Timothy L. Bailey
Jennifer A. Curtis
20170101
1992 digital surface model Malakoff Diggins State Historic Park, California
Raster Digital Data Set
Eureka, CA
U.S. Geological Survey
https://doi.org/10.5066/F7T152J9
One of the largest hydraulic mines (1.6 km2) is located in California’s Sierra Nevada within the Humbug Creek watershed and Malakoff Diggins State Historic Park (MDSHP). MDSHP’s denuded and dissected landscape is composed of weathered Eocene auriferous sediments susceptible to chronic rill and gully erosion whereas block failures and debris flows occur in more cohesive terrain. This data release includes a 1992 digital surface model (DSM), 1992 orthophoto mosaic, masked orthophoto of the study area, 1992 ground cover classification, and 1992 pruned DSM with the vegetation bias removed. Stereo-photogrammetry was used to create a 1992 digital surface model (DSM) and orthophoto mosaic from archived aerial photographs. These datasets can be used to map vegetation and topographic change and to quantify volumetric differences and estimate erosion rates by co-referencing and differencing the 1992 DSM from more recent bare earth digital elevation models. Any direct volumetric comparison using these datasets should consider the horizontal and vertical minimum thresholds of significance as well as vegetation bias. The original DSM was derived using stereo photogrammetry and includes all vegetation components. To facilitate topographic change analysis a pruned DSM was created. The vegetation bias was removed from the pruned DSM using a ground cover classification. It is recommended that the pruned DSM be used for any topographic or volumetric change analysis.
Malakoff Diggins State Historic Park includes a large rapidly eroding hydraulic mine pit. This data release includes a 1992 digital surface model (DSM), 1992 orthophoto mosaic, masked orthophoto of the study area, 1992 ground cover classification, and 1992 pruned DSM with the vegetation bias removed. These datasets can be used to map vegetation and topographic change, quantify volumetric differences and estimate erosion rates by co-referencing and differencing the 1992 DSM from more recent bare earth digital elevation models. It is recommended that the pruned DSM be used for any topographic or volumetric change analysis.
19920725
observed
None planned
-120.942770504
-120.881817608
39.385743755
39.35274488
ISO 19115 Topic Category
elevation
USGS Thesaurus
remote sensing
erosion
placer mine
digital elevation models
orthomosaic
sedimentation
aerial photography
photogrammetry
USGS Metadata Identifier
USGS:59ea84fbe4b0026a55fd012f
Geographic Names Information System (GNIS)
Malakoff Diggins State Historic Park
Humbug Creek
None
Distributor assumes no liability for misuse of data.
Jennifer A. Curtis
U.S. Geological Survey
Mailing and Physical
716 UNIT E W Cedar Street
Eureka
CA
95501
US
707-442-3169
jacurtis@usgs.gov
Timothy L. Bailey (Humboldt State University) Jennifer A. Curtis (USGS) This project was funded by California State Parks
Environment as of Metadata Creation: Microsoft [Unknown] Version 6.2 (Build 9200) ; Esri ArcGIS 10.5 (Build 6491) Service Pack N/A (Build N/A)
Photogrammetric model errors estimated using root mean square error (RMSE) estimated using nine ground control points. RMSE (x) = 0.660 meters, RMSE (y) = 1.016 meters, RMSE (z) = 0.938 meters, Total RMSE = 1.532 meters.
No formal logical accuracy tests were conducted
Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.
Photogrammetric model errors estimated using root mean square error (RMSE) estimated using nine ground control points. RMSE (x) = 0.660 meters, RMSE (y) = 1.016 meters, RMSE (z) = 0.938 meters, Total RMSE = 1.532 meters.
Photogrammetric model errors estimated using root mean square error (RMSE) estimated using nine ground control points. RMSE (x) = 0.660 meters, RMSE (y) = 1.016 meters, RMSE (z) = 0.938 meters, Total RMSE = 1.532 meters.
USDA Forest Service
19920725
Tahoe National Forest 1992 aerial photography
Raster Digital Data (Aerial Imagery)
Salt Lake City
USDA APFO
Digital and/or Hardcopy Resources
19920725
Unknown
1992 Imagery
Scanned aerial imagery used to create digital surface model
Jennifer A. Curtis
20170101
2014 digital elevation model
Raster Digital Data Set
Eureka, CA
U.S. Geological Survey
https://doi.org/10.5066/F7ST7NQZ
Digital and/or Hardcopy Resources
20141001
publication date
2014 DEM
XYZ coordinates were extracted from the 2014 DEM and used as ground control points for the 1992 digital surface model.
High resolution scans of aerial imagery collected on 07/25/1992 were aligned using fiducial marks and cropped to create a set of images with a uniform orientation and size.
20160101
XYZ coordinates were extracted from the 2014 DEM and used as ground control points for the 1992 digital surface model.
20160101
Ground controls point were marked on scanned aerial imagery using Agisoft Photoscan (v1.2.5) tools.
20160101
Initial camera calibration information was extracted from the camera calibration report. Airphotos were then aligned and referenced using the ground control points, and a sparse point cloud was built using Agisoft Photoscan (v1.2.5)
20160101
The internal geometry of the digital surface model (DSM) was optimized through an error reduction workflow that uses gradual selection tools to identify and remove low accuracy data points using Agisoft Photoscan (v1.2.5).
20160101
A dense point cloud was built using the optimized camera calibration using Agisoft Photoscan (v1.2.5).
20160101
Dense point cloud, digital surface model and orthophoto exported in geotiff format using Agisoft Photoscan (v1.2.5).
20160101
Raster
Grid Cell
3545
5172
1
Universal Transverse Mercator
10
0.9996
-123.0
0.0
500000.0
0.0
row and column
1.0
1.0
meters
D_North_American_1983
GRS_1980
6378137.0
298.257222101
1992dsm_Malakoff_Diggins_SHP_California.tif
Raster geospatial data file.
Producer defined
Value
elevation in meters
Producer defined
869.588745117
1168.98791504
The entity and attribute information provided here describes the tabular data associated with the data set. Please review the detailed descriptions that are provided (the individual attribute descriptions) for information on the values that appear as fields/table entries of the data set.
The entity and attribute information was generated by the individual and/or agency identified as the originator of the data set. Please review the rest of the metadata record for additional details and information.
U.S. Geological Survey
GS ScienceBase
mailing address
Denver Federal Center, Building 810, Mail Stop 302
Denver
CO
80225
United States
1-888-275-8747
sciencebase@usgs.gov
Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty."
Digital Data
https://doi.org/10.5066/F7T152J9
None. No fees are applicable for obtaining the data set.
20200812
Jennifer A. Curtis
U.S. Geological Survey
Geologist
Mailing and Physical
716 UNIT E W.Cedar St.
Eureka
CA
95501
US
707-442-3169
jacurtis@usgs.gov
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
Record created using USGS Metadata Wizard tool. (https://github.com/usgs/fort-pymdwizard)