Topical Collection on "Spatial-temporal Analysis Techniques for Environmental Informatics and Remote Sensing"

Deadline for manuscript submissions: 25 October 2024

Collection Editors

Dr. Ajay Kumar G
Chung-Ang University, Seoul, Korea
Email: ajaykumarg20@outlook.com

Dr. Rohit Singh
Dr. B. R. Ambedkar National Institute of Technology, India
Email: rohits@nitj.ac.in

Dr. Nishant Gupta
Linköping University, Sweden
Email: nishant.gupta@liu.se

Dr. Ashok Kumar Patil
PES University, India
Email: ashokkumarp@pes.edu

Dr. Sameer Kumar Singh
IIT Ropar, Punjab, India
Email: sameer.20eez0020@iitrpr.ac.in

 

Topical Collection Information

Dear Colleagues,

There have been various effects of climate change on urban areas. One of the main factors causing the earth's temperature to rise and change is urbanization. Urbanization raises the earth's surface temperature because it absorbs electromagnetic radiation, particularly thermal infrared waves, in addition to the growth of the transportation industry and economic development. Research indicates a negative correlation between the growth of cities and the availability of green areas. Aside from green areas, most metropolitan regions have warmer temperatures than rural ones do. In general, the features of the exterior attributes being observed should coincide with the spatial and temporal resolutions of the remote-sensing data. A single sensor may not always be able to meet these needs because of the trade-offs across temporal and spatial resolutions. To obtain the necessary data, several spatial and temporal fusion techniques have been put forth. Unfortunately, there is a chaotic development.

This current approach approaches geographical categories based on their geographic assumptions about temporal dynamics and spatial dimensions in order to more thoroughly inform future exploration. More specifically, the assumptions concern the temporal constancy of the spatial information and the magnitude invariance of the temporal information. As a consequence, scientists are looking more and more to remote sensing as a potential method of measuring the amount of rainfall that the world receives, realizing the practical limits of rain gauges. It is important to emphasize that remote sensing is now and will remain a supplement to these conventional techniques of rainfall evaluation, not their replacement. Rain gauges will continue to offer the data against which rainfall estimations made by other methods may be corrected and confirmed, despite the fact that they are not without issues. At the local level, environmental concerns are tracked and analyzed using remote sensing technology. Analyzing the variability in images of a certain location taken over a specific period of time is the goal of change monitoring. In order to determine the extent of urban expansion, the main goal of change detection techniques is to inspect a given area in order to spot differences between illustrations taken at various times. High spatial and spectral resolution-oriented depictions are obtained by satellite-based remote sensing and utilized to determine the extent of change.

This method's goal is to lessen the influence of far-off features on particular special-issue obstacles, enabling each feature to reflect a form of local adaptation while assessing the eco-environment. The main goal of this research is to provide a more sophisticated approach for mapping and characterizing the spatiotemporal dynamics of the detailed growth response lag to dehydration in semiarid areas.

Potential topics include but are not limited to the following:

• Remote Sensing-Based Spatial-Temporal Evaluation of the Atmospheric Environment in Urban Communities
• Changes in land cover identification using spatial-temporal analytics employing remote sensing
• Components of sand and dust storms identified by spatial-temporal remote sensing evaluation
• An introduction and new guideline for spatiotemporal integration of remote sensing data
• An extension of spatial-temporal fusion techniques for remotely sensed surface characteristics
• Applying multi-temporal high spatial precision imaging as a spatial-temporal monitoring method
• Creating an extensive cloud-based spatial-temporal monitoring system for characteristics
• Using environmental informatics in applied computational science to safeguard the environment
• Land degradation primarily evaluated by spatial-temporal assessments of surface coal mining
• A cohesive structure for fusing remote sensing pictures' spatiotemporal and spectral information
• Employing multitemporal Landsat images to model the spatial-temporal changes

Collection Editor(s)

 

Keywords:

• Environment
• Spatial-temporal analysis
• Environmental informatics
• Remote sensing