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Description

These lidar measurements were collected in April and August 2022 in the vicinity of Petersham, MA during the SMAPVEX19-22 campaign. This location was chosen due to its forested land cover, as SMAPVEX19-22 aims to validate satellite derived soil moisture estimates in forested areas. The two acquisition periods were selected to characterize differences during "leaf-off” and "leaf-on" conditions.

Version Description

Initial release.

Product Summary

Platforms
CESSNA T206H
Instruments
Leica CityMapper-2
Projects
SMAP VAL
Spatial Extent

N: 42.72 S: 42.32 E: -71.91 W: -72.33

Spatial Reference System(s)
WGS 84 (EPSG:4326)
Location
MASSACHUSETTS
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2022-04-02 to 2022-08-09
Temporal Resolution
Varies
Concept ID
C3286116930-NSIDC_CPRD
Data State
COMPLETE
Number of Files/Granules
2578
Processing Level
NA
Published
Science Keywords
Lidar

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Colliander, A., Xu, X., & Yueh, S. (2023). SMAPVEX19-22 Massachusetts Airborne Lidar, Version 1 [Dataset]. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/Q06P5TZ8CBU5 Date Accessed: 2026-09-12

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Publications Citing This Dataset

Filters
Title Year Author Topic
SMAP Validation Experiment 2019-2022 (SMAPVEX19-22): Field Campaign to Improve Soil Moisture and Vegetation Optical Depth Retrievals in Temperate Forests Colliander, Andreas, Cosh, Michael H., Bourgeau-Chavez, Laura, Kelly, Victoria R., Kraatz, Simon, Siqueira, Paul, Walker, Victoria A., Chen, Xingjian, Roy, Alexandre, Lakhankar, Tarendra, McDonald, Kyle C., Steiner, Nicholas, Kurum, Mehmet, Kim, Seung-bum, Berg, Aaron, Xu, Xiaolan, Misra, Sidharth, Ogut, Mehmet, Vittucci, Cristina, Kimball, John S., Entekhabi, Dara, Yueh, Simon H. Air Temperature, Brightness Temperature, Soil Temperature, Surface Soil Moisture, Vegetation Optical Depth, Vegetation Water Potential, Xylem Dielectric Permittivity, Lidar
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