Item talk:Q309938
From geokb
{
"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "sUAS-based remote sensing of river discharge using thermal particle image velocimetry and bathymetric lidar", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70205952", "url": "https://pubs.usgs.gov/publication/70205952" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70205952 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.3390/rs11192317", "url": "https://doi.org/10.3390/rs11192317" } ], "journal": { "@type": "Periodical", "name": "Remote Sensing", "volumeNumber": "11", "issueNumber": "19" }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Remote Sensing" } ], "datePublished": "2019", "dateModified": "2019-10-11", "abstract": "This paper describes a non-contact methodology for computing river discharge based on data collected from small Unmanned Aerial Systems (sUAS). The approach is complete in that both surface velocity and channel geometry are measured directly under field conditions. The technique does not require introducing artificial tracer particles for computing surface velocity, nor does it rely upon the presence of naturally occurring floating material. Moreover, no prior knowledge of river bathymetry is necessary. Due to the weight of the sensors and limited payload capacities of the commercially available sUAS used in the study, two sUAS were required. The first sUAS included mid-wave thermal infrared and visible cameras. For the field evaluation described herein, a thermal image time series was acquired and a particle image velocimetry (PIV) algorithm used to track the motion of structures expressed at the water surface as small differences in temperature. The ability to detect these thermal features was significant because the water surface lacked floating material (e.g., foam, debris) that could have been detected with a visible camera and used to perform conventional Large-Scale Particle Image Velocimetry (LSPIV). The second sUAS was devoted to measuring bathymetry with a novel scanning polarizing lidar. We collected field measurements along two channel transects to assess the accuracy of the remotely sensed velocities, depths, and discharges. Thermal PIV provided velocities that agreed closely (R^2 = 0.82 and 0.64) with in situ velocity measurements from an acoustic Doppler current profiler (ADCP). Depths inferred from the lidar closely matched those surveyed by wading in the shallower of the two cross sections (R^2 = 0.95) but the agreement was not as strong for the transect with greater depths (R^2 = 0.61). Incremental discharges computed with the remotely sensed velocities and depths were greater than corresponding ADCP measurements by 22% at the first cross section and < 1% at the second.", "description": "2317, 19 p.", "publisher": { "@type": "Organization", "name": "MDPI" }, "author": [ { "@type": "Person", "name": "Kinzel, Paul J. pjkinzel@usgs.gov", "givenName": "Paul J.", "familyName": "Kinzel", "email": "pjkinzel@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-6076-9730", "url": "https://orcid.org/0000-0002-6076-9730" }, "affiliation": [ { "@type": "Organization", "name": "WMA - Integrated Modeling and Prediction Division", "url": "https://www.usgs.gov/mission-areas/water-resources" }, { "@type": "Organization", "name": "National Research Program - Western Branch", "url": "https://www.usgs.gov/centers/arizona-water-science-center" }, { "@type": "Organization", "name": "National Research Program - Central Branch", "url": "https://www.usgs.gov/centers/arizona-water-science-center" }, { "@type": "Organization", "name": "Colorado Water Science Center", "url": "https://www.usgs.gov/centers/colorado-water-science-center" } ] }, { "@type": "Person", "name": "Legleiter, Carl J. cjl@usgs.gov", "givenName": "Carl J.", "familyName": "Legleiter", "email": "cjl@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0003-0940-8013", "url": "https://orcid.org/0000-0003-0940-8013" }, "affiliation": [ { "@type": "Organization", "name": "WMA - Integrated Modeling and Prediction Division", "url": "https://www.usgs.gov/mission-areas/water-resources" }, { "@type": "Organization", "name": "National Research Program - Central Branch", "url": "https://www.usgs.gov/centers/arizona-water-science-center" } ] } ], "funder": [ { "@type": "Organization", "name": "WMA - Integrated Modeling and Prediction Division", "url": "https://www.usgs.gov/mission-areas/water-resources" } ], "spatialCoverage": [ { "@type": "Place", "additionalType": "country", "name": "United States", "url": "https://geonames.org/4074035" }, { "@type": "Place", "additionalType": "state", "name": "Colorado" }, { "@type": "Place", "additionalType": "state", "name": "Grand County" }, { "@type": "Place", "additionalType": "unknown", "name": "Blue River", "url": "https://geonames.org/4254707" }, { "@type": "Place", "geo": [ { "@type": "GeoShape", "additionalProperty": { "@type": "PropertyValue", "name": "GeoJSON", "value": { "type": "FeatureCollection", "features": [ { "type": "Feature", "properties": {}, "geometry": { "type": "Polygon", "coordinates": [ [ [ -106.40190124511719, 40.03977220579366 ], [ -106.38670921325682, 40.03977220579366 ], [ -106.38670921325682, 40.04581742420946 ], [ -106.40190124511719, 40.04581742420946 ], [ -106.40190124511719, 40.03977220579366 ] ] ] } } ] } } }, { "@type": "GeoCoordinates", "latitude": 40.042794815001564, "longitude": -106.39430522918703 } ] } ] }, "OpenAlex": { "_id": "https://openalex.org/w2980178816", "abstract_inverted_index": { "This": [ 0 ], "paper": [ 1 ], "describes": [ 2 ], "a": [ 3, 112, 120, 168, 190 ], "non-contact": [ 4 ], "methodology": [ 5 ], "for": [ 6, 47, 272 ], "computing": [ 7, 48 ], "river": [ 8, 68 ], "discharge": [ 9 ], "based": [ 10 ], "on": [ 11 ], "data": [ 12 ], "collected": [ 13, 196 ], "from": [ 14, 234, 243 ], "small": [ 15, 139 ], "Unmanned": [ 16 ], "Aerial": [ 17 ], "Systems": [ 18 ], "(sUAS).": [ 19 ], "The": [ 20, 38, 96, 143, 181 ], "approach": [ 21 ], "is": [ 22, 70 ], "complete": [ 23 ], "in": [ 24, 89, 141, 230, 252 ], "that": [ 25, 162, 219 ], "both": [ 26 ], "surface": [ 27, 49, 137, 155 ], "velocity": [ 28, 232 ], "and": [ 29, 79, 103, 119, 171, 213, 227, 291, 306 ], "channel": [ 30, 201 ], "geometry": [ 31 ], "are": [ 32 ], "measured": [ 33 ], "directly": [ 34 ], "under": [ 35 ], "field": [ 36, 108, 197 ], "conditions.": [ 37 ], "technique": [ 39 ], "does": [ 40, 52 ], "not": [ 41, 269 ], "require": [ 42 ], "introducing": [ 43 ], "artificial": [ 44 ], "tracer": [ 45 ], "particles": [ 46 ], "velocity,": [ 50 ], "nor": [ 51 ], "it": [ 53 ], "rely": [ 54 ], "upon": [ 55 ], "the": [ 56, 74, 77, 84, 90, 107, 129, 135, 153, 205, 208, 244, 253, 256, 266, 273, 287, 302, 309 ], "presence": [ 57 ], "of": [ 58, 67, 76, 83, 131, 207, 255 ], "naturally": [ 59 ], "occurring": [ 60 ], "floating": [ 61, 157 ], "material.": [ 62 ], "Moreover,": [ 63 ], "no": [ 64 ], "prior": [ 65 ], "knowledge": [ 66 ], "bathymetry": [ 69, 188 ], "necessary.": [ 71 ], "Due": [ 72 ], "to": [ 73, 127, 145, 173, 186, 203 ], "weight": [ 75 ], "sensors": [ 78 ], "limited": [ 80 ], "payload": [ 81 ], "capacities": [ 82 ], "commercially": [ 85 ], "available": [ 86 ], "sUAS": [ 87, 93, 98, 183 ], "used": [ 88, 126, 172 ], "study,": [ 91 ], "two": [ 92, 200, 257 ], "were": [ 94, 293 ], "required.": [ 95 ], "first": [ 97, 303 ], "included": [ 99 ], "mid-wave": [ 100 ], "thermal": [ 101, 113, 148 ], "infrared": [ 102 ], "visible": [ 104, 169 ], "cameras.": [ 105 ], "For": [ 106 ], "evaluation": [ 109 ], "described": [ 110 ], "herein,": [ 111 ], "image": [ 114, 122 ], "time": [ 115 ], "series": [ 116 ], "was": [ 117, 150, 184, 268 ], "acquired": [ 118 ], "particle": [ 121 ], "velocimetry": [ 123 ], "(PIV)": [ 124 ], "algorithm": [ 125 ], "track": [ 128 ], "motion": [ 130 ], "structures": [ 132 ], "expressed": [ 133 ], "at": [ 134, 301, 308 ], "water": [ 136, 154 ], "as": [ 138, 270 ], "differences": [ 140 ], "temperature.": [ 142 ], "ability": [ 144 ], "detect": [ 146 ], "these": [ 147 ], "features": [ 149 ], "significant": [ 151 ], "because": [ 152 ], "lacked": [ 156 ], "material": [ 158 ], "(e.g.,": [ 159 ], "foam,": [ 160 ], "debris)": [ 161 ], "could": [ 163 ], "have": [ 164 ], "been": [ 165 ], "detected": [ 166 ], "with": [ 167, 189, 229, 275, 286 ], "camera": [ 170 ], "perform": [ 174 ], "conventional": [ 175 ], "Large-Scale": [ 176 ], "Particle": [ 177 ], "Image": [ 178 ], "Velocimetry": [ 179 ], "(LSPIV).": [ 180 ], "second": [ 182 ], "devoted": [ 185 ], "measuring": [ 187 ], "novel": [ 191 ], "scanning": [ 192 ], "polarizing": [ 193 ], "lidar.": [ 194 ], "We": [ 195 ], "measurements": [ 198, 233, 298 ], "along": [ 199 ], "transects": [ 202 ], "assess": [ 204 ], "accuracy": [ 206 ], "remotely": [ 209, 288 ], "sensed": [ 210, 289 ], "velocities,": [ 211 ], "depths,": [ 212 ], "discharges.": [ 214 ], "Thermal": [ 215 ], "PIV": [ 216 ], "provided": [ 217 ], "velocities": [ 218, 290 ], "agreed": [ 220 ], "closely": [ 221, 246 ], "(": [ 222, 260, 278 ], "R": [ 223, 261, 279 ], "2": [ 224, 262, 280 ], "=": [ 225, 263, 281 ], "0.82": [ 226 ], "0.64)": [ 228 ], "situ": [ 231 ], "an": [ 235 ], "acoustic": [ 236 ], "Doppler": [ 237 ], "current": [ 238 ], "profiler": [ 239 ], "(ADCP).": [ 240 ], "Depths": [ 241 ], "inferred": [ 242 ], "lidar": [ 245 ], "matched": [ 247 ], "those": [ 248 ], "surveyed": [ 249 ], "by": [ 250, 299 ], "wading": [ 251 ], "shallower": [ 254 ], "cross": [ 258, 304 ], "sections": [ 259 ], "0.95),": [ 264 ], "but": [ 265 ], "agreement": [ 267 ], "strong": [ 271 ], "transect": [ 274 ], "greater": [ 276, 294 ], "depths": [ 277, 292 ], "0.61).": [ 282 ], "Incremental": [ 283 ], "discharges": [ 284 ], "computed": [ 285 ], "than": [ 295 ], "corresponding": [ 296 ], "ADCP": [ 297 ], "22%": [ 300 ], "section": [ 305 ], "<1%": [ 307 ], "second.": [ 310 ] }, "apc_list": { "value": 2500, "currency": "CHF", "value_usd": 2707, "provenance": "doaj" }, "apc_paid": { "value": 2500, "currency": "CHF", "value_usd": 2707, "provenance": "doaj" }, "authorships": [ { "author_position": "first", "author": { "id": "https://openalex.org/A5017375447", "display_name": "Paul J. Kinzel", "orcid": "https://orcid.org/0000-0002-6076-9730" }, "institutions": [ { "id": "https://openalex.org/I1286329397", "display_name": "United States Geological Survey", "ror": "https://ror.org/035a68863", "country_code": "US", "type": "government", "lineage": [ "https://openalex.org/I1286329397", "https://openalex.org/I1335927249" ] } ], "countries": [ "US" ], "is_corresponding": true, "raw_author_name": "Paul Kinzel", "raw_affiliation_strings": [ "U.S. Geological Survey, Integrated Modeling and Prediction Division, Golden, CO 80403, USA" ], "affiliations": [ { "raw_affiliation_string": "U.S. Geological Survey, Integrated Modeling and Prediction Division, Golden, CO 80403, USA", "institution_ids": [ "https://openalex.org/I1286329397" ] } ] }, { "author_position": "last", "author": { "id": "https://openalex.org/A5017833403", "display_name": "Carl J. Legleiter", "orcid": "https://orcid.org/0000-0003-0940-8013" }, "institutions": [ { "id": "https://openalex.org/I12834331", "display_name": "University of Wyoming", "ror": "https://ror.org/01485tq96", "country_code": "US", "type": "education", "lineage": [ "https://openalex.org/I12834331" ] }, { "id": "https://openalex.org/I1286329397", "display_name": "United States Geological Survey", "ror": "https://ror.org/035a68863", "country_code": "US", "type": "government", "lineage": [ "https://openalex.org/I1286329397", "https://openalex.org/I1335927249" ] } ], "countries": [ "US" ], "is_corresponding": false, "raw_author_name": "Carl Legleiter", "raw_affiliation_strings": [ "Department of Geography, University of Wyoming, Laramie, WY 82071, USA", "U.S. Geological Survey, Integrated Modeling and Prediction Division, Golden, CO 80403, USA" ], "affiliations": [ { "raw_affiliation_string": "Department of Geography, University of Wyoming, Laramie, WY 82071, USA", "institution_ids": [ "https://openalex.org/I12834331" ] }, { "raw_affiliation_string": "U.S. Geological Survey, Integrated Modeling and Prediction Division, Golden, CO 80403, USA", "institution_ids": [ "https://openalex.org/I1286329397" ] } ] } ], "best_oa_location": { "is_oa": true, "landing_page_url": "https://doi.org/10.3390/rs11192317", "pdf_url": "https://www.mdpi.com/2072-4292/11/19/2317/pdf?version=1570696667", "source": { "id": "https://openalex.org/S43295729", "display_name": "Remote Sensing", "issn_l": "2072-4292", "issn": [ "2072-4292" ], "is_oa": true, "is_in_doaj": true, "is_core": true, "host_organization": "https://openalex.org/P4310310987", "host_organization_name": "Multidisciplinary Digital Publishing Institute", "host_organization_lineage": [ "https://openalex.org/P4310310987" ], "host_organization_lineage_names": [ "Multidisciplinary Digital Publishing Institute" ], "type": "journal" }, "license": "cc-by", "license_id": "https://openalex.org/licenses/cc-by", "version": "publishedVersion", "is_accepted": true, "is_published": true }, "biblio": { "volume": "11", "issue": "19", "first_page": "2317", "last_page": "2317" }, "citation_normalized_percentile": { "value": 0.825753, "is_in_top_1_percent": false, "is_in_top_10_percent": false }, "cited_by_api_url": "https://api.openalex.org/works?filter=cites:W2980178816", "cited_by_count": 45, "cited_by_percentile_year": { "min": 96, "max": 97 }, "concepts": [ { "id": "https://openalex.org/C174943157", "wikidata": "https://www.wikidata.org/wiki/Q810826", "display_name": "Bathymetry", "level": 2, "score": 0.86434865 }, { "id": "https://openalex.org/C207857233", "wikidata": "https://www.wikidata.org/wiki/Q1756248", "display_name": "Particle image velocimetry", "level": 3, "score": 0.74493766 }, { "id": "https://openalex.org/C62649853", "wikidata": "https://www.wikidata.org/wiki/Q199687", "display_name": "Remote sensing", "level": 1, "score": 0.7026881 }, { "id": "https://openalex.org/C127313418", "wikidata": "https://www.wikidata.org/wiki/Q1069", "display_name": "Geology", "level": 0, "score": 0.55618393 }, { "id": "https://openalex.org/C144836735", "wikidata": "https://www.wikidata.org/wiki/Q7919269", "display_name": "Velocimetry", "level": 2, "score": 0.5367526 }, { "id": "https://openalex.org/C51399673", "wikidata": "https://www.wikidata.org/wiki/Q504027", "display_name": "Lidar", "level": 2, "score": 0.525477 }, { "id": "https://openalex.org/C204530211", "wikidata": "https://www.wikidata.org/wiki/Q752823", "display_name": "Thermal", "level": 2, "score": 0.49353588 }, { "id": "https://openalex.org/C127162648", "wikidata": "https://www.wikidata.org/wiki/Q16858953", "display_name": "Channel (broadcasting)", "level": 2, "score": 0.45033365 }, { "id": "https://openalex.org/C153294291", "wikidata": "https://www.wikidata.org/wiki/Q25261", "display_name": "Meteorology", "level": 1, "score": 0.2720274 }, { "id": "https://openalex.org/C120665830", "wikidata": "https://www.wikidata.org/wiki/Q14620", "display_name": "Optics", "level": 1, "score": 0.22274423 }, { "id": "https://openalex.org/C205649164", "wikidata": "https://www.wikidata.org/wiki/Q1071", "display_name": "Geography", "level": 0, "score": 0.11201194 }, { "id": "https://openalex.org/C121332964", "wikidata": "https://www.wikidata.org/wiki/Q413", "display_name": "Physics", "level": 0, "score": 0.10894409 }, { "id": "https://openalex.org/C41008148", "wikidata": "https://www.wikidata.org/wiki/Q21198", "display_name": "Computer science", "level": 0, "score": 0.08399597 }, { "id": "https://openalex.org/C111368507", "wikidata": "https://www.wikidata.org/wiki/Q43518", "display_name": "Oceanography", "level": 1, "score": 0.08059898 }, { "id": "https://openalex.org/C196558001", "wikidata": "https://www.wikidata.org/wiki/Q190132", "display_name": "Turbulence", "level": 2, "score": 0.07983026 }, { "id": "https://openalex.org/C31258907", "wikidata": "https://www.wikidata.org/wiki/Q1301371", "display_name": "Computer network", "level": 1, "score": 0.0 } ], "corresponding_author_ids": [ "https://openalex.org/A5017375447" ], "corresponding_institution_ids": [ "https://openalex.org/I1286329397" ], "countries_distinct_count": 1, "counts_by_year": [ { "year": 2024, "cited_by_count": 3 }, { "year": 2023, "cited_by_count": 9 }, { "year": 2022, "cited_by_count": 6 }, { "year": 2021, "cited_by_count": 15 }, { "year": 2020, "cited_by_count": 11 } ], "created_date": "2019-10-18", "datasets": [], "display_name": "sUAS-Based Remote Sensing of River Discharge Using Thermal Particle Image Velocimetry and Bathymetric Lidar", "doi": "https://doi.org/10.3390/rs11192317", "fwci": 4.388, "grants": [], "has_fulltext": false, "id": "https://openalex.org/W2980178816", "ids": { "openalex": "https://openalex.org/W2980178816", "doi": "https://doi.org/10.3390/rs11192317", "mag": "2980178816" }, "indexed_in": [ "crossref" ], "institutions_distinct_count": 2, "is_paratext": false, "is_retracted": false, "keywords": [ { "id": "https://openalex.org/keywords/velocimetry", "display_name": "Velocimetry", "score": 0.5367526 }, { "id": "https://openalex.org/keywords/lidar-remote-sensing", "display_name": "Lidar Remote Sensing", "score": 0.525128 } ], "language": "en", "locations": [ { "is_oa": true, "landing_page_url": "https://doi.org/10.3390/rs11192317", "pdf_url": "https://www.mdpi.com/2072-4292/11/19/2317/pdf?version=1570696667", "source": { "id": "https://openalex.org/S43295729", "display_name": "Remote Sensing", "issn_l": "2072-4292", "issn": [ "2072-4292" ], "is_oa": true, "is_in_doaj": true, "is_core": true, "host_organization": "https://openalex.org/P4310310987", "host_organization_name": "Multidisciplinary Digital Publishing Institute", "host_organization_lineage": [ "https://openalex.org/P4310310987" ], "host_organization_lineage_names": [ "Multidisciplinary Digital Publishing Institute" ], "type": "journal" }, "license": "cc-by", "license_id": "https://openalex.org/licenses/cc-by", "version": "publishedVersion", "is_accepted": true, "is_published": true } ], "locations_count": 1, "mesh": [], "ngrams_url": "https://api.openalex.org/works/W2980178816/ngrams", "open_access": { "is_oa": true, "oa_status": "gold", "oa_url": "https://www.mdpi.com/2072-4292/11/19/2317/pdf?version=1570696667", "any_repository_has_fulltext": false }, "primary_location": { "is_oa": true, "landing_page_url": "https://doi.org/10.3390/rs11192317", "pdf_url": "https://www.mdpi.com/2072-4292/11/19/2317/pdf?version=1570696667", "source": { "id": "https://openalex.org/S43295729", "display_name": "Remote Sensing", "issn_l": "2072-4292", "issn": [ "2072-4292" ], "is_oa": true, "is_in_doaj": true, "is_core": true, "host_organization": "https://openalex.org/P4310310987", "host_organization_name": "Multidisciplinary Digital Publishing Institute", "host_organization_lineage": [ "https://openalex.org/P4310310987" ], "host_organization_lineage_names": [ "Multidisciplinary Digital Publishing Institute" ], "type": "journal" }, "license": "cc-by", "license_id": "https://openalex.org/licenses/cc-by", "version": "publishedVersion", "is_accepted": true, "is_published": true }, "primary_topic": { "id": "https://openalex.org/T10577", "display_name": "Ecological Dynamics of Riverine Landscapes", "score": 0.9992, "subfield": { "id": "https://openalex.org/subfields/2303", "display_name": "Ecology" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, "publication_date": "2019-10-05", "publication_year": 2019, "referenced_works": [ "https://openalex.org/W1504073505", "https://openalex.org/W1522592611", "https://openalex.org/W1580023248", "https://openalex.org/W1937979409", "https://openalex.org/W1952678089", "https://openalex.org/W1996337842", "https://openalex.org/W1999571604", "https://openalex.org/W1999621311", "https://openalex.org/W2004157864", "https://openalex.org/W2008797894", "https://openalex.org/W2023081429", "https://openalex.org/W2063453643", "https://openalex.org/W2068990297", "https://openalex.org/W2070996984", "https://openalex.org/W2072771198", "https://openalex.org/W2095173138", "https://openalex.org/W2116939143", "https://openalex.org/W2120056500", "https://openalex.org/W2131073508", "https://openalex.org/W2137400896", "https://openalex.org/W2138221697", "https://openalex.org/W2138236578", "https://openalex.org/W2139724120", "https://openalex.org/W2140748194", "https://openalex.org/W2145369813", "https://openalex.org/W2164570188", "https://openalex.org/W2211491499", "https://openalex.org/W2255050781", "https://openalex.org/W2257581365", "https://openalex.org/W2331946696", "https://openalex.org/W2343349028", "https://openalex.org/W2416436346", "https://openalex.org/W2505185616", "https://openalex.org/W2528564228", "https://openalex.org/W2529628027", "https://openalex.org/W2751568136", "https://openalex.org/W2782113794", "https://openalex.org/W2795439660", "https://openalex.org/W2796112747", "https://openalex.org/W2885127840", "https://openalex.org/W2904718222", "https://openalex.org/W2913678469", "https://openalex.org/W2913752018", "https://openalex.org/W2931800613", "https://openalex.org/W4229678607", "https://openalex.org/W4236487086", "https://openalex.org/W4246601988" ], "referenced_works_count": 47, "related_works": [ "https://openalex.org/W4200299497", "https://openalex.org/W3097535281", "https://openalex.org/W2999271209", "https://openalex.org/W2897155784", "https://openalex.org/W2511269932", "https://openalex.org/W2326809566", "https://openalex.org/W2325692332", "https://openalex.org/W2192110567", "https://openalex.org/W2142838535", "https://openalex.org/W2013915751" ], "sustainable_development_goals": [ { "id": "https://metadata.un.org/sdg/6", "score": 0.51, "display_name": "Clean water and sanitation" } ], "title": "sUAS-Based Remote Sensing of River Discharge Using Thermal Particle Image Velocimetry and Bathymetric Lidar", "topics": [ { "id": "https://openalex.org/T10577", "display_name": "Ecological Dynamics of Riverine Landscapes", "score": 0.9992, "subfield": { "id": "https://openalex.org/subfields/2303", "display_name": "Ecology" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T11164", "display_name": "Mapping Forests with Lidar Remote Sensing", "score": 0.997, "subfield": { "id": "https://openalex.org/subfields/2305", "display_name": "Environmental Engineering" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10302", "display_name": "Importance and Conservation of Freshwater Biodiversity", "score": 0.9881, "subfield": { "id": "https://openalex.org/subfields/2309", "display_name": "Nature and Landscape Conservation" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } } ], "type": "article", "type_crossref": "journal-article", "updated_date": "2024-08-13T11:53:05.652553", "versions": [] }
}