In this study, a data-driven approach employed by utilizing the product called JRC-Global surface water mapping layers V1.4 on the Google Earth Engine (GEE) to map and monitor the effects of climate change on surface water resources. Key climatic variabl
http://www.youtube.com/watch?v=6cVJqvsfxvo AGU Scientists Tech Talks - Using Google SketchUp with Google Earth for Scientific Applicationshttp://www.youtube.com/watch?v=f2KgK0UKRtU AGU Scientists Tech Talks - A Tour of Glacier Data Sets via Google Earth and GeoServehttp://www.youtube...
Renewable energy technologies simply won’t work; we need a fundamentally different approach.” http://spectrum.ieee.org/energy/renewables/what-it-would-really-take-to-reverse-climate-change There is simply no getout clause for renewables supporters. The people who ran the study are very much ...
Taking the Bohai rim coastal area of China as an example, in this study we proposed a method for the long time-series mapping and change detection of coastal zone land use based on Google Earth Engine (GEE) and multi-source data fusion. To fully consider the characteristics of the coastal...
A Simple Procedure to Preprocess and Ingest Level-2 Ocean Color Data into Google Earth Engine. Remote Sens. 2022, 14, 4906. [Google Scholar] [CrossRef] Habibie, M.I. The application of machine learning using google earth engine for remote sensing analysis. J. Teknoinfo 2022, 16, 1872. ...
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Google Earth Engine; dense time-series images; edge probability feature; spatial–temporal dynamic coastline monitoring; Malay Islands; reclamation1. Introduction As the coastline represents the boundary between the sea and the land, the delineation of the coastline position is important for coastal ...
It is a series of space missions developed by the European Space Agency (ESA) that observe the Earth’s surface and are composed of five satellites with different objectives [21]: (1) Sentinel-1 focuses on land and ocean monitoring; (2) Sentinel-2 has the mission of Earth monitoring; (...
land use/land cover; land surface temperature; Google Earth Engine; Melbourne Graphical Abstract1. Introduction According to the United Nations, the world’s proportion of the human population living in cities is projected to grow from 55% to 70% by 2050 if the current urbanisation rate ...
wetland; Google Earth Engine; Sentinel-1; Sentinel-2; random forest; cloud computing; geo-big data Graphical Abstract1. Introduction Wetlands cover between 3% and 8% of the Earth’s land surface [1]. They are one of the most important contributors to global greenhouse gas reduction and ...