Results 21 to 30 of about 21,743 (232)

Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review [PDF]

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Remote sensing (RS) systems have been collecting massive volumes of datasets for decades, managing and analyzing of which are not practical using common software packages and desktop computing resources.
Meisam Amani, Arsalan Ghorbanian, Seyed Ali Ahmadi, Mohammad Kakooei, Armin Moghimi, S. Mohammad Mirmazloumi, Sayyed Hamed Alizadeh Moghaddam, Sahel Mahdavi, Masoud Ghahremanloo, Saeid Parsian, Qiusheng Wu, Brian Brisco   +11 more
doaj   +3 more sources

Using of Google Earth Engine in monitoring systems [PDF]

E3S Web of Conferences, 2021
Google Earth Engine (GEE) cloud service is a powerful tool for environmental research. An example of using GEE to solve a typical research problem is shown.
Fedotova Elena, Gosteva Anna
doaj   +1 more source

A Multi-model approach for remote sensing-based actual evapotranspiration mapping using Google Earth Engine (ETMapper-GEE)

Journal of Hydrology
Accurate estimation of actual evapotranspiration (ETa) through remote sensing (RS) is essential for effective large-scale water management. We developed an EvapoTranspiration Mapper in the Google Earth Engine environment (ETMapper-GEE) to estimate RS-ETa using Landsat satellite data employing four models: Surface Energy Balance Algorithm for Land ...
Abdelrazek Elnashar, Shahab Aldin Shojaeezadeh, Tobias Karl David Weber   +2 more
openaire   +2 more sources

GEE TIMESERIES EXPLORER FOR QGIS – INSTANT ACCESS TO PETABYTES OF EARTH OBSERVATION DATA [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021
Earth observation analysis workflows commonly require mass processing of time series data, with data volumes easily exceeding terabyte magnitude, even for relatively small areas of interest.
P. Rufin, P. Rufin, A. Rabe, L. Nill, P. Hostert, P. Hostert   +5 more
doaj   +1 more source

Pemetaan Perubahan Penutup Lahan Di Sub-DAS Kreo Menggunakan Machine Learning Pada Google Earth Engine

Jurnal Sumberdaya Alam dan Lingkungan, 2021
ABSTRAK Informasi penutup lahan merupakan data yang sangat penting dalam pengelolaan Daerah Aliran Sungai (DAS). Tantangan dalam penyediaan informasi penutup lahan di DAS Kreo adalah tutupan awan dan cangkupan areanya yang cukup luas.
Trida Ridho Fariz, Fitri Daeni, Habil Sultan   +2 more
doaj   +1 more source

A Spatiotemporal Drought Analysis Application Implemented in the Google Earth Engine and Applied to Iran as a Case Study

Remote Sensing, 2023
Drought is a major problem in the world and has become more severe in recent decades, especially in arid and semi-arid regions. In this study, a Google Earth Engine (GEE) app has been implemented to monitor spatiotemporal drought conditions over ...
Adel Taheri Qazvini, Daniela Carrion
doaj   +1 more source

Multiple agricultural cropland products of South Asia developed using Landsat-8 30 m and MODIS 250 m data using machine learning on the Google Earth Engine (GEE) cloud and spectral matching techniques (SMTs) in support of food and water security

GIScience & Remote Sensing, 2022
Cropland products are of great importance in water and food security assessments, especially in South Asia, which is home to nearly 2 billion people and 230 million hectares of net cropland area.
M. Gumma, P. Thenkabail, P. Panjala, P. Teluguntla, T. Yamano, Ismail Mohammed   +5 more
semanticscholar   +1 more source

Globally consistent assessment of coastal eutrophication

Nature Communications, 2021
Satellite-derived chlorophyll data and Google Earth Engine (GEE) are used to introduce the first global map of coastal eutrophication potential as a GEE app.
Elígio de Raús Maúre, Genki Terauchi, Joji Ishizaka, Nicholas Clinton, Michael DeWitt   +4 more
doaj   +1 more source

Unveiling Air Pollution in Crimean Mountain Rivers: Analysis of Sentinel-5 Satellite Images Using Google Earth Engine (GEE)

Remote Sensing, 2023
This article presents an assessment of atmospheric pollutant concentrations based on state-of-the-art geoinformation research methods that utilize Sentinel-5 satellite imagery, the cloud computing platform Google Earth Engine (GEE), and ArcGIS 10.8 ...
V. Tabunschik, R. Gorbunov, T. Gorbunova
semanticscholar   +1 more source

Free global DSM assessment on large scale areas exploiting the potentialities of the innovative google earth engine platform [PDF]

, 2017
The high-performance cloud-computing platform Google Earth Engine has been developed for global-scale analysis based on the Earth observation data. In particular, in this work, the geometric accuracy of the two most used nearly-global free DSMs (SRTM and
Amicuzi, Maria Teresa, Crespi, Mattia, Di Rita, Martina, Esposito, Sara, Nascetti, Andrea, Ravanelli, Roberta   +5 more
core   +7 more sources