Fire has a diverse range of impacts on Earth's physical and social systems. Accurate and up
to date information on areas affected by fire is critical to better understand drivers of fire …

Wildland fires dramatically affect forest ecosystems, altering the loss of their biodiversity and
their sustainability. In addition, they have a strong impact on the global carbon balance and …

A new algorithm for Continuous Change Detection and Classification (CCDC) of land cover
using all available Landsat data is developed. It is capable of detecting many kinds of land …

We introduce and test LandTrendr (Landsat-based detection of Trends in Disturbance and
Recovery), a new approach to extract spectral trajectories of land surface change from …

Timely and accurate change detection of Earth's surface features is extremely important for
understanding relationships and interactions between human and natural phenomena in …

A new change detection algorithm for continuous monitoring of forest disturbance at high
temporal frequency is developed. Using all available Landsat 7 images in two years, time …

Space and airborne sensors have been used to map area burned, assess characteristics of
active fires, and characterize post-fire ecological effects. Confusion about fire intensity, fire …

Remote sensing allows for cost-and time-efficient monitoring of landscapes vital to the
conservation of natural resources, ecosystems, and biodiversity. This review synthesizes …

The full realization of the potential of remote sensing as a source of environmental
information requires an ability to generalize in space and time. Here, the ability to generalize …

A multi-resolution analysis (MRA) based on the wavelet transform (WT) has been
implemented to study NDVI time series. These series, which are non-stationary and present …