Skip to main content

Advanced Search

Projected result for your current search: 0

Search Operators:

You can use operators in your search query to narrow down your results even more. Click on the search operator to see an explanation of how it works.
Finds documents with exactly this word group, in exactly this word order and spelling (e.g. "employer branding").
Finds documents with both search terms (e.g. sales AND bonus).
Finds documents with one or the other search term (e.g. porsche OR volkswagen).
Finds documents with all search terms. Blank space is understood as AND (e.g. man robot production).
Finds documents with no appearance of the word behind NOT (e.g. ford NOT "harrison ford").
Finds documents where the search term is mentioned at least "n" times."n" may be any number (e.g. COUNT(gear)>8).
Finds documents with both search terms in any word order, permitting "n" words as a maximum distance between them. Best choose between 15 and 30 (e.g. NEAR(recruit, professionals, 20)).
Finds documents with the search term in word versions or composites. The asterisk * marks whether you wish them BEFORE, BEHIND, or BEFORE and BEHIND the search term (e.g. lightweight*, *lightweight, *lightweight*).
Finds documents with the search term in different spellings. "?" allows only one character (e.g. organi?ation).
Special characters are understood as AND (e.g. Miller Bros. & Sons).

Semantic Search

powered by (Link opens in a new window)
loading …
Log in
Top

Extracting Aquaculture Ponds from Natural Water Surfaces Around Inland Lakes Through GEE Datasets: A Case-Study of River Krishna Delta in South India

  • 2026
  • OriginalPaper
  • Chapter
Published in:
Authors
Saravanan Subbarayan
Ramanarayan Sankriti
Dakshinamurthy Ravi Nemani
Divya Ranganathachar
E. Arivoli
Niraimathi Janardhanam
Published in
Proceedings of International Conference on Advances in Materials, Modeling, and Analysis for Sustainable and Resilient Infrastructure Volume 1
Publisher
Springer Nature Singapore

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This study explores the use of Google Earth Engine (GEE) datasets and machine learning techniques to map aquaculture ponds in the Krishna River Delta, South India. The research focuses on the application of the Modified Normalized Difference Water Index (MNDWI) and the Random Forest (RF) algorithm to accurately identify and map aquaculture ponds. The study area, the Krishna Delta, is known for its fertile land and extensive water resources, making it ideal for aquaculture. The methodology involves acquiring Sentinel-2 imagery, pre-processing the data, and applying the MNDWI and RF classifier to detect water bodies. The results show that positive MNDWI values indicate suitable areas for aquaculture, with higher values representing clearer water bodies. The study also validates the accuracy of the mapped aquaculture ponds by comparing them with existing aquafarms. The findings highlight the potential of remote sensing and machine learning techniques for sustainable aquaculture management and provide valuable insights for professionals in the field.
AI Generated

This summary of the content was generated with the help of AI.

Already a customer? Then log in here to gain access.

Customer login

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Business + Economics & Engineering + Technology"

Online-Abonnement

Springer Professional "Business + Economics & Engineering + Technology" gives you access to:

  • more than 130.000 books
  • more than 540 journals

from the following subject areas:

  • Automotive
  • Construction + Real Estate
  • Business IT + Informatics
  • Electrical Engineering + Electronics
  • Energy + Sustainability
  • Finance + Banking
  • Management + Leadership
  • Marketing + Sales
  • Mechanical Engineering + Materials
  • Surfaces + Materials Technology
  • Insurance + Risk


Secure your knowledge advantage now!

inform now

Springer Professional "Engineering + Technology"

Online-Abonnement

Springer Professional "Engineering + Technology" gives you access to:

  • more than 75.000 books
  • more than 390 journals

from the following specialised fileds:

  • Automotive
  • Business IT + Informatics
  • Construction + Real Estate
  • Electrical Engineering + Electronics
  • Energy + Sustainability
  • Mechanical Engineering + Materials
  • Surfaces + Materials Technology





 

Secure your knowledge advantage now!

inform now

Springer Professional "Business + Economics"

Online-Abonnement

Springer Professional "Business + Economics" gives you access to:

  • more than 100.000 books
  • more than 340 journals

from the following specialised fileds:

  • Construction + Real Estate
  • Business IT + Informatics
  • Finance + Banking
  • Management + Leadership
  • Marketing + Sales
  • Insurance + Risk



Secure your knowledge advantage now!

inform now

For explorers: Get to know our platforms better with a free registration.

Register for free
previous chapter Unveiling the Power of Nature: A Review of Nature-Based Solutions for Groundwater Management and Consumption
next chapter A Conceptual Proposal for a Detachable Grain Storage Silo
Title
Extracting Aquaculture Ponds from Natural Water Surfaces Around Inland Lakes Through GEE Datasets: A Case-Study of River Krishna Delta in South India
Authors
Saravanan Subbarayan
Ramanarayan Sankriti
Dakshinamurthy Ravi Nemani
Divya Ranganathachar
E. Arivoli
Niraimathi Janardhanam
Copyright Year
2026
Publisher
Springer Nature Singapore
Book
Proceedings of International Conference on Advances in Materials, Modeling, and Analysis for Sustainable and Resilient Infrastructure Volume 1

Print ISBN: 978-981-9502-28-8

Electronic ISBN: 978-981-9502-29-5

Copyright Year: 2026

DOI
https://doi.org/10.1007/978-981-95-0229-5_14
This content is only visible if you are logged in and have the appropriate permissions.