IDENTIFICATION OF INLAND-EXCESS WATER PATCHES BASED ON LiDAR AND SENTINEL 1 DATA

Abstract

Understanding the habitat is essential for economic production. As a result of rapidly changing processes, features of habitats may be modified, it may be affected by a wide variety of factors. Inundation caused by inland-excess water (IEW) is one of the most significant natural disasters but spatial and temporal targeting of it is also a problem in practice. Over half of Hungary’s territory is endangered by IEW. For the development of inland-excess waters a combination of several adverse natural and human activity is highly important. The formation of IEW is primarily determined by meteorological, soil and terrain conditions. During the research, the causes of the development of IEW were analysed based on the terrain conditions of the area in a grassland. Soil connections have been well explored according to the other studies, but not as terrain causes. Therefore the applicability of digital elevation models based on remote sensing (high density LiDAR) data and Sentinel 1 data in inland areas is a priority area of our research. To examine the relief, elevation data of conventional analog topographic maps with 1:10000 scale and an aerial LiDAR data were compared. Sentinel 1 data were used to validate the results based on the LiDAR data. Based on digital elevation model (DEM) derived from topographical map shows that there is no risk of IEW on the grassland. It is, however, contradicted by the reality, the inland marshes presents on grassland land during on-site visits and which can be identified by the LiDAR and Sentinel 1 images.

Keywords

• inland - excess water (iew)
• lidar
• dem
• sentinel 1
• sar