.png){kind=icon}
返回
Active fire detection using Landsat-8/OLI data
.png){kind=icon}
OA
AI
DOI：10.1016/j.rse.2015.08.032.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The gradual increase in Landsat-class data availability creates new opportunities for fire science and management applications that require higher-fidelity information about biomass burning, improving upon existing coarser spatial resolution (>= 1 km) satellite active fire data sets. Targeting those enhanced capabilities we describe an active fire detection algorithm for use with Landsat-8 Operational Land Imager (OLI) daytime and nighttime data. The approach builds on the fire-sensitive short-wave infrared channel 7 complemented by visible and near-infrared channel 1-6 data (daytime only), while also expanding on the use of multi-temporal analysis to improve pixel classification results. Despite frequent saturation of OLI's fire-affected pixels, which includes radiometric artifacts resulting from folding of digital numbers, our initial assessment based on visual image analysis indicated high algorithm fidelity across a wide range of biomass burning scenarios, gas flares and active volcanoes. Additional field data verification confirmed the sensor's and algorithm's ability to resolve fires of significantly small areas compared to current operational satellite fire products. Commission errors were greatly reduced with the addition of multi-temporal analysis tests applied toco-located pixels, averaging less than 0.2% globally. Because of its overall quality, Landsat-8/OLI active fire data could become part of a network of emerging earth observation systems providing enhanced spatial and temporal coverage of biomass burning at global scales. (C) 2015 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license.
Keyword:
WILDLAND-URBAN INTERFACE
ETM PLUS
PRODUCT
VALIDATION
ALGORITHM
EMISSIONS
ASTER
EXAMPLE
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
11.4
论文数:
1.1W
被引数:
9.4W
机构
引用论文
Au(i)-, Ag(i)-, and Pd(ii)-coordination-driven diverse self-assembly of an N-heterocyclic carbene-based amphiphile.png)
RSC AdvancesOAAI
RSC AdvancesIF0
OAAI分享收藏Active fire detection and characterization with the advanced spaceborne thermal emission and reflection radiometer (ASTER)使用先进的星载热发射和反射辐射计 (ASTER) 进行主动火灾检测和表征
PREAI
分享收藏分享收藏Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power根据观测到的火辐射功率，使用全球火同化系统估算生物质燃烧排放量BIOGEOSCIENCESOAAI
BIOGEOSCIENCESIF3.9
OAAI分享收藏Global characterization of biomass-burning patterns using satellite measurements of fire radiative energy使用卫星测量的火辐射能对生物质燃烧模式进行全球表征
PREAI
分享收藏
查看更多内容