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Land Use and Land Cover (LULC) classification is a key component in geoinformatics, especially in the domain of disaster management. It provides critical information for understanding the Earth’s surface and monitoring the effects of natural and anthropogenic changes over time. The classification of land use and land cover serves as a foundation for analyzing environmental processes, assessing disaster vulnerability, and preparing for mitigation and recovery strategies. The terms "land use" and "land cover" are often used together, but they describe different attributes: land cover refers to the physical materials on the Earth's surface, such as vegetation, water, and urban infrastructure, while land use refers to how people utilize the land, such as agriculture, forestry, or settlement. The LULC classification system organizes the landscape into distinct categories based on observable features and human activities. These classifications are essential in creating thematic maps and spatial databases used in geospatial analysis and modeling, particularly in disaster management, where such information helps in risk assessment, impact analysis, and resource allocation. The classification system can be implemented at various levels of detail, ranging from broad global categories to detailed local classes. LULC classification systems are structured hierarchically to ensure consistency and allow multi-scale analysis. One of the widely used classification systems is the Anderson Classification System developed by the United States Geological Survey (USGS), which provides a standardized approach suitable for remote sensing data interpretation. This system consists of different levels of classification: Level I Classification: Level I provides broad classes based on general characteristics of land cover. ___ ____ _______ ________ ________ _____ __________ __________ ___ __________ ________.
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