Validation of active forest fires detected by MSG‐SEVIRI by means of MODIS hot spots and AWiFS images-Reference-Cited by-同舟云学术

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Validation of active forest fires detected by MSG‐SEVIRI by means of MODIS hot spots and AWiFS images

Published:2008-05-17 Issue:12 Volume:29 Page:3407-3415
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Calle A.¹,González‐Alonso F.²,Merino de Miguel S.³

Affiliation:

1. a Remote Sensing Laboratory , University of Valladolid , Dp. Applied Physics , Faculty of Sciences , 47071‐Valladolid , Spain

2. b Remote Sensing Laboratory , INIA , Ministry of Education and Science , Crta. ha Coruña , km. 7.5, 28040 Madrid , Spain

3. c EUIT Forestal , Universidad Politécnica de Madrid , Avda. de Ramiro de Maeztu s/n , 28040 Madrid , Spain

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431160701596164

Reference19 articles.

1. Fire detection and monitoring using MSG Spinning Enhanced Visible and Infrared Imager (SEVIRI) data

2. Rapid response for cloud monitoring through Meteosat VIS‐IR and NOAA–A/TOVS image fusion: civil aviation application. A first approach to MSG‐SEVIRI

3. Biomass burning as a source of atmospheric gases CO, H2, N2O, NO, CH3Cl and COS

4. An Enhanced Contextual Fire Detection Algorithm for MODIS

5. Global estimation of burned area using MODIS active fire observations

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1. First Implementation of a Normalized Hotspot Index on Himawari-8 and GOES-R Data for the Active Volcanoes Monitoring: Results and Future Developments;Remote Sensing;2022-10-31

2. Intercomparison of Himawari-8 AHI-FSA with MODIS and VIIRS active fire products;International Journal of Digital Earth;2018-09-27

3. Implementation of a new algorithm resulting in improvements in accuracy and resolution of SEVIRI hotspot products;Remote Sensing Letters;2018-07-05

4. A Spatio-Temporal Model for Forest Fire Detection Using HJ-IRS Satellite Data;Remote Sensing;2016-05-11

5. Finding a needle by removing the haystack: A spatio-temporal normalization method for geophysical data;Computers & Geosciences;2016-05

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