دورية أكاديمية

Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing.

التفاصيل البيبلوغرافية
العنوان: Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing.
المؤلفون: Alemayehu Midekisa, Felix Holl, David J Savory, Ricardo Andrade-Pacheco, Peter W Gething, Adam Bennett, Hugh J W Sturrock
المصدر: PLoS ONE, Vol 12, Iss 9, p e0184926 (2017)
بيانات النشر: Public Library of Science (PLoS), 2017.
سنة النشر: 2017
المجموعة: LCC:Medicine
LCC:Science
مصطلحات موضوعية: Medicine, Science
الوصف: Quantifying and monitoring the spatial and temporal dynamics of the global land cover is critical for better understanding many of the Earth's land surface processes. However, the lack of regularly updated, continental-scale, and high spatial resolution (30 m) land cover data limit our ability to better understand the spatial extent and the temporal dynamics of land surface changes. Despite the free availability of high spatial resolution Landsat satellite data, continental-scale land cover mapping using high resolution Landsat satellite data was not feasible until now due to the need for high-performance computing to store, process, and analyze this large volume of high resolution satellite data. In this study, we present an approach to quantify continental land cover and impervious surface changes over a long period of time (15 years) using high resolution Landsat satellite observations and Google Earth Engine cloud computing platform. The approach applied here to overcome the computational challenges of handling big earth observation data by using cloud computing can help scientists and practitioners who lack high-performance computational resources.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1932-6203
Relation: http://europepmc.org/articles/PMC5617164?pdf=render; https://doaj.org/toc/1932-6203
DOI: 10.1371/journal.pone.0184926
URL الوصول: https://doaj.org/article/6b1b163c62e045b88afd68abd68abf3a
رقم الأكسشن: edsdoj.6b1b163c62e045b88afd68abd68abf3a
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:19326203
DOI:10.1371/journal.pone.0184926