Prediction of Satellite-Based Column CO2 Concentration by Combining Emission Inventory and LULC Information
S Bhattacharjee, J Chen - IEEE Transactions on Geoscience …, 2020 - ieeexplore.ieee.org
In this article, we generate a regional mapping of space-borne carbon dioxide (CO 2)
concentration through a data fusion approach, including emission estimates and Land Use …
concentration through a data fusion approach, including emission estimates and Land Use …
Spatio‐temporal prediction of land surface temperature using semantic kriging
Spatio‐temporal prediction and forecasting of land surface temperature (LST) are relevant.
However, several factors limit their usage, such as missing pixels, line drops, and cloud …
However, several factors limit their usage, such as missing pixels, line drops, and cloud …
Prediction of meteorological parameters: an a-posteriori probabilistic semantic kriging approach
Meteorological parameters are often considered as crucial factors for climatological pattern
analysis. Predictions of these parameters have been studied extensively in the field of …
analysis. Predictions of these parameters have been studied extensively in the field of …
Measuring semantic similarity between land-cover classes for spatial analysis: an ontology hierarchy exploration approach
S Bhattacharjee, SK Ghosh - Innovations in Systems and Software …, 2016 - Springer
Resolving semantic heterogeneity is one of the major research challenges involved in many
fields of study, such as, natural language processing, search engine development …
fields of study, such as, natural language processing, search engine development …
Spatial Semantic Kriging
The spatial semantic kriging (SemK) based spatial interpolation method is applied for the
interpolation of meteorological parameters, aiming to enhance the accuracy in results. The …
interpolation of meteorological parameters, aiming to enhance the accuracy in results. The …