Measuring Surface Roughness for Retrieval of Soil Moisture Based on Mobile Laser Scanning
Surface roughness is a crucial input for bare surface microwave emission and backscattering mod-els. In a soil moisture retrieval from microwave observations study, soil surface roughness is mea-sured usually using contact (grid board, pin meter) and noncontact devices (photogrammetry). The paper aims to investigate a new methodology to measure surface roughness using mobile laser scanning (noncontact devices), which can provide a complete picture of the roughness properties over the spatial scale of a satellite resolution cell. The paper describes the working procedure of laser points collection and the roughness height extraction. Data was collected using a laser scan-ner mounted on the roof of a vehicle driven along a 3 km stretch of farmland at Fengtai, Beijing, China. An IMU and differential GPS unit, was used to provide measurement of sensor orientation and position. Data with an average spatial resolution of 2.8 cm was collected. The predominant land cover in the study area was low grass. Data collection took around 30 minutes, and this is substantially quicker than the time that would be required to collect comparable data from multiple scans using a conventional static terrestrial laser scanner or grid board. To provide the roughness of bare surfaces, it needs to remove the vegetation layer. The measurement results were compared with the roughness measurements made using the 1 m long grid board. They show a consistent performance. This paper therefore contributes to the discussion on new methodologies for the rapid survey of the roughness of different surfaces, helping to provide soil moisture retrieval with a clearer view of dynamic environments in which it has previously been very difficult to survey using ground based surveying technology.
Soil Roughness Mobile Laser Scanner Soil Moisture Microwave Emission Models
Ruofei Zhong Jianxi Huang Huili Gong Wei Su Qin Li Mengli Qin
Key Lab of 3D Information Acquisition and Application, Capital Normal University, MOE, Beijing 10004 College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, P.
国际会议
南昌
英文
990-996
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）