Filters: Tags: geological maps (X)
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Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort. To address this limitation, the USGS partnered with the Defense Advanced Research Projects Agency (DARPA) to run the AI for Critical Mineral Assessment Competition, soliciting innovative solutions for automatically georeferencing and extracting features from maps. The competition opened for registration in August 2022 and concluded in December 2022. Training and validation data from the map feature extraction challenge are provided here, as well as competition details and a baseline solution. The data were derived from published sources and are provided...
Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort. To address this limitation, the USGS partnered with the Defense Advanced Research Projects Agency (DARPA) to run the AI for Critical Mineral Assessment Competition, soliciting innovative solutions for automatically georeferencing and extracting features from maps. The competition opened for registration in August 2022 and concluded in December 2022. Training and validation data from the map georeferencing challenge are provided here, as well as competition details and a baseline solution. The data were derived from published sources and are provided...
Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort. To address this limitation, the USGS partnered with the Defense Advanced Research Projects Agency (DARPA) to run the AI for Critical Mineral Assessment Competition, soliciting innovative solutions for automatically georeferencing and extracting features from maps. The competition opened for registration in August 2022 and concluded in December 2022. Training and validation data from the competition are provided here, as well as competition details and baseline solutions. The data are derived from published sources and are provided to the public to...
History:This collection of geologic, mine, and related maps was compiled and used by S. Warren Hobbs for his research on the Coeur d’alene Mining District, Idaho - Professional Paper 478 (1965).The Coeur d’Alene Study:General geology of the Coeur d’Alene district, one of the larger lead-, zinc-, and silver-producing areas of the world, is presented. The geology was remapped at a scale of 1:24,000 and compiled on five maps from west to east as follows: Smelterville, Kellogg, Wallace, Mullan, and Pottsville. Bedrock, primarily the Precambrian Belt Series which forms the host rock for the ore, is a thick conformable geosynclinal group of fine-grained clastics. Igneous rocks are principally two groups of small monzonitic...
Categories: Collection,
Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Collection,
Geology,
Idaho,
completed,
critical resources,
The bedrock geology for the Glacial Environments and Surficial Sediments (GESS) geodatabase is an amalgamation of several “Integrated Geologic Map Databases for the United States” (Dicken and others, 2008; Ludington and others, 2007; Nicholson and others, 2007-1,-2,-3; Stoeser and others, 2007). Using the LITH62 and LITH62MINO attribute values from that series of maps and the associated lithclass 6.2 code text descriptions from the geodatabase, spatial elements of that geodatabase were grouped. A new GESS attribute was created, “Litho_class,” and each spatial element was given a Litho_class value of non-carbonate sedimentary rock, carbonate rock, non-carbonate metamorphic rock, volcanic rock, plutonic rock, or unconsolidataed...
This collection consists of legacy geological maps created and collected by Warren Hobbs during his tungsten assessments during his career with the USGS. These maps are from locations across the western United States. These maps were gathered for the purpose of conducting a national tungsten assessment.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Data,
Geological Collection,
Warren Hobbs,
Warren Hobbs,
Western United States,
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