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...
Những tác giả chính: | Midekisa, A, Holl, F, Savory, D, Andrade-Pacheco, R, Gething, P, Bennett, A, Sturrock, H |
---|---|
Định dạng: | Journal article |
Ngôn ngữ: | English |
Được phát hành: |
Public Library of Science
2017
|
Những quyển sách tương tự
-
Household electricity access in Africa (2000–2013): Closing information gaps with model-based geostatistics
Bằng: Andrade-Pacheco, R, et al.
Được phát hành: (2019) -
Intercalibration and Gaussian process modeling of nighttime lights imagery for measuring urbanization trends in Africa 2000-2013
Bằng: Savory, D, et al.
Được phát hành: (2017) -
Bridging the national data gap with Google earth engine and landsat imagery by developing annual land cover for Afghanistan
Bằng: Kabir Uddin, et al.
Được phát hành: (2024-06-01) -
Harmonized Landsat and Sentinel-2 Data with Google Earth Engine
Bằng: Elias Fernando Berra, et al.
Được phát hành: (2024-07-01) -
Characterization of Landsat-8 and Landsat-9 Reflectivity and NDVI Continuity Based on Google Earth Engine
Bằng: Qing Zhang, et al.
Được phát hành: (2025-01-01)