TY - GEN
T1 - Remote sensing of Solid Waste Critical Points in Public Spaces
AU - Rosales, Josselyn
AU - Coa, Eldy
AU - Castaneda, Carlos
AU - Benites, Elmer
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Given the problem of the presence of waste in public spaces generated without control by the population, the objective of the research was to identify the critical points where solid waste generated in the district of Comas is deposited from January to April 2020. The methodology used was remote sensing and the use of images from Google maps and Google Earth. The population of the District of Comas is located in Metropolitan Lima, it has a south latitude of 11° 56′ 00″ and a west longitude of 77° 04′ 00″. As a result, 40 critical points of solid waste were identified in various zones of Comas, of which the largest number are located in zones 14 and 8, with 9 and 8 critical points, respectively. Where common waste from housing, weeds, construction, and demolition is predominant. The accumulation of solid waste detected by remote sensing was located in avenues, streets, sidewalks, and open green areas, which were validated and verified by Google Earth and on-site visits to the sites. In this way, the research provides a support method to manage the generation of solid waste left on public roads quickly through remote sensing and is viable for this purpose with the advantage of its low cost for the benefit environmental sustainability.
AB - Given the problem of the presence of waste in public spaces generated without control by the population, the objective of the research was to identify the critical points where solid waste generated in the district of Comas is deposited from January to April 2020. The methodology used was remote sensing and the use of images from Google maps and Google Earth. The population of the District of Comas is located in Metropolitan Lima, it has a south latitude of 11° 56′ 00″ and a west longitude of 77° 04′ 00″. As a result, 40 critical points of solid waste were identified in various zones of Comas, of which the largest number are located in zones 14 and 8, with 9 and 8 critical points, respectively. Where common waste from housing, weeds, construction, and demolition is predominant. The accumulation of solid waste detected by remote sensing was located in avenues, streets, sidewalks, and open green areas, which were validated and verified by Google Earth and on-site visits to the sites. In this way, the research provides a support method to manage the generation of solid waste left on public roads quickly through remote sensing and is viable for this purpose with the advantage of its low cost for the benefit environmental sustainability.
KW - Remote sensing
KW - hotspots
KW - solid waste
KW - waste management
UR - http://www.scopus.com/inward/record.url?scp=85123616141&partnerID=8YFLogxK
U2 - 10.1109/CONIITI53815.2021.9619670
DO - 10.1109/CONIITI53815.2021.9619670
M3 - Conference contribution
AN - SCOPUS:85123616141
T3 - 2021 7th Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2021 - Conference Proceedings
BT - 2021 7th Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2021 - Conference Proceedings
A2 - Morales, Victor Manuel Fontalvo
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2021
Y2 - 29 September 2021 through 1 October 2021
ER -