Recent applications of Landsat 8/OLI and Sentinel-2/MSI for land use and land cover mapping: A systematic review
M ED Chaves, M CA Picoli, I D. Sanches - Remote Sensing, 2020 - mdpi.com
Recent applications of Landsat 8 Operational Land Imager (L8/OLI) and Sentinel-2
MultiSpectral Instrument (S2/MSI) data for acquiring information about land use and land …
MultiSpectral Instrument (S2/MSI) data for acquiring information about land use and land …
An overview of platforms for big earth observation data management and analysis
In recent years, Earth observation (EO) satellites have generated big amounts of geospatial
data that are freely available for society and researchers. This scenario brings challenges for …
data that are freely available for society and researchers. This scenario brings challenges for …
In-orbit computing: An outlandish thought experiment?
Space industry upstarts are deploying thousands of satellites to offer global Internet service.
These plans promise large improvements in coverage and latency, and could fundamentally …
These plans promise large improvements in coverage and latency, and could fundamentally …
Earth observation data cubes for Brazil: Requirements, methodology and products
Recently, remote sensing image time series analysis has being widely used to investigate
the dynamics of environments over time. Many studies have combined image time series …
the dynamics of environments over time. Many studies have combined image time series …
Continuous monitoring of urban land cover change trajectories with landsat time series and landtrendr-google earth engine cloud computing
Producing accurate land cover maps is time-consuming and estimating land cover changes
between two generated maps is affected by error propagation. The increased availability of …
between two generated maps is affected by error propagation. The increased availability of …
Geospatial big data handling with high performance computing: Current approaches and future directions
Z Li - High Performance Computing for Geospatial …, 2020 - Springer
Geospatial big data plays a major role in the era of big data, as most data today are
inherently spatial, collected with ubiquitous location-aware sensors such as mobile apps …
inherently spatial, collected with ubiquitous location-aware sensors such as mobile apps …
Global multi-scale grid integer coding and spatial indexing: A novel approach for big earth observation data
Y Lei, X Tong, Y Zhang, C Qiu, X Wu, G Lai, H Li… - ISPRS Journal of …, 2020 - Elsevier
With the exponentially growing earth observation data of specific sensor-determined
resolutions and update frequencies, earth observation has irreversibly arrived in the Big …
resolutions and update frequencies, earth observation has irreversibly arrived in the Big …
科学数据共享系统的现状与趋势
李云婷， 温亮明， 张丽丽， 黎建辉 - 农业大数据学报, 2020 - agbigdata.aiijournal.com
数据密集型科研已经成为大数据时代科学发展的新范式, 科学数据开放共享已成科技界的普遍
共识. 在长期实践中, 科学数据共享形成了以科学仪器, 数据平台, 数据出版, 众包处理 …
共识. 在长期实践中, 科学数据共享形成了以科学仪器, 数据平台, 数据出版, 众包处理 …
Spatial-feature data cube for spatiotemporal remote sensing data processing and analysis
With the rapid development in Earth observation technology, a variety of satellite sensors
have provided large and open sets of remote sensing data. However, traditional methods of …
have provided large and open sets of remote sensing data. However, traditional methods of …
Information from earth observation for the management of sustainable land use and land cover in Brazil: an analysis of user needs
Brazil has some of the world's most important forest and natural ecosystem resources and
their sustainability is of global importance. The expansion of agriculture for livestock, the …
their sustainability is of global importance. The expansion of agriculture for livestock, the …