this exercise, you will compute the irrigated land over the study area
using the three Landsat data dated 24 May 2019, 27 July 2019 and 28
August 2019 representing the crop growing period.
How much irrigated area in Sq.km was there in the study area in 2019?
Let’s consider Band 10 as a proxy to Surface temperature
Landsat data and compute NDVI for each date
Step2: NDVI and Temperature over the growing season (represented by three Landsat data)
Step 3: Compute surface area of different land cover types in sq.km
Step 4: Compute statistics to understand the range of NDVI and Temperature over each land cover type
Step 5: Compare average NDVI and Temperature (Histograms?) over the irrigated area to understand unique trends and thresholds
Step 6: Apply those thresholds to extract the irrigated areas.
P.S: Do not use any classification algorithm
Watch below videos to accomplish various steps in this exercise:
Preprocessing Landsat 8 data: Video
Compute NDVI and area statistics:
Aggregate and univariate statistics:
a PowerPoint presentation with slides (submit in pdf) showing the
workflow, statistics, irrigated area map (proper layout) with
boundaries of scheme and study area, and reflection (bullet points) on
the variation of landscape characteristics over three months. Upload
your results to the new discussion channel (Spatial analysis - Exercise)
in the communication forum by 12th June 2021.