MODIS Brightness Temperature Change-Based Forest Fire Monitoring
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development
Link
http://link.springer.com/content/pdf/10.1007/s12524-019-01071-w.pdf
Reference13 articles.
1. Abdollahi, M., Islam, T., Gupta, A., & Hassan, Q. (2018). An advanced forest fire danger forecasting system: Integration of remote sensing and historical sources of ignition data. Remote Sensing,10(6), 923. https://doi.org/10.3390/rs10060923.
2. Ardakani, A. S., Zoej, M. J. V., Mohammadzadeh, A., & Mansourian, A. (2011). Spatial and temporal analysis of fires detected by MODIS data in Northern Iran from 2001 to 2008. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,4(1), 216–225. https://doi.org/10.1109/JSTARS.2010.2088111.
3. Cheng, D., Rogan, J., Schneider, L., & Cochrane, M. (2013). Evaluating MODIS active fire products in subtropical Yucatán forest. Remote Sensing Letters,4(5), 455–464. https://doi.org/10.1080/2150704X.2012.749360.
4. Chuvieco, E., Giglio, L., & Justice, C. (2008). Global characterization of fire activity: Toward defining fire regimes from Earth observation data. Global Change Biology,14(7), 1488–1502. https://doi.org/10.1111/j.1365-2486.2008.01585.x.
5. Fornacca, D., Ren, G., & Xiao, W. (2017). Performance of three MODIS fire products (MCD45A1, MCD64A1, MCD14ML), and ESA Fire_CCI in a mountainous area of Northwest Yunnan, China, characterized by frequent small fires. Remote Sensing,9(11), 1131. https://doi.org/10.3390/rs9111131.
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