Badland Erosion and Its Morphometric Features in the Tropical Monsoon Area

• Published in: Remote sensing (Basel, Switzerland) Vol. 11; no. 24; p. 3051
• Main Authors: Yang, Ci-Jian, Yeh, Li-Wei, Cheng, Yeuan-Chang, Jen, Chia-Hung, Lin, Jiun-Chuan
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 17.12.2019
• Subjects: Aerial surveys; Annual precipitation; Archives & records; Climate effects; Climatic conditions; Comparative studies; Correlation; Digital Elevation Models; Drainage; Drainage basins; Drainage density; Earth surface; Erosion rates; Gravity; Hydrologic cycle; Hydrology; Landslides; Mass wasting; Monsoons; Morphology; Photogrammetry; Rainfall; Remote sensing; Sediments; Soil erosion; Topography; Unmanned aerial vehicles; Wind; Italy; Taiwan
• DOI: 10.3390/rs11243051
• ISSN: 2072-4292

Climatically driven processes are important controls on the Earth’s surface and on interactions between the hydrological cycle and erosion in drainage basins. As a result, landscape forms such as hillslope topography can be used as an archive to reconstruct historical climatic conditions. Recent progress in the Structure-from-Motion (SfM) photogrammetric technique allows for the construction of high-resolution, low-cost topography data using remote-controlled unmanned aerial vehicle (UAV) surveys. Here, we present the climatic effects on the hillslope erosion rate that can be obtained from the drainage frequency of hillslopes. We quantify the centimeter-scale accuracy of surveys across 72 badland hillslopes in SE Taiwan, which is a tropical monsoon area with an annual precipitation of over 2 m. Our observations indicate that climatic erosion results in a higher drainage frequency and the number of furrows, instead of drainage density. Additionally, the morphometric slope index (MSI) has a strong positive correlation with erosion and its rate but shows a negative correlation with drainage length and a positive correlation with inclination. This suggests that the erosion pattern is due to gravitational mass wasting instead of hydrological erosion. MSI should always be calculated relying on the normalized slope length and is less applicable to landslide-dominated erosion. We, therefore, suggest that UAV-driven digital elevation models (DEMs) are integrated into erosion mapping to aid in identifying erosion patterns. We highlight the unique opportunity for cross-climate zone comparative studies offered by badland landscapes and differential rainfall patterns, with remote sensing techniques and the morphometric slope index.