Artificial Intelligence: Applications, Benefits, and Future Challenges in the Monitoring and Prediction of Earth Observations

Artificial Intelligence: Applications, Benefits, and Future Challenges in the Monitoring and Prediction of Earth Observations

Sathyaraj P., Nirmala G., Vijayalakshmi S., Rajakumar S.
Copyright: © 2024 |Pages: 18
DOI: 10.4018/979-8-3693-1850-8.ch001
OnDemand:
(Individual Chapters)
Available
$37.50
Current Special Offers
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

Earth observations have become a developing trend over the last decade because of their ability to enable real-time tracking and forecasting of various environmental phenomena, including landslides, drought, floods, and wildfires. However, conventional approaches in Earth observation have relied on guide processing or human interpretation of the statistics. Via the mixing of AI, the Earth statement's achievement has progressed significantly. AI offers automatic and timely analysis of significant volumes of faraway sensing and satellite TV for computer facts, considering progressed tracking of various natural events and approaches. The software of AI in Earth Remark has enabled several advantages, including improved accuracy in mapping and classification of gadgets, detection of hobby gadgets, which include homes, roads, and forests, and tracking of changes in land use and land cover.
Chapter Preview
Top

1. Introduction

As we comprehend it, the world has rapidly changed in the past two decades with the emergence of synthetic intelligence technologies. A mixture of recent technological advancements, including improved computing strength and accelerated entry to worldwide statistics, has enabled the development of computerized systems with the capacity to interpret Earth remark statistics with increasing accuracy (Dewitte et al., 2021). This era, called artificial intelligence, or AI, is becoming increasingly vital in harvesting and analyzing Earth observations for progressed tracking and prediction of environmental phenomena. Set up AI programs encompassing Earth observations for flood prediction, crop tracking, and oil spill surveillance. AI-enabled solutions are increasingly being deployed, as the era is tremendously suitable for a variety of programs — from vegetation to floods to wildfires. Synthetic intelligence can be used to interpret information from sensors, satellites, and scanners to recognize the changing environment (Russo & Lax, 2022).

AI can revolutionize how we display and expect anomalies in our surroundings. A few examples of the way AI can be utilized in Earth Observations are as follows:

  • •

    Detecting changes in plant life, cowl, or crop health. Using AI algorithms makes it feasible to swiftly interpret and examine satellite TV for PC imagery to display adjustments in plant life, including deforestation and land-use adjustments, and to reveal crop fitness.

  • •

    Monitoring coastal regions. AI may be used to locate changes in sea stage, wave behavior, and ocean salinity. In flip, this will be used to assist in preventing disaster-degree storms along with hurricanes or tsunamis.

  • •

    Reading air pollution. AI may be used to detect subtle modifications in air first-class by analyzing satellite imagery and other information sources. It can be used to discover assets of pollution, supporting inform destiny air quality strategies.

  • •

    Real-time flood monitoring. AI may locate flooding in near actual time by tracking river water stages. It will be used in developing early caution structures to notify citizens of coming near floods.

  • •

    Tracking energy use. AI may be used to reveal power use and pick out inefficiencies. It could be used to inform strength savings plans or to expand renewable strength sources.

Complete Chapter List

Search this Book:
Reset