5. Visualization
This section will give an overview of the visualization of images in different forms.

5.1 Ortho Image

An orthomosaic is a huge, high-resolution image created by stitching together multiple smaller images known as orthophotos.
An orthoimage tab is available on the sidebar menu. The popup of the orthoimage will be displayed, if an orthoimage is created, by clicking on the orthoimage.
Ortho image
You can delete the ortho image by clicking on the 'Delete' button. The confirmation message will be displayed before the actual deletion. Once the image is deleted, it cannot be recovered so be careful while deleting the images.
Note: Once the image is deleted, it cannot be recovered so be careful while deleting the images.
At the center bottom, the user can see different layers. If clicked on ortho tab then ortho image will be shown.
Ortho image

5.1.1 Image Analysis

You can see an image analysis pop-up when clicking on orthoimage as shown in the image below:
Image Analysis
Plant Health:
Healthy plants reflect light differently than diseased plants. Plants that are in good health tend to reflect more green light than red light, which is why they appear green. Plants also emit near-infrared light, which is invisible to the naked eye but detectable by near-infrared sensors.
Plant health algorithms such as NDVI and VARI assess the proportions of light collected across different bands (red, green, blue, and occasionally near-infrared) to compute numerical values for each pixel or area in a given drone map. Maps with plant health algorithms are then colored based on those numerical values, making it easy to distinguish between healthy and unhealthy areas.

5.2 NDVI image (Normalized Difference Vegetation Index)

NDVIβ€―or greenness index is an indicator that shows the greenness, density, and health of vegetation in each pixel of a satellite image.
NDVI is a widely and commonly used remote sensing technology for identifying vegetation and assessing plant health. NDVI has been the industry standard for understanding plant health from many years. To quantify healthy plant life under a variety of situations, NDVI compares near infrared light.
< 0
Inanimate / dead material such as roads, buildings, soils, or dead plants
0 to 0.33
Unhealthy plant material
0.33 to 0.66
Healthy Plant Material
> 0.66
Very Healthy Plant Material
NDVI index Value
You can see the NDVI image by clicking on the NDVI tab at the center bottom of the screen. A plant health popup will be seen.
Before applying NDVI
NDVI image

5.3 DSM Image (Digital Surface Models)

A digital surface model (DSM) is an elevation model that contains the elevation of the terrain as well as above-ground features such as buildings, vegetation, towers, and other infrastructure.
- By clicking on the DSM tab at the bottom of the screen, a small pop-up will be displayed which will show DSM & DTM tabs (as shown in the image below).
- You can see the DSM image by clicking on the DSM option.
DSM Image

5.4 DTM (Digital Terrain Model)

In some countries, a DTM is actually synonymous with a DEM. This means that a DTM is simply an elevation surface representing the bare earth referenced to a common vertical datum. In the United States and other countries, a DTM has a slightly different meaning. A DTM is a vector data set composed of regularly spaced points and natural features such as ridges and break lines. A DTM augments a DEM by including linear features of the bare-earth terrain.
By clicking on DTM tab, you can open DTM image.
DTM Image
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On this page
5.1 Ortho Image
5.1.1 Image Analysis
5.2 NDVI image (Normalized Difference Vegetation Index)
5.3 DSM Image (Digital Surface Models)
5.4 DTM (Digital Terrain Model)