Remote Sensing, Land Use, Land Cover

Introduction Remote sensing can be applied to various fields such as plant science, earth science, hydrosphere science, observational land use / land covering. Of the four most important areas, when the need for understanding is equal, it is necessary to comply with land use and land cover. Besides that the weather is one of the most ideal projects for remote sensors and people to observe, it is better suited for observing the human activities and the land under the field.

The terms "land cover" and "land use" are often used interchangeably, but the actual meaning is quite different. Land cover represents the surface coverage of the ground and land use represents the purpose of the land. Attributes measured using remote sensing technology include land coverings, particularly auxiliary data or previous knowledge that can be inferred for land use. Remote sensing land use applications include natural resource management, wildlife habitat protection, baseline mapping of geographic information system inputs, urban expansion, logistics plan for seismic / resource extraction activities, damage mapping (tornado, floods, Volcano, earthquake, fire). ), Tax / asset valuation, target detection and legal boundaries to identify landing zones, roads, open lands, bridges, land and water interfaces

Information obtained from remotely sensed data is often used to help develop policies and decision-making, resource management and planning to provide insight into land cover / land use patterns and trends . The scale of this field has changed. Remote sensing technology of current satellite and aircraft mounting platforms provides digital data while remote sensing technology and land sensing technology are used to determine how land covering and land use will change on region, landscape, Analysis methods are used. Observation of various mapping standards that fulfill different land covering characteristics Land covering / land use can now be manipulated by the satellite, which provides high spatial detail and thus has extensive information compared to aerial photographs. High spatial detail local - The satellite now offers an information scale comparable to aerial photographs, so the landscape scale analysis has great potential.