Mapping of NDVI in Ecuador During the Last 20 Years Using the Google Earth Engine Cloud Geospatial Tool

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

Abstract

This study was carried out with data from satellite remote Sensing, which provides detailed information about the Earth’s surface. The advantage of remote Sensing is the information about vegetation cover, temperature, seasonal variation, and tropical deforestation, which can be provided to different environmental studies. Nowadays, the advances in cloud computing allow faster answers in the image processing data, and remote Sensing is not the exception in this development. Thus, applications such as Google Earth Engine (GEE) and free satellite data such as Sentinel-2 or the Landsat family let us perceive the surface better and establish some comparison over time. The proposed study uses a GEE App to view vegetation changes using Ecuador’s Normalized Difference Vegetation Index (NDVI) over the last twenty years. The application works with Landsat 7 images showing a projection from 2000 to 2002, Landsat 8 with intervals between 2013 and 2015 and Sentinel 2 for 2022 to 2023. These sensors collect free and available data (without cloud and noise) from the GEE catalogue. Thus, using a colour scale and range of values, the user can experiment with the real changes at the time in terms of vegetation over the Ecuadorian territory. These GEE tools can help different levels of authorities to make faster and more right decisions about spatial planning on the environment. The online application is available at https://cesarivanalvarezmendoza.users.earthengine.app/view/ndvi.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2023) - Innovations in Industrial Engineering and Robotics in Industry - Bridging the Gap Between Theory and Practical Application
EditorsMarcelo V. Garcia, Carlos Gordón-Gallegos, Asier Salazar-Ramírez, Carlos Nuñez
PublisherSpringer Science and Business Media Deutschland GmbH
Pages3-13
Number of pages11
ISBN (Print)9783031709807
DOIs
StatePublished - 2024
EventInternational Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2023 - Ambato, Ecuador
Duration: 6 Nov 202310 Nov 2023

Publication series

NameLecture Notes in Networks and Systems
Volume797 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceInternational Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2023
Country/TerritoryEcuador
CityAmbato
Period6/11/2310/11/23

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

  • Google Earth Engine
  • Landsat
  • NDVI
  • Pattern recognition
  • Remote Sensing
  • Sentinel-2

Cite this