Prototyping a global algorithm for systematic fire-affected area mapping using MODIS time series data

摘要: The remote sensing of Earth surface changes is an active research field aimed at the development methods and data products needed by scientists, resource managers, policymakers. Fire a major cause change occurs in most vegetation zones across world. identification delineation fire-affected areas, also known as burned areas or fire scars, may be considered detection problem. Remote algorithms developed to map are difficult implement reliably over large because variations both state those imposed system. availability robustly calibrated, atmospherically corrected, cloud-screened, geolocated provided latest generation moderate resolution systems allows for advances satellite mapping area. This paper describes algorithm global scale using Moderate Resolution Imaging Spectroradiometer (MODIS) reflectance time series data. from recently published Bi-Directional Reflectance Model-Based Expectation approach maps 500 m location approximate day burning. Improvements made systematic implementation presented performance demonstrated southern African, Australian, South American, Boreal regimes. does not use training but rather applies wavelength independent threshold spectral constraints defined noise characteristics knowledge behavior spectrally confusing that associated with Temporal applied capitalizing on persistence areas. Differences between mapped cumulative MODIS detections illustrated discussed each regime. results reveal coherent spatio-temporal area indicate shows potential application.