New GOES imager algorithms for cloud and active fire detection and fire radiative power assessment across North, South and Central America-Reference-Cited by-同舟云学术

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New GOES imager algorithms for cloud and active fire detection and fire radiative power assessment across North, South and Central America

Published:2010-09 Issue:9 Volume:114 Page:1876-1895
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Xu W.,Wooster M.J.,Roberts G.,Freeborn P.

Funder

National Centre for Earth Observation

Seventh Framework Programme

Natural Environment Research Council

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference58 articles.

1. Discriminating clear sky from clouds with MODIS;Ackerman;Journal of Geophysical Research,1998

2. Intra-diurnal and seasonal variability of soil temperature, heat flux, soil moisture content, and thermal properties under forest and pasture in Rondônia;Alvalá;Journal of Geophysical Research,2002

3. Fire in the earth system;Bowman;Science,2009

4. Fire detection and monitoring using MSG Spinning Enhanced Visible and Infrared Imager (SEVIRI) data;Calle;Journal of Geophysical Research,2006

5. Wildfire temperature and land cover modeling using hyperspectral data;Dennison;Remote Sensing of Environment,2006

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