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Assessment of different topographic corrections in Landsat-TM data for mapping vegetation types (2003)
TLDR
Different methods for topographic correction of Landsat Thematic Mapper images have been assessed in the context of mapping vegetation types. Expand
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Estimation of fuel moisture content from multitemporal analysis of Landsat Thematic Mapper reflectance data: Applications in fire danger assessment
The objective of this paper was to define indices based on reflectance measurements performed by the Landsat Thematic Mapper (TM) sensor for estimating water content of live Mediterranean fuels forExpand
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Development of a framework for fire risk assessment using remote sensing and geographic information system technologies
Forest fires play a critical role in landscape transformation, vegetation succession, soil degradation and air quality. Improvements in fire risk estimation are vital to reduce the negative impactsExpand
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Air temperature estimation with MSG-SEVIRI data: Calibration and validation of the TVX algorithm for the Iberian Peninsula
Abstract Air temperature can be estimated from remote sensing by combining information in thermal infrared and optical wavelengths. The empirical TVX algorithm is based on an estimated linearExpand
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Estimation of dry matter content in leaves using normalized indexes and PROSPECT model inversion
This work applies remote sensing techniques to estimate dry matter (DM) content in tree leaves. Two methods were used to estimate DM content: a normalized index obtained from the radiative transferExpand
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Conversion of fuel moisture content values to ignition potential for integrated fire danger assessment
Fuel moisture content (FMC) estimation is a critical part of any fire danger rating system, since fuel water status is determinant in fire ignition and fire propagation. However, FMC alone does notExpand
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Integrating geospatial information into fire risk assessment
Fire risk assessment should take into account the most relevant components associated to fire occurrence. To estimate when and where the fire will produce undesired effects, we need to model both (a)Expand
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Estimation of dead fuel moisture content from meteorological data in Mediterranean areas. Applications in fire danger assessment
The estimation of moisture content of dead fuels is a critical variable in fire danger assessment since it is strongly related to fire ignition and fire spread potential. This study evaluates theExpand
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Design of an empirical index to estimate fuel moisture content from NOAA-AVHRR images in forest fire danger studies.
An empirical estimation of live fuel moisture content (FMC) was generated from National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) derivedExpand
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Dead fuel moisture estimation with MSG-SEVIRI data. Retrieval of meteorological data for the calculation of the equilibrium moisture content
In this study we propose to use remote sensing data to estimate hourly meteorological data and then assess the moisture content of dead fuels. Three different models to estimate the equilibriumExpand
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