A review of machine learning methods for drought hazard monitoring and forecasting: Current research trends, challenges, and future research directions
Abstract Machine learning is a dynamic field with wide-ranging applications, including
drought modeling and forecasting. Drought is a complex, devastating natural disaster for …
drought modeling and forecasting. Drought is a complex, devastating natural disaster for …
Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources
This paper reviews the most important information fusion data-driven algorithms based on
Machine Learning (ML) techniques for problems in Earth observation. Nowadays we …
Machine Learning (ML) techniques for problems in Earth observation. Nowadays we …
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 …
Effects and contributions of meteorological drought on agricultural drought under different climatic zones and vegetation types in Northwest China
Meteorological drought is one of the driving forces behind agricultural drought. The
response of agricultural drought to meteorological drought remains poorly understood under …
response of agricultural drought to meteorological drought remains poorly understood under …
Impacts of climate variability and drought on surface water resources in Sub-Saharan Africa using remote sensing: A review
Climate variability and recurrent droughts have caused remarkable strain on water
resources in most regions across the globe, with the arid and semi-arid areas being the …
resources in most regions across the globe, with the arid and semi-arid areas being the …
Machine learning-based integration of remotely-sensed drought factors can improve the estimation of agricultural drought in South-Eastern Australia
Agricultural drought is a natural hazard arising from insufficient crop water supply. Many
drought indices have been developed to characterize agricultural drought, relying on either …
drought indices have been developed to characterize agricultural drought, relying on either …
A dryness index TSWDI based on land surface temperature, sun-induced chlorophyll fluorescence, and water balance
Y Liu, X Yu, C Dang, H Yue, X Wang, H Niu… - ISPRS Journal of …, 2023 - Elsevier
Drought has a serious impact on the health of terrestrial ecosystems, socio-economy and
human health. It is important to accurately monitor drought conditions. Soil moisture (SM) …
human health. It is important to accurately monitor drought conditions. Soil moisture (SM) …
Drought: A common environmental disaster
Droughts have been identified as an environmental hazard by environmentalists, ecologists,
hydrologists, meteorologists, geologists, and agricultural experts. Droughts are …
hydrologists, meteorologists, geologists, and agricultural experts. Droughts are …
Generation of spatially complete and daily continuous surface soil moisture of high spatial resolution
Surface soil moisture (SSM), as a vital variable for water and heat exchanges between the
land surface and the atmosphere, is essential for agricultural production and drought …
land surface and the atmosphere, is essential for agricultural production and drought …
A new multi-sensor integrated index for drought monitoring
Drought is one of the most expensive but least understood natural disasters. Remote
sensing based integrated drought indices have the potential to describe drought conditions …
sensing based integrated drought indices have the potential to describe drought conditions …