ASO L4 Lidar Snow Depth 3m UTM Grid, Version 1
Data set id:
ASO_3M_SD
DOI: 10.5067/KIE9QNVG7HP0
This is the most recent version of these data.
Version Summary
Version Summary
Initial release
Overview
This data set contains 3 m gridded snow depths derived from airborne light detection and ranging, or lidar, measurements of surface elevations. The data were collected as part of the NASA/JPL Airborne Snow Observatory (ASO) aircraft survey campaigns.
Parameter(s):
SNOW DEPTH
Platform(s):
DHC-6, King Air
Sensor(s):
Riegl LMS-Q1560
Data Format(s):
GeoTIFF
Temporal Coverage:
3 April 2013 to 10 October 2019
Temporal Resolution:
- Varies
Spatial Resolution:
- 3 m
- 3 m
Spatial Reference System(s):
WGS 84 / UTM zone 10N
EPSG:32610
WGS 84 / UTM zone 11N
EPSG:32611
WGS 84 / UTM zone 12N
EPSG:32612
WGS 84 / UTM zone 13N
EPSG:32613
Spatial Coverage:
N:
38.35197009
S:
38.34702501
E:
-119.1465541
W:
-119.1526326
N:
35.30827095
S:
34.84175616
E:
-118.4895324
W:
-118.9629908
N:
36.34419115
S:
36.26066776
E:
-116.8080226
W:
-116.8720138
N:
37.66784501
S:
37.62315324
E:
-118.8966533
W:
-118.9633777
N:
37.22534041
S:
36.65336263
E:
-118.3217888
W:
-119.1602728
N:
39.1707928
S:
38.70410623
E:
-120.226893
W:
-120.7784099
N:
37.66909751
S:
37.55343841
E:
-118.9505367
W:
-119.0738527
N:
38.19435311
S:
37.72826254
E:
-119.186547
W:
-119.8057568
N:
36.60719927
S:
36.57913838
E:
-118.1711431
W:
-118.1954763
N:
38.00096209
S:
37.88126056
E:
-119.0973977
W:
-119.3268503
N:
38.70477998
S:
38.2451699
E:
-119.7120234
W:
-120.5498287
N:
37.82021489
S:
37.7033706
E:
-119.0372786
W:
-119.2728401
N:
34.89283042
S:
34.77783945
E:
-118.002307
W:
-118.1399209
N:
39.46925434
S:
39.39914367
E:
-120.223812
W:
-120.3261438
N:
37.82737428
S:
36.96180713
E:
-118.5442576
W:
-119.733051
N:
38.19435311
S:
37.72826254
E:
-119.186547
W:
-119.8057568
N:
38.2410645
S:
37.72115314
E:
-119.1836864
W:
-119.9391373
N:
38.2451472
S:
37.53568061
E:
-118.9505367
W:
-119.9391373
N:
39.08139862
S:
38.75359563
E:
-106.8593645
W:
-107.1468517
N:
37.39120306
S:
36.99987095
E:
-106.1673098
W:
-106.710676
N:
38.87467886
S:
37.69229517
E:
-107.3598092
W:
-109.1308069
N:
39.2728431526
S:
38.7772370906
E:
-107.525643057
W:
-108.369145146
N:
37.98230157
S:
37.39058532
E:
-106.4596899
W:
-107.5708232
N:
38.20771619
S:
37.8841623
E:
-107.562078
W:
-107.9723537
N:
42.38520848
S:
42.2881819
E:
-114.6804318
W:
-114.7176046
N:
43.31809187
S:
43.05520107
E:
-116.6802206
W:
-116.8670348
N:
36.9129972
S:
36.43705955
E:
-113.8795636
W:
-114.3776573
N:
44.18033752
S:
43.90476142
E:
-121.6276046
W:
-121.8757381
N:
44.52793541
S:
44.31700873
E:
-121.8134424
W:
-122.1078409
N:
46.97583352
S:
46.72413964
E:
-121.5709621
W:
-121.9573479
N:
48.09085803
S:
47.4930029
E:
-123.1287659
W:
-124.1847181
N:
37.39260287
S:
37.37399023
E:
-118.4109694
W:
-118.4259857
N:
38.22396341
S:
38.20402645
E:
-118.9948678
W:
-119.0204053
N:
37.20269975
S:
37.13101764
E:
-118.2969065
W:
-118.4150135
N:
38.2329357
S:
37.96872691
E:
-119.5873395
W:
-119.9391373
Blue outlined yellow areas on the map below indicate the spatial coverage for this data set.
Data Access & Tools
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Documentation
Help Articles
How to Articles
Many NSIDC DAAC data sets can be accessed using the NSIDC DAAC's Data Access Tool. This tool provides the ability to search and filter data with spatial and temporal constraints using a map-based interface.Users have the option to
The "Snow Depth and Snow Cover Data Exploration” Jupyter Notebook provides Python code to access and compare coincident snow data across in-situ, airborne, and satellite platforms from NASA's SnowEx, ASO, and MODIS data sets, respectively.
All data from the NASA National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC) is directly accessible through our HTTPS file system using Wget or curl. This article provides basic command line instructions for accessing data using this method.