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

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Resumen

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.

Idioma originalInglés
Título de la publicación alojadaProceedings 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
EditoresMarcelo V. Garcia, Carlos Gordón-Gallegos, Asier Salazar-Ramírez, Carlos Nuñez
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas3-13
Número de páginas11
ISBN (versión impresa)9783031709807
DOI
EstadoPublicada - 2024
EventoInternational Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2023 - Ambato, Ecuador
Duración: 6 nov. 202310 nov. 2023

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen797 LNNS
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

ConferenciaInternational Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2023
País/TerritorioEcuador
CiudadAmbato
Período6/11/2310/11/23

Nota bibliográfica

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

Areas de Conocimiento del CACES

  • 8116A Sistemas de Información

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