Digital Close Range Photogrammetry System for Soil Erosion

被引：0

作者：

Jiang Y. ^{[1
,2
]}

Guo M. ^{[1
,3
]}

Zhao J. ^{[1
,3
]}

Wen Z. ^{[1
,4
]}

Lin Q. ^{[5
]}

Shi H. ^{[1
,3
]}

机构：

[1] Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, 712100, Shaanxi

[2] University of Chinese Academy of Sciences, Beijing

[3] Institute of Soil and Water Conservation, Northwest A&F University, Yangling, 712100, Shaanxi

[4] College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi

[5] Xi'an Dunrui Surveying Technology Co., Ltd., Xi'an

来源：

Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery | 2019年 / 50卷 / 07期

关键词：

Accuracy evaluation; Camera calibration; Digital close range photogrammetry system; Digital point cloud; Soil erosion;

D O I：

10.6041/j.issn.1000-1298.2019.07.031

中图分类号：

学科分类号：

摘要：

Observing soil erosion process at fine spatial and temporal scale is of great significance to the study of soil erosion mechanism. A digital close range photogrammetric observation system based on wireless networking technique was explored and established. The evolution of soil surface topography was dynamically monitored by instantaneous image acquisition at different time intervals during ongoing rainfall. Noises on the images such as raindrops was removed by K-means clustering, digital point clouds were calculated and digital elevation model (DEM) was then generated. The results showed that the measurement precision of the established system could reach a sub-millimeter level, and the minimum measurement error was 0.006 2 mm. The maximum relative error between the measured value and the actual value was -2.968 3%. According to the experimental observations, the average relative error of soil loss was -1.73%, and the accuracy of single observation was up to 99.26%. The established digital photogrammetric observation system could accurately calculate the digital point cloud from the underlying surface with 1 min time interval and 2 mm spatial resolution. The observation methods explored provided a reliable way to monitor soil erosion processes, especially under rainfall conditions, which was of great importance in understanding soil erosion mechanisms. © 2019, Chinese Society of Agricultural Machinery. All right reserved.

引用

页码：281 / 290

页数：9

共 37 条

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