<p> Light detection and ranging (LiDAR) data and field observations were used to create a new tectonogeomorphic strip map along the San Andreas Fault from Wrightwood 47 km southeast to Highland. Three hundred and thirty one geomorphic features were identified and the displacements of 23 offset and deflected streams were measured using Quick Terrain Modeler (QTM). Offsets cluster around 10-50 m, and only one offset is smaller than 5 m, and a few larger offsets (100 m-200 m). </p><p> The primary purpose of this project, besides creating the strip map, was to determine how slip is transferred between the northern San Jacinto fault and Mojave-San Bernardino segments in the Cajon Pass area. Previously published slip rate data suggests slip transfer from the San Jacinto fault to the San Andreas fault between Badger Canyon and Cajon Creek at Cajon Pass area. However, there are no significant changes in offset amounts along the northern end of the San Bernardino segment, and the most likely location for slip transfer would be Cajon Pass.</p>

<p> Geomorphologic methods document poorly exposed tectonically active structures in the first study to determine quantified ages for Quaternary Age fluvial terraces at Santa Cruz Creek. GPS surveys of three flights of terrace surfaces and a stream gradient profile reveal deformation at the Baseline/Los Alamos fault zone and Little Pine fault. Optically Stimulated Luminescence (OSL) dating was employed to determine ages for the terraces. The formation age of Terrace 1 is 19.3 ka with an incision rate of 1.63 to 1.82 mm/yr, Terrace 2 was dated at 32.9 ka with incision rate of2.02 to 1.82 mm/yr. Based on incision rates an estimated age of 44.0-47.0 ka was calculated for Terrace 3. Offsets in T-2 and T-3 were used to calculate a short term faulting rates of .91 mm/yr and a long term faulting rate of 0.67 to 0. 73 mm/yr for the Baseline/Los Alamos fault.</p>

<p> Light Detection And Ranging (LiDAR) data can be used to accurately model three- dimensional surfaces for quantifying fluvial erosion and deposition. Terrestrial LiDAR is typically used for monitoring banks, but can be used for monitoring planar forms such as point bars. Point bars are topographic features that form on the convex bank of a meander. While point bars are considered to be formed by depositional processes, they display features such as chute channels and scour holes that suggest that erosion, due to high flow events, may significantly influence point bar evolution. Through the use of Terrestrial Laser Scanning (TLS), we observed how a point bar on the White Clay Creek near Newark, Delaware, responded to a flood event with a return period of 6.1 years, and to multiple small events over a 1 year period with return periods between 1.00 and 1.25 years. Scans of the point bar were completed on April 11, 2014, May 8, 2014, and April 16, 2015. Scans were referenced to a common coordinate system, scan data representing vegetation points were removed, and three 0.1 m x 0.1 m gridded Digital Elevation Models (DEMs) were created from the remaining data. DEMs of Difference (DoDs) were calculated by subtracting the cell values in subsequent DEMs and by thresholding out positional and surface roughness errors. The 6.1 year flood that occurred between the April 11, 2014 scan and the May 8, 2014 scan resulted in 88.53 m³ of erosion and 39.12 m³ of deposition. The net volumetric change was -49.40 m³ over an area of 631.72 m². The smaller events that occurred between the May 8, 2014 scan and the April 16, 2015 scan resulted in 13.33 m³ of erosion and 53.46 m³ of deposition. The net volumetric change was x i 40.13 m³ over an area of 620.74 m². Our results suggest that 1) sediment deposited on point bars is eroded frequently by flood events; and 2) TLS can provide useful estimates of erosion and deposition. Although our results are for a short period, longer datasets can be used to calculate sediment residence times for point bar deposits. Additionally, we can gain a better understanding of how point bar deposits are preserved in the geologic record. This information is useful for creating accurate sediment budgets, remediating contamination issues, and interpreting geologic history.</p>