About Validation-Comparison of Burned Area Products
نویسندگان
چکیده
منابع مشابه
Validation of the Two Standard MODIS Satellite Burned-Area Products and an Empirically-Derived Merged Product in South Africa
The 500-m Moderate Resolution Imaging Spectroradiometer (MODIS) burned area products, MCD45A1, MCD64A1, and a merged product were validated across six study sites in South Africa using independently-derived Landsat burned-area reference data during the fire season of 2007. The objectives of this study were to: (i) investigate the likelihood of the improved detection of small burns through an em...
متن کاملGlobal estimation of burned area
Global estimation of burned area using MODIS active fire observations L. Giglio, G. R. van der Werf, J. T. Randerson, G. J. Collatz, and P. Kasibhatla Science Systems and Applications, Inc., NASA Goddard Space Flight Center, Greenbelt, Maryland, USA Department of Hydrology and Geo-Environmental Sciences, Vrije Universiteit, Amsterdam, The Netherlands Department of Earth System Science, Universi...
متن کاملAssessing the Temporal Stability of the Accuracy of a Time Series of Burned Area Products
Temporal stability, defined as the change of accuracy through time, is one of the validation aspects required by the Committee on Earth Observation Satellites’ Land Product Validation Subgroup. Temporal stability was evaluated for three burned area products: MCD64, Globcarbon, and fire_cci. Traditional accuracy measures, such as overall accuracy and omission and commission error ratios, were co...
متن کاملAssessing variability and long-term trends in burned area by merging multiple satellite fire products
Long term, high quality estimates of burned area are needed for improving both prognostic and diagnostic fire emissions models and for assessing feedbacks between fire and the climate system. We developed global, monthly burned area estimates aggregated to 0.5 spatial resolution for the time period July 1996 through mid-2009 using four satellite data sets. From 2001–2009, our primary data sourc...
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2020
ISSN: 2072-4292
DOI: 10.3390/rs12233972