Satellite Fire Detections - MODIS

MODIS (or Moderate Resolution Imaging Spectroradiometer) is a key instrument aboard the Terra (originally known as EOS AM-1) and Aqua (originally known as EOS PM-1) satellites. Terra's orbit around the Earth is timed so that it passes from north to south across the equator in the morning, while Aqua passes south to north over the equator in the afternoon. Terra MODIS and Aqua MODIS are viewing the entire Earth's surface every 1 to 2 days, acquiring data in 36 spectral bands, or groups of wavelengths (see MODIS Technical Specifications). These data will improve our understanding of global dynamics and processes occurring on the land, in the oceans, and in the lower atmosphere. MODIS is playing a vital role in the development of validated, global, interactive Earth system models able to predict global change accurately enough to assist policy makers in making sound decisions concerning the protection of our environment.

Data and Resources

Additional Info

Field Value
Last Updated April 22, 2026, 16:02 (UTC)
Created April 21, 2026, 18:00 (UTC)
accessRights <p>Public</p>
creationMethod <p>JupyterNotebook in Github Repository containing parameters for sourcing data from MODIS to use in satellite constellation.&nbsp;</p>
creatorEmail ralrawaf@ucsd.edu
creatorName Rawaf Al Rawaf
dataAuthType public
dataType JSON, CSV, Shapefile zip
docsURL https://github.com/rarconaut/SCIL-Fire-Sat-Detections
inputFormat NA
issueDate 2026-04-20
lastUpdateDate 2026-04-20
ndp_creator_md5 180c8e777db80adc048795c71bce8c40
outputFormat NA
pocEmail ralrawaf@ucsd.edu
pocName Rawaf Al Rawaf
publisherEmail
publisherName
purpose
readmeUrl https://github.com/rarconaut/SCIL-Fire-Sat-Detections
serviceAccessMethod https://github.com/rarconaut/SCIL-Fire-Sat-Detections/blob/main/Firemap_modis.ipynb
serviceDesc <p>These IPython notebooks allow users to view and download satellite heat detections from the SCIL Lab's WIFIRE Firemap Geoserver API. The user must select one of the satellite source notebooks (VIIRS, MODIS, OR GOES) and then specify a coordinate bounding box, start datetime, and end datetime. Executing the entire IPYNB notebook returns a JSON and downloads JSON, CSV, and/or zipped Shapefile of the features, including the geographic coordinates and timestamps for fire hotspot detections corresponding to the user-defined parameters.</p><p><br></p><p>IMPORTANT:</p><p><br></p><p>The first available VIIRS detection starts from 2016-08-11T09:20:00Z.</p><p>The first available MODIS detection starts from 2017-05-20T21:35:00Z.</p><p>The first available GOES detection starts from 2021-01-20T18:00:25Z, with the majority of coverage in southern California and Arizona.</p><p>Data and Resources Satellite Detections Retrieval - IPython Notebooks</p><p><br></p><p>Satellite Detections Retrieval - GitHub Repository: <a href="https://github.com/rarconaut/SCIL-Fire-Sat-Detections" rel="noopener noreferrer" target="_blank">https://github.com/rarconaut/SCIL-Fire-Sat-Detections</a></p>
serviceInst <p>Instructions available at Satellite Detections Retrieval - GitHub Repository: <a href="https://github.com/rarconaut/SCIL-Fire-Sat-Detections" rel="noopener noreferrer" target="_blank" style="background-color: rgb(255, 255, 255);">https://github.com/rarconaut/SCIL-Fire-Sat-Detections</a></p>
status submitted
theme []
uploadType service