Abstract
Topography and geology are factors to characterize the distribution of natural vegetation. Topographic contour is particularly influential on the living conditions of plants such as soil moisture, sunlight, and windiness. Vegetation associations having similar characteristics are present in locations having similar topographic conditions unless natural disturbances such as landslides and forest fires or artificial disturbances such as deforestation and man-made plantation bring about changes in such conditions. We developed a vegetation map of Japan using an object-based segmentation approach with topographic information (elevation, slope, slope direction) that is closely related to the distribution of vegetation. The results found that the object-based classification is more effective to produce a vegetation map than the pixel-based classification.
Highlights
The NOAA/AVHRR and Terra/MODIS are one of the most well-known low-resolution sensors
Vegetation associations having similar characteristics are present in locations having similar topographic conditions unless natural disturbances such as landslides and forest fires or artificial disturbances such as deforestation and man-made plantation bring about changes in such conditions
A vegetation map is a type of map showing not each kind of plant but the space occupied by vegetation association
Summary
The NOAA/AVHRR and Terra/MODIS are one of the most well-known low-resolution sensors. Terra/MODIS and Aqua/MODIS were launched in 1999 and 2002, respectively, as the successors to NOAA/AVHRR These two types of MODIS are equipped with 36 bands which are divided into three groups with different spatial resolutions: bands 1 and 2 with a spatial resolution of 250m, bands 3 to 7 with 500m, and bands 8 to 36 with 1km. In a pixel-based segmentation approach using high resolution satellite imagery, it often happens that an area is not recognized as a single object because multiple types of land cover are detected within the area.
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