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geological survey network historical topographic maps collection
(a) Portion of an <t>HTMC</t> map in Osage County, OK from 1973. Colored circles indicate O&G wells: purple = documented wells, blue = detected wells, and red = potential UOWs. The numbers in dark blue are unique IDs assigned to each detected well. Numbers in brown represent the distance in meters of the potential UOW to the closest documented well. (b) Zoomed satellite image of the area showing an oil rig 9.4 m away from the detected well symbol. (c) Portion of an HTMC map for Kern County, CA from 1953 with wells indicated as described in (a). (d) Satellite image of the same area of (c) showing no structure currently visible. (e) Zoomed-in historic aerial photo from 1956 showing the presence of a structure. (f) Magnetic survey (dots) showing signal compatible with the presence of an underground well. Maximum value of the anomaly being 6.5 m away from detected coordinates. The background is a 2D linear interpolation of the magnetic field from the dots on a color scale shown on the right, and is intended as a visual aid to visualize the magnetic field anomaly.
Historical Topographic Maps Collection, supplied by geological survey network, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/topographic+map/historical+topographic+maps+collection/pmc11656717-32-28-25
Average 90 stars, based on 1 article reviews
historical topographic maps collection - by Bioz Stars, 2026-10
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Images

1) Product Images from "A Deep Learning Based Framework to Identify Undocumented Orphaned Oil and Gas Wells from Historical Maps: A Case Study for California and Oklahoma"

Article Title: A Deep Learning Based Framework to Identify Undocumented Orphaned Oil and Gas Wells from Historical Maps: A Case Study for California and Oklahoma

Journal: Environmental Science & Technology

doi: 10.1021/acs.est.4c04413

(a) Portion of an HTMC map in Osage County, OK from 1973. Colored circles indicate O&G wells: purple = documented wells, blue = detected wells, and red = potential UOWs. The numbers in dark blue are unique IDs assigned to each detected well. Numbers in brown represent the distance in meters of the potential UOW to the closest documented well. (b) Zoomed satellite image of the area showing an oil rig 9.4 m away from the detected well symbol. (c) Portion of an HTMC map for Kern County, CA from 1953 with wells indicated as described in (a). (d) Satellite image of the same area of (c) showing no structure currently visible. (e) Zoomed-in historic aerial photo from 1956 showing the presence of a structure. (f) Magnetic survey (dots) showing signal compatible with the presence of an underground well. Maximum value of the anomaly being 6.5 m away from detected coordinates. The background is a 2D linear interpolation of the magnetic field from the dots on a color scale shown on the right, and is intended as a visual aid to visualize the magnetic field anomaly.
Figure Legend Snippet: (a) Portion of an HTMC map in Osage County, OK from 1973. Colored circles indicate O&G wells: purple = documented wells, blue = detected wells, and red = potential UOWs. The numbers in dark blue are unique IDs assigned to each detected well. Numbers in brown represent the distance in meters of the potential UOW to the closest documented well. (b) Zoomed satellite image of the area showing an oil rig 9.4 m away from the detected well symbol. (c) Portion of an HTMC map for Kern County, CA from 1953 with wells indicated as described in (a). (d) Satellite image of the same area of (c) showing no structure currently visible. (e) Zoomed-in historic aerial photo from 1956 showing the presence of a structure. (f) Magnetic survey (dots) showing signal compatible with the presence of an underground well. Maximum value of the anomaly being 6.5 m away from detected coordinates. The background is a 2D linear interpolation of the magnetic field from the dots on a color scale shown on the right, and is intended as a visual aid to visualize the magnetic field anomaly.

Techniques Used:

Related Articles

other:

Article Title: Mapping Cancer for Community Engagement
Article Snippet: We overlaid our cancer burden layer at 50% transparency with a 1:100,000-scale US Geological Survey topographic map of Iowa, to allow topographic and other settlement information to be seen through the cancer layer.

Article Title: Developing and Evaluating an ESRI Story Map as an Educational Tool
Article Snippet: A US Geological Survey (USGS) topographic map, DEM, web maps of slope and aspect, and the landscape position web scene were linked and configured in teaching tabs.

Article Title: The streaming of plastic in the Mediterranean Sea
Article Snippet: For the Asiatic and African coasts, a shore-gradient map was obtained from a topographic map provided by the US Geological Survey website ( https://earthexplorer.usgs.gov/ ).

Article Title: Leaf construction cost, nutrient concentration, and net CO 2 assimilation of native and invasive species in Hawaii.
Article Snippet: The e ects of biological invasions are most evident in isolated oceanic islands such as the Hawaiian Archipelago, where invasive plant species are rapidly changing the composition and function of plant communities.. In this study, we compared the speci®c leaf area (SLA), leaf tissue construction cost (CC), leaf nutrient concentration, and net CO2 assimilation (A) of 83 populations of 34 native and 30 invasive species spanning elevation and substrate age gradients on Mauna Loa volcano in the island of Hawaii.. In this complex environmental matrix, where annual precipitation is higher than 1500 mm, we predicted that invasive species, as a group, will have leaf traits, such as higher SLA and A and lower leaf CC, which may result in more e cient capture of limiting resources (use more resources at a lower carbon cost) than native species.

Article Title: American Woodcock Habitat Changes in Canaan Valley and Environs
Article Snippet: Canaan Valley contains important habitat for Scolopax minor (American Woodcock) in the mid-Atlantic states, especially in West Virginia.. Throughout the eastern United States, however, this species has experienced significant population declines since the US Fish and Wildlife Service began monitoring its populations in 1968.. Losses of early successional habitats through urbanization and forest-stand maturation have been identified as probable causes for the decrease in population.

Northern Blot:

Article Title: Methods and challenges to locating legacy wells in western Pennsylvania: Case study at Hillman State Park
Article Snippet: This study demonstrates the application of aeromagnetic surveys for locating late 1800s-era oil and gaswells inHillmanState Park.. The study area in southwestern Pennsylvania offered several unique challenges to locating legacy wells.. Location records for many of Pennsylvania’s legacy wells do not exist.

Produced:

Article Title: Proximal lava drainage controls on basaltic fissure eruption dynamics
Article Snippet: .. The broad trends in themap are also consistent with the relatively low resolution topographic map (1:24,000 scale; 6.1 m vertical resolution) produced by the US Geological Survey before the 1969 eruption (Plate 1 of Swanson et al. 1979). ..

Modification:

Article Title: Variability in carbon uptake and (re)cycling in Antarctic cryptoendolithic microbial ecosystems demonstrated through radiocarbon analysis of organic biomarkers.
Article Snippet: Funding information Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant Program; NSERC Accelerator Supplement Program; NSERC CREATE Canadian Astrobiology Training Program (CATP); NASA Astrobiology Program Abstract Cryptoendolithic lichens and cyanobacteria living in porous sandstone in the highelevation McMurdo Dry Valleys are purported to be among the slowest growing organisms on Earth with cycles of death and regrowth on the order of 103–104 years.. Here, organic biomarker and radiocarbon analysis were used to better constrain ages and carbon sources of cryptoendoliths in University Valley (UV; 1,800 m.a.s.l) and neighboring Farnell Valley (FV; 1,700 m.a.s.l).. Δ14C was measured for membrane component phospholipid fatty acids (PLFA) and glycolipid fatty acids, as well as for total organic carbon (TOC).



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geological survey network historical topographic maps collection
(a) Portion of an <t>HTMC</t> map in Osage County, OK from 1973. Colored circles indicate O&G wells: purple = documented wells, blue = detected wells, and red = potential UOWs. The numbers in dark blue are unique IDs assigned to each detected well. Numbers in brown represent the distance in meters of the potential UOW to the closest documented well. (b) Zoomed satellite image of the area showing an oil rig 9.4 m away from the detected well symbol. (c) Portion of an HTMC map for Kern County, CA from 1953 with wells indicated as described in (a). (d) Satellite image of the same area of (c) showing no structure currently visible. (e) Zoomed-in historic aerial photo from 1956 showing the presence of a structure. (f) Magnetic survey (dots) showing signal compatible with the presence of an underground well. Maximum value of the anomaly being 6.5 m away from detected coordinates. The background is a 2D linear interpolation of the magnetic field from the dots on a color scale shown on the right, and is intended as a visual aid to visualize the magnetic field anomaly.
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Image Search Results


a Map of the time-series clusters; b The resulting mean values for both the Available Habitat Area (AHA; orange) and Human Modification Density (HMD; blue) for the ten time-series clusters across the five dispersal distances. The shaded area around each line shows the standard deviation of the values across all the pixels that fall within each cluster for which the mean is the solid line. Insets in (a) show zoomed in regions showing significant visual patterns in clustering. The background topographic map is from Esri, TomTom, Garmin, FAO, NOAA.

Journal: Landscape Ecology

Article Title: A novel method to assess spatio-temporal habitat availability for a generalist indicator species group in human-modified landscapes

doi: 10.1007/s10980-025-02124-x

Figure Lengend Snippet: a Map of the time-series clusters; b The resulting mean values for both the Available Habitat Area (AHA; orange) and Human Modification Density (HMD; blue) for the ten time-series clusters across the five dispersal distances. The shaded area around each line shows the standard deviation of the values across all the pixels that fall within each cluster for which the mean is the solid line. Insets in (a) show zoomed in regions showing significant visual patterns in clustering. The background topographic map is from Esri, TomTom, Garmin, FAO, NOAA.

Article Snippet: The background topographic map is from Esri, TomTom, Garmin, FAO, NOAA. ( ) When comparing the HMD to the AHA trajectories, the trends of AHA are not consistent with the trends in HMD.

Techniques: Modification, Standard Deviation

a Map of the time-series clusters; b The resulting mean values for both the Available Habitat Area (AHA; orange) and Human Modification Density (HMD; blue) for the ten time-series clusters across the five dispersal distances. The shaded area around each line shows the standard deviation of the values across all the pixels that fall within each cluster for which the mean is the solid line. Insets in (a) show zoomed in regions showing significant visual patterns in clustering. The background topographic map is from Esri, TomTom, Garmin, FAO, NOAA.

Journal: Landscape Ecology

Article Title: A novel method to assess spatio-temporal habitat availability for a generalist indicator species group in human-modified landscapes

doi: 10.1007/s10980-025-02124-x

Figure Lengend Snippet: a Map of the time-series clusters; b The resulting mean values for both the Available Habitat Area (AHA; orange) and Human Modification Density (HMD; blue) for the ten time-series clusters across the five dispersal distances. The shaded area around each line shows the standard deviation of the values across all the pixels that fall within each cluster for which the mean is the solid line. Insets in (a) show zoomed in regions showing significant visual patterns in clustering. The background topographic map is from Esri, TomTom, Garmin, FAO, NOAA.

Article Snippet: The background topographic map is from Esri, TomTom, Garmin, FAO, NOAA. ( ) When comparing the HMD to the AHA trajectories, the trends of AHA are not consistent with the trends in HMD.

Techniques: Modification, Standard Deviation

(a) Portion of an HTMC map in Osage County, OK from 1973. Colored circles indicate O&G wells: purple = documented wells, blue = detected wells, and red = potential UOWs. The numbers in dark blue are unique IDs assigned to each detected well. Numbers in brown represent the distance in meters of the potential UOW to the closest documented well. (b) Zoomed satellite image of the area showing an oil rig 9.4 m away from the detected well symbol. (c) Portion of an HTMC map for Kern County, CA from 1953 with wells indicated as described in (a). (d) Satellite image of the same area of (c) showing no structure currently visible. (e) Zoomed-in historic aerial photo from 1956 showing the presence of a structure. (f) Magnetic survey (dots) showing signal compatible with the presence of an underground well. Maximum value of the anomaly being 6.5 m away from detected coordinates. The background is a 2D linear interpolation of the magnetic field from the dots on a color scale shown on the right, and is intended as a visual aid to visualize the magnetic field anomaly.

Journal: Environmental Science & Technology

Article Title: A Deep Learning Based Framework to Identify Undocumented Orphaned Oil and Gas Wells from Historical Maps: A Case Study for California and Oklahoma

doi: 10.1021/acs.est.4c04413

Figure Lengend Snippet: (a) Portion of an HTMC map in Osage County, OK from 1973. Colored circles indicate O&G wells: purple = documented wells, blue = detected wells, and red = potential UOWs. The numbers in dark blue are unique IDs assigned to each detected well. Numbers in brown represent the distance in meters of the potential UOW to the closest documented well. (b) Zoomed satellite image of the area showing an oil rig 9.4 m away from the detected well symbol. (c) Portion of an HTMC map for Kern County, CA from 1953 with wells indicated as described in (a). (d) Satellite image of the same area of (c) showing no structure currently visible. (e) Zoomed-in historic aerial photo from 1956 showing the presence of a structure. (f) Magnetic survey (dots) showing signal compatible with the presence of an underground well. Maximum value of the anomaly being 6.5 m away from detected coordinates. The background is a 2D linear interpolation of the magnetic field from the dots on a color scale shown on the right, and is intended as a visual aid to visualize the magnetic field anomaly.

Article Snippet: In this study, we describe a semiautomated, transferable method developed for the CATALOG program to identify UOWs at regional scales in the US using the US Geological Survey (USGS) Historical Topographic Maps Collection (HTMC), a digital archive of about 190,000 georeferenced topographic maps published between 1884 and 2006.

Techniques: