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GIS based method for mapping actual LULC by combining seasonal LULCs.

Md Sharafat Chowdhury1,2

  • 1Department of Geography and Environment, Jahangirnagar University, Dhaka, Bangladesh.

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|November 29, 2023
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Summary

This study introduces a new method to create accurate land use and land cover (LULC) maps by incorporating seasonal variations. The approach uses seasonal LULC data and raster overlay to reveal the true landscape patterns, overcoming limitations of single-date maps.

Keywords:
Actual LULCActual LULC modelling by incorporating seasonality effectGeographic information systemsLand use and land cover classificationOverlaySeasonality

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Area of Science:

  • Remote Sensing
  • Geospatial Analysis
  • Environmental Monitoring

Background:

  • Land use and land cover (LULC) mapping is crucial for environmental studies.
  • Traditional LULC maps often overlook seasonal variations, misrepresenting landscape dynamics.
  • Single-date LULC maps used in change detection research fail to capture true landscape patterns.

Purpose of the Study:

  • To develop a method for creating accurate LULC maps that account for seasonal variations.
  • To address the limitations of single-date LULC mapping in representing annual landscape dynamics.
  • To provide a more realistic view of LULC patterns by removing seasonality effects.

Main Methods:

  • Classified LULC for each season using image classification techniques.
  • Coded and combined seasonal LULC maps using the raster overlay method.
  • Reclassified the combined map to generate an actual, seasonally-adjusted LULC map.

Main Results:

  • The raster overlay method effectively integrates seasonal LULC data.
  • The developed technique successfully removes seasonality effects from LULC classification.
  • The method produces LULC maps that accurately replicate the actual landscape patterns.

Conclusions:

  • Incorporating seasonal LULC data provides a more accurate representation of the landscape.
  • The raster overlay method is a viable technique for mitigating seasonality effects in LULC mapping.
  • This approach enhances the reliability of LULC maps for change detection and environmental monitoring.