Modeling the Impacts of Governmental and Human Responses on COVID-19 Spread Using Statistical Machine Learning [0.03%]
基于统计机器学习的新冠肺炎政府响应和人类行为对疫情传播影响模型研究
Binbin Lin,Yimin Dai,Lei Zou et al.
Binbin Lin et al.
Understanding the impacts of governmental and human responses on the pandemic control is imperative for forecasting pandemic spread under various responsive scenarios and guiding localized interventions before pharmaceutical interventions a...
Using geospatial social media data for infectious disease studies: a systematic review [0.03%]
基于地理空间的社交媒体数据在传染病研究中的应用：系统综述
Fengrui Jing,Zhenlong Li,Shan Qiao et al.
Fengrui Jing et al.
Geospatial social media (GSM) data has been increasingly used in public health due to its rich, timely, and accessible spatial information, particularly in infectious disease research. This review synthesized 86 research articles that use G...
Exposing the urban continuum: Implications and cross-comparison from an interdisciplinary perspective [0.03%]
揭示城市连续体：跨学科视角下的影响及比较研究
Johannes H Uhl,Hamidreza Zoraghein,Stefan Leyk et al.
Johannes H Uhl et al.
There is an increasing availability of geospatial data describing patterns of human settlement and population such as various global remote-sensing based built-up land layers, fine-grained census-based population estimates, and publicly ava...
Big Earth data: disruptive changes in Earth observation data management and analysis? [0.03%]
大地球数据：地球观测数据管理和分析的颠覆性变化？
Martin Sudmanns,Dirk Tiede,Stefan Lang et al.
Martin Sudmanns et al.
Turning Earth observation (EO) data consistently and systematically into valuable global information layers is an ongoing challenge for the EO community. Recently, the term 'big Earth data' emerged to describe massive EO datasets that confr...
Assessing global Sentinel-2 coverage dynamics and data availability for operational Earth observation (EO) applications using the EO-Compass [0.03%]
利用EO-指南评估全球Sentinel-2覆盖动态和数据可用性以实现运营地球观测(EIF)应用
Martin Sudmanns,Dirk Tiede,Hannah Augustin et al.
Martin Sudmanns et al.
Sentinel-2 scenes are increasingly being used in operational Earth observation (EO) applications at regional, continental and global scales, in near-real time applications, and with multi-temporal approaches. On a broader scale, they are th...
Automatic sub-pixel co-registration of Landsat-8 OLI and Sentinel-2A MSI images using phase correlation and machine learning based mapping [0.03%]
基于相位相关和机器学习映射的Landsat-8OLI与Sentinel-2AMSI影像亚像素配准算法
Sergii Skakun,Jean-Claude Roger,Eric F Vermote et al.
Sergii Skakun et al.
This study investigates misregistration issues between Landsat-8/OLI and Sentinel-2A/MSI at 30 m resolution, and between multi-temporal Sentinel-2A images at 10 m resolution using a phase correlation approach and multiple transformation fun...
Michael L Humber,Luigi Boschetti,Louis Giglio et al.
Michael L Humber et al.
We characterize the agreement and disagreement of four publically available burned products (Fire CCI, Copernicus Burnt Area, MODIS MCD45A1, and MODIS MCD64A1) at a finer spatial and temporal scale than previous assessments using a grid of ...
Semantic and syntactic interoperability in online processing of big Earth observation data [0.03%]
面向网络大数据地球观测的语义与语法互操作性研究
Martin Sudmanns,Dirk Tiede,Stefan Lang et al.
Martin Sudmanns et al.
The challenge of enabling syntactic and semantic interoperability for comprehensive and reproducible online processing of big Earth observation (EO) data is still unsolved. Supporting both types of interoperability is one of the requirement...
Modelling changing population distributions: an example of the Kenyan Coast, 1979-2009 [0.03%]
人口分布变化模型：以肯尼亚沿海地区(1979-2009)为例
Catherine Linard,Caroline W Kabaria,Marius Gilbert et al.
Catherine Linard et al.
Large-scale gridded population datasets are usually produced for the year of input census data using a top-down approach and projected backward and forward in time using national growth rates. Such temporal projections do not include any su...