Results 111 to 120 of about 21,743 (232)

Analisis Suhu Permukaan Daratan pada Masa Pandemi Menggunakan Platform Google Earth Engine (GEE) di DKI Jakarta

Jurnal Ilmiah Geomatika
Tingginya kasus Covid-19 di Indonesia membuat pemerintah perlu membuat serangkaian kebijakan untuk mencegah penyebaran dan penularan virus Covid-19. Kebijakan tersebut antara lain Pembatasan Sosial Berskala Besar (PSBB) dan Pemberlakuan Pembatasan Kegiatan Masyarakat (PPKM).
Ilfa Layali, Fitriana Azzahra, Agnes Risma Anggraeni, Dessy Apriyanti   +3 more
openaire   +1 more source

Testing Google Earth Engine for the automatic identification and vectorization of archaeological features: A case study from Faynan, Jordan [PDF]

, 2017
Howland, Matthew D, Levy, Thomas E, Liss, Brady   +2 more
core   +1 more source

Automatic extraction of Kuala Terengganu coastline using google earth engine (GEE) by automated water extraction index (AWEI)

IOP Conference Series: Earth and Environmental Science
Abstract The study aimed to evaluate changes in Kuala Terengganu’s coastline area from 2014 to 2023 using Google Earth Engine (GEE) and satellite-based images. The approach used automated satellite image searches and JavaScript to analyze specific regions, avoiding the need for downloading whole images.
Saima Khurram, Amin Beiranvand Pour, Milad Bagheri, Effi Helmy Ariffin, Mohd Fadzil Akhir   +4 more
openaire   +1 more source

A Model to Identify Affordances for Game-Based Sustainability Learning [PDF]

Sustainability learning requires the assimilation of domain-specific knowledge and the development of mindsets suitable to engage in complex system dynamics to foster sustainable action.
Fabricatore, Carlo, López, Ximena
core  

Defining Technology for Learning: Cognitive and Physical Tools of Inquiry [PDF]

, 2018
This essay explores definitions of technology and educational technology. The authors argue the following points: 1. Educational stakeholders, and the public at large, use the term technology as though it has a universally agreed upon definition. It does
Bell, Clare V, Odom, Arthur Louis, Warner, Connor K   +2 more
core   +1 more source

A Multisource Data Approach for Change and Disturbance Mapping of Ontario's Clay Belt Toward More Accurate Carbon and Emissions Estimation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
This article is the first of a two-part study on disturbance-informed land use/land cover changes in the Clay Belt region of Northern Ontario, Canada.
Ima Ituen, Baoxin Hu
doaj   +1 more source

Two powerful Google Earth Engine (GEE) Apps for the worldwide high-temperature features monitoring and investigation

Two innovative and powerful Google Earth Engine (GEE) Apps have recently been developed to identify and map volcanic thermal features and investigate gas flaring sources at global scale in daylight conditions. Both the GEE Apps are based on the Normalized Hotspot Indices (NHI; Marchese et al., 2019), which analyze the Near Infrared (NIR) and Short-Wave
Mariapia Faruolo, Nicola Pergola, Nicola Genzano, Francesco Marchese   +3 more
openaire   +1 more source

Spatiotemporal monitoring of climate change impacts on water resources using an integrated approach of remote sensing and Google Earth Engine

Scientific Reports
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.
Mohammad Kazemi Garajeh, Fatemeh Haji, Mahsa Tohidfar, Amin Sadeqi, Reyhaneh Ahmadi, Narges Kariminejad   +5 more
semanticscholar   +1 more source

Monitoring shrub disturbance in the Qinghai–Tibet Plateau from 1990 to 2022 using the LandTrendr algorithm

Grassland Research
Background This study addresses the degradation of shrub ecosystems and emphasizes the essential role that shrubs play within ecological systems. The use of advanced technological methods to swiftly and accurately capture information on shrub disturbance
Chunchun An, YuanYuan Hao, Xuexia Liu, Zhe Meng, Yixuan Wang, Shengshen He, Caicheng Huang   +6 more
doaj   +1 more source

Exploring Google Earth Engine Platform for Big Data Processing: Classification of Multi-Temporal Satellite Imagery for Crop Mapping [PDF]

, 2017
Alexei Novikov, Andrii Shelestov, Mykola Lavreniuk, Nataliia Kussul, Sergii Skakun   +4 more
core   +1 more source