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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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GIS and Remote Sensing in Fisheries Management

Authors: Sanjay Chandravanshi1*, Roshni Kumari2, Devati1 and N. Sarang1;

GIS and Remote Sensing in Fisheries Management

Abstract

Fisheries managers face many problems, most of which involve changes across space and time. Because of this, GIS can be a helpful tool for managing fisheries. It briefly reviews how GIS is currently used in fisheries, then focuses on the practical barriers to adopting GIS and how these can be solved. Overfishing, pollution, habitat damage, and climate change have all contributed to a decline in global fish productivity during the past 40 years. Fish must be properly monitored and managed in order to be protected and used responsibly.This work is aided by remote sensing technology. Ocean conditions such as sea surface temperature, ocean colour (which indicates productivity) and ocean fronts can be measured by satellites and aeroplanes. Where fish congregate is impacted by these circumstances. Scientists can comprehend changes in fish populations by examining this data. Near-real-time information sharing takes place. It saves time and fuel by assisting fishermen in finding fish more quickly. Additionally, it aids researchers in forecasting fisheries and developing more effective plans for sustainable fisheries management. Models are used in conjunction with acoustic, optical, and radar sensors on ships, satellites, and aircraft to enhance fish conservation and harvesting. The paper ends by highlighting how GIS and Remote Sensing are likely to be used soon to help improve fisheries management.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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