Knowledge-Based Earth Monitoring and Prediction Systems

Knowledge-Based Earth Monitoring and Prediction Systems

Copyright: © 2024 |Pages: 17
DOI: 10.4018/979-8-3693-1850-8.ch003
OnDemand:
(Individual Chapters)
Available
$33.75
List Price: $37.50
10% Discount:-$3.75
TOTAL SAVINGS: $3.75

Abstract

Knowledge-based earth monitoring and prediction system is an innovative tool developed to provide comprehensive insights into Earth's environment and climate. Leveraging advanced methods, artificial intelligence, and machine learning, KEMPS enhances the precision of both short-term and long-term predictions. They combine various statistics resources and expert knowledge to offer valuable insights into the environment and inform selections associated with disaster preparedness, and public coverage. Moreover, research and development of knowledge-based decision support systems for Earth monitoring and prediction will assist users in making informed decisions based on the data. Furthermore, the development of automated forecasting and prediction systems for Earth monitoring and prediction applications should be explored. This way, KEMPS can offer time-applicable, data-based insights and capacity for environmental modifications and forecasts. KEMPS aims to enhance our knowledge of Earth's environmental kingdom, count on changes, and enhance our reaction to global environmental threats.
Chapter Preview
Top

1. Introduction

KEMPS (Knowledge-based Earth Monitoring and Prediction System) is a machine designed to gather, shop, and analyze earth commentary records to provide perception into weather change, atmospheric strategies, and other worldwide environmental adjustments. The gadget evolved by way of NASA to increase the accuracy of environmental prediction fashions by harnessing the electricity of machine mastering and different records-pushed strategies (Mazzarella et al., 2015).KEMPS presents dozens of environmental datasets from an expansion of resources consisting of meteorological satellites, ocean buoys, climate radars, and floor observations. When mixed with system learning algorithms, these datasets allow KEMPS to supply quick- and lengthy-term predictions and model forecasts with unparalleled accuracy. That is vital for selection-making in industries like agriculture, health, and electricity and to permit more informed forecast models.Furthermore, KEMPS leverages the idea of semantic knowledge representation and ontology to efficiently arrange the developing quantities of Earth statement information accumulated utilizing extraordinary resources. At its core, KEMPS contains a visual expertise base of Earth data inside the shape of an ontology-primarily based search engine. It enables researchers to get admission to required datasets quickly and provides precious insights into rising tendencies, modifications, and possibilities that would help grow more powerful Earth observation fashions (Sadly et al., 2009).

KEMPS also uses gadget intelligence strategies like Natural Language Processing and Deep mastering to make the experience of unstructured environmental facts, permitting researchers to find unrecognized styles and tendencies and determine causal relationships among measured variables. Those insights, blended with other geospatial and far-off sensing information, can provide essential shrewd-based selection-making gear to researchers and assist in guiding environmental policies for policymakers. Improving KEMPS offers a unique opportunity to mix human information and device intelligence, which will benefit essential insight into our surroundings and ultimately help make higher selections that could improve the quality of life for future generations.

A knowledge based Earth monitoring and prediction system (Kemps) is a system that provides real-time data from a variety of sources including satellites, ground sensors, and aircraft to help forecast future patterns in Earth’s climate, weather, and environment. Kemps combines data from these sources with knowledge from experts in the fields of climate science, meteorology, and environmental monitoring to create an accurate and reliable forecasting tool. Kemps is used to make predictions about climate change and other environmental phenomena such as ozone depletion, air quality, and drought. It can provide data on areas of the Earth’s surface affected by various natural disasters such as hurricanes, earthquakes, and floods. It can also deliver information about potential dangers to water, soil, and wildlife caused by industrial and agricultural activities. All of these issues are important to governments, businesses, and individuals, so it’s important to have accurate and reliable data available. Kemps can also provide data and analytics to support decision making in the areas of energy, infrastructure, and sustainable development. The system is used by policy makers, stakeholders, and educators to better understand and communicate the impacts of climate change and other environmental issues. Kemps is an important tool for understanding and predicting the Earth’s climate and environment. The system is constantly being updated with new data and insights, so it has the potential to improve the accuracy and reach of predictions.

Complete Chapter List

Search this Book:
Reset