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 and artificial intelligence (AI): a comprehensive review
Remote sensing (RS) plays an important role gathering data in many critical domains (eg,
global climate change, risk assessment and vulnerability reduction of natural hazards …
global climate change, risk assessment and vulnerability reduction of natural hazards …
[HTML][HTML] Identifying the land use land cover (LULC) changes using remote sensing and GIS approach: A case study at Bhaluka in Mymensingh, Bangladesh
LULC is vital to investigate land use patterns and helping forecast future sustainable land
management. The study area is a freshly emerging and quickly industrialized area in …
management. The study area is a freshly emerging and quickly industrialized area in …
Progress and trends in the application of Google Earth and Google Earth Engine
Earth system science has changed rapidly due to global environmental changes and the
advent of Earth observation technology. Therefore, new tools are required to monitor …
advent of Earth observation technology. Therefore, new tools are required to monitor …
[HTML][HTML] An improved approach for monitoring urban built-up areas by combining NPP-VIIRS nighttime light, NDVI, NDWI, and NDBI
Y Zheng, L Tang, H Wang - Journal of Cleaner Production, 2021 - Elsevier
Timely and accurate extraction of urban built-up areas is crucial to addressing
environmental problems related to fast changes in urban land cover, which is fundamental …
environmental problems related to fast changes in urban land cover, which is fundamental …
An overview of platforms for big earth observation data management and analysis
In recent years, Earth observation (EO) satellites have generated big amounts of geospatial
data that are freely available for society and researchers. This scenario brings challenges for …
data that are freely available for society and researchers. This scenario brings challenges for …
Operational flood mapping using multi-temporal Sentinel-1 SAR images: A case study from Bangladesh
Bangladesh is one of the most flood-affected countries in the world. In the last few decades,
flood frequency, intensity, duration, and devastation have increased in Bangladesh …
flood frequency, intensity, duration, and devastation have increased in Bangladesh …
Analysis of land use and land cover using machine learning algorithms on google earth engine for Munneru River Basin, India
KN Loukika, VR Keesara, V Sridhar - Sustainability, 2021 - mdpi.com
The growing human population accelerates alterations in land use and land cover (LULC)
over time, putting tremendous strain on natural resources. Monitoring and assessing LULC …
over time, putting tremendous strain on natural resources. Monitoring and assessing LULC …
[HTML][HTML] Google Earth Engine, open-access satellite data, and machine learning in support of large-area probabilistic wetland mapping
JN Hird, ER DeLancey, GJ McDermid, J Kariyeva - Remote sensing, 2017 - mdpi.com
Modern advances in cloud computing and machine-leaning algorithms are shifting the
manner in which Earth-observation (EO) data are used for environmental monitoring …
manner in which Earth-observation (EO) data are used for environmental monitoring …
Computer vision and image processing: a paper review
V Wiley, T Lucas - International Journal of Artificial Intelligence Research, 2018 - ijair.id
Computer vision has been studied from many persective. It expands from raw data recording
into techniques and ideas combining digital image processing, pattern recognition, machine …
into techniques and ideas combining digital image processing, pattern recognition, machine …