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Description

This product is composed of a beta version for a product from the MODerate resolution Imaging Spectrometer (MODIS) on board the Aqua satellite.

MODIS Aqua L2 chopped blocks (CB) are part of our global MODIS Aqua data from the 2017 MEaSUREs project, A Comprehensive Data Record of Marine Low-level and Deep Convective Cloud Systems Using an Object-Oriented Approach.

These data are individual MODIS Aqua granules chopped into small blocks in shape (np_x, np_y), where np_x = 128 pixels and np_y = 128 pixels. This file provides the geolocations of all the chopped blocks in the MODIS Aqua granule data. Only daytime granule data are included and blocks with sensor zenith angle > 45 degrees are excluded. The geolocations for each block consist of five latitude and longitude pairs for its four corners and center with a low cloud flag that indicates whether the chopped block is or is not low cloud dominated.

The DOIs of the related datasets of this project are:
MYD_L2_MPLCT_001 DOI: 10.5067/8TDZURGRLN9I
MYD_L3_OFLCT_001 DOI: 10.5067/3FAIC739DQRH

Product Summary

Platforms
Aqua
Instruments
MODIS
Spatial Extent

N: 60 S: -60 E: 180 W: -180

Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2007-01-01
Data Partner
Goddard Earth Sciences Data and Information Services Center (formerly Goddard DAAC), Terrestrial Information Systems Laboratory, Earth Sciences Divis ion, Science and Exploration Directorate, Goddard Space Flight Center, NASA (NASA/GSFC/SED/ESD/TISL/GESD
Concept ID
C2185135863-GES_DISC
Data State
ACTIVE
Number of Files/Granules
4
Processing Level
2
Published
Updated
Science Keywords
Clouds ,
Deep Convective Cloud Systems

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

Tianle Yuan. (2022). MODIS Aqua L2 chopped blocks (block size: 128 pixels x 128 pixels, daytime) V001 at GESDISC [Data set]. NASA Goddard Earth Sciences Data and Information Services Center. https://doi.org/10.5067/DFDGJR6707D8 Date Accessed: 2025-12-19

Documents

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