Integrating and analyzing Raster Grid Data

From remote sensing to drone imagery, raster grid data can take geographic information to a new dimension that nicely complements vector data.

Raster Grid Data

In its simplest form, a raster grid consists of a matrix of cells (or pixels) organized into rows and columns (or a grid) where each cell contains a value representing information, such as temperature, for example. Raster grids are well suited for representing data that changes continuously across a landscape (surface). They provide an effective method of storing the continuity of a surface. Elevation values measured from the earth’s surface are the most common application of surface maps. In addition, values such as rainfall, temperature and emissions concentration can also define surfaces that can be spatially analyzed.

Raster Grid Data

Multi-discipline Use

From geoscience to many other disciplines, raster grid data is beneficial for a wide range of applications. It is often used in agriculture and forestry to manage crop production. For instance, with agricultural satellite images, you can identify areas where plants are growing poorly and then use that information to apply more fertilizer on affected areas only. Foresters use raster data to estimate how much timber can be harvested from an area. Raster data is also crucial for meteorology, disaster management, and industries like insurance, where analyzing risk is very important. For example, analysis of Digital Elevation Models (DEM) or Digital Surface Models (DSM) can be used to define and identify areas that are likely to be flooded.

Multi Discipline Use

From Remote Sensing to Grid Data

As the authoritative record of changing conditions on the ground, remote sensing imagery has a broad array of applications in traditional terrestrial human activities that involve the management of land. Industries like forestry, agriculture, mining, and exploration were among the early adopters of remote sensing, funding its growth. Boosted by the growing popularity and use of drones and imaging devices, the science of remote sensing is now expanding its reach outside of traditional mapping and cartography. The cost to produce high-quality, local Geoscientific data is getting more and more affordable. As more grid data is generated, GIS professionals need ways to share this data online. Raster grid support in CartoVista empowers any GIS user to reach their stakeholders with high-quality data in the cloud, at a reasonable cost.

From Remote Sensing to Grid Data

Cloud Optimized Geotiff for Great Web Performance

The GeoTIFF is one of the most common formats of geospatial grid data. With CartoVista, you can easily upload your GeoTIFF by dragging & dropping, and specifying your grid’s data units. CartoVista takes care of optimizing the data by creating Cloud Optimized GeoTIFFs (COG). Cloud optimized GeoTIFFs offer superior performance by creating appropriate levels (pyramids) of the data at all scales. The CartoVista map engine renderers display the COG grid data with very high efficiency, revealing more details as the user is zooming in on the map.

Cloud Optimized GeoTIFF (COG)

Amazing Rendering Options

The CartoVista viewer leverages the best of the HTML5 canvas with visual options like the Multiply Blend Mode to overlay your grid data on top of other layers while seeing the underlying basemap details. A series of optimized color palettes speed up your map preparation while making your data look polished in just a few clicks. CartoVista can display your grid data with linear (gradient) or discrete colors. You can specify your inflection point values, colors and opacity (transparency) for a maximum of flexibility. For example, you can decide to make a specific range of your data (e.g. Temperature<0 °) transparent. You can also choose to render your grid layer with a shaded relief, a useful feature to give your grid or terrain data a unique style.

Amazing Grid Rendering Options

Leveraging Time Series Data

As measured and quantified information, raster grid data often includes the notion of time series datasets. CartoVista can create a time series from multiple Geotiff datasets with proper timestamps. This includes the ability to create slick map animations to show the evolution of your data. A play button is available to cycle through time, choose the time steps and visualize the changes on the map.

Time Series Data

Inspecting Grid Values Easily

The CartoVista Viewer includes tools to analyze your raster grid data with ease. When you mouse over the map, the associated grid values (and units) are displayed in a datatip, and the value position is shown in the map legend. You can also use the information tool to click on the map and get the value for a specific location.

Inspecting Grid Values Easily

Raster Grid – Profile Analysis

The CartoVista viewer includes a map tool to draw a line segment of the map and get the corresponding profile and statistics (min, max, average). A typical use for this is with elevation data where you get a chart that displays the elevation (e.g. in meters) along a path. As you mouse over on the chart values, the corresponding point is identified on the map.

Raster Grid Profile Analysis

Combining Raster Grid Data with Vector Layers

Raster grid data is useful by itself, but when you overlay appropriate vector information (points of interest, assets, etc.) your users can achieve so much more. With CartoVista, you can include an unlimited number of useful map vector layers that can nicely compliment your imagery data.

Time Series Data

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