Foundation models for generalist medical artificial intelligence
The exceptionally rapid development of highly flexible, reusable artificial intelligence (AI)
models is likely to usher in newfound capabilities in medicine. We propose a new paradigm …
models is likely to usher in newfound capabilities in medicine. We propose a new paradigm …
Recent applications of Landsat 8/OLI and Sentinel-2/MSI for land use and land cover map**: A systematic review
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 …
Status of phenological research using Sentinel-2 data: A review
Remote sensing of plant phenology as an indicator of climate change and for map** land
cover has received significant scientific interest in the past two decades. The advancing of …
cover has received significant scientific interest in the past two decades. The advancing of …
Remote sensing of grassland production and management—A review
Grasslands cover one third of the earth's terrestrial surface and are mainly used for livestock
production. The usage type, use intensity and condition of grasslands are often unclear …
production. The usage type, use intensity and condition of grasslands are often unclear …
Transitioning from change detection to monitoring with remote sensing: A paradigm shift
The use of time series analysis with moderate resolution satellite imagery is increasingly
common, particularly since the advent of freely available Landsat data. Dense time series …
common, particularly since the advent of freely available Landsat data. Dense time series …
Combination of feature selection and catboost for prediction: The first application to the estimation of aboveground biomass
M Luo, Y Wang, Y **e, L Zhou, J Qiao, S Qiu, Y Sun - Forests, 2021 - mdpi.com
Increasing numbers of explanatory variables tend to result in information redundancy and
“dimensional disaster” in the quantitative remote sensing of forest aboveground biomass …
“dimensional disaster” in the quantitative remote sensing of forest aboveground biomass …
Prediction of electric vehicle charging duration time using ensemble machine learning algorithm and Shapley additive explanations
Electric vehicles (EVs) are the most important components of smart transportation systems.
Limited driving range, prolonged charging times, and inadequate charging infrastructure are …
Limited driving range, prolonged charging times, and inadequate charging infrastructure are …
Review of remote sensing applications in grassland monitoring
The application of remote sensing technology in grassland monitoring and management has
been ongoing for decades. Compared with traditional ground measurements, remote …
been ongoing for decades. Compared with traditional ground measurements, remote …
[HTML][HTML] Need and vision for global medium-resolution Landsat and Sentinel-2 data products
Global changes in climate and land use are threatening natural ecosystems, biodiversity,
and the ecosystem services people rely on. This is why it is necessary to track and monitor …
and the ecosystem services people rely on. This is why it is necessary to track and monitor …
Time series analysis for global land cover change monitoring: A comparison across sensors
Comparing the performance of different satellite sensors in global land cover change (LCC)
monitoring is necessary to assess their potential and limitations for more accurate and …
monitoring is necessary to assess their potential and limitations for more accurate and …