Summary and future research

Shrutilipi Bhattacharjee, Soumya Kanti Ghosh, Jia Chen

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


This monograph focuses on the prediction and forecasting of the meteorological parameters that are related to the earth surface. These parameters are mainly derived from the raster satellite imagery, and generally contain missing and erroneous pixels, line gaps, and cloud covers. These issues are considered as the major hindrances to generate complete raster surface for these parameters. In this situation, the spatial interpolation methods are reported to be the most efficient choice in many literature. This monograph attempts to incorporate the LULC-based contextual knowledge of the terrain for the interpolation process of the meteorological parameters.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Verlag
Number of pages5
StatePublished - 2019

Publication series

NameStudies in Computational Intelligence
ISSN (Print)1860-949X


Dive into the research topics of 'Summary and future research'. Together they form a unique fingerprint.

Cite this