Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing.
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...
| Prif Awduron: | , , , , , , |
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| Fformat: | Journal article |
| Iaith: | English |
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Public Library of Science
2017
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| _version_ | 1826284870615171072 |
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| author | Midekisa, A Holl, F Savory, D Andrade-Pacheco, R Gething, P Bennett, A Sturrock, H |
| author_facet | Midekisa, A Holl, F Savory, D Andrade-Pacheco, R Gething, P Bennett, A Sturrock, H |
| author_sort | Midekisa, A |
| collection | OXFORD |
| description | 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. |
| first_indexed | 2024-03-07T01:20:20Z |
| format | Journal article |
| id | oxford-uuid:9017d089-4d28-48bd-84d6-c4eb3f0eae49 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T01:20:20Z |
| publishDate | 2017 |
| publisher | Public Library of Science |
| record_format | dspace |
| spelling | oxford-uuid:9017d089-4d28-48bd-84d6-c4eb3f0eae492022-03-26T23:09:12ZMapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:9017d089-4d28-48bd-84d6-c4eb3f0eae49EnglishSymplectic Elements at OxfordPublic Library of Science2017Midekisa, AHoll, FSavory, DAndrade-Pacheco, RGething, PBennett, ASturrock, HQuantifying 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. |
| spellingShingle | Midekisa, A Holl, F Savory, D Andrade-Pacheco, R Gething, P Bennett, A Sturrock, H Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing. |
| title | Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing. |
| title_full | Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing. |
| title_fullStr | Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing. |
| title_full_unstemmed | Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing. |
| title_short | Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing. |
| title_sort | mapping land cover change over continental africa using landsat and google earth engine cloud computing |
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