Google earth engine cloud computing platform for remote sensing big data applications: A comprehensive review
M Amani, A Ghorbanian, SA Ahmadi… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Remote sensing (RS) systems have been collecting massive volumes of datasets for
decades, managing and analyzing of which are not practical using common software …
decades, managing and analyzing of which are not practical using common software …
Google Earth Engine for geo-big data applications: A meta-analysis and systematic review
Abstract Google Earth Engine (GEE) is a cloud-based geospatial processing platform for
large-scale environmental monitoring and analysis. The free-to-use GEE platform provides …
large-scale environmental monitoring and analysis. The free-to-use GEE platform provides …
Google Earth Engine: a global analysis and future trends
A Velastegui-Montoya, N Montalván-Burbano… - Remote Sensing, 2023 - mdpi.com
The continuous increase in the volume of geospatial data has led to the creation of storage
tools and the cloud to process data. Google Earth Engine (GEE) is a cloud-based platform …
tools and the cloud to process data. Google Earth Engine (GEE) is a cloud-based platform …
Cities are going uphill: Slope gradient analysis of urban expansion and its driving factors in China
Rapid urbanisation causes large urban conversions of natural and agricultural land to non-
agricultural use. Research on urban expansion has typically disregarded gradient …
agricultural use. Research on urban expansion has typically disregarded gradient …
Impact of COVID-19 induced lockdown on land surface temperature, aerosol, and urban heat in Europe and North America
The outbreak of SARS CoV-2 (COVID-19) has posed a serious threat to human beings,
society, and economic activities all over the world. Worldwide rigorous containment …
society, and economic activities all over the world. Worldwide rigorous containment …
Urban remote sensing with spatial big data: a review and renewed perspective of urban studies in recent decades
D Yu, C Fang - Remote Sensing, 2023 - mdpi.com
During the past decades, multiple remote sensing data sources, including nighttime light
images, high spatial resolution multispectral satellite images, unmanned drone images, and …
images, high spatial resolution multispectral satellite images, unmanned drone images, and …
[HTML][HTML] Unsupervised domain adaptation for global urban extraction using Sentinel-1 SAR and Sentinel-2 MSI data
Accurate and up-to-date maps of built-up areas are crucial to support sustainable urban
development. Earth Observation (EO) is a valuable data source to cover this demand. In …
development. Earth Observation (EO) is a valuable data source to cover this demand. In …
An integrated, tentative remote-sensing approach based on NDVI entropy to model canine distemper virus in wildlife and to prompt science-based management …
Simple Summary Canine distemper virus (CDV) is a pathogen that affects wildlife with
particular regard to Canidae family such as red foxes, wolves, etc. In this study, we focus on …
particular regard to Canidae family such as red foxes, wolves, etc. In this study, we focus on …
Circular economy, bioeconomy, and sustainable development goals: a systematic literature review
The circular economy (CE) and bioeconomy (BE) are recognized as potential solutions for
achieving sustainable development, yet little research has examined their potential …
achieving sustainable development, yet little research has examined their potential …