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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Prototyping a global algorithm for systematic fire-affected area mapping using MODIS time series data
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Prototyping a global algorithm for systematic fire-affected area mapping using MODIS time series data

机译：使用MODIS时间序列数据为系统化受火区域映射建立全局算法的原型

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The remote sensing of Earth surface changes is an active research field aimed at the development of methods and data products needed by scientists, resource managers, and policymakers. Fire is a major cause of surface change and occurs in most vegetation zones across the world. The identification and delineation of fire-affected areas, also known as burned areas or fire scars, may be considered a change detection problem. Remote sensing algorithms developed to map fire-affected areas are difficult to implement reliably over large areas because of variations in both the surface state and those imposed by the sensing system. The availability of robustly calibrated, atmospherically corrected, cloud-screened, geolocated data provided by the latest generation of moderate resolution remote sensing systems allows for major advances in satellite mapping of fire-affected area. This paper describes an algorithm developed to map fire-affected areas at a global scale using Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance time series data. The algorithm is developed from the recently published Bi-Directional Reflectance Model-Based Expectation change detection approach and maps at 500 in the location and approximate day of burning. Improvements made to the algorithm for systematic global implementation are presented and the algorithm performance is demonstrated for southern African, Australian, South American, and Boreal fire regimes. The algorithm does not use training data but rather applies a wavelength independent threshold and spectral constraints defined by the noise characteristics of the reflectance data and knowledge of the spectral behavior of burned vegetation and spectrally confusing changes that are not associated with burning. Temporal constraints are applied capitalizing on the spectral persistence of fire-affected areas. Differences between mapped fire-affected areas and cumulative MODIS active fire detections are illustrated and discussed for each fire regime. The results reveal a coherent spatio-temporal mapping of fire-affected area and indicate that the algorithm shows potential for global application. (C) 2005 Elsevier Inc. All rights reserved.
机译：地球表面变化的遥感是一个活跃的研究领域，旨在开发科学家，资源经理和政策制定者所需的方法和数据产品。火是表面变化的主要原因，并且在世界上大多数植被区中都发生。火灾影响区域（也称为燃烧区域或火伤痕迹）的识别和划定可被视为变化检测问题。由于表面状态和传感系统所施加的变化，开发用于绘制受灾区域的地图的遥感算法很难在大面积上可靠地实现。由最新一代的中分辨率遥感系统提供的经过严格校准，经过大气校正，经过云屏蔽的地理位置数据的可用性使受灾地区的卫星测绘取得了重大进展。本文介绍了一种算法，该算法使用中分辨率成像光谱仪（MODIS）表面反射时间序列数据在全球范围内绘制受灾区域的地图。该算法是根据最近发布的基于双向反射模型的期望变化检测方法开发的，并在燃烧的位置和大约一天中以500映射。提出了对系统全局实施算法的改进，并证明了该算法在南部非洲，澳大利亚，南美和北方火灾地区的性能。该算法不使用训练数据，而是应用与波长无关的阈值和光谱约束，该阈值和光谱约束由反射率数据的噪声特征以及所燃烧植被的光谱行为和与燃烧无关的光谱混乱知识所定义。利用受火灾影响地区的光谱持久性来施加时间限制。针对每种火灾情况，说明并讨论了映射的受灾区域与累积MODIS主动火灾检测之间的差异。结果表明，受火灾地区的时空分布是连贯的，表明该算法具有全球应用潜力。 （C）2005 Elsevier Inc.保留所有权利。

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