Scribd
Upload
7 views2 pages

QGIS Test Task

The document outlines a task to obtain soil moisture data from Sentinel-2 satellite imagery, detailing the download process and calculations for the Moisture Index. The data was collected for a specified location in Chhattisgarh, India, with a time range from December 17, 2023, to January 17, 2024. The Moisture Index values derived from the analysis range from -0.635478 to 0.421454, indicating varying levels of vegetation water content.

Uploaded by

Manas Dash
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
7 views2 pages

QGIS Test Task

The document outlines a task to obtain soil moisture data from Sentinel-2 satellite imagery, detailing the download process and calculations for the Moisture Index. The data was collected for a specified location in Chhattisgarh, India, with a time range from December 17, 2023, to January 17, 2024. The Moisture Index values derived from the analysis range from -0.635478 to 0.421454, indicating varying levels of vegetation water content.

Uploaded by

Manas Dash
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
You are on page 1/ 2

QGIS Test Task:

Objective: Get data from satellite such as soil moisture in numeric form.

Requirements:

1. Use any free account of sentinel satellite or create one.


2. Show soil moisture data of the field.

Additional Considerations:

1. Tell us the time interval of data collection.


2. Note the procedure and share all the information on gm@agrimo.co

Process & Answers


I have considered to download Sentinel-2 data for the following reason:

Sentinel-2 provides high-resolution images in the visible and infrared wavelengths, to monitor
vegetation, soil and water cover, inland waterways and coastal areas.

Each Sentinel-2 satellite takes 100.6 minutes for an entire orbit, with S2A and S2B orbiting 180 degree
apart. By setting a time interval to less than 50 minutes, there should be no overlap possible between
different acquisitions, even near the poles.

The Sentinel-2 mission is providing global coverage of Earth's land surface every 10 days with the first
spacecraft, reducing to every 5 days once both are in orbit.

Downloaded data from https://dataspace.copernicus.eu/ for a location near Kasdol, Chatishgarh for a
rectangular shape drawn for reference with a cloud cover of 5% and Time Range from 17-12-2023 to 17-
01-2024.

From the available data, I found


S2A_MSIL2A_20240105T050211_N0510_R119_T44QPK_20240105T075552.SAFE as the latest data
with 0 cloud coverage, which I Downloaded to my local system.

I have used the 20m resolution Image data, as the band11 data is available in 20m/60m Resolution only.
I have added the T44QPK_20240105T050211_B8A_20m.jp2 and
T44QPK_20240105T050211_B11_20m.jp2 Raster data Images to calculate the Moisture Index for the
given area.

Moisture Index =(8A-11)/(8A+11)

Moisture Index tiff file can be generated from Raster Calculation using both the raster files and above
calculation and can be save to the given location.

Please find the below image with Moisture Index value varies from -0.635478 to 0.421454

Index source from Sentinel-2

Normalized Difference Moisture Index (NDMI)


The normalized difference moisture Index (NDMI) is used to determine vegetation water content and monitor
droughts. The value range of the NDMI is -1 to 1. Negative values of NDMI (values approaching -1) correspond to
barren soil. Values around zero (-0.2 to 0.4) generally correspond to water stress. High, positive values represent
high canopy without water stress (approximately 0.4 to 1).

You might also like