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INTRODUCTION TO EARTH DATA ANALYTICS WITH

CMAPIT.IO

CREATE MAPS MEASURE FOREST DENSITY CALCULATE NDVI MEASURE TOPOGRAPHY CREATE QUICK CHARTS

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Table of Content

Quick maps making on cmapit studio 3

Analyse forest raster data 7

NDVI Calculations 9

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1.0 Quick map making on cmapit studio

1.0 how to structure and upload your datasets

Files to upload to cmapit studio can only be in two different file types (file extensions) either

it's a csv spreadsheet file or xlsx spreadsheet file. A good example of the file structure is

below.

The maximum file size that cmapit studio can upload is 10mb spreadsheet file and best to

upload a file size above 5mb when you are running on a computer on 4gb ram and above.

By default after your file upload, the analytics studio will only visualize the first dataset to

confirm the dataset is well structured and then you can click on the option "All" in Fig 1.0 to

visualize all the dataset in the spreadsheet you have uploaded.

Fig: 1.0 After file upload to cmapit studio

Fig 1.1 Sample data structure to upload to cmapit studio

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In Fig 1.0, you can compare only two different columns (variables) to be able to create

simple charts with cmapit studio. Sample charts below in Fig 1.2.

The charts created by selecting and comparing the columns can be downloaded and added

to reports and more. These are quick charts.

Let us revisit the data structure in Fig 1.1, Look out for the column names and identify the

"Longitude and "Latitude" columns. Both columns are very important, and they help you

generate the interactive map below.

Fig 1.3 Charts created by selecting and comparing columns

Fig 1.4 Interactive map generated with the Longitude and Latitude columns

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After uploading the datasets to generate the map in Fig 1.4, the several icons are on the

interactive map are designed to help generate more information from the interactive map,

redesign and possibly create excellent presentations. You can switch base maps with the

icons, draw out coloured radius with the icons, measure distance and more. We have videos

of the use of the icons posted on our twitter account @cmapit. To switch the base map, see

the image below.

Using the icon to switch the base maps makes it very easy to visualize your datasets on

different types of maps. You can also measure the distance between points using one of the

icons. This icon is particularly useful when you are generating data on the proximity

between points of interests. See the image below.

Fig 1.5 Switching base maps while using cmapit studio

Fig 1.6 Measuring distance between points with cmapit studio

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The professionals in the real estate industry too can also work with cmapit studio to

remotely measure real estate of interest, e.g. Land area, housing estate, buildings and many

more. This can also be used by government agencies to generate tax due per building in their

jurisdiction properly.

There are other icons on the interactive map that helps to edit features on the map. To

Learn more about other features, please see the media section of our twitter page

@cmapit.

Another use case is the image below. Where oil spills have occurred and authorities need to

estimate the areas that need remediation efforts or oil spill clean-up effort, the implementing

authority can estimate the scope of the project with cmapit. Image below.

Fig 1.7 Measure real estate with cmapit studio

Fig 1.8 Estimate the scope of oil spill

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Solar panel installation engineers too can find cmapit studio really useful. The software can

help the solar panel installation engineers measure the rooftops of the buildings they are

working on remotely while they develop their bill of quantity for their clients (BOQ). The

image below is a good example of a rooftop being measured with cmapit studio.

2.0 Analyse Forest Rasterised Data

This feature on cmapit studio can help analyse forest canopy remotely. This works on an

algorithm that helps to detect dominant treetops, outline tree crowns using the canopy

height model (CHM). This feature will summarise the height and count of trees within a

defined area. We are still working on research to improve this feature, and it will get better.

Fig 1.9 A rooftop measurement with cmapit studio

Fig 2.0 first plots

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To use the analysed forest rasterised data, please visit the submenu on the image below.

You can get all the rasterised data across the African continent at mapLibrary.org. Find and

download the TIFF files with the file extension .tif and upload to get a result.

Fig 2.1 Result from raster analysis

Fig 2.2 Upload rasterized data to start your analysis

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3.0 NDVI Calculation over an area with cmapit studio

This NDVI calculation feature is Limited to NDVI ready satellite products Like NAIP products

from earth explorer. This feature can only analyse small sized files while we are working to

improve the feature and it is designed to help non-GIS enthusiasts work faster. Please read

more on NAIP satellite products, it's a satellite programme Limited to the United States, and

we hope that it will be extended to other parts of the world.

The image below is the result of a simple upload of a sample file. To get sample files, please

reach out to us at LearnCMAPIT.com.

Conclusion

The cmapit studio is a software designed to make earth data analytics easy for everyone and

to allow everyone create simple interactive maps and charts with minimal interests in GIS or

need to become a GIS expert. The goal is to help everyone explore more on earth data

analytics and to build skills that allow them analyse earth data independently. To Learn more

about cmapit studio, please visit LearnCMAPIT.com.

Fig 3.1 NDVI Plot from simple NAIP data upload