Global validation of the collection 6 MODIS burned area product
نویسندگان
چکیده
منابع مشابه
Global estimation of burned area using MODIS active fire observations
We present a method for estimating monthly burned area globally at 1 spatial resolution using Terra MODIS data and ancillary vegetation cover information. Using regression trees constructed for 14 different global regions, MODIS active fire observations were calibrated to burned area estimates derived from 500-m MODIS imagery based on the assumption that burned area is proportional to counts of...
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The aim of this paper is to assess the latest version of the MODIS LAI/FPAR product (MOD15A2H), namely Collection 6 (C6). We comprehensively evaluate this product through three approaches: validation with field measurements, intercomparison with other LAI/FPAR products and comparison with climate variables. Comparisons between ground measurements and C6, as well as C5 LAI/FPAR indicate: (1) MOD...
متن کاملValidation 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 کاملDeveloping a Random Forest Algorithm for MODIS Global Burned Area Classification
This paper aims to develop a global burned area (BA) algorithm for MODIS BRDF-corrected images based on the Random Forest (RF) classifier. Two RF models were generated, including: (1) all MODIS reflective bands; and (2) only the red (R) and near infrared (NIR) bands. Active fire information, vegetation indices and auxiliary variables were taken into account as well. Both RF models were trained ...
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ژورنال
عنوان ژورنال: Remote Sensing of Environment
سال: 2019
ISSN: 0034-4257
DOI: 10.1016/j.rse.2019.111490