21:, the Natural Resources Conservation Service, the US Army Corps of Engineers, and the National Park Service. The inventory displays high-accuracy topographic and bathymetric data for the US, and it is intended to be a comprehensive, nationwide listing of known high-accuracy topographic data, including
85:
While there is consensus at a federal level supporting the creation of a
National LIDAR Dataset, key aspects remain unresolved, including funding, data specifications, and the delineation of agency roles and responsibilities. While these issues are pending, the following states are among those moving
16:
Currently, the best source for nationwide LiDAR availability from public sources is the United States
Interagency Elevation Inventory (USIEI). The USIEI is a collaborative effort of NOAA and the U.S. Geological Survey, with contributions from the
53:
The USGS website remains a central source for information about the national initiative, and it includes presentation materials from the various meetings about the subject. This site also discusses how the USGS incorporates
1371:
36:. The first meeting, a National LIDAR Initiative Strategy Meeting, was held at USGS headquarters in Reston, Virginia in February 2007. In May 2008 a second meeting was held, co-sponsored by USGS,
1337:
549:
Regardless of the degree of state coordination, some counties choose to handle (and control) high-resolution LiDAR acquisition and distribution on their own. Such counties include:
45:
75:
1010:
872:
25:. The inventory is updated semi-annually. Note, however, that getting access to the data is often less than straightforward in the current implementation.
1326:
528:
274:
126:
63:
79:
1218:
868:
580:
67:
18:
882:
708:
588:
412:
178:
1060:
828:
772:
752:
748:
744:
740:
736:
732:
728:
724:
720:
716:
704:
692:
688:
684:
680:
676:
592:
1204:
1176:
614:
650:
234:
29:
41:
62:. In addition to USGS and NASA, numerous government agencies have indicated their interest in such a project, including
258:
940:
858:
854:
850:
238:
71:
59:
1276:
790:
924:
326:
1341:
1236:
570:
33:
1034:
1018:
1002:
994:
761:
700:
968:
1214:
1064:
980:
976:
972:
964:
956:
944:
936:
932:
928:
1134:
386:
204:
1152:
313:
814:
584:
1200:
952:
654:
1280:
984:
757:
696:
139:
1126:
1284:
1022:
399:
300:
1196:
1148:
1116:
1112:
1104:
1100:
1096:
1092:
1088:
1084:
914:
910:
906:
898:
894:
890:
886:
804:
666:
662:
658:
646:
642:
638:
630:
626:
622:
618:
610:
602:
1228:
1130:
122:
1376:
1074:
191:
1365:
960:
800:
1254:
948:
490:
438:
32:(USGS) was the lead agency coordinating efforts across multiple agencies towards a
1026:
451:
1042:
712:
541:
464:
270:
230:
1262:
1258:
1138:
566:
217:
1272:
1244:
1240:
1030:
1014:
998:
840:
836:
832:
824:
1050:
1046:
1038:
152:
1006:
266:
1162:
902:
49:
1232:
425:
1306:
1192:
1184:
1180:
515:
634:
288:
1108:
782:
1166:
606:
165:
502:
55:
22:
786:
477:
339:
109:
37:
343:
356:
373:
1325:
Jason Stoker; David
Harding; Jay Parrish (September 2008).
1188:
360:
1245:
See Puget Sound LIDAR Consortium for additional counties
251:
452:
Elevation – Lidar - Texas
Geographic Information Office
1338:
American
Society for Photogrammetry and Remote Sensing
46:
American
Society for Photogrammetry and Remote Sensing
1372:
Geographic data and information in the United States
153:
LiDAR and
Digital Elevation Data - Florida Disaster
491:Virginia GIS Clearinghouse Apps & Maps - VGIN
179:Illinois Height Modernization (ILHMP): LiDAR Data
86:forward with their own statewide LIDAR datasets:
1334:Photogrammetric Engineering & Remote Sensing
1307:"United States Interagency Elevation Inventory"
8:
1320:
1318:
1316:
551:
44:. In 2009, several sessions at the annual
88:
48:meeting were devoted to this initiative.
42:Association of American State Geologists
1327:"The Need for a National Lidar Dataset"
1298:
64:National Geospatial-Intelligence Agency
7:
516:WV Elevation and LIDAR Download Tool
287:Available for purchase from MassGIS
68:Federal Emergency Management Agency
28:History: In the United States, the
19:Federal Emergency Management Agency
14:
374:ND LIDAR Dissemination Mapservice
205:IA GeoTree Lidar Mapping Project
140:Delaware Spatial Data Framework
30:United States Geological Survey
542:Wyoming Statewide LIDAR Effort
387:Ohio Statewide Imagery Program
1:
110:Alaska DGGS Elevation Portal
284:Partial - Boston area only
192:Indiana Spatial Data Portal
1393:
72:US Army Corps of Engineers
60:National Elevation Dataset
503:Washington Lidar Portal
400:Oregon Lidar Consortium
357:NC Floodmapping Program
166:Idaho LiDAR Consortium
34:National LIDAR Dataset
361:NCDOT Elevation Data
426:SC Lidar Consortium
413:PAMAP Program LiDAR
314:GRANIT/Coastal data
119:Complete (med-res)
340:NYS Lidar Coverage
1290:
1289:
547:
546:
465:UT Lidar datasets
1384:
1356:
1355:
1353:
1352:
1346:
1340:. Archived from
1331:
1322:
1311:
1310:
1303:
552:
125:; see also this
123:CT Lidar 10' DEM
89:
1392:
1391:
1387:
1386:
1385:
1383:
1382:
1381:
1362:
1361:
1360:
1359:
1350:
1348:
1344:
1329:
1324:
1323:
1314:
1305:
1304:
1300:
1295:
1065:Pearl River GIS
529:WI: 14 counties
419:South Carolina
359:
350:North Carolina
327:NJ Lidar Status
301:MN Lidar Status
252:Louisiana Atlas
218:Kansas GIS/DASC
95:Dataset Status
12:
11:
5:
1390:
1388:
1380:
1379:
1374:
1364:
1363:
1358:
1357:
1312:
1297:
1296:
1294:
1291:
1288:
1287:
1270:
1266:
1265:
1252:
1251:West Virginia
1248:
1247:
1226:
1222:
1221:
1212:
1208:
1207:
1174:
1170:
1169:
1160:
1156:
1155:
1146:
1142:
1141:
1124:
1120:
1119:
1082:
1078:
1077:
1072:
1068:
1067:
1058:
1054:
1053:
992:
988:
987:
922:
918:
917:
880:
876:
875:
866:
862:
861:
848:
844:
843:
822:
818:
817:
812:
808:
807:
798:
794:
793:
780:
776:
775:
770:
766:
765:
674:
670:
669:
600:
596:
595:
578:
574:
573:
564:
560:
559:
556:
545:
544:
539:
536:
532:
531:
526:
523:
519:
518:
513:
510:
509:West Virginia
506:
505:
500:
498:
494:
493:
488:
485:
481:
480:
475:
472:
468:
467:
462:
459:
455:
454:
449:
446:
442:
441:
436:
433:
429:
428:
423:
420:
416:
415:
410:
407:
403:
402:
397:
394:
390:
389:
384:
381:
377:
376:
371:
368:
364:
363:
354:
351:
347:
346:
337:
334:
330:
329:
324:
321:
317:
316:
311:
308:
307:New Hampshire
304:
303:
298:
295:
291:
290:
285:
282:
281:Massachusetts
278:
277:
264:
261:
255:
254:
249:
246:
242:
241:
228:
225:
221:
220:
215:
212:
208:
207:
202:
199:
195:
194:
189:
186:
182:
181:
176:
173:
169:
168:
163:
160:
156:
155:
150:
147:
143:
142:
137:
134:
130:
129:
120:
117:
113:
112:
107:
104:
100:
99:
96:
93:
58:data into the
13:
10:
9:
6:
4:
3:
2:
1389:
1378:
1375:
1373:
1370:
1369:
1367:
1347:on 2010-09-23
1343:
1339:
1335:
1328:
1321:
1319:
1317:
1313:
1308:
1302:
1299:
1292:
1286:
1282:
1278:
1274:
1271:
1268:
1267:
1264:
1260:
1256:
1253:
1250:
1249:
1246:
1242:
1238:
1234:
1230:
1227:
1224:
1223:
1220:
1216:
1213:
1210:
1209:
1206:
1202:
1198:
1194:
1190:
1186:
1182:
1178:
1175:
1172:
1171:
1168:
1164:
1161:
1158:
1157:
1154:
1150:
1147:
1144:
1143:
1140:
1136:
1132:
1128:
1125:
1122:
1121:
1118:
1114:
1110:
1106:
1102:
1098:
1094:
1090:
1086:
1083:
1080:
1079:
1076:
1073:
1070:
1069:
1066:
1062:
1059:
1056:
1055:
1052:
1048:
1044:
1040:
1036:
1032:
1028:
1024:
1020:
1016:
1012:
1008:
1004:
1000:
996:
993:
990:
989:
986:
982:
978:
974:
970:
966:
962:
958:
954:
950:
946:
942:
938:
934:
930:
926:
923:
920:
919:
916:
912:
908:
904:
900:
896:
892:
888:
884:
881:
878:
877:
874:
870:
867:
864:
863:
860:
856:
852:
849:
846:
845:
842:
838:
834:
830:
826:
823:
820:
819:
816:
813:
810:
809:
806:
802:
799:
796:
795:
792:
788:
784:
781:
778:
777:
774:
771:
768:
767:
764:
763:
759:
754:
750:
746:
742:
738:
734:
730:
726:
722:
718:
714:
710:
706:
702:
698:
694:
690:
686:
682:
678:
675:
672:
671:
668:
664:
660:
656:
652:
648:
644:
640:
636:
632:
628:
624:
620:
616:
612:
608:
604:
601:
598:
597:
594:
590:
586:
582:
579:
576:
575:
572:
568:
565:
562:
561:
557:
554:
553:
550:
543:
540:
537:
534:
533:
530:
527:
524:
521:
520:
517:
514:
511:
508:
507:
504:
501:
499:
496:
495:
492:
489:
486:
483:
482:
479:
476:
473:
470:
469:
466:
463:
460:
457:
456:
453:
450:
447:
444:
443:
440:
437:
434:
431:
430:
427:
424:
421:
418:
417:
414:
411:
408:
406:Pennsylvania
405:
404:
401:
398:
395:
392:
391:
388:
385:
382:
379:
378:
375:
372:
369:
367:North Dakota
366:
365:
362:
358:
355:
352:
349:
348:
345:
341:
338:
335:
332:
331:
328:
325:
322:
319:
318:
315:
312:
309:
306:
305:
302:
299:
296:
293:
292:
289:
286:
283:
280:
279:
276:
272:
268:
265:
262:
260:
257:
256:
253:
250:
247:
244:
243:
240:
236:
232:
229:
226:
223:
222:
219:
216:
213:
210:
209:
206:
203:
200:
197:
196:
193:
190:
187:
184:
183:
180:
177:
174:
171:
170:
167:
164:
161:
158:
157:
154:
151:
148:
145:
144:
141:
138:
135:
132:
131:
128:
124:
121:
118:
115:
114:
111:
108:
105:
102:
101:
97:
94:
91:
90:
87:
83:
81:
77:
73:
69:
65:
61:
57:
51:
50:
47:
43:
39:
35:
31:
26:
24:
20:
1349:. Retrieved
1342:the original
1333:
1301:
1057:Mississippi
756:
655:St Johns GIS
627:Indian River
548:
538:In progress
525:In progress
271:MD DNR LiDAR
116:Connecticut
84:
52:
27:
15:
1225:Washington
1081:New Jersey
1061:Pearl River
581:Los Angeles
577:California
497:Washington
320:New Jersey
66:(NGA), the
1366:Categories
1351:2010-02-24
1293:References
1285:Washington
1269:Wisconsin
1219:Chittenden
1205:Williamson
1167:Rutherford
1159:Tennessee
1113:New Castle
1093:Gloucester
1089:Cumberland
1043:St Charles
1027:Montgomery
921:Minnesota
887:Livingston
873:Montgomery
737:Oglethorpe
659:Santa Rosa
571:Washington
522:Wisconsin
432:Tennessee
344:NYS Orthos
294:Minnesota
248:~Complete
245:Louisiana
188:Completed
40:, and the
1277:Milwaukee
1259:Jefferson
1153:Josephine
1123:New York
1105:Middlesex
1097:Hunterdon
1019:Lafayette
991:Missouri
911:Washtenaw
879:Michigan
869:Baltimore
865:Maryland
855:Jefferson
847:Kentucky
833:Jefferson
805:Kosciusko
779:Illinois
651:St. Johns
631:Jefferson
563:Arkansas
484:Virginia
409:Complete
383:Complete
353:Complete
333:New York
297:Complete
224:Kentucky
201:Complete
172:Illinois
136:Complete
133:Delaware
1211:Vermont
1177:Brazoria
1163:Hamilton
1117:Somerset
1085:Cape May
1003:Chariton
937:Freeborn
933:Fillmore
907:St Clair
883:Dickison
801:Delaware
797:Indiana
753:Richmond
741:Paulding
693:Columbia
673:Georgia
643:Okaloosa
615:Escambia
599:Florida
535:Wyoming
512:Partial
487:Partial
474:Partial
471:Vermont
461:Partial
448:Partial
439:GIS Data
435:Partial
422:Partial
396:Partial
370:Partial
336:Partial
323:Partial
310:Partial
263:Partial
259:Maryland
239:5ft DEMs
231:Metadata
227:Partial
214:Partial
185:Indiana
175:Partial
162:Partial
149:Partial
146:Florida
106:Partial
70:(FEMA),
1281:Ozaukee
1263:Wyoming
1193:Kaufman
1181:Collins
1145:Oregon
1139:Ontario
1075:Douglas
1071:Nevada
1015:Jackson
995:Carroll
977:Wabasha
965:Olmsted
949:Hubbard
945:Houston
941:Goodhue
899:Oakland
851:Bullitt
841:Shawnee
837:Johnson
825:Douglas
821:Kansas
769:Hawaii
725:Madison
721:Lincoln
717:Hancock
701:Fayette
677:Baldwin
663:Wakulla
607:Broward
603:Brevard
558:County
393:Oregon
267:MD iMap
211:Kansas
103:Alaska
98:Source
1255:Gilmer
1233:Kitsap
1201:Travis
1197:Nueces
1189:Harris
1185:Denton
1173:Texas
1135:Monroe
1131:Cayuga
1127:Broome
1109:Morris
1035:Saline
1031:Platte
1011:Greene
985:Wright
981:Winona
973:Steele
961:Ramsey
953:McLeod
925:Dakota
903:Ottawa
895:Monroe
891:Macomb
859:Oldham
829:Harvey
787:McLean
749:Putnam
733:Oconee
729:Morgan
709:Fulton
689:Clarke
681:Barrow
667:Walton
647:Putnam
623:Holmes
593:Sonoma
589:Orange
567:Benton
555:State
445:Texas
159:Idaho
92:State
78:, and
1377:Lidar
1345:(PDF)
1330:(PDF)
1241:Mason
1229:Clark
1215:Essex
1051:Taney
1047:Stone
1039:Scott
957:Mower
929:Dodge
915:Wayne
815:Scott
811:Iowa
783:Macon
762:White
713:Glynn
705:Floyd
685:Burke
585:Marin
458:Utah
380:Ohio
342:, or
273:, or
198:Iowa
56:LIDAR
23:lidar
1273:Door
1237:King
1149:Coos
1101:Kent
1023:Linn
1007:Clay
999:Cass
969:Rice
791:Ogle
773:Oahu
758:Tift
745:Polk
697:Cook
639:Leon
619:Gulf
611:Clay
478:VCGI
275:NOAA
237:and
235:Grid
127:news
80:NRCS
76:NOAA
38:NASA
635:Lee
1368::
1336:.
1332:.
1315:^
1283:·
1279:·
1275:·
1261:·
1257:·
1243:·
1239:·
1235:·
1231:·
1217:·
1203:·
1199:·
1195:·
1191:·
1187:·
1183:·
1179:·
1165:·
1151:·
1137:·
1133:·
1129:·
1115:·
1111:·
1107:·
1103:·
1099:·
1095:·
1091:·
1087:·
1063:·
1049:·
1045:·
1041:·
1037:·
1033:·
1029:·
1025:·
1021:·
1017:·
1013:·
1009:·
1005:·
1001:·
997:·
983:·
979:·
975:·
971:·
967:·
963:·
959:·
955:·
951:·
947:·
943:·
939:·
935:·
931:·
927:·
913:·
909:·
905:·
901:·
897:·
893:·
889:·
885:·
871:·
857:·
853:·
839:·
835:·
831:·
827:·
803:·
789:·
785:·
760:·
755:·
751:·
747:·
743:·
739:·
735:·
731:·
727:·
723:·
719:·
715:·
711:·
707:·
703:·
699:·
695:·
691:·
687:·
683:·
679:·
665:·
661:·
657:·
653:·
649:·
645:·
641:·
637:·
633:·
629:·
625:·
621:·
617:·
613:·
609:·
605:·
591:·
587:·
583:·
569:·
269:,
233:,
82:.
74:,
1354:.
1309:.
Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.