Results 11 to 20 of about 22,166 (333)

rgee: An R package for interacting with Google Earth Engine [PDF]

Journal of Open Source Software, 2020
Google Earth Engine (Gorelick et al.، 2017) عبارة عن منصة حوسبة سحابية مصممة لتحليل البيانات البيئية على نطاق الكواكب. يتم الوصول إلى كتالوج البيانات متعدد البتات وخدمات الحوسبة عبر واجهة برمجة تطبيقات يمكن الوصول إليها عبر الإنترنت. يتم عرض واجهة برمجة التطبيقات من خلال مكتبات عملاء JavaScript و Python.
César Aybar, Qiusheng Wu, Lesly Bautista, Roy Yali, Antony Barja   +4 more
openaire   +2 more sources

Downscaling TRMM Monthly Precipitation Using Google Earth Engine and Google Cloud Computing [PDF]

Remote Sensing, 2020
Accurate precipitation data at high spatiotemporal resolution are critical for land and water management at the basin scale. We proposed a downscaling framework for Tropical Rainfall Measuring Mission (TRMM) precipitation products through integrating Google Earth Engine (GEE) and Google Colaboratory (Colab).
Abdelrazek Elnashar, Hongwei Zeng 0002, Bingfang Wu, Ning Zhang, Fuyou Tian, Miao Zhang 0002, Weiwei Zhu, Nana Yan, Zeqiang Chen, Zhiyu Sun, Xinghua Wu, Yuan Li   +11 more
openaire   +3 more sources

Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine

Remote Sensing, 2021
Sentinel-1 satellites provide temporally dense and high spatial resolution synthetic aperture radar (SAR) imagery. The open data policy and global coverage of Sentinel-1 make it a valuable data source for a wide range of SAR-based applications.
Adugna Mullissa, Andreas Vollrath, Christelle Odongo-Braun, Bart Slagter, Johannes Balling, Yaqing Gou, Noel Gorelick, Johannes Reiche   +7 more
doaj   +2 more sources

Assessment of land use and cover in the Sucuru Watershed using Google Earth Engine

Revista Verde de Agroecologia e Desenvolvimento Sustentável, 2022
Human activities modify the natural characteristics of numerous watersheds worldwide. Google Earth Engine provides tools for the analysis of land use and natural resources.
José Hugo Simplicio de Sousa, Amanda Rezende Moreira, Abdalan Andrade do Nascimento, George do Nascimento Ribeiro, Jose Nunes de Oliveira Neto, Leonardo Souza do Prado Júnior   +5 more
doaj   +2 more sources

First Experiences with Google Earth Engine [PDF]

Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management, 2017
This paper presents the first experiences of the author with GEE (Google Earth Engine). A C++ image processing algorithm, still under development, was migrated to this new environment using GEE’s web interface and the JavaScript language. The idea is to discover the problems that might arise when migrating to this environment as well as to assess the ...
Navarro, José A., José A. Navarro
openaire   +2 more sources

Satellite Data for All? Review of Google Earth Engine for Archaeological Remote Sensing

Internet Archaeology, 2016
A review of Google Earth Engine for archaeological remote sensing using satellite data. GEE is a freely accessible software option for processing remotely sensed data, part of the larger Google suite of products.
Omar A. Alcover Firpi
doaj   +2 more sources

A primer on understanding Google Earth Engine APIs

, 2020
i-ETC : ISEL Academic Journal of Electronics Telecommunications and Computers, Vol 6, No 1 (2020): Volume ...
Reis, Rui S., Datia, Nuno, Pós-de-Mina Pato, Matilde   +2 more
openaire   +4 more sources

Global Estimation of Biophysical Variables from Google Earth Engine Platform [PDF]

Remote Sensing, 2018
This paper proposes a processing chain for the derivation of global Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fraction Vegetation Cover (FVC), and Canopy water content (CWC) maps from 15-years of MODIS data exploiting the capabilities of the Google Earth Engine (GEE) cloud platform.
Manuel Campos-Taberner, Álvaro Moreno-Martínez, Francisco Javier García-Haro, Gustau Camps-Valls, Nathaniel P. Robinson, Jens Kattge, Steven W. Running   +6 more
openaire   +4 more sources

Harmonized Landsat and Sentinel-2 Data with Google Earth Engine

Remote Sensing
Continuous and dense time series of satellite remote sensing data are needed for several land monitoring applications, including vegetation phenology, in-season crop assessments, and improving land use and land cover classification. Supporting such applications at medium to high spatial resolution may be challenging with a single optical satellite ...
Elias F. Berra, Denise Cybis Fontana, Feng Yin, Fábio Marcelo Breunig   +3 more
openaire   +3 more sources

Automated mapping of land cover in Google Earth Engine platform using multispectral Sentinel-2 and MODIS image products. [PDF]

PLoS One
Pan X, Wang Z, Feng G, Wang S, Samiappan S.   +4 more
europepmc   +2 more sources