Landsat Missions

L-LDOPE Toolbelt

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Landsat Surface Reflectance products inherit many characteristics from Moderate Resolution Imaging Spectroradiometer (MODIS)-based generation software. As such, they can be manipulated, visualized, and analyzed using command line executables originally developed by the MODIS Land Data Operational Product Evaluation (LDOPE) team at Goddard Space Flight Center. A subset of the LDOPE Toolbox applicable to Landsat Surface Reflectance has been extracted and compiled as the Landsat LDOPE Toolbelt. Its twelve components include functionality for computing histograms, creating masks, extracting statistics, reading metadata, reducing spatial resolution, band and spatial subsetting, and unpacking bit-packed values.

Landsat 8 Operational Land Imager (OLI) quality data can also utilize the Landsat LDOPE Toolbelt. The tool extracts bits from the OLI Quality Assessment (QA) band to allow easy identification and interpretation of pixel condition. The Landsat 8 Quality Tool is described in the OLI QA User Guide.

Landsat 8 OLI NOTE: Bits 3 and 6-9 are “Reserved” for future use in the OLI Quality Band.  L-LDOPE will generate output files for those bits, but they do not contain valid data.

The L-LDOPE Toolbelt can be downloaded as a zip file that contains the executables compiled for Linux 32-Bit, Linux 64-Bit, Windows 32-Bit, and Windows 64-Bit systems, accompanied by the source code and a readme file. Each command can be run directly by typing the executable name and its parameters from the tools directory. Specific instructions are available in the L-LDOPE Toolbelt User Guide.

No distribution or re-use constraints associated with this software exist. Users and developers using or modifying this software should credit the original authorship for these tools. Please acknowledge the use of these tools, including use of significant code fragments taken from the source code, with a sentence such as "Software tools provided by the MODIS land quality assessment group (Roy et al. 2002)".

Roy, D.P., Borak, J.S., Devadiga, S., Wolfe, R.E., Zheng, M., Descloitres, J., 2002, The MODIS Land Product Quality Assessment Approach, Remote Sensing of Environment, 83, 62-76.

Additionally, a user experience with these tools is described in Landsat Surface Reflectance Quality Assurance Extraction (Version 1.7) (J. Jones et al, 2013).

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Landsat represents the world's longest continuously acquired collection of space-based moderate-resolution land remote sensing data. Four decades of imagery provides a unique resource for those who work in agriculture, geology, forestry, regional planning, education, mapping, and global change research. Landsat images are also invaluable for emergency response and disaster relief.


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