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Ecogrid: A serverless AWS solution for vegetation encroachment severity evaluation using contour detection and area ratio algorithm with open-source satellite imagery Cover

Ecogrid: A serverless AWS solution for vegetation encroachment severity evaluation using contour detection and area ratio algorithm with open-source satellite imagery

Open Access
|Jul 2025

Figures & Tables

Figure 1:

Data preprocessing ROI extraction by cropping. ROI, region of interest.
Data preprocessing ROI extraction by cropping. ROI, region of interest.

Figure 2:

Color conversion from RGB to gray scale. RGB, red, green, blue.
Color conversion from RGB to gray scale. RGB, red, green, blue.

Figure 3:

Binary inversion of the image in gray scale.
Binary inversion of the image in gray scale.

Figure 4:

Vegetation cover detected in the image.
Vegetation cover detected in the image.

Figure 5:

Serverless system architecture for vegetation detection system.
Serverless system architecture for vegetation detection system.

Figure 6:

S3 bucket event triggering Lambda function for monitoring.
S3 bucket event triggering Lambda function for monitoring.

Figure 7:

Snapshot of S3 bucket used as a data lake.
Snapshot of S3 bucket used as a data lake.

Figure 8:

Image uploaded in the S3 bucket.
Image uploaded in the S3 bucket.

Figure 9:

CloudWatchLogs: Severity color detected by algorithm as blue.
CloudWatchLogs: Severity color detected by algorithm as blue.

Figure 10:

Power grid corridor marked as blue on the web dashboard.
Power grid corridor marked as blue on the web dashboard.
Language: English
Submitted on: Mar 12, 2025
Published on: Jul 14, 2025
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year

© 2025 Sonali Patil, Sonali Kothari, Devata Raghunath Anekar, Shweta Koparde, Avishkar Patil, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.