RT info:eu-repo/semantics/article
T1 MODIS Sensor Capability to Burned Area Mapping¿Assessment of Performance and Improvements Provided by the Latest Standard Products in Boreal Regions
A1 Arbelo Pérez, Manuel Imeldo
A1 Moreno-Ruiz, José A.
A1 García Lázaro, José Rafael
A1 Cantón-Garbín, Manuel
A2 Física
K1 remote sensing
K1 burned area
K1 wildfire
K1 MODIS
K1 MCD45A1
K1 MCD64A1
K1 fire_CCI
K1 pareto boundary
AB This paper presents an accuracy assessment of the main global scale Burned Area (BA) products, derived from daily images of the Moderate-Resolution Imaging Spectroradiometer (MODIS) Fire_CCI 5.1 and MCD64A1 C6, as well as the previous versions of both products (Fire_CCI 4.1 and MCD45A1C5). Theexercise was conducted on the boreal region of Alaska during the period 2000–2017. All the BA polygons registered by the Alaska Fire Service were used as reference data. Both new versions doubled the annual BA estimate compared to the previous versions (66% for Fire_CCI 5.1 versus 35%for v4.1, and 63%forMCD64A1C6versus28%forC5),reducingtheomission error (OE) by almost one half (39% versus 67% for Fire_CCI and 48% versus 74% for MCD) and slightly increasing the commission error (CE) (7.5% versus 7% for Fire_CCI and 18% versus 7% for MCD). The Fire_CCI 5.1 product (CE = 7.5%, OE = 39%) presented the best results in terms of positional accuracy with respect to MCD64A1 C6 (CE = 18%, OE = 48%). These results suggest that Fire_CCI 5.1 could be suitable for those users who employ BA standard products in geoinformatics analysis techniques for wildfire management, especially in Boreal regions. The Pareto boundary analysis, performed on an annual basis, showed that there is still a potential theoretical capacity to improve the MODIS sensor-based BA algorithms.
YR 2020
FD 2020
LK http://riull.ull.es/xmlui/handle/915/36917
UL http://riull.ull.es/xmlui/handle/915/36917
LA en
NO https://doi.org/10.3390/s20185423
DS Repositorio institucional de la Universidad de La Laguna
RD 19-may-2024