Optical vegetation indices for monitoring terrestrial ecosystems globally
Vegetation indices (VIs), which describe remotely sensed vegetation properties such as
photosynthetic activity and canopy structure, are widely used to study vegetation dynamics …
photosynthetic activity and canopy structure, are widely used to study vegetation dynamics …
Satellite remote sensing of global land surface temperature: Definition, methods, products, and applications
Land surface temperature (LST) is a crucial parameter that reflects land–atmosphere
interaction and has thus attracted wide interest from geoscientists. Owing to the rapid …
interaction and has thus attracted wide interest from geoscientists. Owing to the rapid …
Food security
The current food system (production, transport, processing, packaging, storage, retail,
consumption, loss and waste) feeds the great majority of world population and supports the …
consumption, loss and waste) feeds the great majority of world population and supports the …
A review of global precipitation data sets: Data sources, estimation, and intercomparisons
In this paper, we present a comprehensive review of the data sources and estimation
methods of 30 currently available global precipitation data sets, including gauge‐based …
methods of 30 currently available global precipitation data sets, including gauge‐based …
Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future
Satellite based remote sensing offers one of the few approaches able to monitor the spatial
and temporal development of regional to continental scale droughts. A unique element of …
and temporal development of regional to continental scale droughts. A unique element of …
Remote sensing for drought monitoring & impact assessment: Progress, past challenges and future opportunities
Drought is a common hydrometeorological phenomenon and a pervasive global hazard. As
our climate changes, it is likely that drought events will become more intense and frequent …
our climate changes, it is likely that drought events will become more intense and frequent …
How can Big Data and machine learning benefit environment and water management: a survey of methods, applications, and future directions
AY Sun, BR Scanlon - Environmental Research Letters, 2019 - iopscience.iop.org
Big Data and machine learning (ML) technologies have the potential to impact many facets
of environment and water management (EWM). Big Data are information assets …
of environment and water management (EWM). Big Data are information assets …
Droughts in East Africa: Causes, impacts and resilience
East Africa (EA) has been the primary focus for various drought studies in recent years.
However, a comprehensive analysis of droughts, including their evolution, complexity, social …
However, a comprehensive analysis of droughts, including their evolution, complexity, social …
Seasonal drought prediction: Advances, challenges, and future prospects
Drought prediction is of critical importance to early warning for drought managements. This
review provides a synthesis of drought prediction based on statistical, dynamical, and hybrid …
review provides a synthesis of drought prediction based on statistical, dynamical, and hybrid …
A review of spatial downscaling of satellite remotely sensed soil moisture
Satellite remote sensing technology has been widely used to estimate surface soil moisture.
Numerous efforts have been devoted to develop global soil moisture products. However …
Numerous efforts have been devoted to develop global soil moisture products. However …