Formal planning and development of what became the first Landsat satellite commenced
over 50 years ago in 1967. Now, having collected earth observation data for well over four …

This paper reviews the current status and development of remote sensing methods for
monitoring rangeland condition. Remote sensing offers ideal solutions for assessing …

Application of the benefits of modern computing technology to improve the efficiency of
agricultural fields is inevitable with growing concerns about increasing world population and …

Several forest change detection algorithms are available for tracking and quantifying
deforestation based on dense Landsat and Sentinel time series satellite data. Only few also …

Seasonally continuous long-term information on surface water and flooding extent over
subcontinental scales is critical for quantifying spatiotemporal changes in surface water …

The global challenge of understanding and forecasting ecosystem responses to climate
extremes and climate change is addressed in this review of research enabled through …

Understanding vegetation recovery after drought is critical for projecting vegetation
dynamics in future climates. From 1997 to 2009, Australia experienced a long‐lasting …

Dryland degradation is an issue of international significance as dryland regions play a
substantial role in global food production. Remotely sensed data provide the only long term …

Monitoring phenology of agricultural plants is a critical understanding in precision
agriculture. Vital improvements can be achieved with precise detection of phenological …

Optical remotely sensed data are typically discontinuous, with missing values due to cloud
cover. Consequently, gap-filling solutions are needed for accurate crop phenology …