Correlación de la variación climática y los valores NDVI mediante escenas Landsat en la penillanura amazónica de Yurimaguas - Perú, de 1984 a 2023

Translated title of the contribution: Correlation of climate variation and NDVI values using Landsat scenes in the Amazonian penillanura of Yurimaguas - Peru, from 1984 to 2023
  • Milagros Daniela Durand Poma
  • , Jose Carlo Contreras Garces
  • , Danitza Mirella Farromeque Pacífico
  • , Alessandra Soto Lopez
  • , Ulises Francisco Giraldo Malca

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Despite the decrease in deforestation rates in the world, it is still an expanding problem in tropical areas such as the Amazon, losing millions of hectares of forests per year, due to weak governance of their territories and driven mainly by agriculture, livestock and a strong expansion of agro-industrial plantations such as oil palm in recent decades. Therefore, it is necessary to know the extent of the impacts generated in the alteration of local climates and how they affect the surrounding populations and ecosystems. Therefore, the objective of the research is to analyze the impact of deforestation and changes in vegetation cover on the variation of temperatures and precipitation in the town of Yurimaguas - Peru, between 1984 and 2023. For this purpose, meteorological data were used to determine changes in the local climate and global warming, processed in Microsoft Excel software, as well as Landsat satellite images, processed in QGIS software, to see the evolution of the landscape by calculating the NDVI. The results show that the maximum and average NDVI of the study area have a negative trend, associated with the increase in temperatures of up to 2 °C in 40 years and the loss of 25% of its primary forests in the last 20 years, which means more than 2,200 hectares deforested in a single year. It is concluded that agroindustrial monocultures such as oil palm, together with other activities that change land use, have a strong impact by removing large tracts of native forests for decades, which is projected in the negative trend shown by the NDVI values, a phenomenon that is due to the greater effect of global warming on the local climate, the reduced water supply to ecosystems and increased levels of evapotranspiration, which affect the water balance of the soil and the vigor of its vegetation..

Translated title of the contributionCorrelation of climate variation and NDVI values using Landsat scenes in the Amazonian penillanura of Yurimaguas - Peru, from 1984 to 2023
Original languageSpanish
Title of host publicationProceedings of the 22nd LACCEI International Multi-Conference for Engineering, Education and Technology
Subtitle of host publicationSustainable Engineering for a Diverse, Equitable, and Inclusive Future at the Service of Education, Research, and Industry for a Society 5.0., LACCEI 2024
PublisherLatin American and Caribbean Consortium of Engineering Institutions
ISBN (Electronic)9786289520781
DOIs
StatePublished - 2024
Externally publishedYes
Event22nd LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2024 - Hybrid, San Jose, Costa Rica
Duration: 17 Jul 202419 Jul 2024

Publication series

NameProceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
ISSN (Electronic)2414-6390

Conference

Conference22nd LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2024
Country/TerritoryCosta Rica
CityHybrid, San Jose
Period17/07/2419/07/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  2. SDG 13 - Climate Action
    SDG 13 Climate Action
  3. SDG 15 - Life on Land
    SDG 15 Life on Land

Fingerprint

Dive into the research topics of 'Correlation of climate variation and NDVI values using Landsat scenes in the Amazonian penillanura of Yurimaguas - Peru, from 1984 to 2023'. Together they form a unique fingerprint.

Cite this