LVISsaneeraukset

LVISsaneeraukset, or LVIS cleanups, refer to the process of removing or mitigating the effects of LVIS (Landsat Vegetation Imaging Sensor) artifacts from satellite imagery. LVIS is an airborne laser altimeter system used to measure the height of vegetation and terrain. However, due to various factors such as atmospheric conditions, sensor calibration, and data processing errors, LVIS data can sometimes contain artifacts that distort the true representation of the Earth's surface.

These artifacts can manifest in several ways, including striping, speckling, and erroneous height values. Striping, for example, appears as horizontal or vertical lines across the imagery, while speckling is characterized by random noise or small, isolated errors. Erroneous height values can lead to inaccurate assessments of vegetation structure and terrain elevation.

Cleanup processes for LVIS data typically involve a combination of techniques to identify and correct these artifacts. One common approach is to use filtering algorithms that smooth out the data and reduce noise. Another method involves cross-referencing LVIS data with other datasets, such as those from Landsat or SRTM (Shuttle Radar Topography Mission), to validate and correct the height values.

The goal of LVIS cleanup is to enhance the quality and accuracy of the data, making it more reliable for scientific research, environmental monitoring, and other applications. By addressing and mitigating the effects of LVIS artifacts, researchers can obtain a more precise and comprehensive understanding of the Earth's surface features and their changes over time.