Results 61 to 70 of about 21,743 (232)

Cloud-based applications for accessing satellite Earth observations to support malaria early warning

Scientific Data, 2022
Malaria epidemics can be triggered by fluctuations in temperature and precipitation that influence vector mosquitoes and the malaria parasite. Identifying and monitoring environmental risk factors can thus provide early warning of future outbreaks ...
Michael C. Wimberly, Dawn M. Nekorchuk, Ramcharan R. Kankanala   +2 more
doaj   +1 more source

Pemetaan Daerah Rawan Ancaman Banjir di Area Kabupaten Kampar Dengan Menggunakan GEE (Google Earth Engine)

JURNAL SAINTIS
[ID] Kabupaten Kampar merupakan salah satu wilayah yang sering mengalami banjir, yang diakibatkan meluapnya sungai Kampar. Sepanjang tahun 2011 – 2017 tercatat paling sedikit telah terjadi bencana banjir 1 (satu) kali dalam setahun. Untuk meminimalisir dampak kejadian banjir, maka perlu dilakukan mempelajari karakteristik curah hujan secara temporal ...
Pratama, Deni, Sutikno, Sigit, Yusa, Muhamad   +2 more
openaire   +2 more sources

Google Earth Engine (GEE): una poderosa herramienta que vincula el potencial de los datos masivos y la eficacia del procesamiento en la nube

, 2020
Desde hace décadas se están produciendo imágenes satelitales para el mundo entero. Sin embargo, ha habido un rezago tecnológico que ha impedido poder analizar la extensa cantidad de información satelital disponible.
Gabriel Perilla, Jean-François Mas
semanticscholar   +1 more source

Land use land cover change detection in the lower Bhavani basin, Tamil Nadu, using geospatial techniques [PDF]

, 2022
Land use land cover (LULC) change detection is essential for sustainable development, planning and management. This study was an attempt to evaluate the LULC change in the lower bhavani basin from 2014 to 2019, using Landsat 8 data integrating Google ...
Kannan, Balaji, Karishma, C. G., Nagarajan, K., Panneerselvam, S., Pazhanivelan, S.   +4 more
core   +2 more sources

A Training Sample Migration Method for Wetland Mapping and Monitoring Using Sentinel Data in Google Earth Engine

Remote Sensing, 2021
Wetlands are one of the most important ecosystems due to their critical services to both humans and the environment. Therefore, wetland mapping and monitoring are essential for their conservation. In this regard, remote sensing offers efficient solutions
Erfan Fekri, Hooman Latifi, Meisam Amani, Abdolkarim Zobeidinezhad   +3 more
doaj   +1 more source

An Analysis of the Rice-Cultivation Dynamics in the Lower Utcubamba River Basin Using SAR and Optical Imagery in Google Earth Engine (GEE)

Agronomy
One of the world’s major agricultural crops is rice (Oryza sativa), a staple food for more than half of the global population. In this research, synthetic aperture radar (SAR) and optical images are used to analyze the monthly dynamics of this crop in ...
A. J. Medina Medina, Rolando Salas López, Jhon Antony Zabaleta Santisteban, K. M. Tuesta Trauco, Efraín Y Turpo Cayo, Nixon Huaman Haro, Manuel Oliva Cruz, Darwin Gómez Fernández   +7 more
semanticscholar   +1 more source

From the oceans to the cloud: Opportunities and challenges for data, models, computation and workflows. [PDF]

, 2019
© The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Vance, T.
Burger, Eugene, Hernandez, Debra, Kearns, Timothy, Medina-Lopez, Encarni, Merati, Nazila, O'Brien, Kevin, O’Neil, Jon, Potemra, James T., Signell, Richard P., Vance, Tiffany C., Wengren, Micah, Wilcox, Kyle   +11 more
core   +2 more sources

Current and Potential Land Use/Land Cover (LULC) Scenarios in Dry Lands Using a CA-Markov Simulation Model and the Classification and Regression Tree (CART) Method: A Cloud-Based Google Earth Engine (GEE) Approach

Sustainability
Rapid population growth accelerates changes in land use and land cover (LULC), straining natural resource availability. Monitoring LULC changes is essential for managing resources and assessing climate change impacts.
Elsayed A. Abdelsamie, Abdel-rahman A. Mustafa, Abdelbaset S. El‐Sorogy, H. Maswada, Sattam Almadani, M. Shokr, Ahmed I. El-Desoky, Jose Emilio Meroño de Larriva   +7 more
semanticscholar   +1 more source

Analisis Tutupan Lahan Menggunakan Google Earth Engine Dan Citra Landsat 8 OLI: (Studi Kasus Kabupaten Belitung Timur) [PDF]

, 2023
Google Earth Engine (GEE) merupakan platform pemrosesan data spasial yang menerapkan sistem teknologi cloud computing. GEE mampu menghasilkan data dan informasi spasial permukaan bumi menggunakan satelit multi-temporal  secara masif pada citra ...
Ade Putri, Ruth, Sibarani, Rifka
core   +2 more sources

Soil erosion prediction using the Revised Universal Soil Loss Equation (RUSLE) in Google Earth Engine (GEE) cloud-based platform

, 2020
High-quality soils are an important resource affecting the quality of life of human societies, as well as terrestrial ecosystems in general. Thus, soil erosion and soil loss are a serious issue that should be managed, in order to conserve both artificial
S. Papaiordanidis, I. Gitas, T. Katagis
semanticscholar   +1 more source