Network of Remote Sensors for Climate Analysis in the Bolívar Province

This study focuses on the development of a climate monitoring system in the three climatic floors of the province of Bolívar through a network of remote and satellite sensors, in order to resolve the scarcity of accessible and scientifically processed meteorological data. The main objective of the project is to generate reliable climate information to predict climate behavior and facilitate decision-making in sectors such as agriculture, tourism and early warning systems. The methodological approach is quantitative, based on the collection of numerical data of key variables (temperature, humidity, atmospheric pressure) captured by sensors installed in different locations. This data is compared with satellite information to generate predictive models. In the first phase of the project, weather stations were installed in Guaranda, El Arenal and Chillanes, connected through GPON and GSM links. The collected data is processed and displayed on a web page in graphic and textual format. Access to satellite information from the GOES-16 satellite improves data accuracy through interpolation of ground and satellite records. This project offers a robust climate monitoring system, the first phases of which have already produced historical data that facilitates trend analysis. A second phase is planned to expand the network and improve predictive models, contributing to a better understanding of the impact of climate change in the region.

Authors

Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-03-11
DOI
https://doi.org/10.52783/jisem.v10i20s.3231
Primary Topic
Environmental and Ecological Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Network of Remote Sensors for Climate Analysis in the Bolívar Province

Henry Fernando Vallejo Ballesteros
Journal of Information Systems Engineering & Management
Environmental and Ecological Studies
article

Network of Remote Sensors for Climate Analysis in the Bolívar Province

Henry Fernando Vallejo Ballesteros
article en

Abstract

This study focuses on the development of a climate monitoring system in the three climatic floors of the province of Bolívar through a network of remote and satellite sensors, in order to resolve the scarcity of accessible and scientifically processed meteorological data. The main objective of the project is to generate reliable climate information to predict climate behavior and facilitate decision-making in sectors such as agriculture, tourism and early warning systems. The methodological approach is quantitative, based on the collection of numerical data of key variables (temperature, humidity, atmospheric pressure) captured by sensors installed in different locations. This data is compared with satellite information to generate predictive models. In the first phase of the project, weather stations were installed in Guaranda, El Arenal and Chillanes, connected through GPON and GSM links. The collected data is processed and displayed on a web page in graphic and textual format. Access to satellite information from the GOES-16 satellite improves data accuracy through interpolation of ground and satellite records. This project offers a robust climate monitoring system, the first phases of which have already produced historical data that facilitates trend analysis. A second phase is planned to expand the network and improve predictive models, contributing to a better understanding of the impact of climate change in the region.

Journal of Information Systems Engineering & ManagementVol. 10(20s)
Openalex Percentile: Top 97%
Environmental and Ecological Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.