1 |
Mapping the PUUC Region, Campeche, Mexico |
1 |
157,327,139 |
1 |
2 |
Lidar Transects along Yucatan Peninsula and San Gervasio, Mexico |
1 |
6,116,553 |
1 |
3 |
Lidar Survey of Montreal, Quebec, Canada 2015 |
22 |
1,260,282,964 |
7 |
4 |
Western Hope Fault, NZ 2010 |
7 |
186,703,757 |
7 |
5 |
Structure from Motion data along the sSAF, Ferrum, CA 2021 |
11 |
242,775,648 |
8 |
6 |
USFS Summit Springs Lidar, CA 2013 |
12 |
228,412,484 |
11 |
7 |
USFS Cub Complex Lidar, CA 2009 |
18 |
370,494,787 |
11 |
8 |
USFS Taliaferro Ridge Lidar, CA 2012 |
19 |
1,078,997,771 |
11 |
9 |
USFS Deadman Creek Lidar, CA 2013 |
21 |
890,678,702 |
12 |
10 |
Linking Snowpack Heterogeneity to Subsurface Storage and Transmissivity, OR 2022 |
20 |
1,156,351,296 |
13 |
11 |
Topographic Signatures of Barrier Island Vulnerability, TX 2021 |
16 |
1,011,803,613 |
13 |
12 |
USFS Bean Hill Lidar, CA 2012 |
21 |
135,208,221 |
13 |
13 |
Morphodynamics of an Unvegetated Meandering River, NV 2021 |
16 |
705,853,690 |
13 |
14 |
USFS Taliaferro Ridge Lidar, CA 2013 |
21 |
1,076,471,264 |
14 |
15 |
USFS Humbug Creek Lidar, CA 2013 |
23 |
3,896,132,960 |
14 |
16 |
USFS Slides Glade Lidar, CA 2013 |
18 |
645,973,010 |
16 |
17 |
USFS Mule Lidar, CA 2013 |
29 |
434,624,973 |
16 |
18 |
Quantitative Characterization of Dune-Dune Interactions, CA 2022 |
39 |
2,554,922,494 |
17 |
19 |
USFS Snag Hill Lidar, CA 2012 |
27 |
896,190,614 |
17 |
20 |
USFS Michigan Bluff Lidar, CA 2013 |
32 |
1,374,177,659 |
17 |
21 |
USFS Dinkey Creek Lidar, CA 2010 |
19 |
692,177,369 |
18 |
22 |
USFS Mount Bidwell Lidar, CA 2013 |
29 |
1,564,881,166 |
18 |
23 |
USFS Power Fire Lidar, CA 2015 |
104 |
20,678,577,297 |
19 |
24 |
Topographic and Lithologic Controls on Subsurface Weathering, CA 2021 |
31 |
2,026,607,563 |
19 |
25 |
USFS East Branch East Weaver Creek Lidar, CA 2012 |
29 |
1,224,923,947 |
19 |
26 |
Sao Paulo, Brazil Lidar Survey 2017 |
26 |
2,237,000,334 |
19 |
27 |
2007 LVIS Greenland |
37 |
5,781,096 |
19 |
28 |
USFS Lower Klamath Lidar, CA 2014 |
43 |
3,116,577,847 |
20 |
29 |
USFS Bagley Fire Lidar, CA 2013 |
35 |
1,466,597,748 |
20 |
30 |
Estimating Bedload Transport in Gravel-Bedded Rivers, MA 2021 |
27 |
1,194,014,474 |
20 |
31 |
Channel Avulsion in Bishop, California |
23 |
1,535,567,632 |
20 |
32 |
USFS Bluff Creek Lidar, CA 2013 |
29 |
1,507,320,925 |
20 |
33 |
USFS Hager Basin Lidar, CA 2013 |
26 |
790,608,592 |
21 |
34 |
USFS South Creek Lidar, CA 2012 |
34 |
1,532,156,594 |
21 |
35 |
USFS Squaw Creek Lidar, CA 2013 |
24 |
782,717,207 |
21 |
36 |
USFS Road46 Lidar, CA 2013 |
28 |
1,194,972,203 |
21 |
37 |
Manawatu-Whanganui - Whanganui River Catchment, New Zealand 2025 |
51 |
1,975,730,181 |
22 |
38 |
Lidar Survey of the Snake River, WY 2012 (1064 nm/Gemini) |
27 |
1,390,560,497 |
22 |
39 |
USFS Gopher Hill Lidar, CA 2012 |
34 |
329,563,835 |
23 |
40 |
Structure from Motion data along the sSAF, Salt Creek, CA 2021 |
41 |
2,614,237,524 |
23 |
41 |
Lost River Fault Zone Near Borah Peak, Idaho |
51 |
6,241,544,291 |
24 |
42 |
Post-Fire Debris Flow Detection and Erosion, Oregon 2020 |
31 |
3,613,763,161 |
24 |
43 |
USFS Mule Lidar, CA 2012 |
30 |
651,716,244 |
24 |
44 |
USFS Moonlight Fire Lidar, CA 2013 |
66 |
3,011,184,805 |
25 |
45 |
Topography of Normal Faults in the Volcanic Tablelands, CA 2018 |
34 |
1,493,356,746 |
25 |
46 |
Measuring Hydrologic and Biogeochemical Processes in an Intermittent Stream, ID 2023 |
42 |
2,778,428,798 |
26 |
47 |
USFS Marble Valley Lidar, CA 2012 |
41 |
3,232,701,690 |
26 |
48 |
USFS Moores Flat Lidar, CA 2013 |
51 |
1,704,699,900 |
26 |
49 |
Lidar Survey of Deltaic Wetlands, LA 2023 |
31 |
1,241,850,432 |
27 |
50 |
Blacks Mountain Experimental Forest, CA 2009 |
44 |
1,187,422,759 |
27 |
51 |
USFS Trout Creek Lidar, CA 2013 |
35 |
2,017,111,651 |
27 |
52 |
Mapping the Koyukuk River System, AK 2022 |
53 |
1,421,303,530 |
28 |
53 |
USFS Storrie Fire, CA 2009 |
50 |
2,376,358,682 |
28 |
54 |
Alpine Fault, NZ 2015 |
46 |
2,030,860,635 |
28 |
55 |
Central Alpine Fault, NZ 2010 |
38 |
756,148,788 |
28 |
56 |
Interpreting Fluvial Processes from Channel-Belt Deposits, Utah 2018 |
38 |
1,949,575,294 |
29 |
57 |
USFS Illilouette Basin Lidar, CA 2011 |
47 |
2,716,921,400 |
30 |
58 |
USFS Trout Creek Lidar, CA 2012 |
46 |
1,579,375,920 |
30 |
59 |
Lidar Survey of the McKinley Mine, NM 2023 |
43 |
2,970,725,619 |
30 |
60 |
Lidar Survey of the Kayenta Mine, AZ 2023 |
43 |
1,401,606,694 |
30 |
61 |
Mayapan, Mexico |
62 |
3,453,917,586 |
31 |
62 |
Impact of Waterfall Formation on River Long Profiles, CA 2021 |
46 |
1,952,732,044 |
31 |
63 |
Topography of Normal Faults in the Volcanic Tablelands, CA 2019 |
79 |
8,944,941,906 |
31 |
64 |
Eel River Critical Zone Observatory July 2014 Lidar Survey (1064 nm/Angelo) |
42 |
4,085,403,678 |
31 |
65 |
Tushar Mountains, Utah (532 nm) |
37 |
716,220,213 |
31 |
66 |
Lidar Survey Along the Calico Fault, CA 2023 |
43 |
2,419,019,843 |
32 |
67 |
USFS Storrie Fire, CA 2013 |
56 |
3,377,503,034 |
32 |
68 |
USFS Oak Creek Lidar, CA 2012 |
50 |
2,322,546,669 |
32 |
69 |
USFS Freds Fire Lidar, CA 2015 |
211 |
39,373,213,012 |
32 |
70 |
Sediment Accretion Rates and Spatial Patterns in the Wax Lake Delta, LA 2020 |
50 |
4,973,366,836 |
32 |
71 |
Detecting Changes in Hillslope Geomorphology Due to Thawing Permafrost, AK 2023 |
55 |
3,164,607,732 |
33 |
72 |
Meandering Channels in Death Valley, CA 2019 |
53 |
5,875,801,749 |
33 |
73 |
3D Fuel Structure in Relation to Prescribed Fire, CA 2020 |
61 |
5,606,737,916 |
33 |
74 |
Central Otago, Otago, New Zealand 2021 |
60 |
5,829,070,718 |
34 |
75 |
Mapping Landscape Evolution in the Ozarks, AR 2023 |
64 |
3,877,526,500 |
35 |
76 |
Waimakariri, Canterbury, New Zealand 2023 |
62 |
2,995,846,199 |
35 |
77 |
Piercy, CA: Response of Bedrock River to Base Level Lowering, SF Eel River |
70 |
1,686,318,490 |
35 |
78 |
Lawrenceville, IL: Detecting Tectonically Deformed Shorelines |
45 |
1,516,967,165 |
36 |
79 |
USFS Mill Flat Creek Lidar, CA 2012 |
55 |
2,298,005,713 |
36 |
80 |
Greys River, WY (532 nm) |
64 |
3,141,689,887 |
36 |
81 |
USFS North Happy Camp Complex Lidar, CA 2015 |
91 |
4,295,052,241 |
36 |
82 |
Lidar Survey of the Snake River, WY 2012 (532 nm/Aquarius) |
69 |
2,937,354,899 |
36 |
83 |
High Resolution Topography of House Range Fault, Utah |
67 |
7,809,731,087 |
38 |
84 |
USFS Meadow Valley Lidar, CA 2009 |
60 |
1,123,193,867 |
38 |
85 |
Mapping Changes in Vegetation After Deep-Seated Landslides, OR 2022 |
78 |
6,123,240,775 |
39 |
86 |
Study in Erosion Response: Horse Linto, CA 2019 |
58 |
4,049,800,658 |
41 |
87 |
USFS Blodgett Forest Lidar, CA 2013 |
60 |
1,446,975,876 |
41 |
88 |
Marsden Point, Northland, New Zealand 2016 |
53 |
349,856,229 |
41 |
89 |
Repeat Mapping of Antelope Valley Ranch, CA, 2019 |
72 |
2,938,557,011 |
41 |
90 |
Merced, CA: Origin and Evolution of the Mima Mounds |
51 |
2,085,725,580 |
41 |
91 |
High Resolution Topography over Gabilan Mesa, CA 2003 |
57 |
1,042,218,660 |
42 |
92 |
IML Critical Zone Observatory, Clear Creek Aug 2014 Lidar Survey (532 nm) |
81 |
1,386,517,303 |
42 |
93 |
Lidar Survey of the Centralia Mine, WA 2023 |
53 |
1,951,133,300 |
42 |
94 |
Topo-Bathymetric Data Set: Sacramento River, California 2023 |
84 |
4,439,533,202 |
42 |
95 |
USFS Dinkey Creek Lidar, CA 2012 |
54 |
2,693,814,157 |
42 |
96 |
Idaho Falls, ID: Lidar for Modeling Eolian Soil Transport |
56 |
2,525,064,645 |
42 |
97 |
Quantifying Channel Change in a Steep Coastal Stream, CA 2022 |
98 |
6,371,676,478 |
43 |
98 |
Mapleton, OR: Transient Landscape Evolution in the Oregon Coast Range |
81 |
3,335,909,324 |
43 |
99 |
USFS Medicine Lake Volcano Lidar, CA 2013 |
73 |
3,785,014,803 |
43 |
100 |
Bitterroot NF, ID: Transient Hillslope Response to Knickpoint Migration |
66 |
5,061,180,899 |
43 |
101 |
Truckee, CA: Sagehen Creek Snowpack Measurement |
83 |
4,582,216,702 |
44 |
102 |
Control of steepland landscape morphology in Idaho Batholith |
93 |
1,957,026,153 |
45 |
103 |
Lidar Survey of Caspar Creek, CA 2003 |
65 |
29,910,621 |
45 |
104 |
USFS Sims Fire Lidar, CA 2012 |
106 |
4,812,171,793 |
45 |
105 |
Cheviot and Hawarden, Canterbury, New Zealand 2015 |
67 |
1,544,620,568 |
45 |
106 |
Boulder Creek Critical Zone Observatory May 9 2010 Snow-On Lidar Survey |
110 |
3,431,624,911 |
46 |
107 |
USFS Kern Plateau Lidar, CA 2011 |
62 |
3,332,055,621 |
47 |
108 |
IML Critical Zone Observatory, Sangamon River, IL Aug 2014 (1064 nm) |
78 |
3,696,851,997 |
47 |
109 |
Monitoring the Mass Balance of Eklutna Glacier, AK 2023 |
90 |
4,942,186,132 |
47 |
110 |
Climate and Tectonic Controls on Bedrock Hillslopes, CA 2019 |
100 |
6,691,733,632 |
48 |
111 |
Lidar Survey of the San Pedro River, AZ 2021 |
68 |
2,791,160,205 |
48 |
112 |
IML Critical Zone Observatory, Clear Creek Aug 2014 Lidar Survey (1064 nm) |
93 |
2,854,540,435 |
49 |
113 |
2008 LVIS Sierra Nevada, CA |
95 |
113,915,102 |
50 |
114 |
Change Detection of Post-fire Runoff Events, CA 2019 |
81 |
3,175,813,165 |
51 |
115 |
Normal Fault Comparisons, Utah 2019 |
121 |
11,061,130,213 |
51 |
116 |
Dixie Valley Fault Rupture Terrestrial Laser Scanning Dataset-Site 2 |
61 |
1,965,283,860 |
51 |
117 |
Wairarapa Fault, NZ 2010 |
73 |
2,421,288,297 |
52 |
118 |
Lidar Survey of a Partially Burned Mountain Watershed, CO 2023 |
65 |
4,601,811,289 |
53 |
119 |
Lidar Survey of Dangermond Preserve, CA |
102 |
10,117,325,616 |
53 |
120 |
Alteration of Groundwater Flow due to Slow Landslide Failure, CA |
89 |
5,885,281,682 |
53 |
121 |
2019 Ridgecrest, CA: Trona-Argus Area - Post-Earthquake Lidar |
112 |
4,388,599,748 |
54 |
122 |
Mount Ruapehu Summit Region and Rangataua Flows, New Zealand 2021 |
134 |
6,900,823,610 |
54 |
123 |
Bishop, CA: Morphological characteristics of the Bishop Tuff |
96 |
6,349,832,855 |
54 |
124 |
Oban, Stewart Island / Rakiura, New Zealand 2021 |
94 |
5,238,366,256 |
54 |
125 |
Oregon Coast Range: Sediment Storage in Debris-Flows |
109 |
4,004,606,636 |
55 |
126 |
Lidar Survey of the Sierra Nevada Mountains, CA 2012 |
77 |
3,133,676,840 |
56 |
127 |
Loma Mar, CA: Lidar survey of the San Jose Mountains |
93 |
1,385,040,800 |
56 |
128 |
Lidar Survey of Lava Tubes, CA 2023 |
93 |
3,818,556,159 |
56 |
129 |
Lidar Survey of Paoha Island, CA 2023 |
86 |
5,029,048,585 |
58 |
130 |
Fault geometry on the Mission Creek-Mill Creek faults, CA 2017 |
102 |
5,470,598,545 |
58 |
131 |
Pahrump Valley: California/Nevada State Line |
74 |
1,186,312,936 |
58 |
132 |
Idaho Lidar Consortium (ILC): Jack Waite Mine |
109 |
5,471,630,458 |
59 |
133 |
Central Utah: Topographic Amplification of Earthquake Ground Motions |
90 |
4,185,764,474 |
59 |
134 |
Greys River, WY (1550 nm) |
86 |
3,970,085,703 |
60 |
135 |
Evaluating Area-Volume Relationships after Mass Wasting Event, NC 2020 |
97 |
8,352,587,339 |
60 |
136 |
Niobrara River, Nebraska (532 nm) |
74 |
3,180,659,057 |
61 |
137 |
Lidar Survey to Evaluate Spatial Heterogeneity and Channel Evolution, MT 2022 |
116 |
5,113,119,860 |
61 |
138 |
High Resolution Topography along the Lost River Valley, Idaho 2019 |
130 |
8,736,549,057 |
61 |
139 |
North Carolina Coast: Quantifying Patterns of Coastal Change (June 2006) |
107 |
2,143,483,296 |
62 |
140 |
Lidar Survey of John Henry Mine, WA 2023 |
94 |
2,236,185,091 |
62 |
141 |
Rio Puerco River, NM: Study of overbank flood dynamics |
100 |
4,656,661,954 |
63 |
142 |
High Resolution SFM Topography of the Central San Andreas Fault, California |
92 |
7,560,912,668 |
63 |
143 |
Measuring Variations in Bedrock Cliff Morphologies, Idaho 2019 |
83 |
3,438,414,537 |
63 |
144 |
Columbia, NC: Modeling Coastal Plain Wetland Ecosystems |
98 |
4,837,656,833 |
63 |
145 |
Manawatū - Whanganui, New Zealand 2024 |
141 |
13,887,675,808 |
64 |
146 |
IML Critical Zone Observatory, Sangamon River, IL Aug 2014 (532 nm) |
85 |
1,560,708,593 |
65 |
147 |
Airborne Laser Mapping of Independence Lake, CA |
87 |
2,312,084,116 |
65 |
148 |
Little San Bernardino Mountains, Joshua Tree National Park, California |
93 |
6,056,450,331 |
65 |
149 |
SW Montana: Beavers as Geomorphic Agents in Small, Rocky Mountain Streams |
101 |
3,765,168,818 |
66 |
150 |
Amberley, Canterbury, New Zealand 2012 |
105 |
2,492,321,620 |
66 |
151 |
Boulder Creek Critical Zone Observatory May 5 2010 Snow-On Lidar Survey |
119 |
5,378,901,245 |
67 |
152 |
Agua Blanca Fault, Baja California, Mexico. |
116 |
2,421,314,656 |
68 |
153 |
Measuring Lake Michigan Coastal Erosion, WI 2020 |
98 |
3,316,650,707 |
68 |
154 |
Lidar Survey of Sparta Earthquake Rupture, NC 2020 |
105 |
4,442,721,798 |
68 |
155 |
Idaho Lidar Consortium (ILC): Nez Perce Reservation |
105 |
2,215,710,004 |
68 |
156 |
Hope Fault, NZ 2010 |
118 |
4,103,725,815 |
69 |
157 |
Idaho Lidar Consortium (ILC): Clear Creek |
163 |
10,632,686,214 |
69 |
158 |
White Mountain Fault Zone, Owens Valley, CA |
142 |
10,876,795,599 |
69 |
159 |
John Day Watershed 2006 - US Bureau of Reclamation |
125 |
4,438,527,366 |
70 |
160 |
Characterizing Alluvial Channel Bank Erosion with Lidar, TX 2023 |
151 |
7,334,752,122 |
70 |
161 |
Bedrock River Channels of the Taiwan Central Range, 2018-2020 |
169 |
7,245,098,775 |
71 |
162 |
Ecosystem Structure in Hetereogeneous Restored Wetlands, CA 2018 |
231 |
8,717,483,572 |
72 |
163 |
Forest-Snow Interactions in a High Elevation Critical Zone, CA 2022 |
146 |
7,179,810,876 |
72 |
164 |
Mojave Desert, CA: Evolution of the Hector Mine Earthquake Surface Rupture |
174 |
10,475,519,122 |
73 |
165 |
Paleo-Outburst Floods in the Truckee River Canyon, CA |
120 |
2,909,615,485 |
73 |
166 |
San Rafael River, Castle Dale, Utah, 2016 |
115 |
6,000,872,624 |
73 |
167 |
Gabilan Mesa, CA: Valley Alluviation effects on Hillslope-Channel Coupling |
120 |
11,188,688,749 |
73 |
168 |
Slip transfer through the Eastern Transverse Ranges, CA 2017 |
115 |
7,258,955,359 |
74 |
169 |
Abel Tasman and Golden Bay, Tasman, New Zealand 2023 |
121 |
7,076,425,650 |
74 |
170 |
Lost River Fault at Doublespring Pass Rd, Idaho 2015 |
121 |
7,690,258,414 |
75 |
171 |
Hydrologic Effects of Forest Restoration, WA 2021 |
147 |
10,441,991,028 |
75 |
172 |
Mount Shasta, CA: Quaternary Debris Avalanche |
102 |
5,322,063,253 |
76 |
173 |
High Resolution Mapping of Antelope Valley Ranch, CA. |
152 |
7,477,365,707 |
77 |
174 |
Boise NF, ID: Avalanche Forecasting and Acoustic Detection |
120 |
5,497,554,055 |
77 |
175 |
Harper Lake Fault Slip Distribution, Central Mojave, CA |
206 |
25,636,188,493 |
77 |
176 |
Eagle Creek Fire Area in the Columbia River Gorge, Oregon |
183 |
8,458,927,881 |
77 |
177 |
Rapid Response to 2011 Mississippi Flood |
162 |
14,622,528,167 |
77 |
178 |
Powder River, MT 2016 |
115 |
5,229,952,578 |
77 |
179 |
West Swanzey, NH: Geomorphic Response to Dam Removal, Ashuelot River(2011) |
190 |
8,973,215,131 |
78 |
180 |
Niobrara River, Nebraska |
99 |
3,385,450,482 |
78 |
181 |
USFS Willow Creek Lidar, CA 2012 |
117 |
4,897,630,306 |
79 |
182 |
Northern California Coast: Slope Failure in Low and High Uplift Regions |
129 |
5,741,625,388 |
79 |
183 |
Slumgullion Landslide, Colorado (July 7, 2015) |
139 |
9,462,740,234 |
80 |
184 |
Southern San Andreas Fault from Painted Canyon to Bombay Beach, CA |
239 |
32,014,349,360 |
81 |
185 |
Lidar Survey of Dump Creek, ID 2019 |
119 |
4,136,921,105 |
81 |
186 |
Reynolds Creek Critical Zone Observatory 2015 Post-Soda Fire Lidar |
179 |
14,150,723,821 |
81 |
187 |
Furnace Creek and Fish Lake Valley Fault Zones, Death Valley National Park |
112 |
3,053,230,896 |
82 |
188 |
Motueka River Valley, Tasman, New Zealand 2018-2019 |
192 |
7,122,678,715 |
82 |
189 |
Lemhi Watershed - US Bureau of Reclamation |
199 |
9,047,970,435 |
82 |
190 |
Post-fire Debris Flows in Santa Monica Mountains, CA 2019 |
131 |
6,281,006,206 |
83 |
191 |
Blind Canyon and Box Canyon, Twin Falls, ID |
105 |
1,286,643,520 |
84 |
192 |
Lincoln National Forest, NM: Floodplains in Fluvial Networks |
139 |
8,956,727,481 |
84 |
193 |
1959 Hebgen Lake rupture (Montana) |
148 |
9,185,822,454 |
85 |
194 |
High Resolution Topography near Santa Cruz, CA 2017 |
173 |
14,838,255,920 |
85 |
195 |
Santa Clarita Topography |
131 |
5,578,018,360 |
86 |
196 |
West Bijou Creek, CO |
123 |
2,961,856,944 |
86 |
197 |
Whangarei Heads, Northland, New Zealand 2016 |
146 |
3,749,930,439 |
86 |
198 |
Quantifying rock strength controls in Guadalupe Mountains, NM/TX |
151 |
9,812,388,888 |
87 |
199 |
North Sister, OR: Collier Cone Lava Flow |
164 |
6,709,444,309 |
87 |
200 |
Laytonville, CA lidar 2015 |
130 |
7,257,799,190 |
87 |
201 |
Post Hurricane Harvey Mapping of the Mission River, Texas 2018 |
153 |
6,788,041,846 |
87 |
202 |
Bald Point, FL: Hurricane Frequency and Storm Surge Archives from Sinkholes |
115 |
6,082,295,888 |
87 |
203 |
Yellowstone National Park, WY: Quantifying Gravel-Bed Rivers |
119 |
5,841,881,239 |
88 |
204 |
Timaru Rivers, Canterbury, New Zealand 2014 |
145 |
5,919,855,997 |
88 |
205 |
Idaho Lidar Consortium (ILC): South Fork Salmon and Secesh Rivers |
167 |
11,120,943,880 |
89 |
206 |
Idaho Lidar Consortium (ILC): Emerald Creek |
130 |
3,581,856,497 |
90 |
207 |
Mapping of Displacements Near Parkfield, California |
157 |
11,776,807,202 |
90 |
208 |
Yucaipa Ridge, San Bernardino Mountains, CA |
163 |
8,487,870,659 |
93 |
209 |
NW Nevada: Modeling of Meander Channel Evolution |
155 |
5,928,257,523 |
93 |
210 |
Kaikōura and Waimakariri, Canterbury, New Zealand 2022 |
165 |
8,338,890,711 |
93 |
211 |
Thames, Waikato, New Zealand 2017-2019 |
182 |
4,747,827,293 |
94 |
212 |
Huntly, Waikato, New Zealand 2015-2019 |
184 |
7,206,896,220 |
94 |
213 |
Eel River Critical Zone Observatory July 2014 Lidar Survey (532 nm) |
249 |
21,096,896,030 |
94 |
214 |
Monitoring Woodland Ecosystems, Utah 2018 |
202 |
17,750,795,778 |
95 |
215 |
Yosemite Rim Fire, Smithsonian Forest lidar 2013 |
133 |
4,743,926,193 |
95 |
216 |
Lassen Volcanic National Park, CA 2019 |
178 |
7,385,968,478 |
95 |
217 |
Dragons Back Ridge: San Andreas Fault, California |
169 |
6,064,573,675 |
95 |
218 |
Characterizing Forest Structure Changes and Effects on Snowpack, AZ 2017 |
157 |
9,624,315,897 |
95 |
219 |
West Swanzey, NH: Geomorphic Response to Dam Removal, Ashuelot River (2010) |
201 |
5,778,480,922 |
95 |
220 |
Wellington Fault, NZ 2010 |
118 |
2,113,131,347 |
95 |
221 |
Corpus Cristi, TX: Influence of Dunes & Barrier Islands on Hurricane Surge |
140 |
9,534,851,657 |
96 |
222 |
Wheeler Ridge, CA |
175 |
18,167,731,518 |
96 |
223 |
Eel River, CA: Landsliding and the Evolution of Mountainous Landscapes |
151 |
8,756,680,377 |
97 |
224 |
Point Reyes, CA: Landscape Response to Tectonics |
162 |
4,935,633,773 |
97 |
225 |
Inyo Domes, CA lidar 2016 |
159 |
9,757,309,766 |
97 |
226 |
Illinois River, OR, Coast Ranges, 2016 |
192 |
9,559,360,708 |
97 |
227 |
South Fork Eel River, CA Watershed Morphology |
153 |
5,645,472,089 |
98 |
228 |
Boulder Creek Critical Zone Observatory May 20-21 2010 Snow-On Lidar Survey |
202 |
20,501,193,106 |
98 |
229 |
Geomorphic Effects of Landslide Dams on the Owyhee River, Oregon |
246 |
29,010,281,733 |
99 |
230 |
Photogrammetric model of the Tecolote Volcano, Sonora, Mexico |
154 |
15,281,156,910 |
101 |
231 |
Geologic Mapping of Coal Beds (Northeastern Montana) |
149 |
11,644,617,797 |
102 |
232 |
Lake Isabella Lidar Collection, CA 2015 |
191 |
8,038,415,158 |
103 |
233 |
Apopka, FL: Using Lidar to Identify Optimal Gopher Tortoise habitat |
153 |
4,314,847,038 |
104 |
234 |
Reporoa and Upper Piako River, Waikato, New Zealand 2019 |
170 |
7,151,513,483 |
104 |
235 |
Salsipuedes-Punta Morro, Baja California, Mexico 2014 |
167 |
1,545,428,262 |
104 |
236 |
Fault systems in the Eastern California Shear Zone, CA |
218 |
8,472,570,549 |
104 |
237 |
Eel River Critical Zone Observatory July 2014 Lidar Survey (1064 nm) |
412 |
10,337,188,251 |
104 |
238 |
Merritt Island, FL: Identification of Florida Scrub-Jay Habitat |
143 |
4,909,433,911 |
105 |
239 |
Niwot Ridge Long-Term Ecological Research Site, Colorado |
147 |
5,389,109,998 |
105 |
240 |
Tender Foot, MT: Hydrological Processes on Hill Slopes |
196 |
8,762,273,491 |
105 |
241 |
Tushar Mountains, Utah (1550 nm) |
132 |
2,934,177,943 |
106 |
242 |
Southern Sierra Nevada Critical Zone Observatory: Snow On |
224 |
9,984,202,263 |
107 |
243 |
Southern California Bedrock Landscapes 2015 Airborne Lidar |
188 |
11,407,328,208 |
107 |
244 |
Survey of 1920 Haiyuan Earthquake Rupture, China 2013-2017 |
174 |
10,205,332,479 |
107 |
245 |
Solfatara Plateau Obsidian Lava Flow, Yellowstone National Park, WY |
208 |
14,250,506,120 |
107 |
246 |
Tasman Bay, Tasman, New Zealand 2022 |
319 |
9,365,352,967 |
107 |
247 |
Woodland-encroached sagebrush ecosystem, Nevada |
154 |
8,692,959,050 |
108 |
248 |
Surface Expression of the 1886 Charleston, South Carolina Earthquake |
274 |
8,766,032,762 |
109 |
249 |
Erosion and sedimentation within the Kern River Canyon, CA |
265 |
25,641,620,507 |
109 |
250 |
Balclutha, Otago, New Zealand 2020 |
240 |
7,218,381,671 |
110 |
251 |
Hite, UT: Quantifying Evolution and Stability of Coarse Alluvial Channels |
250 |
19,221,511,905 |
111 |
252 |
Hyak, WA: Cedar River Municipal Watershed Snow Modeling |
145 |
8,190,175,873 |
111 |
253 |
Calhoun Critical Zone Observatory 2014 Leaf On Survey |
268 |
15,661,259,440 |
111 |
254 |
Oroville, CA: Middle Fork of the Feather River, Sierra Nevada Foothills |
257 |
12,523,274,047 |
112 |
255 |
Cache NF, UT: Predicting Bonneville Cutthroat Trout Spawning Hotspots |
155 |
9,486,908,054 |
112 |
256 |
Greybull, WY: Sheep Mountain Anticline |
188 |
14,860,859,297 |
113 |
257 |
Hurunui Rivers, Canterbury, New Zealand 2013 |
205 |
6,030,415,683 |
113 |
258 |
Dixie Valley Fault Rupture Terrestrial Laser Scanning Dataset-Site 1 |
128 |
1,190,121,470 |
113 |
259 |
Kern Canyon Lidar Collection, CA 2008 |
197 |
10,818,328,549 |
114 |
260 |
Ladron Peak, New Mexico Survey |
148 |
6,854,593,016 |
115 |
261 |
Everglades National Park |
152 |
5,384,364,891 |
116 |
262 |
Lake Bonneville, Utah |
159 |
6,265,263,117 |
116 |
263 |
Walker Fault System, Nevada, 2015 |
259 |
21,463,849,493 |
116 |
264 |
Distribution and Legacy of Large Landslides, San Gabriel Mountains, CA 2017 |
178 |
7,369,352,845 |
116 |
265 |
White Sands National Monument, NM: Lidar Survey of Dune Fields (Jan 2009) |
206 |
10,547,095,137 |
117 |
266 |
Christina River Basin Critical Zone Observatory April 2010 Lidar Survey |
234 |
7,411,839,288 |
117 |
267 |
Lake Placid, FL: Lidar Survey of the Archibold Biological Station |
148 |
6,208,518,183 |
117 |
268 |
Point Classification for Hazard Applications: Mammoth Lakes, CA |
162 |
7,878,174,938 |
117 |
269 |
Furnace Creek Wash, Death Valley National Park, California |
171 |
6,395,777,801 |
117 |
270 |
Banks Peninsula, Canterbury, New Zealand 2023 |
316 |
13,341,599,469 |
118 |
271 |
Mapping of Diamond Fork River, UT 2017 |
191 |
10,030,408,020 |
119 |
272 |
Topographic stress controls, San Bernardino Mountains, CA 2017 |
204 |
6,647,560,186 |
119 |
273 |
El Mayor-Cucapah Earthquake Rupture Terrestrial Laser Scan-Site 1 |
164 |
4,299,520,583 |
120 |
274 |
Illilouette Creek Basin Lidar Survey, Yosemite Valley, CA 2018 |
184 |
7,369,394,168 |
120 |
275 |
Triangle Lake, OR: Earthquake Induced Landslide |
210 |
13,539,957,197 |
121 |
276 |
High-Resolution Mapping of Goat Rock Volcano, WA |
187 |
8,736,792,303 |
121 |
277 |
Medicine Bow NF, WY: Forest Ecosystem Impacts by Mountain Pine Beetle |
246 |
6,548,816,442 |
122 |
278 |
Perry Mesa, AZ: Ancient Agricultural Features and Landscape Transformation |
190 |
9,418,954,201 |
122 |
279 |
West Coast and Hauraki Plains, Waikato, New Zealand 2015 |
186 |
3,988,739,437 |
122 |
280 |
PG&E Diablo Canyon Power Plant (DCPP): Diablo Canyon, CA Central Coast |
218 |
12,488,933,930 |
122 |
281 |
Lidar Survey of the Malheur National Forest, Oregon |
170 |
5,406,658,827 |
122 |
282 |
Preserving Mountains with Forest Management, CA 2020 |
220 |
15,653,251,340 |
123 |
283 |
Santa Maria River, AZ: Vegetation and channel form |
195 |
11,050,969,752 |
127 |
284 |
Wax Lake Delta, Louisiana, USA 2013 |
252 |
17,215,450,751 |
128 |
285 |
Flathead Lake Biological Station, MT (September 2005) |
214 |
8,996,843,306 |
129 |
286 |
Satellite derived point clouds of the Kura thrust belt, Shamakhi, Azerbaijan, 2021 |
202 |
10,719,568,873 |
130 |
287 |
Mackenzie, Canterbury, New Zealand 2015 |
258 |
8,269,399,964 |
131 |
288 |
Durham, NH: Hyporheic Zone Extent and Exchange in a Coastal Stream |
244 |
7,305,241,355 |
131 |
289 |
San Gabriel Mountains, CA: Tectonics and Topography |
226 |
10,510,628,555 |
133 |
290 |
Northland, New Zealand 2024 |
360 |
16,224,225,788 |
134 |
291 |
Topographic Data Set: Klamath River, California 2018 |
308 |
24,667,834,738 |
135 |
292 |
Mojave Desert, CA: Precariously Balanced Rocks in Seismic Hazard Analysis |
195 |
14,047,113,757 |
136 |
293 |
Tuscaloosa, AL: Seasonal Inundation Dynamics And Invertebrate Communities |
268 |
8,540,701,595 |
136 |
294 |
Andrews Experimental Forest and Willamette National Forest Lidar (Aug 2008) |
235 |
8,766,095,544 |
136 |
295 |
Volcanic Tablelands in Bishop, California |
320 |
30,542,353,619 |
137 |
296 |
Sierra National Forest, CA: Soil Formation and Transport |
196 |
3,195,916,839 |
138 |
297 |
San Rafael, UT: Survey of Exposed Subsurface Volcanic Features |
253 |
16,735,105,785 |
138 |
298 |
Stanley, ID: Linkages Between Hydrologic Complexity and Nutrient Export |
241 |
26,285,998,740 |
141 |
299 |
El Mayor-Cucapah Earthquake, Pleiades 2014 |
262 |
23,639,546,022 |
141 |
300 |
Yosemite, CA: Spatial & Temporal Patterns of Nitrogen Export |
349 |
11,755,892,281 |
141 |
301 |
Auckland Part 2, New Zealand 2024 |
460 |
24,645,488,211 |
141 |
302 |
Mapping of Hydrothermal Explosion Craters in Yellowstone N.P., WY 2017 |
231 |
15,806,729,304 |
142 |
303 |
Wax Lake Delta, Louisiana, USA 2009 |
290 |
14,021,546,650 |
143 |
304 |
Susquehanna Shale Hills Critical Zone Observatory: Leaf Off Survey |
261 |
13,631,244,176 |
143 |
305 |
Upper Hutt City, Wellington, New Zealand 2021 |
370 |
25,410,072,672 |
143 |
306 |
Selwyn, Canterbury, New Zealand 2023 |
385 |
22,562,844,789 |
145 |
307 |
Central Otago, Otago, New Zealand 2022-2023 |
378 |
26,907,797,656 |
145 |
308 |
Bay of Plenty, New Zealand 2024 |
452 |
10,625,990,153 |
146 |
309 |
Kaikōura, Canterbury, New Zealand 2016 |
433 |
30,729,547,571 |
148 |
310 |
Clearwater NF, ID: Effects of Watershed Restoration on Hillslope Stability |
259 |
15,291,102,800 |
149 |
311 |
Northern Walker Lane, CA Airborne Lidar Dataset |
1,152 |
29,458,815,030 |
149 |
312 |
Landers Surface Rupture Terrestrial Laser Scanning Dataset |
214 |
1,240,812,700 |
150 |
313 |
Susquehanna Shale Hills Critical Zone Observatory: Leaf On Survey |
288 |
13,127,360,929 |
151 |
314 |
Kremmling, CO: Blue and Colorado River Confluence |
204 |
4,021,033,471 |
152 |
315 |
North Carolina Coast: Quantifying Patterns of Coastal Change (July 2007) |
254 |
3,896,006,883 |
152 |
316 |
Idaho Lidar Consortium (ILC): Lolo Creek and Slate Creek |
276 |
21,479,810,489 |
153 |
317 |
Bedrock exposure, canopy density, and runoff generation in the Rampart Range, CO 2018 |
233 |
9,584,959,428 |
154 |
318 |
South Fork Eel River, CA: Understanding Terrace Formation and Abandonment |
456 |
26,437,179,500 |
155 |
319 |
Mapping of San Gabriel Mountains, CA 2009 Fire |
319 |
19,220,053,371 |
155 |
320 |
Slumgullion Landslide, Colorado (July 3, 2015) |
376 |
23,060,380,143 |
156 |
321 |
Marlborough Fault System, South Island, New Zealand |
310 |
18,892,100,235 |
156 |
322 |
USBR Upper Columbia River Basin West |
297 |
13,405,794,304 |
157 |
323 |
White Canyon and Hite, Lake Powell, Utah |
248 |
8,445,704,161 |
157 |
324 |
Northern Rockies, Montana lidar 2016 |
243 |
16,403,742,821 |
157 |
325 |
Wānaka, Otago, New Zealand 2022-2023 |
369 |
7,442,604,525 |
157 |
326 |
San Isabel NF, CO: Debris Flow Mechanics and Landscape Evolution |
291 |
16,435,674,394 |
161 |
327 |
Idaho Lidar Consortium (ILC): Moscow Mountain |
244 |
5,636,960,760 |
162 |
328 |
Kohala Peninsula, Hawaii: Precipitation Effects on Landscape Evolution |
229 |
10,100,499,237 |
163 |
329 |
Yosemite National Park: Poopenaut Valley and Wawona |
271 |
9,172,307,997 |
163 |
330 |
Central U.S. ARRA Lidar, New Madrid Seismic Zone |
616 |
64,138,862,039 |
163 |
331 |
Carrizo Plain Terrestrial Laser Scanning Dataset |
237 |
18,225,408,988 |
164 |
332 |
Richmond and Motueka, Tasman, New Zealand 2015 |
504 |
9,556,722,644 |
165 |
333 |
Raleigh Peak, Colorado: May 2010 |
283 |
16,769,679,713 |
166 |
334 |
Henry Mountains, UT: Hillslope-Channel Coupling in a Bedrock Landscape |
269 |
12,625,403,703 |
168 |
335 |
Waikato, New Zealand 2024 |
413 |
20,052,776,640 |
168 |
336 |
San Bernardino Mountains, CA 2016 |
307 |
11,702,520,454 |
168 |
337 |
Thorton, NH: Hydrologic and Topographic Controls on Organic Carbon in Soils |
357 |
19,816,071,659 |
170 |
338 |
Top of the South Flood, Nelson and Tasman, New Zealand 2022 |
524 |
23,338,170,871 |
171 |
339 |
NEON D17 Pacific Southwest- California |
338 |
12,937,924,695 |
173 |
340 |
Calhoun Critical Zone Observatory 2016 Leaf Off LiDAR Survey |
309 |
16,428,458,955 |
174 |
341 |
Snake River, Wyoming |
234 |
9,509,259,574 |
174 |
342 |
USFS San Gabriel Mountain Lidar, CA 2009 |
303 |
8,993,789,486 |
176 |
343 |
El Mayor-Cucapah Earthquake Rupture Terrestrial Laser Scan-Site 2 |
204 |
2,424,066,964 |
176 |
344 |
Slumgullion Landslide, Colorado (July 10, 2015) |
335 |
21,005,079,459 |
176 |
345 |
2010 Salton Sea Lidar Collection |
514 |
53,913,788,509 |
179 |
346 |
Silver Plume, CO |
237 |
3,572,325,392 |
180 |
347 |
Nantahala NF, NC: Forest Leaf Structure, Terrain and Hydrophysiology |
312 |
16,292,784,027 |
180 |
348 |
Big Creek, California |
269 |
6,936,616,865 |
180 |
349 |
Flathead Lake Biological Station, MT (May 2005) |
263 |
9,365,476,144 |
180 |
350 |
Canyon Lake Gorge, TX: Mechanics of Megaflood Erosion |
221 |
4,694,692,809 |
181 |
351 |
Raplee Ridge, Utah |
305 |
12,877,015,794 |
185 |
352 |
Abel Tasman and Golden Bay, Tasman, New Zealand 2016 |
385 |
12,345,282,450 |
186 |
353 |
Straight Cliffs Formation, South-Central Utah, 2016 |
290 |
16,020,830,245 |
188 |
354 |
Whanganui Urban, Manawatu-Whanganui, New Zealand 2020-2021 |
710 |
14,767,554,832 |
191 |
355 |
Pellston, MI: Effects of Forest Canopy Structural Change on Carbon Uptake |
255 |
7,504,490,672 |
191 |
356 |
Grand Junction, CO: Roan Plateau |
313 |
17,755,838,479 |
194 |
357 |
Rangiora, Canterbury, New Zealand 2014 |
374 |
11,913,647,591 |
194 |
358 |
Blenheim, Marlborough, New Zealand 2014 |
563 |
10,204,279,819 |
194 |
359 |
Hawke’s Bay, New Zealand 2023 - 2024 |
887 |
42,425,788,631 |
196 |
360 |
Manawatu - Whanganui, New Zealand 2022-2023 |
421 |
18,610,226,333 |
197 |
361 |
Truro and Provincetown, MA: Lidar in Salt Marsh Environments |
283 |
8,612,434,764 |
197 |
362 |
South Florida Everglades |
306 |
13,018,274,543 |
204 |
363 |
New Madrid Seismic Zone |
497 |
44,598,750,976 |
205 |
364 |
Southern Sierra Nevada Critical Zone Observatory: Snow Off |
500 |
22,974,312,130 |
209 |
365 |
Great Smokey Mountains, NC |
280 |
5,846,577,406 |
209 |
366 |
Christina River Basin Critical Zone Observatory July 2010 Lidar Survey |
441 |
18,688,808,965 |
210 |
367 |
Chaco Canyon, NM: Simulating Dynamic Hydrological Processes |
708 |
26,767,289,806 |
212 |
368 |
Survey of Sheepscot, Narragaugus and Pleasant Rivers, Maine |
444 |
20,683,879,531 |
217 |
369 |
Nelson, New Zealand 2021 |
649 |
26,908,368,941 |
222 |
370 |
Surprise Valley, CA |
405 |
29,940,220,598 |
223 |
371 |
Porirua, Wellington, New Zealand 2023 |
573 |
20,138,332,259 |
225 |
372 |
Gisborne, New Zealand 2023 |
926 |
72,481,776,926 |
225 |
373 |
Lidar Survey of Middle Usumacinta Region, Mexico |
445 |
30,062,872,575 |
229 |
374 |
2013 Balochistan earthquake, Pakistan |
429 |
29,401,852,842 |
231 |
375 |
Marlborough, New Zealand 2018 |
639 |
40,786,015,489 |
231 |
376 |
2006 INEGI Sierra Cucupah Empirically Corrected Lidar Dataset |
439 |
5,169,904,641 |
231 |
377 |
Kapiti Coast, Wellington, New Zealand 2021 |
570 |
33,185,795,705 |
233 |
378 |
2019 Ridgecrest, CA Post-Earthquake Lidar Collection |
687 |
53,399,680,908 |
240 |
379 |
August 24, 2014 South Napa Earthquake |
546 |
29,677,516,103 |
243 |
380 |
Poleta Folds, southern Deep Springs Valley, California |
342 |
5,588,476,343 |
246 |
381 |
Jemez River Basin, NM: Post-fire Landscape Response |
371 |
25,528,440,031 |
246 |
382 |
Golden Gate National Recreation Area and Mt. Tamalpais State Park, CA |
360 |
4,236,282,564 |
246 |
383 |
White Sands National Monument, NM: Lidar Survey of Dune Fields (Sept 2009) |
467 |
27,122,495,759 |
247 |
384 |
3D Landscape Reconstruction and Land Use Modeling, Chaco Canyon, NM 2016 |
609 |
39,156,579,300 |
248 |
385 |
Plum Island, MA |
395 |
9,024,396,909 |
255 |
386 |
Kaikoura, Canterbury, New Zealand 2012 |
552 |
16,018,688,929 |
255 |
387 |
Palmerston North, Manawatu-Whanganui, New Zealand 2018 |
809 |
47,676,291,438 |
256 |
388 |
Sea Grass Beds, Apalachicola, FL |
336 |
8,548,806,164 |
259 |
389 |
Granite Dells, AZ |
531 |
22,308,857,365 |
260 |
390 |
Hamilton, Waikato, New Zealand 2023 |
713 |
21,351,961,539 |
267 |
391 |
2008 Iowa River Flood Lidar, Iowa City, and the Clear Creek Watershed |
495 |
17,225,786,059 |
269 |
392 |
Hutt City, Wellington, New Zealand 2021 |
834 |
37,077,993,978 |
269 |
393 |
Tasman, New Zealand 2020-2022 |
954 |
66,853,752,107 |
274 |
394 |
EarthScope Yakima Lidar Project |
583 |
28,169,743,342 |
277 |
395 |
Manawatu - Whanganui, New Zealand 2015-2016 |
738 |
31,888,059,618 |
283 |
396 |
Trinity River, Texas 2015 |
526 |
26,338,870,787 |
285 |
397 |
Airborne Laser Mapping of Yosemite National Park, CA, 2007 |
389 |
5,164,057,918 |
286 |
398 |
West Rainier Seismic Zone, WA |
521 |
21,788,987,351 |
287 |
399 |
Golden Bay, Tasman, New Zealand 2017 |
615 |
29,731,633,680 |
290 |
400 |
Idaho Lidar Consortium (ILC): St. Joe National Forest |
434 |
17,532,238,726 |
293 |
401 |
White Sands National Monument, NM: Lidar Survey of Dune Fields |
744 |
30,648,608,529 |
294 |
402 |
El Mayor-Cucapah Earthquake (4 April 2010) Rupture Lidar Scan |
1,376 |
102,499,726,396 |
295 |
403 |
Auckland Part 1, New Zealand 2024 |
887 |
40,182,828,347 |
296 |
404 |
Banks Peninsula, Canterbury, New Zealand 2018-2019 |
661 |
33,378,991,842 |
297 |
405 |
EarthScope Alaska Denali Totschunda Lidar Project |
812 |
42,891,228,620 |
299 |
406 |
Hamilton, Waikato, New Zealand 2019 |
947 |
38,520,074,898 |
305 |
407 |
Gisborne, New Zealand 2018-2020 |
1,161 |
71,492,475,719 |
308 |
408 |
Dunedin and Mosgiel, Otago, New Zealand 2021 |
744 |
14,224,931,229 |
310 |
409 |
Canterbury, New Zealand 2016-2017 |
631 |
22,175,031,708 |
310 |
410 |
2014-2015 lidar survey of the McMurdo Dry Valleys, Antarctica |
844 |
91,244,559,053 |
312 |
411 |
Lidar Survey of the Black Hills Experimental Forest, South Dakota |
511 |
6,059,157,635 |
318 |
412 |
Tauranga and Coast, Bay of Plenty, New Zealand 2015 |
761 |
10,373,805,954 |
320 |
413 |
Big Sky, MT: Patterns of Nitrogen Export & Land Use Change |
757 |
35,043,924,459 |
321 |
414 |
2016 Solana Beach, CA Bluff Characterization Survey |
578 |
27,520,289,744 |
322 |
415 |
Very High Resolution Airborne Lidar at Strathalbyn in Queensland, Australia |
533 |
27,092,496,677 |
323 |
416 |
Granite Dells Terrestrial Laser Scanning Dataset |
442 |
1,479,753,434 |
325 |
417 |
Queenstown, Otago, New Zealand 2021 |
908 |
24,409,968,129 |
327 |
418 |
Survey of Parts of Potomac and Susquehanna Rivers |
455 |
9,349,431,377 |
328 |
419 |
Southwest Flank of Mt.Rainier, WA |
562 |
37,739,623,921 |
331 |
420 |
Death Valley National Park, CA: Badwater Basin |
574 |
28,332,430,153 |
332 |
421 |
Bay of Plenty, New Zealand 2018-2019 |
853 |
19,446,507,385 |
343 |
422 |
2013 USFS Tahoe National Forest Lidar |
1,118 |
51,258,460,326 |
353 |
423 |
Marlborough, New Zealand 2020-2022 |
1,702 |
92,080,973,186 |
362 |
424 |
Canterbury, New Zealand 2018-2019 |
825 |
30,326,854,387 |
363 |
425 |
2010 CU-Boulder Campus and Flatirons |
674 |
21,785,393,203 |
373 |
426 |
B4 Project - Southern San Andreas and San Jacinto Faults - Classified Lidar |
810 |
38,768,035,651 |
381 |
427 |
Otago, New Zealand 2016 |
961 |
30,817,932,001 |
386 |
428 |
Christchurch and Ashley River, Canterbury, New Zealand 2018-2019 |
996 |
26,306,773,941 |
391 |
429 |
Southland, New Zealand 2020-2024 |
1,454 |
100,174,119,730 |
391 |
430 |
Hawaii Kauai Survey |
727 |
40,574,444,454 |
399 |
431 |
West Coast, New Zealand 2020-2025 |
1,496 |
110,843,634,383 |
400 |
432 |
Queenstown, Otago, New Zealand 2016 |
1,191 |
55,234,794,566 |
401 |
433 |
California ARRA Lidar |
763 |
34,479,354,619 |
412 |
434 |
Coastal Dune Fields of Garopaba and Vila Nova, Santa Catarina State, Brazil |
554 |
4,951,896,592 |
417 |
435 |
California Coast: Big Creek, Vincente, Arroyo Seco, Scotts Creek, UCSC |
841 |
61,335,104,264 |
423 |
436 |
Taranaki, New Zealand 2021 |
1,730 |
73,690,475,134 |
431 |
437 |
Mapping the Kaibab Plateau, AZ |
703 |
39,280,355,285 |
437 |
438 |
Kilauea Volcano, HI June 2018 Acquisition |
1,462 |
73,070,077,933 |
437 |
439 |
Israel Mediterranean Sharon sea cliff, 2006 |
587 |
3,176,738,131 |
438 |
440 |
Teton Conservation District, Wyoming Lidar |
928 |
51,988,347,868 |
440 |
441 |
Na Pali Coast, Kauai, Hawaii |
800 |
46,571,951,458 |
448 |
442 |
Coastal Catchments, Otago, New Zealand 2021 |
2,344 |
60,145,648,554 |
466 |
443 |
Jemez River Basin Snow-off Lidar Survey |
1,125 |
72,187,766,944 |
467 |
444 |
NOAA ISEMP - Watershed Sciences - Bridge Creek, Oregon Lidar Survey, 2005 |
781 |
16,410,421,989 |
470 |
445 |
Yosemite Rim Fire lidar 2013 |
1,048 |
63,244,536,247 |
474 |
446 |
Jemez River Basin Snow-on Lidar Survey |
730 |
24,599,092,276 |
495 |
447 |
East Helanshan Fault, northern China |
945 |
42,517,786,735 |
496 |
448 |
Luquillo CZO Rio Blanco and Rio Mameyes Lidar Survey 2010-2011 |
1,112 |
51,609,011,320 |
501 |
449 |
Northern San Andreas Fault, CA |
1,143 |
30,424,191,642 |
508 |
450 |
Christchurch and Selwyn, Canterbury, New Zealand 2015 |
1,311 |
61,050,041,220 |
508 |
451 |
Lunar Crater Volcanic Field, Central Nevada |
1,190 |
128,552,478,757 |
512 |
452 |
Victor Harbour - South Australia, 2011 |
798 |
34,292,347,747 |
521 |
453 |
2010 Channel Islands Lidar Collection |
1,499 |
121,141,696,326 |
528 |
454 |
Auckland South, New Zealand 2016-2017 |
1,447 |
74,360,617,100 |
557 |
455 |
Yosemite National Park, CA: Rockfall Studies |
1,180 |
60,941,076,294 |
580 |
456 |
Hawke's Bay, New Zealand 2020-2021 |
3,726 |
166,732,210,498 |
583 |
457 |
Missisquoi Watershed Lidar |
1,432 |
60,969,701,139 |
591 |
458 |
Northland, New Zealand 2018-2020 |
2,875 |
82,129,287,474 |
601 |
459 |
Sunset Crater Volcano National Monument, AZ |
1,037 |
63,945,460,635 |
652 |
460 |
Christchurch, Canterbury, New Zealand 2020-2021 |
2,156 |
113,872,922,445 |
675 |
461 |
Austin, TX, Rapid Response, 2015 |
1,223 |
53,463,045,430 |
679 |
462 |
Meteor Crater, AZ |
1,076 |
54,403,506,504 |
696 |
463 |
PG&E Diablo Canyon Power Plant (DCPP): Los Osos, CA Central Coast |
1,638 |
79,586,414,817 |
708 |
464 |
PG&E Diablo Canyon Power Plant (DCPP): San Simeon, CA Central Coast |
2,020 |
145,426,057,695 |
713 |
465 |
Waikato, New Zealand 2021 |
7,355 |
126,266,801,843 |
717 |
466 |
Canterbury, New Zealand 2020-2025 |
2,538 |
162,680,324,760 |
725 |
467 |
Bay of Plenty, New Zealand 2019-2022 |
3,222 |
119,063,856,623 |
729 |
468 |
Kilauea Volcano, HI July 2018 Acquisition |
1,701 |
109,951,612,155 |
729 |
469 |
EarthScope Intermountain Seismic Belt Lidar Project |
1,568 |
83,110,210,056 |
739 |
470 |
EarthScope Southern & Eastern California Lidar Project |
4,071 |
107,814,907,132 |
765 |
471 |
2014 USFS Tahoe National Forest Lidar |
2,058 |
129,098,180,228 |
793 |
472 |
World Bank - ImageCat Inc. - RIT Haiti Earthquake Lidar dataset |
2,542 |
109,769,069,032 |
844 |
473 |
Pre-Kumamoto Earthquake (16 April 2016) Rupture Lidar Scan |
2,499 |
93,533,698,776 |
865 |
474 |
St. Elis Mountains and Gulf of Alaska |
1,785 |
81,602,569,507 |
873 |
475 |
B4 Project - Southern San Andreas and San Jacinto Faults |
4,375 |
198,349,549,193 |
874 |
476 |
Hawaii Big Island Lidar Survey |
1,601 |
87,048,982,589 |
881 |
477 |
Napa Watershed, CA |
2,623 |
71,052,786,361 |
887 |
478 |
Boulder Creek Critical Zone Observatory August 2010 Snow-Off Lidar Survey |
2,228 |
150,024,230,118 |
906 |
479 |
Yosemite, CA: El Portal, Mariposa Grove, Yosemite Canyon & Tuolumne Meadows |
1,830 |
92,831,998,259 |
931 |
480 |
Utah Geological Survey Lidar |
2,417 |
98,173,924,298 |
1,006 |
481 |
USBR Upper Columbia River Basin East |
1,640 |
35,105,034,787 |
1,019 |
482 |
Auckland, New Zealand 2013 |
2,442 |
73,838,914,861 |
1,040 |
483 |
Post-Kumamoto Earthquake (16 April 2016) Rupture Lidar Scan |
2,871 |
103,741,855,714 |
1,048 |
484 |
Wellington City, New Zealand 2019-2020 |
3,497 |
100,421,407,587 |
1,086 |
485 |
2015-2017 State of Utah Lidar Acquisition |
2,609 |
106,307,227,807 |
1,096 |
486 |
UMD-NASA Carbon Mapping /Sonoma County Vegetation Mapping and Lidar Program |
5,082 |
183,091,825,466 |
1,278 |
487 |
Lake Tahoe Basin Lidar |
4,259 |
175,249,535,239 |
1,294 |
488 |
Auckland North, New Zealand 2016-2018 |
5,693 |
239,721,061,585 |
1,438 |
489 |
EarthScope Northern California Lidar Project |
4,048 |
132,240,249,457 |
1,503 |
490 |
Wellington, New Zealand 2013-2014 |
5,627 |
262,145,817,100 |
1,693 |
491 |
State of Utah Acquired Lidar Data - Wasatch Front |
6,715 |
349,607,014,699 |
1,921 |
492 |
2005 San Diego Urban Region Lidar |
4,826 |
123,935,352,175 |
2,112 |
493 |
Oregon Department of Geology and Mineral Industries Lidar Program Data |
18,184 |
771,280,332,659 |
5,295 |
494 |
2011 - 2013 Indiana Statewide Lidar |
61,137 |
625,485,286,965 |
8,283 |
|