Detection of Large-Scale Floods Using Google Earth Engine and Google Colab
Remote Sensing, 2023 This paper presents an operational approach for detecting floods and establishing flood extent using Sentinel-1 radar imagery with Google Earth Engine. The methodology relies on change detection, comparing pre-event and post-event images.
Rosa Johary +7 more
doaj +1 more source
Google Earth Engine ile arazi kullanımı haritalarının üretimi
Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, 2021 Sürekli gelişen şehirler, nüfus artışı ve iklimsel koşullar gibi ekosistem de meydana gelen olumsuz etkenler ile arazi kullanımı değişime uğramaktadır.
Majid Aghlmand +4 more
doaj +1 more source
Monitoring urban heat island through google earth engine. Potentialities and difficulties in different cities of the United States [PDF]
, 2018 The aim of this work is to exploit the large-scale analysis capabilities of the innovative Google Earth Engine platform in order to investigate the temporal variations of the Urban Heat Island phenomenon as a whole. A intuitive methodology implementing a
A. Nascetti +6 more
core +7 more sources
Hydrological Foundation as a Basis for a Holistic Environmental Flow Assessment of Tropical Highland Rivers in Ethiopia [PDF]
, 2020 The sustainable development of water resources includes retaining some amount of the natural flow regime in water bodies to protect and maintain aquatic ecosystem health and the human livelihoods and wellbeing dependent upon them.
Abebe, Wubneh B. +10 more
core +2 more sources
CHINA FOREST COVER EXTRACTION BASED ON GOOGLE EARTH ENGINE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Forest cover rate is the principal indice to reflect the forest acount of a nation and region. In view of the difficulty of accurately calculating large-scale forest area by traditional statistical survey methods, it is proposed to extract China forest ...
Y. T. Guo +9 more
doaj +1 more source
AGGREGATING CLOUD-FREE SENTINEL-2 IMAGES WITH GOOGLE EARTH ENGINE [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Cloud coverage is one of the biggest concerns in spaceborne optical remote sensing, because it hampers a continuous monitoring of the Earth’s surface.
M. Schmitt +4 more
doaj +1 more source
Building a Better Urban Picture: Combining Day and Night Remote Sensing Imagery
Remote Sensing, 2015 Urban areas play a very important role in global climate change. There is increasing need to understand global urban areas with sufficient spatial details for global climate change mitigation.
Qingling Zhang +3 more
doaj +1 more source
Google Earth Engine: A Global Analysis and Future Trends
Remote Sensing, 2023 The continuous increase in the volume of geospatial data has led to the creation of storage tools and the cloud to process data. Google Earth Engine (GEE) is a cloud-based platform that facilitates geoprocessing, making it a tool of great interest to the
Andrés Velastegui-Montoya +5 more
doaj +1 more source
TRACKING THE GODZILLA DUST PLUME USING GOOGLE EARTH ENGINE PLATFORM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 As part of Earth’s nutrient cycle, a layer of air travels every summer from Africa across the Atlantic Ocean. In June 2020, the thickest and densest dust plume traveled over 5000 miles along with the Saharan Air Layer (SAL) from Africa towards the USA ...
A. B. Asare-Ansah +10 more
doaj +1 more source
Monitoring the impact of land cover change on surface urban heat island through google earth engine. Proposal of a global methodology, first applications and problems [PDF]
, 2018 All over the world, the rapid urbanization process is challenging the sustainable development of our cities. In 2015, the United Nation highlighted in Goal 11 of the SDGs (Sustainable Development Goals) the importance to "Make cities inclusive, safe ...
Crespi, Mattia Giovanni +6 more
core +3 more sources