Big Data for supply chain management in the service and manufacturing sectors: Challenges, opportunities, and future perspectives
Data from service and manufacturing sectors is increasing sharply and lifts up a growing
enthusiasm for the notion of Big Data. This paper investigates representative Big Data …
enthusiasm for the notion of Big Data. This paper investigates representative Big Data …
Deep learning and its application in geochemical mapping
Abstract Machine learning algorithms have been applied widely in the fields of natural
science, social science and engineering. It can be expected that machine learning …
science, social science and engineering. It can be expected that machine learning …
Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future
Satellite based remote sensing offers one of the few approaches able to monitor the spatial
and temporal development of regional to continental scale droughts. A unique element of …
and temporal development of regional to continental scale droughts. A unique element of …
Remote sensing of drought: Progress, challenges and opportunities
This review surveys current and emerging drought monitoring approaches using satellite
remote sensing observations from climatological and ecosystem perspectives. We argue …
remote sensing observations from climatological and ecosystem perspectives. We argue …
Atmospheric river tracking method intercomparison project (ARTMIP): Project goals and experimental design
The Atmospheric River Tracking Method Intercomparison Project (ARTMIP) is an
international collaborative effort to understand and quantify the uncertainties in atmospheric …
international collaborative effort to understand and quantify the uncertainties in atmospheric …
[HTML][HTML] Web technologies for environmental Big Data
Recent evolutions in computing science and web technology provide the environmental
community with continuously expanding resources for data collection and analysis that pose …
community with continuously expanding resources for data collection and analysis that pose …
[HTML][HTML] Persiann dynamic infrared–rain rate (PDIR-now): A near-real-time, quasi-global satellite precipitation dataset
PERSIANN Dynamic Infrared–Rain Rate (PDIR-Now): A Near-Real-Time, Quasi-Global
Satellite Precipitation Dataset in: Journal of Hydrometeorology Volume 21 Issue 12 (2020) …
Satellite Precipitation Dataset in: Journal of Hydrometeorology Volume 21 Issue 12 (2020) …
The role of Remote Sensing in land degradation assessments: opportunities and challenges
O Dubovyk - European Journal of Remote Sensing, 2017 - Taylor & Francis
Land degradation (LD) is one of the biggest global challenges for the people's livelihoods
and environment. Remote Sensing plays an unprecedented role in LD mapping …
and environment. Remote Sensing plays an unprecedented role in LD mapping …
[PDF][PDF] Climatology of atmospheric rivers in the Asian monsoon region
J Liang, Y Yong - International Journal of Climatology, 2021 - researchgate.net
The climatology of atmospheric rivers (ARs) and their roles on precipitation extremes have
been extensively researched over western North America and Europe, yet ARs in Asia …
been extensively researched over western North America and Europe, yet ARs in Asia …
The sensitivity of atmospheric river identification to integrated water vapor transport threshold, resolution, and regridding method
Atmospheric rivers (ARs) are elongated narrow bands of enhanced water vapor that can
cause intense rainfall and flooding. ARs only appeared in the literature the last 30 years …
cause intense rainfall and flooding. ARs only appeared in the literature the last 30 years …