dmsp-ssm 1.0.1

Python library for parsing DMSP SSM binary files.

dmsp-ssm

dmsp-ssm is a Python library for reading, validating, and converting DMSP SSM binary data files.

The package accepts single .dat files, gzip-compressed .gz files, and directories of supported files. It returns a ParseResult with parsed records and a validation report. The default output is an xarray.Dataset.

Installation

pip install dmsp-ssm

For local development:

pip install -e .[dev]

Quick Start

from dmsp_ssm import Reader

reader = Reader()
result = reader.parse("path/to/file_or_directory")

dataset = result.records
report = result.report

print(dataset)
print(report.summary)

Output Profiles

Select an output profile with ParseOptions:

from dmsp_ssm import ParseOptions, Reader

reader = Reader()
result = reader.parse(
    "path/to/data",
    options=ParseOptions(output_profile="xarray"),
)

Supported profiles:

• xarray: returns an xarray.Dataset with record and second dimensions.
• numpy: returns a dict[str, numpy.ndarray].
• table: returns long-format trace rows as list[dict[str, object]].

xarray Output

The default xarray profile contains:

• dimensions: record, second
• coordinates: record_time, second_index
• second-level variables: time, bx, by, bz, valid
• record-level variables: flight_number, year, day_of_year, minute_start_sec_of_day, latitude_deg, longitude_deg, altitude_km

Data variables include units attributes when units are defined by the internal format definition.

Missing second-level measurements are detected by the time == -1000.0 marker. For those positions, time, bx, by, and bz are normalized to NaN, and valid is set to False.

Validation Report

ParseResult.report contains validation status, incidents, and summary counters:

result = Reader().parse("path/to/data")

print(result.report.status)
print(result.report.outcome)
print(result.report.summary)

To include compact missing-minute ranges:

result = Reader().parse(
    "path/to/data",
    include_missing_minute_ranges=True,
)

For directory inputs, the summary can also include per-file missing-minute diagnostics in missing_minute_ranges_by_file.

API Overview

Reader

Reader(
    error_policy="resync",
    pre_parse_size_warning_threshold_bytes=256 * 1024 * 1024,
)

Use Reader.parse(path, ...) to parse a file or directory.

ParseOptions

ParseOptions(
    recursive=True,
    error_policy=None,
    include_missing_minute_ranges=False,
    output_profile="xarray",
)

output_profile must be one of xarray, numpy, or table.

ParseResult

ParseResult.records contains the selected output artifact.

ParseResult.report contains validation diagnostics.

ParseResult.metadata and ParseResult.extensions are reserved for optional metadata.

Supported Input

• .dat files
• .gz files containing DMSP SSM binary data
• directories containing only one supported file type
• recursive directory traversal when recursive=True

Directories containing mixed .dat and .gz files are rejected.

License

This project is licensed under the MIT License.