concept

Land Use and Land Cover (LULC)

Also known as: LULC, land use and land cover classification, Land Use Land Cover

Facts (14)

Sources

The interplay of future solar energy, land cover change, and their ... discovery.researcher.life Researcher.life Jun 9, 2024 14 facts

procedureResearchers studying the Tajan watershed in northern Iran developed a flood risk assessment framework that integrates flood vulnerability, hazard, and damages under long-term land use and land cover (LULC) changes, with predictions extending to 2040.

claimLand use land cover (LULC) changes are recognized globally as a key factor contributing to environmental changes.

claimHuman alterations of Land Use Land Cover (LULC) include changes in forest cover, alterations in agricultural lands, increases in urban areas, and decreases in wetland areas.

claimLand Use Land Cover (LULC) change is widely recognized as one of the most important factors impacting the hydrological response of river basins.

claimThe intensity of the Urban Heat Island (UHI) in Halaba Kulito Town is correlated with changes in land use and land cover (LULC).

measurementThe LULC (Land Use and Land Cover) change classification accuracy evaluation for Halaba Kulito Town showed overall classification accuracies of 70.81%, 81.3%, 81%, and 91% for the years 1991, 2001, 2011, and 2021, respectively.

measurementThe kappa coefficients for the LULC (Land Use and Land Cover) change classification in Halaba Kulito Town were 0.71, 0.81, 0.81, and 0.89 for the years 1991, 2001, 2011, and 2021, respectively.

procedureThe study of the Kalu river basin used LANDSAT satellite images from 2001, 2009, 2015, and 2020, with land use classification performed using ArcGIS and Remote Sensing Tools.

procedureThe flood vulnerability map for the study area was generated using the Random Forest model, which incorporated historical data from 332 flooded locations and 12 geophysical and anthropogenic flood factors under land use/land cover (LULC) change scenarios.

measurementThe LULC classification accuracy for the Mahananda River basin study was assessed using the Kappa coefficient, with values reported above 80%.

measurementHigh and very high flood vulnerability areas in the study region are projected to increase by 43% by 2040 due to human activities and land use/land cover (LULC) changes.

measurementThe LUCST (Land Use Change Simulation Tool) achieved a System Usability Score of 79.8, indicating potential for adoption in future land use and land cover (LULC) change studies.

measurementThe land use land cover (LULC) classification for the study on Kitwe District, Copperbelt Province, Zambia, achieved an overall accuracy of 82.47% and a kappa coefficient of 0.78.

procedurePotential flood damage costs in residential and agricultural areas, considering long-term land use/land cover (LULC) changes, were calculated using the HEC-RAS hydraulic model and a global damage function.