Community Satellite Processing Package from Direct Broadcast: Providing real-time Satellite Data to every corner of the world

Huang, Allen; Gumley, Liam E.; Strabala, Kathleen I.; Mindock, Scott; Garcia, Ray; Martin, G.; Cureton, Geoff; Davies, James E.; Bearson, Nick; Braum, Jessica; Cintineo, Rebecca M.; Rogal, M. J.; Goldberg, Mitch

doi:10.1109/igarss.2016.7730443

Cited by 7 publications

(6 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…All available VIIRS I-band images from 2020 at SDR (Science Data Record) level were processed for further analysis. m) at Science Data Record (SDR) level were the main input data, as required by the global product algorithm [58]. Maps of burned areas, peatlands, and field data were used to evaluate the proposed clustered hotspots (cluster-HS).…”

Section: Methodsmentioning

confidence: 99%

“…Figure 3 shows a flowchart of the clustering method, along with an illustration; the following paragraphs explain each part of the method. at Science Data Record (SDR) level were the main input data, as required by the global product algorithm [58]. Maps of burned areas, peatlands, and field data were used to evaluate the proposed clustered hotspots (cluster-HS).…”

Section: Hotspot Clustering Methodsmentioning

confidence: 99%

“…The processing of VIIRS data utilizes the Community Satellite Processing Package (CSPP), a data processing software developed by the University of Wisconsin. This software can process data through various stages, from raw data records to active fires, using separate processing modules [58]. Furthermore, to enable automatic integration, it is necessary to develop a system that connects these processing modules [59].…”

Section: Viirs Data Product Descriptionmentioning

confidence: 99%

“…We used the VIIRS active fire global product algorithm (see [56] for more details), which can be ran using VIIRS AF Software Version 1.1.1. from the CSPP (Community Satellite Processing Package) [33,58,60]. Input data were obtained from the Parepare ground station, which was previously managed by the Indonesian National Institute of Aeronautics and Space (LAPAN) (currently merged into the National Research and Innovation Agency).…”

Section: Viirs Data Product Descriptionmentioning

confidence: 99%

“…Research design. Visible Infrared Imaging Radiometer Suite (VIIRS) I-band images (375 m) at Science Data Record (SDR) level were the main input data, as required by the global product algorithm[58]. Maps of burned areas, peatlands, and field data were used to evaluate the proposed clustered hotspots (cluster-HS).…”

mentioning

confidence: 99%

See 4 more Smart Citations

Enhancing Fire Monitoring Method over Peatlands and Non-Peatlands in Indonesia Using Visible Infrared Imaging Radiometer Suite Data

Indradjad,

Dimyati,

Vetrita

et al. 2023

Fire

View full text Add to dashboard Cite

Indonesia needs a daily monitoring system due to its frequent fires and, more importantly, to assist stakeholders in the field in taking action to mitigate disasters. Our method simplified the number of hotspots for field-based purposes and was verified by comparing the point-based (point-HS) VIIRS (Visible Infrared Imaging Radiometer Suite) 375m-derived temperature anomalies (hotspots) and clustered-based hotspots (cluster-HS, our suggested method). Using Euclidean clustering, we calculated the distance between hotspot points and applied specific criteria to reduce the number of hotspots while aligning them closely with fire incidents. We evaluated accuracy at different fire sizes, burned areas, peatlands, and distances from the reported burn center. We found that the accuracy increases at 1.5 km from the center of the fire for both point- and cluster-HS at 52% and 53%, respectively. For areas larger than 14 ha, both types of hotspots yielded superior results of 83%. Cluster-HS performs better on peatlands than non-peatlands (62% vs. 57%). Without diminishing the precision of the hotspot observation, this study indicates that our method is reliable for assisting field stakeholders in the field in taking actions. Therefore, this product could be implemented into Indonesia’s daily hotspot monitoring.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Hotspot Clustering Methodsmentioning

confidence: 99%

Section: Viirs Data Product Descriptionmentioning

confidence: 99%