Remote sensing for drought monitoring & impact assessment: Progress, past challenges and future opportunities

Abstract

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. Effective drought monitoring is therefore critical, both to the research community in developing an understanding of drought, and to those responsible for drought management and mitigation. Over the past 50 years remote sensing has shifted the field away from reliance on traditional site-based measurements and enabled observations and estimates of key drought-related variables over larger spatial and temporal scales than was previously possible. This has proven especially important in data poor regions with limited in-situ monitoring stations. Available remotely sensed data products now represent almost all aspects of drought propagation and have contributed to our understanding of the phenomena. In this review we chart the rise of remote sensing for drought monitoring, examining key milestones and technologies for assessing meteorological, agricultural and hydrological drought events. We reflect on challenges the research community has faced to date, such as limitations associated with data record length and spatial, temporal and spectral resolution. This review then looks ahead to the future in terms of new technologies, such as the ESA Sentinel satellites, analytical platforms and approaches, such as Google EarthEngine, and the utility of existing data in new drought monitoring applications. We look forward to the continuation of 50 years of progress to provide effective, innovative and efficient drought monitoring solutions utilising remote sensing technology.

Monitoring Plant Status and Fertilization Strategy through Multispectral Images

“…These sensors are also being used for many applications regarding plant analysis. The multispectral images can be used for counting plants in orchard fields [16], estimate biomass, productivity, canopy traits [17], phenological state [18] and mortality of forest trees [19], and can also estimate the damage level of insect pests in forest and crops [20], assess hydric deficiency [21], and estimate the quality parameters (brix, texture, internal damages) of fruits in a non-destructive way [22,23].…”

Spatial-Temporal Variability of Land Surface Dry Anomalies in Climatic Aspect: Biogeophysical Insight by Meteosat Observations and SVAT Modeling

“…Nowadays, using satellite-based remote sensing in combination with in situ data is a promising approach for informing Earth surface modeling [20]. A recent review [21] charts the rise of remote sensing for drought monitoring, examining key milestones and technologies for assessing meteorological, agricultural, and hydrological drought events. Agricultural drought (also referred to as soil moisture drought) represents a deficit in soil moisture available to vegetation driven by a precipitation deficit (meteorological drought) [22].…”

A General Overview of the Risk-Reduction Strategies for Floods and Droughts

“…Floods usually have a clear and sudden start and end, but drought does not. However, drought can be unexpectedly ended by extreme precipitation [131]. Therefore, long-term instead of short-term impact assessment (here, short-term means a few hours to a few days) is usually more important for drought.…”