|
Dataset |
No. of services ↓ |
Total points processed |
No. of unique users |
1 |
2011 - 2013 Indiana Statewide Lidar |
52,297 |
569,253,453,566 |
6,918 |
2 |
Oregon Department of Geology and Mineral Industries Lidar Program Data |
15,948 |
633,827,499,329 |
4,432 |
3 |
State of Utah Acquired Lidar Data - Wasatch Front |
5,317 |
258,795,006,823 |
1,447 |
4 |
UMD-NASA Carbon Mapping /Sonoma County Vegetation Mapping and Lidar Program |
4,631 |
173,190,482,659 |
1,114 |
5 |
2005 San Diego Urban Region Lidar |
4,333 |
113,437,632,722 |
1,858 |
6 |
B4 Project - Southern San Andreas and San Jacinto Faults |
4,270 |
194,069,110,374 |
831 |
7 |
Wellington, New Zealand 2013-2014 |
4,265 |
211,001,671,868 |
1,327 |
8 |
Lake Tahoe Basin Lidar |
3,983 |
164,922,455,579 |
1,188 |
9 |
EarthScope Southern & Eastern California Lidar Project |
3,732 |
95,648,208,370 |
674 |
10 |
EarthScope Northern California Lidar Project |
3,723 |
122,290,379,294 |
1,318 |
11 |
Auckland North, New Zealand 2016-2018 |
3,576 |
154,147,610,623 |
1,003 |
12 |
Napa Watershed, CA |
2,447 |
67,649,309,380 |
816 |
13 |
World Bank - ImageCat Inc. - RIT Haiti Earthquake Lidar dataset |
2,424 |
102,166,283,180 |
795 |
14 |
Wellington City, New Zealand 2019-2020 |
2,255 |
67,251,197,898 |
728 |
15 |
Auckland, New Zealand 2013 |
2,034 |
59,474,833,721 |
868 |
16 |
Boulder Creek Critical Zone Observatory August 2010 Snow-Off Lidar Survey |
2,012 |
141,773,593,009 |
807 |
17 |
Utah Geological Survey Lidar |
1,840 |
71,542,259,410 |
791 |
18 |
2015-2017 State of Utah Lidar Acquisition |
1,831 |
79,717,775,694 |
797 |
19 |
PG&E Diablo Canyon Power Plant (DCPP): San Simeon, CA Central Coast |
1,829 |
138,716,413,312 |
602 |
20 |
2014 USFS Tahoe National Forest Lidar |
1,814 |
120,128,672,678 |
679 |
21 |
Hawke's Bay, New Zealand 2020-2021 |
1,781 |
71,654,317,352 |
341 |
22 |
Post-Kumamoto Earthquake (16 April 2016) Rupture Lidar Scan |
1,646 |
58,690,071,928 |
772 |
23 |
St. Elis Mountains and Gulf of Alaska |
1,635 |
76,156,194,523 |
808 |
24 |
Yosemite, CA: El Portal, Mariposa Grove, Yosemite Canyon & Tuolumne Meadows |
1,553 |
79,294,463,257 |
805 |
25 |
USBR Upper Columbia River Basin East |
1,552 |
33,161,340,203 |
968 |
26 |
Bay of Plenty, New Zealand 2019-2022 |
1,488 |
51,929,852,980 |
379 |
27 |
EarthScope Intermountain Seismic Belt Lidar Project |
1,486 |
79,820,114,900 |
683 |
28 |
Hawaii Big Island Lidar Survey |
1,464 |
79,736,108,996 |
803 |
29 |
PG&E Diablo Canyon Power Plant (DCPP): Los Osos, CA Central Coast |
1,424 |
71,766,304,122 |
601 |
30 |
2010 Channel Islands Lidar Collection |
1,368 |
115,067,143,086 |
481 |
31 |
Pre-Kumamoto Earthquake (16 April 2016) Rupture Lidar Scan |
1,329 |
51,084,799,370 |
623 |
32 |
Missisquoi Watershed Lidar |
1,292 |
55,398,073,929 |
517 |
33 |
El Mayor-Cucapah Earthquake (4 April 2010) Rupture Lidar Scan |
1,274 |
95,052,106,777 |
274 |
34 |
Kilauea Volcano, HI July 2018 Acquisition |
1,264 |
89,440,919,911 |
576 |
35 |
Lunar Crater Volcanic Field, Central Nevada |
1,125 |
124,122,805,314 |
466 |
36 |
Northern Walker Lane, CA Airborne Lidar Dataset |
1,110 |
28,336,844,787 |
139 |
37 |
Northern San Andreas Fault, CA |
1,039 |
28,320,035,232 |
451 |
38 |
Jemez River Basin Snow-off Lidar Survey |
1,024 |
67,924,408,552 |
425 |
39 |
2013 USFS Tahoe National Forest Lidar |
997 |
46,444,804,341 |
294 |
40 |
Meteor Crater, AZ |
982 |
49,000,556,617 |
627 |
41 |
Luquillo CZO Rio Blanco and Rio Mameyes Lidar Survey 2010-2011 |
982 |
46,749,239,806 |
450 |
42 |
Yosemite National Park, CA: Rockfall Studies |
981 |
52,641,677,168 |
491 |
43 |
Austin, TX, Rapid Response, 2015 |
976 |
47,646,272,437 |
520 |
44 |
Queenstown, Otago, New Zealand 2016 |
953 |
41,525,433,592 |
326 |
45 |
Christchurch and Selwyn, Canterbury, New Zealand 2015 |
951 |
50,127,108,602 |
370 |
46 |
Yosemite Rim Fire lidar 2013 |
938 |
56,608,847,956 |
413 |
47 |
Sunset Crater Volcano National Monument, AZ |
913 |
54,998,424,240 |
590 |
48 |
East Helanshan Fault, northern China |
888 |
39,498,980,597 |
456 |
49 |
Teton Conservation District, Wyoming Lidar |
878 |
50,415,172,927 |
411 |
50 |
Kilauea Volcano, HI June 2018 Acquisition |
836 |
45,908,172,150 |
315 |
51 |
Christchurch, Canterbury, New Zealand 2020-2021 |
829 |
39,881,188,741 |
294 |
52 |
Auckland South, New Zealand 2016-2017 |
828 |
37,816,102,647 |
354 |
53 |
Christchurch and Ashley River, Canterbury, New Zealand 2018-2019 |
813 |
22,349,446,852 |
326 |
54 |
Hamilton, Waikato, New Zealand 2019 |
788 |
35,287,745,391 |
248 |
55 |
NOAA ISEMP - Watershed Sciences - Bridge Creek, Oregon Lidar Survey, 2005 |
767 |
15,057,891,788 |
462 |
56 |
EarthScope Alaska Denali Totschunda Lidar Project |
761 |
40,416,413,848 |
274 |
57 |
Northland, New Zealand 2018-2020 |
755 |
24,555,736,175 |
215 |
58 |
Taranaki, New Zealand 2021 |
750 |
42,233,299,346 |
226 |
59 |
California Coast: Big Creek, Vincente, Arroyo Seco, Scotts Creek, UCSC |
744 |
55,480,369,301 |
377 |
60 |
Otago, New Zealand 2016 |
740 |
26,943,126,365 |
310 |
61 |
Na Pali Coast, Kauai, Hawaii |
738 |
43,164,329,051 |
419 |
62 |
2014-2015 lidar survey of the McMurdo Dry Valleys, Antarctica |
723 |
81,347,740,794 |
275 |
63 |
Marlborough, New Zealand 2020-2022 |
722 |
26,628,042,463 |
201 |
64 |
Gisborne, New Zealand 2018-2020 |
720 |
50,715,262,402 |
237 |
65 |
Bay of Plenty, New Zealand 2018-2019 |
702 |
15,199,714,070 |
285 |
66 |
B4 Project - Southern San Andreas and San Jacinto Faults - Classified Lidar |
701 |
35,441,745,049 |
319 |
67 |
Victor Harbour - South Australia, 2011 |
685 |
30,685,611,486 |
450 |
68 |
Big Sky, MT: Patterns of Nitrogen Export & Land Use Change |
679 |
31,463,340,733 |
291 |
69 |
California ARRA Lidar |
667 |
31,767,522,935 |
362 |
70 |
Jemez River Basin Snow-on Lidar Survey |
659 |
21,172,505,225 |
460 |
71 |
Coastal Catchments, Otago, New Zealand 2021 |
652 |
31,118,784,083 |
168 |
72 |
Chaco Canyon, NM: Simulating Dynamic Hydrological Processes |
649 |
22,855,951,821 |
192 |
73 |
Tauranga and Coast, Bay of Plenty, New Zealand 2015 |
641 |
9,230,454,722 |
278 |
74 |
Hawaii Kauai Survey |
618 |
32,797,167,687 |
357 |
75 |
West Coast, New Zealand 2020-2022 |
611 |
37,342,431,038 |
235 |
76 |
2019 Ridgecrest, CA Post-Earthquake Lidar Collection |
606 |
48,422,060,954 |
188 |
77 |
Golden Bay, Tasman, New Zealand 2017 |
593 |
29,138,430,044 |
280 |
78 |
2010 CU-Boulder Campus and Flatirons |
590 |
18,669,151,619 |
329 |
79 |
Central U.S. ARRA Lidar, New Madrid Seismic Zone |
580 |
63,485,297,556 |
144 |
80 |
Palmerston North, Manawatu-Whanganui, New Zealand 2018 |
567 |
32,146,873,658 |
187 |
81 |
EarthScope Yakima Lidar Project |
551 |
26,109,721,444 |
253 |
82 |
White Sands National Monument, NM: Lidar Survey of Dune Fields |
549 |
23,536,068,170 |
205 |
83 |
Mapping the Kaibab Plateau, AZ |
538 |
32,277,405,411 |
336 |
84 |
Banks Peninsula, Canterbury, New Zealand 2018-2019 |
534 |
26,316,770,993 |
250 |
85 |
Marlborough, New Zealand 2018 |
512 |
36,330,854,508 |
184 |
86 |
Granite Dells, AZ |
511 |
20,944,717,652 |
242 |
87 |
Israel Mediterranean Sharon sea cliff, 2006 |
504 |
2,562,701,879 |
375 |
88 |
2010 Salton Sea Lidar Collection |
499 |
52,882,198,516 |
168 |
89 |
Death Valley National Park, CA: Badwater Basin |
493 |
24,529,994,605 |
292 |
90 |
Tasman, New Zealand 2020-2022 |
492 |
35,897,208,159 |
164 |
91 |
Very High Resolution Airborne Lidar at Strathalbyn in Queensland, Australia |
487 |
24,087,217,899 |
284 |
92 |
West Rainier Seismic Zone, WA |
486 |
20,449,721,481 |
268 |
93 |
Southwest Flank of Mt.Rainier, WA |
486 |
32,457,565,455 |
283 |
94 |
Coastal Dune Fields of Garopaba and Vila Nova, Santa Catarina State, Brazil |
486 |
4,246,137,940 |
358 |
95 |
Manawatu - Whanganui, New Zealand 2015-2016 |
481 |
23,798,487,426 |
201 |
96 |
Lidar Survey of the Black Hills Experimental Forest, South Dakota |
475 |
5,479,396,336 |
288 |
97 |
Trinity River, Texas 2015 |
472 |
23,995,164,640 |
251 |
98 |
August 24, 2014 South Napa Earthquake |
471 |
27,057,468,026 |
222 |
99 |
3D Landscape Reconstruction and Land Use Modeling, Chaco Canyon, NM 2016 |
468 |
27,392,785,375 |
197 |
100 |
Nelson, New Zealand 2021 |
468 |
20,212,889,625 |
170 |
101 |
New Madrid Seismic Zone |
459 |
43,393,607,605 |
175 |
102 |
Canterbury, New Zealand 2018-2019 |
451 |
17,315,003,625 |
256 |
103 |
Queenstown, Otago, New Zealand 2021 |
450 |
15,837,801,308 |
200 |
104 |
Hutt City, Wellington, New Zealand 2021 |
448 |
19,621,004,855 |
163 |
105 |
Richmond and Motueka, Tasman, New Zealand 2015 |
443 |
8,222,419,545 |
150 |
106 |
Canterbury, New Zealand 2016-2017 |
443 |
16,828,313,721 |
229 |
107 |
Whanganui Urban, Manawatu-Whanganui, New Zealand 2020-2021 |
441 |
8,917,936,646 |
120 |
108 |
Survey of Parts of Potomac and Susquehanna Rivers |
427 |
8,323,297,213 |
310 |
109 |
Southern Sierra Nevada Critical Zone Observatory: Snow Off |
420 |
20,826,854,870 |
174 |
110 |
Granite Dells Terrestrial Laser Scanning Dataset |
416 |
1,385,883,317 |
302 |
111 |
South Fork Eel River, CA: Understanding Terrace Formation and Abandonment |
410 |
24,244,210,370 |
137 |
112 |
Canterbury, New Zealand 2020-2022 |
403 |
21,282,706,102 |
161 |
113 |
2008 Iowa River Flood Lidar, Iowa City, and the Clear Creek Watershed |
396 |
14,421,579,842 |
232 |
114 |
Blenheim, Marlborough, New Zealand 2014 |
392 |
6,534,963,510 |
149 |
115 |
Kaikoura, Canterbury, New Zealand 2012 |
390 |
11,702,475,377 |
209 |
116 |
2013 Balochistan earthquake, Pakistan |
385 |
26,671,276,168 |
200 |
117 |
Survey of Sheepscot, Narragaugus and Pleasant Rivers, Maine |
384 |
19,260,574,958 |
187 |
118 |
Eel River Critical Zone Observatory July 2014 Lidar Survey (1064 nm) |
378 |
8,263,562,258 |
90 |
119 |
Idaho Lidar Consortium (ILC): St. Joe National Forest |
375 |
15,879,655,318 |
245 |
120 |
Surprise Valley, CA |
369 |
27,959,179,759 |
199 |
121 |
Airborne Laser Mapping of Yosemite National Park, CA, 2007 |
361 |
5,027,606,616 |
265 |
122 |
Plum Island, MA |
359 |
8,464,014,560 |
230 |
123 |
Kapiti Coast, Wellington, New Zealand 2021 |
353 |
17,084,668,287 |
150 |
124 |
Abel Tasman and Golden Bay, Tasman, New Zealand 2016 |
346 |
11,922,858,118 |
169 |
125 |
2006 INEGI Sierra Cucupah Empirically Corrected Lidar Dataset |
342 |
1,411,300,919 |
203 |
126 |
Jemez River Basin, NM: Post-fire Landscape Response |
333 |
23,429,655,699 |
224 |
127 |
Yosemite, CA: Spatial & Temporal Patterns of Nitrogen Export |
332 |
10,808,981,356 |
128 |
128 |
Thorton, NH: Hydrologic and Topographic Controls on Organic Carbon in Soils |
327 |
18,110,494,175 |
151 |
129 |
Christina River Basin Critical Zone Observatory July 2010 Lidar Survey |
321 |
16,119,830,316 |
182 |
130 |
Poleta Folds, southern Deep Springs Valley, California |
321 |
5,157,625,778 |
231 |
131 |
Southland, New Zealand 2020-2022 |
318 |
27,499,375,247 |
101 |
132 |
Sea Grass Beds, Apalachicola, FL |
317 |
7,908,423,413 |
246 |
133 |
White Sands National Monument, NM: Lidar Survey of Dune Fields (Sept 2009) |
313 |
20,564,184,169 |
189 |
134 |
NEON D17 Pacific Southwest- California |
308 |
11,999,709,569 |
160 |
135 |
Volcanic Tablelands in Bishop, California |
304 |
29,944,406,106 |
125 |
136 |
Golden Gate National Recreation Area and Mt. Tamalpais State Park, CA |
293 |
3,548,502,756 |
208 |
137 |
Raplee Ridge, Utah |
292 |
12,216,416,643 |
176 |
138 |
San Bernardino Mountains, CA 2016 |
289 |
11,362,306,968 |
160 |
139 |
Marlborough Fault System, South Island, New Zealand |
288 |
17,592,585,685 |
149 |
140 |
Grand Junction, CO: Roan Plateau |
284 |
16,543,976,063 |
176 |
141 |
Calhoun Critical Zone Observatory 2016 Leaf Off LiDAR Survey |
281 |
14,360,865,653 |
155 |
142 |
Nantahala NF, NC: Forest Leaf Structure, Terrain and Hydrophysiology |
280 |
15,037,390,747 |
160 |
143 |
South Florida Everglades |
277 |
11,266,806,169 |
185 |
144 |
2016 Solana Beach, CA Bluff Characterization Survey |
275 |
14,358,596,402 |
129 |
145 |
Raleigh Peak, Colorado: May 2010 |
273 |
16,431,569,811 |
158 |
146 |
Straight Cliffs Formation, South-Central Utah, 2016 |
273 |
15,085,454,804 |
176 |
147 |
San Isabel NF, CO: Debris Flow Mechanics and Landscape Evolution |
266 |
14,152,626,214 |
145 |
148 |
USBR Upper Columbia River Basin West |
265 |
12,818,165,266 |
141 |
149 |
Great Smokey Mountains, NC |
262 |
5,407,354,785 |
193 |
150 |
Surface Expression of the 1886 Charleston, South Carolina Earthquake |
261 |
8,676,884,109 |
100 |
151 |
Dunedin and Mosgiel, Otago, New Zealand 2021 |
259 |
6,991,996,803 |
108 |
152 |
Rangiora, Canterbury, New Zealand 2014 |
256 |
9,822,596,991 |
133 |
153 |
Oroville, CA: Middle Fork of the Feather River, Sierra Nevada Foothills |
251 |
12,320,786,276 |
107 |
154 |
Yosemite National Park: Poopenaut Valley and Wawona |
247 |
8,246,536,569 |
150 |
155 |
Truro and Provincetown, MA: Lidar in Salt Marsh Environments |
245 |
7,317,404,354 |
171 |
156 |
Mapping of San Gabriel Mountains, CA 2009 Fire |
245 |
14,461,418,689 |
105 |
157 |
Pellston, MI: Effects of Forest Canopy Structural Change on Carbon Uptake |
242 |
6,660,194,523 |
180 |
158 |
Calhoun Critical Zone Observatory 2014 Leaf On Survey |
242 |
14,586,762,585 |
92 |
159 |
Erosion and sedimentation within the Kern River Canyon, CA |
241 |
23,667,900,267 |
93 |
160 |
Geomorphic Effects of Landslide Dams on the Owyhee River, Oregon |
238 |
27,170,934,303 |
95 |
161 |
Flathead Lake Biological Station, MT (May 2005) |
234 |
8,207,065,969 |
159 |
162 |
Idaho Lidar Consortium (ILC): Lolo Creek and Slate Creek |
233 |
18,044,214,403 |
132 |
163 |
Clearwater NF, ID: Effects of Watershed Restoration on Hillslope Stability |
232 |
14,322,985,556 |
131 |
164 |
Susquehanna Shale Hills Critical Zone Observatory: Leaf On Survey |
232 |
9,727,224,584 |
125 |
165 |
Walker Fault System, Nevada, 2015 |
231 |
20,600,416,493 |
100 |
166 |
Stanley, ID: Linkages Between Hydrologic Complexity and Nutrient Export |
229 |
25,929,706,992 |
133 |
167 |
Wax Lake Delta, Louisiana, USA 2009 |
228 |
11,050,895,340 |
117 |
168 |
San Rafael, UT: Survey of Exposed Subsurface Volcanic Features |
228 |
15,572,044,556 |
127 |
169 |
Medicine Bow NF, WY: Forest Ecosystem Impacts by Mountain Pine Beetle |
228 |
6,023,605,174 |
109 |
170 |
Andrews Experimental Forest and Willamette National Forest Lidar (Aug 2008) |
226 |
7,881,481,853 |
129 |
171 |
Idaho Lidar Consortium (ILC): Moscow Mountain |
226 |
5,288,296,820 |
147 |
172 |
Waikato, New Zealand 2021 |
225 |
6,181,280,819 |
77 |
173 |
North Carolina Coast: Quantifying Patterns of Coastal Change (July 2007) |
225 |
3,485,048,853 |
135 |
174 |
Northern Rockies, Montana lidar 2016 |
223 |
15,453,253,287 |
144 |
175 |
Snake River, Wyoming |
221 |
8,961,819,700 |
162 |
176 |
Big Creek, California |
221 |
5,612,791,940 |
159 |
177 |
Henry Mountains, UT: Hillslope-Channel Coupling in a Bedrock Landscape |
220 |
10,557,833,743 |
138 |
178 |
Silver Plume, CO |
219 |
3,447,433,434 |
168 |
179 |
Carrizo Plain Terrestrial Laser Scanning Dataset |
216 |
16,320,438,013 |
150 |
180 |
Durham, NH: Hyporheic Zone Extent and Exchange in a Coastal Stream |
216 |
7,014,887,977 |
120 |
181 |
San Gabriel Mountains, CA: Tectonics and Topography |
213 |
9,472,909,802 |
122 |
182 |
Ecosystem Structure in Hetereogeneous Restored Wetlands, CA 2018 |
212 |
8,345,888,252 |
61 |
183 |
Canyon Lake Gorge, TX: Mechanics of Megaflood Erosion |
210 |
4,387,636,225 |
172 |
184 |
White Canyon and Hite, Lake Powell, Utah |
209 |
7,050,201,575 |
134 |
185 |
El Mayor-Cucapah Earthquake, Pleiades 2014 |
205 |
18,389,070,098 |
117 |
186 |
Wax Lake Delta, Louisiana, USA 2013 |
204 |
14,930,246,026 |
107 |
187 |
Susquehanna Shale Hills Critical Zone Observatory: Leaf Off Survey |
204 |
10,284,885,809 |
124 |
188 |
Hite, UT: Quantifying Evolution and Stability of Coarse Alluvial Channels |
204 |
16,230,447,905 |
91 |
189 |
Kohala Peninsula, Hawaii: Precipitation Effects on Landscape Evolution |
203 |
9,378,729,585 |
153 |
190 |
Balclutha, Otago, New Zealand 2020 |
200 |
6,137,038,767 |
87 |
191 |
Solfatara Plateau Obsidian Lava Flow, Yellowstone National Park, WY |
199 |
13,890,938,977 |
99 |
192 |
Landers Surface Rupture Terrestrial Laser Scanning Dataset |
199 |
1,151,937,439 |
139 |
193 |
Southern Sierra Nevada Critical Zone Observatory: Snow On |
198 |
9,300,574,608 |
93 |
194 |
Harper Lake Fault Slip Distribution, Central Mojave, CA |
198 |
25,546,319,740 |
74 |
195 |
Tuscaloosa, AL: Seasonal Inundation Dynamics And Invertebrate Communities |
198 |
6,132,383,121 |
106 |
196 |
Lemhi Watershed - US Bureau of Reclamation |
196 |
9,028,852,599 |
79 |
197 |
Triangle Lake, OR: Earthquake Induced Landslide |
195 |
12,511,569,949 |
108 |
198 |
Mapping of Hydrothermal Explosion Craters in Yellowstone N.P., WY 2017 |
193 |
13,867,404,905 |
114 |
199 |
Topographic stress controls, San Bernardino Mountains, CA 2017 |
192 |
6,435,697,324 |
112 |
200 |
Santa Maria River, AZ: Vegetation and channel form |
191 |
10,911,248,424 |
123 |
201 |
Illinois River, OR, Coast Ranges, 2016 |
189 |
9,014,143,752 |
95 |
202 |
Kremmling, CO: Blue and Colorado River Confluence |
188 |
3,668,853,904 |
138 |
203 |
PG&E Diablo Canyon Power Plant (DCPP): Diablo Canyon, CA Central Coast |
188 |
11,738,990,239 |
110 |
204 |
Tender Foot, MT: Hydrological Processes on Hill Slopes |
186 |
7,986,842,941 |
96 |
205 |
Fault systems in the Eastern California Shear Zone, CA |
186 |
7,730,745,943 |
81 |
206 |
Boulder Creek Critical Zone Observatory May 20-21 2010 Snow-On Lidar Survey |
185 |
19,576,467,199 |
86 |
207 |
Topographic Data Set: Klamath River, California 2018 |
185 |
12,458,841,595 |
87 |
208 |
El Mayor-Cucapah Earthquake Rupture Terrestrial Laser Scan-Site 2 |
183 |
2,179,109,932 |
157 |
209 |
Mackenzie, Canterbury, New Zealand 2015 |
181 |
6,335,107,483 |
96 |
210 |
Eel River Critical Zone Observatory July 2014 Lidar Survey (532 nm) |
180 |
12,396,513,090 |
75 |
211 |
Perry Mesa, AZ: Ancient Agricultural Features and Landscape Transformation |
178 |
8,619,513,786 |
113 |
212 |
Mapping of Diamond Fork River, UT 2017 |
178 |
9,384,187,356 |
109 |
213 |
Mojave Desert, CA: Precariously Balanced Rocks in Seismic Hazard Analysis |
177 |
13,701,477,348 |
125 |
214 |
Greybull, WY: Sheep Mountain Anticline |
176 |
14,093,379,909 |
104 |
215 |
Preserving Mountains with Forest Management, CA 2020 |
176 |
11,684,422,906 |
101 |
216 |
Flathead Lake Biological Station, MT (September 2005) |
175 |
7,456,178,533 |
107 |
217 |
USFS Freds Fire Lidar, CA 2015 |
170 |
36,569,709,066 |
20 |
218 |
Slumgullion Landslide, Colorado (July 10, 2015) |
170 |
11,067,765,614 |
111 |
219 |
Reynolds Creek Critical Zone Observatory 2015 Post-Soda Fire Lidar |
169 |
10,436,029,300 |
78 |
220 |
Wheeler Ridge, CA |
169 |
17,614,619,770 |
91 |
221 |
Hurunui Rivers, Canterbury, New Zealand 2013 |
167 |
5,600,447,827 |
98 |
222 |
Southern San Andreas Fault from Painted Canyon to Bombay Beach, CA |
166 |
26,225,359,927 |
60 |
223 |
Dragons Back Ridge: San Andreas Fault, California |
165 |
5,822,812,909 |
93 |
224 |
Sierra National Forest, CA: Soil Formation and Transport |
165 |
2,651,508,289 |
115 |
225 |
Tasman Bay, Tasman, New Zealand 2022 |
160 |
5,046,409,793 |
48 |
226 |
Mojave Desert, CA: Evolution of the Hector Mine Earthquake Surface Rupture |
160 |
8,920,081,254 |
67 |
227 |
Lassen Volcanic National Park, CA 2019 |
160 |
6,099,441,893 |
85 |
228 |
Lidar Survey of the Malheur National Forest, Oregon |
159 |
5,203,123,051 |
112 |
229 |
Slumgullion Landslide, Colorado (July 3, 2015) |
158 |
11,258,021,366 |
85 |
230 |
Top of the South Flood, Nelson and Tasman, New Zealand 2022 |
158 |
3,894,311,983 |
62 |
231 |
High-Resolution Mapping of Goat Rock Volcano, WA |
157 |
6,863,970,257 |
100 |
232 |
Reporoa and Upper Piako River, Waikato, New Zealand 2019 |
157 |
6,865,567,176 |
92 |
233 |
North Sister, OR: Collier Cone Lava Flow |
157 |
6,387,094,719 |
83 |
234 |
Kaikōura, Canterbury, New Zealand 2016 |
156 |
11,152,715,176 |
64 |
235 |
Idaho Lidar Consortium (ILC): South Fork Salmon and Secesh Rivers |
155 |
10,214,250,202 |
82 |
236 |
Thames, Waikato, New Zealand 2017-2019 |
155 |
4,649,282,325 |
81 |
237 |
Furnace Creek Wash, Death Valley National Park, California |
155 |
5,886,204,297 |
110 |
238 |
Idaho Lidar Consortium (ILC): Clear Creek |
153 |
10,186,743,535 |
62 |
239 |
Mapping of Displacements Near Parkfield, California |
152 |
11,469,016,207 |
86 |
240 |
Rapid Response to 2011 Mississippi Flood |
151 |
13,361,600,568 |
71 |
241 |
West Swanzey, NH: Geomorphic Response to Dam Removal, Ashuelot River (2010) |
151 |
3,107,448,570 |
80 |
242 |
West Coast and Hauraki Plains, Waikato, New Zealand 2015 |
151 |
3,681,800,847 |
103 |
243 |
Point Classification for Hazard Applications: Mammoth Lakes, CA |
150 |
7,491,373,400 |
105 |
244 |
Characterizing Forest Structure Changes and Effects on Snowpack, AZ 2017 |
149 |
9,248,844,755 |
88 |
245 |
NW Nevada: Modeling of Meander Channel Evolution |
149 |
5,659,868,226 |
89 |
246 |
High Resolution Topography near Santa Cruz, CA 2017 |
149 |
13,704,066,147 |
70 |
247 |
Christina River Basin Critical Zone Observatory April 2010 Lidar Survey |
148 |
5,117,539,772 |
101 |
248 |
Inyo Domes, CA lidar 2016 |
148 |
8,353,888,202 |
88 |
249 |
Lake Bonneville, Utah |
147 |
5,943,465,823 |
106 |
250 |
Point Reyes, CA: Landscape Response to Tectonics |
147 |
4,725,263,465 |
86 |
251 |
El Mayor-Cucapah Earthquake Rupture Terrestrial Laser Scan-Site 1 |
146 |
4,035,337,179 |
110 |
252 |
Upper Hutt City, Wellington, New Zealand 2021 |
146 |
6,836,514,353 |
68 |
253 |
Yucaipa Ridge, San Bernardino Mountains, CA |
145 |
7,406,538,097 |
86 |
254 |
Ladron Peak, New Mexico Survey |
144 |
6,737,033,834 |
111 |
255 |
Photogrammetric model of the Tecolote Volcano, Sonora, Mexico |
144 |
14,240,251,435 |
93 |
256 |
Salsipuedes-Punta Morro, Baja California, Mexico 2014 |
144 |
1,437,542,869 |
94 |
257 |
Motueka River Valley, Tasman, New Zealand 2018-2019 |
143 |
5,620,196,109 |
58 |
258 |
South Fork Eel River, CA Watershed Morphology |
142 |
5,479,947,942 |
94 |
259 |
Eel River, CA: Landsliding and the Evolution of Mountainous Landscapes |
142 |
8,717,700,506 |
90 |
260 |
White Mountain Fault Zone, Owens Valley, CA |
141 |
10,863,459,083 |
68 |
261 |
West Swanzey, NH: Geomorphic Response to Dam Removal, Ashuelot River(2011) |
139 |
6,340,767,966 |
63 |
262 |
High Resolution Mapping of Antelope Valley Ranch, CA. |
137 |
7,000,915,960 |
68 |
263 |
Lidar Survey of Middle Usumacinta Region, Mexico |
137 |
10,817,106,666 |
71 |
264 |
Huntly, Waikato, New Zealand 2015-2019 |
137 |
5,930,530,910 |
71 |
265 |
Southern California Bedrock Landscapes 2015 Airborne Lidar |
137 |
8,369,286,300 |
76 |
266 |
Geologic Mapping of Coal Beds (Northeastern Montana) |
136 |
10,298,552,369 |
91 |
267 |
Post Hurricane Harvey Mapping of the Mission River, Texas 2018 |
136 |
5,585,660,995 |
72 |
268 |
Distribution and Legacy of Large Landslides, San Gabriel Mountains, CA 2017 |
135 |
5,340,530,162 |
87 |
269 |
Cache NF, UT: Predicting Bonneville Cutthroat Trout Spawning Hotspots |
134 |
7,985,670,123 |
97 |
270 |
Whangarei Heads, Northland, New Zealand 2016 |
134 |
3,469,469,935 |
79 |
271 |
Everglades National Park |
134 |
4,377,704,654 |
106 |
272 |
Apopka, FL: Using Lidar to Identify Optimal Gopher Tortoise habitat |
134 |
3,670,548,137 |
90 |
273 |
Merritt Island, FL: Identification of Florida Scrub-Jay Habitat |
133 |
4,402,947,926 |
96 |
274 |
Hyak, WA: Cedar River Municipal Watershed Snow Modeling |
132 |
7,631,620,992 |
99 |
275 |
Woodland-encroached sagebrush ecosystem, Nevada |
131 |
7,289,098,144 |
92 |
276 |
Kern Canyon Lidar Collection, CA 2008 |
131 |
9,077,099,465 |
84 |
277 |
Lake Placid, FL: Lidar Survey of the Archibold Biological Station |
131 |
4,970,590,422 |
105 |
278 |
Quantifying rock strength controls in Guadalupe Mountains, NM/TX |
130 |
7,515,466,752 |
75 |
279 |
Lincoln National Forest, NM: Floodplains in Fluvial Networks |
129 |
8,196,060,255 |
75 |
280 |
Niwot Ridge Long-Term Ecological Research Site, Colorado |
129 |
4,866,692,256 |
92 |
281 |
White Sands National Monument, NM: Lidar Survey of Dune Fields (Jan 2009) |
129 |
7,010,769,677 |
87 |
282 |
Corpus Cristi, TX: Influence of Dunes & Barrier Islands on Hurricane Surge |
128 |
8,097,030,332 |
88 |
283 |
Laytonville, CA lidar 2015 |
128 |
7,232,973,971 |
85 |
284 |
Eagle Creek Fire Area in the Columbia River Gorge, Oregon |
127 |
3,998,135,238 |
57 |
285 |
Monitoring Woodland Ecosystems, Utah 2018 |
127 |
13,013,550,977 |
75 |
286 |
Yosemite Rim Fire, Smithsonian Forest lidar 2013 |
126 |
4,301,827,484 |
89 |
287 |
Bedrock exposure, canopy density, and runoff generation in the Rampart Range, CO 2018 |
126 |
5,760,661,230 |
82 |
288 |
Wānaka, Otago, New Zealand 2022-2023 |
125 |
1,890,518,576 |
64 |
289 |
Northern California Coast: Slope Failure in Low and High Uplift Regions |
123 |
5,279,964,137 |
73 |
290 |
Lake Isabella Lidar Collection, CA 2015 |
122 |
5,171,191,485 |
76 |
291 |
Santa Clarita Topography |
122 |
5,443,779,970 |
79 |
292 |
Tushar Mountains, Utah (1550 nm) |
122 |
2,845,095,472 |
98 |
293 |
1959 Hebgen Lake rupture (Montana) |
121 |
7,096,814,305 |
77 |
294 |
Idaho Lidar Consortium (ILC): Emerald Creek |
120 |
3,358,148,393 |
83 |
295 |
Illilouette Creek Basin Lidar Survey, Yosemite Valley, CA 2018 |
118 |
4,754,865,354 |
79 |
296 |
Gabilan Mesa, CA: Valley Alluviation effects on Hillslope-Channel Coupling |
117 |
10,811,675,297 |
72 |
297 |
Wellington Fault, NZ 2010 |
116 |
2,108,955,519 |
93 |
298 |
High Resolution Topography along the Lost River Valley, Idaho 2019 |
116 |
7,377,682,137 |
51 |
299 |
John Day Watershed 2006 - US Bureau of Reclamation |
115 |
4,201,332,354 |
62 |
300 |
Yellowstone National Park, WY: Quantifying Gravel-Bed Rivers |
114 |
5,550,196,267 |
84 |
301 |
Hydrologic Effects of Forest Restoration, WA 2021 |
114 |
7,798,735,877 |
58 |
302 |
Powder River, MT 2016 |
108 |
4,918,389,064 |
72 |
303 |
Boise NF, ID: Avalanche Forecasting and Acoustic Detection |
106 |
4,940,245,855 |
68 |
304 |
Bald Point, FL: Hurricane Frequency and Storm Surge Archives from Sinkholes |
106 |
5,302,714,904 |
80 |
305 |
San Rafael River, Castle Dale, Utah, 2016 |
106 |
5,681,911,281 |
69 |
306 |
Furnace Creek and Fish Lake Valley Fault Zones, Death Valley National Park |
106 |
2,907,014,877 |
77 |
307 |
Normal Fault Comparisons, Utah 2019 |
105 |
9,547,049,811 |
41 |
308 |
Slip transfer through the Eastern Transverse Ranges, CA 2017 |
105 |
5,929,974,272 |
69 |
309 |
Idaho Lidar Consortium (ILC): Jack Waite Mine |
105 |
5,092,846,955 |
55 |
310 |
Dixie Valley Fault Rupture Terrestrial Laser Scanning Dataset-Site 1 |
104 |
995,175,598 |
93 |
311 |
Timaru Rivers, Canterbury, New Zealand 2014 |
104 |
4,863,520,000 |
75 |
312 |
Lost River Fault at Doublespring Pass Rd, Idaho 2015 |
102 |
7,201,140,810 |
70 |
313 |
Oregon Coast Range: Sediment Storage in Debris-Flows |
100 |
3,559,386,128 |
51 |
314 |
West Bijou Creek, CO |
100 |
2,616,283,440 |
73 |
315 |
Agua Blanca Fault, Baja California, Mexico. |
98 |
2,095,536,999 |
59 |
316 |
Mount Shasta, CA: Quaternary Debris Avalanche |
98 |
4,930,315,949 |
73 |
317 |
SW Montana: Beavers as Geomorphic Agents in Small, Rocky Mountain Streams |
98 |
3,740,090,925 |
63 |
318 |
Fault geometry on the Mission Creek-Mill Creek faults, CA 2017 |
97 |
5,191,051,563 |
54 |
319 |
Rio Puerco River, NM: Study of overbank flood dynamics |
96 |
4,429,410,239 |
60 |
320 |
Blind Canyon and Box Canyon, Twin Falls, ID |
96 |
1,205,851,448 |
77 |
321 |
Lidar Survey of Dump Creek, ID 2019 |
96 |
3,304,526,658 |
63 |
322 |
Idaho Lidar Consortium (ILC): Nez Perce Reservation |
95 |
2,112,510,938 |
59 |
323 |
2008 LVIS Sierra Nevada, CA |
95 |
113,915,102 |
50 |
324 |
North Carolina Coast: Quantifying Patterns of Coastal Change (June 2006) |
95 |
1,910,649,028 |
56 |
325 |
Hope Fault, NZ 2010 |
94 |
2,926,848,607 |
61 |
326 |
Bishop, CA: Morphological characteristics of the Bishop Tuff |
94 |
6,208,908,408 |
52 |
327 |
Post-fire Debris Flows in Santa Monica Mountains, CA 2019 |
93 |
3,968,120,933 |
63 |
328 |
Survey of 1920 Haiyuan Earthquake Rupture, China 2013-2017 |
92 |
4,876,437,317 |
51 |
329 |
Columbia, NC: Modeling Coastal Plain Wetland Ecosystems |
91 |
4,555,841,278 |
58 |
330 |
Paleo-Outburst Floods in the Truckee River Canyon, CA |
90 |
2,398,865,980 |
58 |
331 |
Boulder Creek Critical Zone Observatory May 5 2010 Snow-On Lidar Survey |
90 |
4,692,400,599 |
49 |
332 |
Niobrara River, Nebraska |
90 |
3,231,794,197 |
71 |
333 |
Control of steepland landscape morphology in Idaho Batholith |
88 |
1,854,282,519 |
41 |
334 |
USFS Power Fire Lidar, CA 2015 |
88 |
19,400,917,332 |
7 |
335 |
Little San Bernardino Mountains, Joshua Tree National Park, California |
88 |
5,781,752,327 |
61 |
336 |
Loma Mar, CA: Lidar survey of the San Jose Mountains |
87 |
1,342,652,246 |
52 |
337 |
2019 Ridgecrest, CA: Trona-Argus Area - Post-Earthquake Lidar |
85 |
2,784,268,005 |
38 |
338 |
Alteration of Groundwater Flow due to Slow Landslide Failure, CA |
82 |
5,168,722,141 |
49 |
339 |
USFS Sims Fire Lidar, CA 2012 |
78 |
2,951,682,652 |
25 |
340 |
Mapleton, OR: Transient Landscape Evolution in the Oregon Coast Range |
78 |
3,150,094,877 |
42 |
341 |
Measuring Variations in Bedrock Cliff Morphologies, Idaho 2019 |
78 |
2,785,841,946 |
59 |
342 |
Central Utah: Topographic Amplification of Earthquake Ground Motions |
78 |
3,924,731,213 |
51 |
343 |
USFS San Gabriel Mountain Lidar, CA 2009 |
77 |
2,871,663,951 |
39 |
344 |
IML Critical Zone Observatory, Clear Creek Aug 2014 Lidar Survey (1064 nm) |
74 |
1,973,992,905 |
39 |
345 |
Greys River, WY (1550 nm) |
73 |
2,758,818,264 |
53 |
346 |
IML Critical Zone Observatory, Sangamon River, IL Aug 2014 (1064 nm) |
73 |
3,634,976,690 |
43 |
347 |
Airborne Laser Mapping of Independence Lake, CA |
73 |
2,171,455,188 |
56 |
348 |
Boulder Creek Critical Zone Observatory May 9 2010 Snow-On Lidar Survey |
72 |
2,900,011,147 |
34 |
349 |
Slumgullion Landslide, Colorado (July 7, 2015) |
71 |
4,865,183,659 |
52 |
350 |
Forest-Snow Interactions in a High Elevation Critical Zone, CA 2022 |
71 |
4,592,912,023 |
34 |
351 |
Truckee, CA: Sagehen Creek Snowpack Measurement |
70 |
4,449,134,256 |
37 |
352 |
Lidar Survey of Dangermond Preserve, CA |
70 |
6,364,024,657 |
34 |
353 |
Measuring Lake Michigan Coastal Erosion, WI 2020 |
70 |
2,053,346,020 |
49 |
354 |
High Resolution SFM Topography of the Central San Andreas Fault, California |
68 |
5,238,834,171 |
48 |
355 |
Niobrara River, Nebraska (532 nm) |
68 |
3,056,653,219 |
56 |
356 |
IML Critical Zone Observatory, Sangamon River, IL Aug 2014 (532 nm) |
68 |
1,193,017,574 |
50 |
357 |
Change Detection of Post-fire Runoff Events, CA 2019 |
67 |
2,114,364,645 |
41 |
358 |
Oban, Stewart Island / Rakiura, New Zealand 2021 |
66 |
3,815,773,815 |
33 |
359 |
Pahrump Valley: California/Nevada State Line |
65 |
1,132,996,613 |
50 |
360 |
Amberley, Canterbury, New Zealand 2012 |
64 |
1,886,172,847 |
44 |
361 |
Bitterroot NF, ID: Transient Hillslope Response to Knickpoint Migration |
64 |
5,036,533,489 |
42 |
362 |
Topography of Normal Faults in the Volcanic Tablelands, CA 2019 |
64 |
8,387,813,696 |
27 |
363 |
High Resolution Topography of House Range Fault, Utah |
63 |
7,578,045,509 |
35 |
364 |
USFS North Happy Camp Complex Lidar, CA 2015 |
62 |
2,566,100,139 |
20 |
365 |
Mayapan, Mexico |
61 |
3,250,663,507 |
30 |
366 |
Lidar Survey of Sparta Earthquake Rupture, NC 2020 |
59 |
2,232,984,549 |
35 |
367 |
Wairarapa Fault, NZ 2010 |
58 |
1,466,027,958 |
41 |
368 |
High Resolution Topography over Gabilan Mesa, CA 2003 |
55 |
1,041,094,818 |
40 |
369 |
Study in Erosion Response: Horse Linto, CA 2019 |
55 |
3,993,278,295 |
38 |
370 |
Climate and Tectonic Controls on Bedrock Hillslopes, CA 2019 |
52 |
4,348,116,523 |
34 |
371 |
USFS Willow Creek Lidar, CA 2012 |
52 |
1,794,421,974 |
32 |
372 |
Idaho Falls, ID: Lidar for Modeling Eolian Soil Transport |
50 |
2,249,655,131 |
38 |
373 |
Cheviot and Hawarden, Canterbury, New Zealand 2015 |
50 |
1,531,334,056 |
40 |
374 |
Repeat Mapping of Antelope Valley Ranch, CA, 2019 |
49 |
2,310,109,149 |
26 |
375 |
Merced, CA: Origin and Evolution of the Mima Mounds |
49 |
2,045,449,517 |
39 |
376 |
Dixie Valley Fault Rupture Terrestrial Laser Scanning Dataset-Site 2 |
48 |
1,610,963,527 |
41 |
377 |
Lidar Survey of the San Pedro River, AZ 2021 |
47 |
1,908,144,877 |
32 |
378 |
Lost River Fault Zone Near Borah Peak, Idaho |
47 |
5,782,717,747 |
21 |
379 |
Marsden Point, Northland, New Zealand 2016 |
47 |
306,522,862 |
38 |
380 |
Kaikōura and Waimakariri, Canterbury, New Zealand 2022 |
44 |
2,606,642,284 |
27 |
381 |
Piercy, CA: Response of Bedrock River to Base Level Lowering, SF Eel River |
43 |
1,283,489,502 |
26 |
382 |
Meandering Channels in Death Valley, CA 2019 |
43 |
5,110,335,857 |
25 |
383 |
Evaluating Area-Volume Relationships after Mass Wasting Event, NC 2020 |
41 |
2,922,914,663 |
31 |
384 |
USFS Moonlight Fire Lidar, CA 2013 |
41 |
1,434,937,979 |
10 |
385 |
Lawrenceville, IL: Detecting Tectonically Deformed Shorelines |
40 |
1,081,526,667 |
32 |
386 |
Lidar Survey of the Sierra Nevada Mountains, CA 2012 |
40 |
1,565,297,538 |
27 |
387 |
Porirua, Wellington, New Zealand 2023 |
40 |
759,032,361 |
24 |
388 |
3D Fuel Structure in Relation to Prescribed Fire, CA 2020 |
39 |
3,456,516,855 |
25 |
389 |
Mapping Changes in Vegetation After Deep-Seated Landslides, OR 2022 |
39 |
3,223,869,776 |
12 |
390 |
USFS Moores Flat Lidar, CA 2013 |
38 |
992,317,615 |
16 |
391 |
Impact of Waterfall Formation on River Long Profiles, CA 2021 |
37 |
1,827,229,203 |
23 |
392 |
2007 LVIS Greenland |
37 |
5,781,096 |
19 |
393 |
USFS Oak Creek Lidar, CA 2012 |
37 |
2,113,408,053 |
23 |
394 |
USFS Blodgett Forest Lidar, CA 2013 |
36 |
668,999,574 |
25 |
395 |
USFS Lower Klamath Lidar, CA 2014 |
36 |
2,997,974,746 |
15 |
396 |
USFS Medicine Lake Volcano Lidar, CA 2013 |
35 |
1,704,669,222 |
24 |
397 |
Tushar Mountains, Utah (532 nm) |
34 |
701,333,805 |
28 |
398 |
Greys River, WY (532 nm) |
34 |
1,517,795,879 |
24 |
399 |
Eel River Critical Zone Observatory July 2014 Lidar Survey (1064 nm/Angelo) |
33 |
3,747,901,389 |
24 |
400 |
Blacks Mountain Experimental Forest, CA 2009 |
33 |
606,365,727 |
16 |
401 |
USFS Dinkey Creek Lidar, CA 2012 |
31 |
1,089,832,790 |
26 |
402 |
USFS Gopher Hill Lidar, CA 2012 |
29 |
243,446,338 |
19 |
403 |
Alpine Fault, NZ 2015 |
27 |
982,515,566 |
16 |
404 |
USFS Mill Flat Creek Lidar, CA 2012 |
26 |
1,339,611,013 |
17 |
405 |
Post-Fire Debris Flow Detection and Erosion, Oregon 2020 |
25 |
2,322,124,720 |
18 |
406 |
IML Critical Zone Observatory, Clear Creek Aug 2014 Lidar Survey (532 nm) |
25 |
403,103,054 |
23 |
407 |
USFS Mount Bidwell Lidar, CA 2013 |
25 |
1,337,907,351 |
14 |
408 |
USFS Marble Valley Lidar, CA 2012 |
25 |
1,577,309,811 |
14 |
409 |
Topography of Normal Faults in the Volcanic Tablelands, CA 2018 |
24 |
1,089,775,325 |
22 |
410 |
Interpreting Fluvial Processes from Channel-Belt Deposits, Utah 2018 |
24 |
1,874,302,309 |
20 |
411 |
USFS East Branch East Weaver Creek Lidar, CA 2012 |
23 |
1,132,619,662 |
14 |
412 |
USFS Hager Basin Lidar, CA 2013 |
23 |
714,505,992 |
18 |
413 |
USFS Meadow Valley Lidar, CA 2009 |
22 |
493,809,709 |
18 |
414 |
Channel Avulsion in Bishop, California |
22 |
1,489,579,352 |
19 |
415 |
USFS Kern Plateau Lidar, CA 2011 |
21 |
1,471,630,539 |
15 |
416 |
Topographic and Lithologic Controls on Subsurface Weathering, CA 2021 |
21 |
989,154,622 |
11 |
417 |
USFS Bluff Creek Lidar, CA 2013 |
20 |
1,092,319,305 |
14 |
418 |
USFS Road46 Lidar, CA 2013 |
20 |
611,027,717 |
14 |
419 |
Structure from Motion data along the sSAF, Salt Creek, CA 2021 |
18 |
1,401,805,764 |
13 |
420 |
USFS Mule Lidar, CA 2013 |
18 |
134,728,194 |
8 |
421 |
USFS Humbug Creek Lidar, CA 2013 |
18 |
3,695,208,231 |
10 |
422 |
USFS Deadman Creek Lidar, CA 2013 |
18 |
650,267,240 |
9 |
423 |
Estimating Bedload Transport in Gravel-Bedded Rivers, MA 2021 |
17 |
992,947,397 |
12 |
424 |
USFS Illilouette Basin Lidar, CA 2011 |
17 |
1,000,783,878 |
17 |
425 |
USFS Bagley Fire Lidar, CA 2013 |
16 |
641,155,999 |
9 |
426 |
Sediment Accretion Rates and Spatial Patterns in the Wax Lake Delta, LA 2020 |
16 |
1,657,455,724 |
14 |
427 |
Topographic Signatures of Barrier Island Vulnerability, TX 2021 |
15 |
1,011,619,021 |
12 |
428 |
USFS Michigan Bluff Lidar, CA 2013 |
15 |
781,528,946 |
11 |
429 |
USFS Cub Complex Lidar, CA 2009 |
13 |
259,378,297 |
7 |
430 |
Central Alpine Fault, NZ 2010 |
13 |
148,978,783 |
10 |
431 |
USFS Bean Hill Lidar, CA 2012 |
13 |
25,893,165 |
8 |
432 |
Quantifying Channel Change in a Steep Coastal Stream, CA 2022 |
13 |
249,054,392 |
6 |
433 |
USFS Trout Creek Lidar, CA 2012 |
12 |
141,742,938 |
7 |
434 |
USFS Mule Lidar, CA 2012 |
12 |
135,637,298 |
10 |
435 |
USFS Trout Creek Lidar, CA 2013 |
11 |
294,091,207 |
10 |
436 |
Morphodynamics of an Unvegetated Meandering River, NV 2021 |
11 |
182,991,449 |
8 |
437 |
USFS Slides Glade Lidar, CA 2013 |
10 |
288,895,681 |
9 |
438 |
USFS Taliaferro Ridge Lidar, CA 2013 |
10 |
601,129,108 |
4 |
439 |
Linking Snowpack Heterogeneity to Subsurface Storage and Transmissivity, OR 2022 |
8 |
250,035,252 |
6 |
440 |
USFS Dinkey Creek Lidar, CA 2010 |
7 |
169,408,548 |
7 |
441 |
USFS Taliaferro Ridge Lidar, CA 2012 |
6 |
13,845,122 |
2 |
442 |
Structure from Motion data along the sSAF, Ferrum, CA 2021 |
6 |
99,256,614 |
6 |
443 |
USFS South Creek Lidar, CA 2012 |
5 |
270,774,209 |
4 |
444 |
Western Hope Fault, NZ 2010 |
4 |
141,684,302 |
4 |
445 |
USFS Storrie Fire, CA 2013 |
3 |
46,298,983 |
2 |
446 |
Quantitative Characterization of Dune-Dune Interactions, CA 2022 |
3 |
72,997,807 |
2 |
447 |
USFS Snag Hill Lidar, CA 2012 |
2 |
43,813,126 |
2 |
448 |
USFS Squaw Creek Lidar, CA 2013 |
2 |
79,073,598 |
2 |
449 |
USFS Storrie Fire, CA 2009 |
2 |
27,121,136 |
2 |
450 |
Mapping the PUUC Region, Campeche, Mexico |
1 |
157,327,139 |
1 |
451 |
Lidar Transects along Yucatan Peninsula and San Gervasio, Mexico |
1 |
6,116,553 |
1 |
|
|
All Datasets |
242,586 |
9,369,902,950,221 |
|