Characterizing forest disturbance and recovery with thermal trajectories derived from Landsat time series data
The increasing frequency of forest disturbances caused by climate change has highlighted
the importance of understanding the entire process of disturbance, from its onset to forest …
the importance of understanding the entire process of disturbance, from its onset to forest …
On the performance of remote sensing time series reconstruction methods–A spatial comparison
Abstract The satellite observed Normalized Difference Vegetation Index (NDVI) time series,
which describe the temporal and spatial variability of global terrestrial vegetation, are …
which describe the temporal and spatial variability of global terrestrial vegetation, are …
[HTML][HTML] Combining multi-spectral and thermal remote sensing to predict forest fire characteristics
Forest fires preparedness strategies require the assessment of spatial and temporal
variability of fire danger. While several tools have been developed to predict fire occurrence …
variability of fire danger. While several tools have been developed to predict fire occurrence …
Predicting forest fire using multispectral satellite measurements in Nepal
A Qadir, NR Talukdar, MM Uddin, F Ahmad… - Remote Sensing …, 2021 - Elsevier
The present study examined the geospatial datasets concerning fire points, topography,
vegetation types, tree cover percent, ecological zone, and climate to understand the …
vegetation types, tree cover percent, ecological zone, and climate to understand the …
[HTML][HTML] Predicting forest fires burned area and rate of spread from pre-fire multispectral satellite measurements
Operational forest fire danger rating systems rely on the recent evolution of meteorological
variables to estimate dead fuel condition. Further combining the latter with meteorological …
variables to estimate dead fuel condition. Further combining the latter with meteorological …
Optimal estimate of global biome—specific parameter settings to reconstruct NDVI time series with the harmonic analysis of time series (HANTS) method
Terrestrial remote sensing data products retrieved from radiometric measurements in the
optical and thermal infrared spectrum such as vegetation spectral indices can be heavily …
optical and thermal infrared spectrum such as vegetation spectral indices can be heavily …
Relating spatiotemporal patterns of forest fires burned area and duration to diurnal land surface temperature anomalies
Forest fires are a major source of ecosystem disturbance. Vegetation reacts to
meteorological factors contributing to fire danger by reducing stomatal conductance, thus …
meteorological factors contributing to fire danger by reducing stomatal conductance, thus …
Comparison of harmonic analysis of time series (HANTS) and multi-singular spectrum analysis (M-SSA) in reconstruction of long-gap missing data in NDVI time series
Monitoring vegetation changes over time is very important in dry areas such as Iran, given its
pronounced drought-prone agricultural system. Vegetation indices derived from remotely …
pronounced drought-prone agricultural system. Vegetation indices derived from remotely …
Impact of Multitemporal Land Use and Land Cover Change on Land Surface Temperature Due to Urbanization in Hefei City, China
J Sun, S Ongsomwang - ISPRS International Journal of Geo-Information, 2021 - mdpi.com
Land surface temperature (LST) is an essential parameter in the climate system whose
dynamics indicate climate change. This study aimed to assess the impact of multitemporal …
dynamics indicate climate change. This study aimed to assess the impact of multitemporal …
[HTML][HTML] Reconstructing daytime and nighttime MODIS land surface temperature in desert areas using multi-channel singular spectrum analysis
The availability of continuous spatiotemporal land surface temperature (LST) with high
resolution is critical for many disciplines including hydrology, meteorology, ecology, and …
resolution is critical for many disciplines including hydrology, meteorology, ecology, and …