevation, and hydrology connectivity. Soil sampling and other methods are used to further validate findings, but in today’s data-rich environment, a pretty good indication of wetlands can be gathered through remote sensing.
For this project, LiDAR elevation information was combined with multi-spectral imagery to produce a 6-band composite image using ArcGIS Pro. This composite image was then used in conjunction with National Wetland Inventory (NWI) data to establish training sites for a supervised classification algorithm.
Once a suitable number of training sites were established, the supervised classification algorithm was run on the pilot study area. The results were compared with the National Wetland Inventory data, and a substantial improvement in boundary alignment was noted. This is critical in the accurate measurement of potential impacts to wetlands during road construction or property development, so that an equivalent, mitigating wetland area can be created elsewhere.
It was noted that upland forested areas were sometimes identified as wetland forested areas, indicating that elevation relative to nearest water needs to be included in the classification algorithm. The classification results are currently used as a guide for semi-automated wetland area delineation, but we believe the model could mature to include all required factors and accurately, automatically delineate the wetlands.
If you have supporting data and a need for efficient wetland delineation, SymGEO would love to talk!
Sledding and July don’t usually go together, but what better time to plan out the winter’s adventures? This is the quintessential example of an idea that took 6 months to mature and then a few hours to accomplish, thanks to the power of Web AppBuilder and Landscape Modeler.
Like all great solutions, I was trying to do something else (boring technical details redacted), but happened on the Landscape Modeler which had most of the needed architecture already in place. By wrapping the model into an application configured using Web AppBuilder, the Sledding Locator was created in a matter of hours.
This application leverages a weighted raster overlay (WRO) model that specifically targets northern-facing sloped areas with roads in the general vicinity. When combined with some of the other basemap layers, particularly imagery to see if it’s relatively open lands, users will be able to tell if it’s worth scouting out for sledding potential following a snow-storm!
From the technical Esri documentation: Weighted overlay has three conceptual steps. First, each raster layer is assigned a weight, as a percentage, in the analysis. This allows you to emphasize the relative importance of each layer in the analysis. Second, values within each raster layer are mapped to a common suitability scale. This allows you to compare the different types of information in each raster layer. Third, all raster layers in the analysis are overlaid. Each raster cell’s suitability value is multiplied by its layer weight and totaled with the values of other raster cells it overlays. The result is a suitability value that is used for symbology in the output raster layer.
A number of other handy tools are included in this mobile responsive application so users can add their own data, add map annotations (drawings and text), or share the application with their friends.
Check it out today and let us know if you have an idea that SymGEO can help you with, or send us pictures of awesome hills you’ve found with the app!
Waze and Esri recently announced an expanded partnership, giving cities easier access to traffic conditions data and incident reports. Esri also has a traffic layer updated every 5 minutes, with road closure notices and other important information included. By combining these near real-time data sources with the marvels of modern technology, SymGEO is pleased to unveil the DC Traffic Dashboard.
Use the DC Traffic Dashboard to plan your commute, see what’s in store, or enjoy your day of telework that much more! Contact SymGEO for more info or for your own handy-dandy dashboard.
Picture this: a vibrant community, a bustling retail environment, actively engaged citizens – sounds pretty amazing, and a neighborhood you would like to live in, am I right? Studies have shown that community engagement and business development are key ingredients for a successful neighborhood. Rapid advancements in technology have made it easier than ever to engage with your citizens and neighbors, and to create a real sense of ownership and responsibility for the direction of the community. To illustrate this point, SymGEO has put together a Downtown: Energize! initiative using ArcGIS Hub technology.
The site has garnered critical acclaim from residents and business owners, and has been featured in several newspaper publications. It also show-cases a commercial real-estate management system that is perfect for keeping track of who is located where and what is coming soon.
Downtown: Energize! literally has something for everyone, including:
An idea section for the community to voice what type of retail they would like to see, powered by Survey123.
Word-clouds generated from community surveys into the types of retail that are needed
An opportunity locator section to highlight available commercial properties, powered by GeoForms and Web AppBuilder