Item talk:Q247113
From geokb
{
"USGS Publications Warehouse": {
"@context": "https://schema.org",
"@type": "CreativeWork",
"additionalType": "Conference Paper",
"name": "LIDAR & SASW technologies for geotechnical earthquake engineering",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "USGS Publications Warehouse IndexID",
"value": "70242732",
"url": "https://pubs.usgs.gov/publication/70242732"
},
{
"@type": "PropertyValue",
"propertyID": "USGS Publications Warehouse Internal ID",
"value": 70242732
},
{
"@type": "PropertyValue",
"propertyID": "DOI",
"value": "10.4133/1.2923583",
"url": "https://doi.org/10.4133/1.2923583"
}
],
"inLanguage": "en",
"datePublished": "2006",
"dateModified": "2023-04-14",
"abstract": "Geotechnical engineering methods are validated through comparison of field\u2010data of surface deformations and sub\u2010surface state properties. Recent advances in non\u2010invasive surface imaging and sub\u2010surface stiffness characterization allow us to rapidly and inexpensively map these spatial and physical properties in two and three dimensions. In this paper, we discuss new technologies used at the United States Geological Survey (USGS), ground\u2010based LIDAR (Light Detection And Ranging) used to create ultra high\u2010resolution three\u2010dimensional digital terrain models, and surface wave methods used to characterize soil stiffness properties. The power of LIDAR technology in earthquake engineering is its ability to rapidly capture the extremely high detail of failure morphologies, to view them in orientations not previously possible, and to permanently archive them for the engineering research community. The power of surface wave methods, like Spectral Analysis of Surface Waves (SASW), is their ability to non\u2010invasively and rapidly characterize the stiffness of the ground, to be relatively lightweight and efficient in deployment; and to accurately profile difficult materials such as gravely deposits and stiff soils where conventional methods are not practical. Three active\u2010source SASW systems used by the USGS are described here, a single\u2010source harmonic wave vibration system; a large parallel\u2010array harmonic wave source system; and a seafloor harmonic wave source system. LIDAR and SASW methods allow researchers to directly relate detailed surface damage with the shear wave velocity properties of the ground. LIDAR imagery and movies, and SASW datasets can be viewed at http://walrus.wr.usgs.gov/geotech.",
"description": "11 p.",
"publisher": {
"@type": "Organization",
"name": "Environmental and Engineering Geophysical Society"
},
"author": [
{
"@type": "Person",
"name": "Kayen, Robert",
"givenName": "Robert",
"familyName": "Kayen",
"identifier": {
"@type": "PropertyValue",
"propertyID": "ORCID",
"value": "0000-0002-0356-072X",
"url": "https://orcid.org/0000-0002-0356-072X"
},
"affiliation": [
{
"@type": "Organization",
"name": "Pacific Coastal and Marine Science Center",
"url": "https://www.usgs.gov/centers/pacific-coastal-and-marine-science-center"
}
]
},
{
"@type": "Person",
"name": "Collins, Brian D. bcollins@usgs.gov",
"givenName": "Brian D.",
"familyName": "Collins",
"email": "bcollins@usgs.gov",
"identifier": {
"@type": "PropertyValue",
"propertyID": "ORCID",
"value": "0000-0003-4881-5359",
"url": "https://orcid.org/0000-0003-4881-5359"
},
"affiliation": [
{
"@type": "Organization",
"name": "Geology, Minerals, Energy, and Geophysics Science Center",
"url": "https://www.usgs.gov/centers/gmeg"
},
{
"@type": "Organization",
"name": "Coastal and Marine Geology Program",
"url": "https://www.usgs.gov/programs/cmhrp"
}
]
}
],
"funder": [
{
"@type": "Organization",
"name": "Coastal and Marine Geology Program",
"url": "https://www.usgs.gov/programs/cmhrp"
},
{
"@type": "Organization",
"name": "Pacific Coastal and Marine Science Center",
"url": "https://www.usgs.gov/centers/pacific-coastal-and-marine-science-center"
}
]
},
"OpenAlex": {
"abstract_inverted_index": {
"PreviousNext": [
0
],
"No": [
1
],
"AccessSymposium": [
2
],
"on": [
3,
304,
358
],
"the": [
4,
115,
160,
181,
206,
209,
244,
282,
288,
305,
359
],
"Application": [
5,
306,
360
],
"of": [
6,
70,
72,
148,
164,
187,
194,
208,
287,
307,
361
],
"Geophysics": [
7,
308,
362
],
"to": [
8,
56,
91,
128,
141,
157,
167,
176,
201,
211,
220,
275,
309,
363
],
"Engineering": [
9,
310,
328,
332,
364
],
"and": [
10,
38,
75,
85,
93,
98,
103,
136,
175,
203,
215,
219,
229,
262,
270,
292,
294,
311,
327,
344,
365
],
"Environmental": [
11,
312,
326,
366
],
"Problems": [
12,
313,
367
],
"2006LIDAR": [
13
],
"&": [
14,
331,
350
],
"SASW": [
15,
240,
271,
295,
351
],
"Technologies": [
16,
352
],
"for": [
17,
32,
48,
180,
353
],
"Geotechnical": [
18,
63,
354
],
"Earthquake": [
19,
355
],
"EngineeringAuthors:": [
20
],
"Robert": [
21,
342
],
"KayenBrian": [
22
],
"D.": [
23,
40,
346
],
"CollinsRobert": [
24
],
"KayenU.S.": [
25
],
"Geological": [
26,
42,
118
],
"Survey,": [
27,
43
],
"Menlo": [
28,
44
],
"Park,": [
29,
45
],
"CA,": [
30,
46
],
"USASearch": [
31,
47
],
"more": [
33,
49
],
"papers": [
34,
50
],
"by": [
35,
51,
243
],
"this": [
36,
52,
107
],
"author": [
37
],
"Brian": [
39,
345
],
"CollinsU.S.": [
41
],
"authorhttps://doi.org/10.4133/1.2923583": [
53
],
"SectionsAboutPDF/ePub": [
54
],
"ToolsAdd": [
55
],
"favoritesDownload": [
57
],
"CitationsTrack": [
58
],
"CitationsPermissions": [
59
],
"ShareFacebookTwitterLinked": [
60
],
"InRedditEmail": [
61
],
"Abstract": [
62
],
"engineering": [
64,
153,
182
],
"methods": [
65,
139,
234,
272
],
"are": [
66,
235,
246
],
"validated": [
67
],
"through": [
68
],
"comparison": [
69
],
"field\u2010data": [
71
],
"surface": [
73,
83,
137,
188,
279
],
"deformations": [
74
],
"sub\u2010surface": [
76,
86
],
"state": [
77
],
"properties.": [
78,
145
],
"Recent": [
79
],
"advances": [
80
],
"in": [
81,
101,
151,
170,
217
],
"non\u2010invasive": [
82
],
"imaging": [
84
],
"stiffness": [
87,
144,
207
],
"characterization": [
88
],
"allow": [
89,
273
],
"us": [
90
],
"rapidly": [
92,
158,
204
],
"inexpensively": [
94
],
"map": [
95
],
"these": [
96
],
"spatial": [
97
],
"physical": [
99
],
"properties": [
100,
286
],
"two": [
102
],
"three": [
104
],
"dimensions.": [
105
],
"In": [
106
],
"paper,": [
108
],
"we": [
109
],
"discuss": [
110
],
"new": [
111
],
"technologies": [
112
],
"used": [
113,
127,
140,
242
],
"at": [
114,
300
],
"United": [
116
],
"States": [
117
],
"Survey": [
119
],
"(USGS),": [
120
],
"ground\u2010based": [
121
],
"LIDAR": [
122,
149,
269,
290
],
"(Light": [
123
],
"Detection": [
124
],
"And": [
125
],
"Ranging)": [
126
],
"create": [
129
],
"ultra": [
130
],
"high\u2010resolution": [
131
],
"three\u2010dimensional": [
132
],
"digital": [
133
],
"terrain": [
134
],
"models,": [
135
],
"wave": [
138,
189,
252,
259,
266,
284
],
"characterize": [
142,
205
],
"soil": [
143
],
"The": [
146,
185,
325
],
"power": [
147,
186
],
"technology": [
150
],
"earthquake": [
152
],
"is": [
154,
198
],
"its": [
155
],
"ability": [
156,
200
],
"capture": [
159
],
"extremely": [
161
],
"high": [
162
],
"detail": [
163
],
"failure": [
165
],
"morphologies,": [
166
],
"view": [
168
],
"them": [
169,
179
],
"orientations": [
171
],
"not": [
172,
236
],
"previously": [
173
],
"possible,": [
174
],
"permanently": [
177
],
"archive": [
178
],
"research": [
183
],
"community.": [
184
],
"methods,": [
190
],
"like": [
191
],
"Spectral": [
192
],
"Analysis": [
193
],
"Surface": [
195
],
"Waves": [
196
],
"(SASW),": [
197
],
"their": [
199
],
"non\u2010invasively": [
202
],
"ground,": [
210
],
"be": [
212,
298
],
"relatively": [
213
],
"lightweight": [
214
],
"efficient": [
216
],
"deployment;": [
218
],
"accurately": [
221
],
"profile": [
222
],
"difficult": [
223
],
"materials": [
224
],
"such": [
225
],
"as": [
226
],
"gravely": [
227
],
"deposits": [
228
],
"stiff": [
230
],
"soils": [
231
],
"where": [
232
],
"conventional": [
233
],
"practical.": [
237
],
"Three": [
238
],
"active\u2010source": [
239
],
"systems": [
241
],
"USGS": [
245
],
"described": [
247
],
"here,": [
248
],
"a": [
249,
255,
263
],
"single\u2010source": [
250
],
"harmonic": [
251,
258,
265
],
"vibration": [
253
],
"system;": [
254,
261
],
"large": [
256
],
"parallel\u2010array": [
257
],
"source": [
260,
267
],
"seafloor": [
264
],
"system.": [
268
],
"researchers": [
274
],
"directly": [
276
],
"relate": [
277
],
"detailed": [
278
],
"damage": [
280
],
"with": [
281
],
"shear": [
283
],
"velocity": [
285
],
"ground.": [
289
],
"imagery": [
291
],
"movies,": [
293
],
"datasets": [
296
],
"can": [
297
],
"viewed": [
299
],
"http://walrus.wr.usgs.gov/geotech.Permalink:": [
301
],
"https://doi.org/10.4133/1.2923583FiguresReferencesRelatedDetails": [
302
],
"Symposium": [
303,
357
],
"2006ISSN": [
314
],
"(online):1554-8015Copyright:": [
315
],
"2006": [
316,
321,
324
],
"Pages:": [
317
],
"1820": [
318
],
"publication": [
319
],
"data\u00a9": [
320
],
"Copyright": [
322
],
"\u00a9": [
323
],
"Geophysical": [
329,
333
],
"SocietyPublisher:Environmental": [
330
],
"Society": [
334
],
"HistoryPublished": [
335
],
"Online:": [
336
],
"30": [
337
],
"Sep": [
338
],
"2008": [
339
],
"CITATION": [
340
],
"INFORMATION": [
341
],
"Kayen": [
343
],
"Collins,": [
347
],
"(2006),": [
348
],
"\"LIDAR": [
349
],
"Engineering,\"": [
356
],
"Proceedings": [
368
],
":": [
369
],
"1259-1269.": [
370
],
"https://doi.org/10.4133/1.2923583": [
371
],
"Plain-Language": [
372
],
"Summary": [
373
],
"PDF": [
374
],
"DownloadLoading": [
375
],
"...": [
376
]
},
"apc_list": null,
"apc_paid": null,
"authorships": [
{
"author_position": "first",
"author": {
"id": "https://openalex.org/A5020891096",
"display_name": "Tsuyoshi Haraguchi",
"orcid": "https://orcid.org/0000-0002-0356-072X"
},
"institutions": [],
"countries": [],
"is_corresponding": false,
"raw_author_name": "Robert Kayen",
"raw_affiliation_strings": [],
"affiliations": []
},
{
"author_position": "last",
"author": {
"id": "https://openalex.org/A5091528404",
"display_name": "Brian D. Collins",
"orcid": "https://orcid.org/0000-0003-4881-5359"
},
"institutions": [],
"countries": [],
"is_corresponding": false,
"raw_author_name": "Brian D. Collins",
"raw_affiliation_strings": [],
"affiliations": []
}
],
"best_oa_location": null,
"biblio": {
"volume": null,
"issue": null,
"first_page": null,
"last_page": null
},
"citation_normalized_percentile": null,
"cited_by_api_url": "https://api.openalex.org/works?filter=cites:W4235705152",
"cited_by_count": 0,
"cited_by_percentile_year": {
"min": 0,
"max": 62
},
"concepts": [
{
"id": "https://openalex.org/C51399673",
"wikidata": "https://www.wikidata.org/wiki/Q504027",
"display_name": "Lidar",
"level": 2,
"score": 0.6645658
},
{
"id": "https://openalex.org/C161840515",
"wikidata": "https://www.wikidata.org/wiki/Q186131",
"display_name": "Terrain",
"level": 2,
"score": 0.59254664
},
{
"id": "https://openalex.org/C127313418",
"wikidata": "https://www.wikidata.org/wiki/Q1069",
"display_name": "Geology",
"level": 0,
"score": 0.56881255
},
{
"id": "https://openalex.org/C2781113848",
"wikidata": "https://www.wikidata.org/wiki/Q2915366",
"display_name": "Geological survey",
"level": 2,
"score": 0.501461
},
{
"id": "https://openalex.org/C187320778",
"wikidata": "https://www.wikidata.org/wiki/Q1349130",
"display_name": "Geotechnical engineering",
"level": 1,
"score": 0.49324054
},
{
"id": "https://openalex.org/C2779372316",
"wikidata": "https://www.wikidata.org/wiki/Q569057",
"display_name": "Stiffness",
"level": 2,
"score": 0.42328855
},
{
"id": "https://openalex.org/C62649853",
"wikidata": "https://www.wikidata.org/wiki/Q199687",
"display_name": "Remote sensing",
"level": 1,
"score": 0.37604386
},
{
"id": "https://openalex.org/C8058405",
"wikidata": "https://www.wikidata.org/wiki/Q46255",
"display_name": "Geophysics",
"level": 1,
"score": 0.2590021
},
{
"id": "https://openalex.org/C127413603",
"wikidata": "https://www.wikidata.org/wiki/Q11023",
"display_name": "Engineering",
"level": 0,
"score": 0.21890983
},
{
"id": "https://openalex.org/C58640448",
"wikidata": "https://www.wikidata.org/wiki/Q42515",
"display_name": "Cartography",
"level": 1,
"score": 0.15165922
},
{
"id": "https://openalex.org/C205649164",
"wikidata": "https://www.wikidata.org/wiki/Q1071",
"display_name": "Geography",
"level": 0,
"score": 0.12193763
},
{
"id": "https://openalex.org/C66938386",
"wikidata": "https://www.wikidata.org/wiki/Q633538",
"display_name": "Structural engineering",
"level": 1,
"score": 0.0868437
}
],
"corresponding_author_ids": [],
"corresponding_institution_ids": [],
"countries_distinct_count": 0,
"counts_by_year": [],
"created_date": "2022-05-12",
"datasets": [],
"display_name": "LIDAR & SASW Technologies for Geotechnical Earthquake Engineering",
"doi": "https://doi.org/10.4133/1.2923583",
"fwci": 0.0,
"grants": [],
"has_fulltext": false,
"id": "https://openalex.org/W4235705152",
"ids": {
"openalex": "https://openalex.org/W4235705152",
"doi": "https://doi.org/10.4133/1.2923583"
},
"indexed_in": [
"crossref"
],
"institutions_distinct_count": 0,
"is_paratext": false,
"is_retracted": false,
"keywords": [
{
"id": "https://openalex.org/keywords/earthquake-detection",
"display_name": "Earthquake Detection",
"score": 0.56575
},
{
"id": "https://openalex.org/keywords/real-time-seismology",
"display_name": "Real-Time Seismology",
"score": 0.543958
},
{
"id": "https://openalex.org/keywords/concrete-inspection",
"display_name": "Concrete Inspection",
"score": 0.519294
},
{
"id": "https://openalex.org/keywords/seismic-phase-picking",
"display_name": "Seismic Phase Picking",
"score": 0.511686
},
{
"id": "https://openalex.org/keywords/landmine-detection",
"display_name": "Landmine Detection",
"score": 0.509194
},
{
"id": "https://openalex.org/keywords/geological-survey",
"display_name": "Geological survey",
"score": 0.501461
}
],
"language": "en",
"locations": [
{
"is_oa": false,
"landing_page_url": "https://doi.org/10.4133/1.2923583",
"pdf_url": null,
"source": {
"id": "https://openalex.org/S4363605792",
"display_name": "Symposium on the Application of Geophysics to Engineering and Environmental Problems 2006",
"issn_l": null,
"issn": null,
"is_oa": false,
"is_in_doaj": false,
"is_core": false,
"host_organization": null,
"host_organization_name": null,
"host_organization_lineage": [],
"host_organization_lineage_names": [],
"type": "conference"
},
"license": null,
"license_id": null,
"version": null,
"is_accepted": false,
"is_published": false
}
],
"locations_count": 1,
"mesh": [],
"ngrams_url": "https://api.openalex.org/works/W4235705152/ngrams",
"open_access": {
"is_oa": false,
"oa_status": "closed",
"oa_url": null,
"any_repository_has_fulltext": false
},
"primary_location": {
"is_oa": false,
"landing_page_url": "https://doi.org/10.4133/1.2923583",
"pdf_url": null,
"source": {
"id": "https://openalex.org/S4363605792",
"display_name": "Symposium on the Application of Geophysics to Engineering and Environmental Problems 2006",
"issn_l": null,
"issn": null,
"is_oa": false,
"is_in_doaj": false,
"is_core": false,
"host_organization": null,
"host_organization_name": null,
"host_organization_lineage": [],
"host_organization_lineage_names": [],
"type": "conference"
},
"license": null,
"license_id": null,
"version": null,
"is_accepted": false,
"is_published": false
},
"primary_topic": {
"id": "https://openalex.org/T13018",
"display_name": "Machine Learning for Earthquake Early Warning Systems",
"score": 0.9608,
"subfield": {
"id": "https://openalex.org/subfields/1702",
"display_name": "Artificial Intelligence"
},
"field": {
"id": "https://openalex.org/fields/17",
"display_name": "Computer Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
"publication_date": "2006-01-01",
"publication_year": 2006,
"referenced_works": [],
"referenced_works_count": 0,
"related_works": [
"https://openalex.org/W4390887692",
"https://openalex.org/W4319837668",
"https://openalex.org/W4319317934",
"https://openalex.org/W4308071650",
"https://openalex.org/W4221065211",
"https://openalex.org/W4210818033",
"https://openalex.org/W3188333020",
"https://openalex.org/W2956374172",
"https://openalex.org/W2901265155",
"https://openalex.org/W1964041166"
],
"sustainable_development_goals": [
{
"score": 0.51,
"id": "https://metadata.un.org/sdg/13",
"display_name": "Climate action"
}
],
"title": "LIDAR & SASW Technologies for Geotechnical Earthquake Engineering",
"topics": [
{
"id": "https://openalex.org/T13018",
"display_name": "Machine Learning for Earthquake Early Warning Systems",
"score": 0.9608,
"subfield": {
"id": "https://openalex.org/subfields/1702",
"display_name": "Artificial Intelligence"
},
"field": {
"id": "https://openalex.org/fields/17",
"display_name": "Computer Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11757",
"display_name": "High-Resolution Seismic Noise Tomography",
"score": 0.9492,
"subfield": {
"id": "https://openalex.org/subfields/1908",
"display_name": "Geophysics"
},
"field": {
"id": "https://openalex.org/fields/19",
"display_name": "Earth and Planetary Sciences"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11609",
"display_name": "Applications of Ground-Penetrating Radar in Geoscience and Engineering",
"score": 0.9098,
"subfield": {
"id": "https://openalex.org/subfields/2212",
"display_name": "Ocean Engineering"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
}
],
"type": "article",
"type_crossref": "proceedings-article",
"updated_date": "2024-08-14T23:05:56.304420",
"versions": []
}
}
