The document discusses various ways that remote sensing and GIS can be used for environmental monitoring. It outlines fields like weather, forestry, agriculture, land use change, and biodiversity that benefit from remote sensing. Common remote sensing applications include land surface temperature monitoring, forest canopy analysis, crop health assessment, and species distribution modeling. The document also lists tools in GIS like classification, principal component analysis, and overlay analysis that support remote sensing data. It provides examples of machine learning approaches and software used in remote sensing and environmental analysis. Finally, it gives recommendations for finding suitable journals and achieving a quick publication response.

1. Abdulla - Al Kafy
Urban Planner & Project Officer
ICLEI South Asia
Rajshahi City Corporation
M.Phil (Running ), Institute of Environment,
University of Rajshahi.
Bachelor of Urban & Regional Planning,
Rajshahi University of Engineering & Technology
Local Pathway Fellow (2018-2019),
UN Sustainable Development Solutions Network.

2. Application of Remote Sensing for Environmental Monitoring
Some major fields in what can remote sensing be used for
 Weather
 Land surface temperature
 Air Quality/particles
 Rainfall
 Forestry
 Forest canopy density
 Forest fire monitoring
 Gap analysis for Protected Area Network/ biological
exploration
 Agriculture
 Crop identification and crop conditions/health analysis
 Agricultural Drought Monitoring
 soil moisture content
 Crop production forecasting
 Determining crop damage and crop progress
 Surface changes
 Land cover change
 Land use index assessment
 Biodiversity
 Biodiversity assessment – Landscape to species
 Temporal Monitoring (deforestation, habitat change)
 Wildlife Management
 Species distribution patterns and modelling
 Vegetation status

3. Application of GIS for Environmental Monitoring
Some major tools used in GIS for Remote sensing Data Analysis
 Maximum likelihood supervised and ISO cluster supervised
Classification
 Principle component analysis
 Spatial analyst tool ( Extraction, Local, Map algebra, Interpolation,
Overlay, Reclass, Surface, zonal statistics )
 Advance Editing tool
 3D analyst tool (Profile graph, contour)
 Model Builder

4. Application Machine Learning Environmental Monitoring
Some major Machine Learning approach
 Regression Algorithms
 Decision Tree Algorithms
 Artificial Neural Networks (ANN)
 Cellular Automata (CA)
 Support Vector Machine (SVM)
Useful Software for Machine Learning Application
Useful Software for Remote sensing application
 QGIS MOLUSCE PLUGIN (Applicable in version 2)
 IDRISI Selva land change modeller
 ERDAS Imagine
 QGIS
 IDRISI Selva
 ENVI
 ARC GIS

5. Effective Ways to find suitable journals for your paper
 https://journalfinder.elsevier.com/
 https://journalsuggester.springer.com/
 https://journalfinder.wiley.com/
Quick publication/response from journal
 Looking for a special issue match with your paper
 Check the article in press option for their response
in recent publication
 Look for a newly launched journal