CAR Discover AQ BRDF Measurements V2 (CAR_DISCOVERAQ_BRDF_2)

Description

DISCOVER-AQ, a NASA Earth Venture program funded mission, stands for Deriving Information on Surface Conditions from Column and Vertically Resolved Observations Relevant to Air Quality.
In recent years, progress in reaching air quality goals has begun to plateau for many locations. Furthermore, near-surface pollution is one of the most challenging problems for Earth observations from space. However, with an improved ability to monitor pollution from satellites from DISCOVER-AQ, scientists could make better air quality forecasts, more accurately determine the sources of pollutants in the air and more closely determine the fluctuations in emissions levels. In short, the more accurate data scientists have at hand, the better society is able to deal effectively with lingering pollution problems. During the DISCOVER-AQ mission in 2014, the CAR instrument was flown aboard NASA P-3 aircraft and obtained measurements of bidirectional reflectance distribution function (BRDF) at different scales over agricultural and urban areas in Colorado, USA.

This data set consists of observations made with the CAR instrument and includes values for bidirectional reflectance factor at varying spectral bands.

Resources

Name Format Description Link
Download this dataset through a directory map HTML Access the data via HTTPS. Open resource
Use OPeNDAP to access the dataset's data HTML Access the data via the OPenDAP protocol. Open resource
The dataset's project home page HTML CAR Project Home Page Open resource
This dataset's landing page HTML Access the dataset landing page from the GES DISC website. Open resource
View this dataset's read me document PDF README Document Open resource
Get a related visualization JPG CAR_DISCOVERAQ_L1C_1.jpg Open resource
Google Scholar search results HTML Search results for publications that cite this dataset by its DOI. Open resource
Download this dataset through Earthdata Search HTML Use the Earthdata Search to find and retrieve data sets across multiple data centers. Open resource

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