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 …
Application of remote sensing in detecting and monitoring water stress in forests
In the context of climate change, the occurrence of water stress in forest ecosystems, which
are solely dependent on precipitation, has exhibited a rising trend, even among species that …
are solely dependent on precipitation, has exhibited a rising trend, even among species that …
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 …
Drought monitoring over Yellow River basin from 2003–2019 using reconstructed MODIS land surface temperature in Google Earth Engine
Drought is one of the most complex and least-understood environmental disasters that can
trigger environmental, societal, and economic problems. To accurately assess the drought …
trigger environmental, societal, and economic problems. To accurately assess the drought …
Generation of MODIS-like land surface temperatures under all-weather conditions based on a data fusion approach
Land surface temperature (LST) is among the most important variables in monitoring land
surface processes. LST is often retrieved from thermal infrared remote sensing data, which …
surface processes. LST is often retrieved from thermal infrared remote sensing data, which …
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) …
A global seamless 1 km resolution daily land surface temperature dataset (2003–2020)
Land surface temperature (LST) is one of the most important and widely used parameter for
studying land surface processes. Moderate Resolution Imaging Spectroradiometer (MODIS) …
studying land surface processes. Moderate Resolution Imaging Spectroradiometer (MODIS) …
Performance and relationship of four different agricultural drought indices for drought monitoring in China's mainland using remote sensing data
T Javed, Y Li, S Rashid, F Li, Q Hu, H Feng… - Science of the total …, 2021 - Elsevier
Increasing frequency and intensity of extreme drought events have harmed the environment,
ecosystem, and agricultural productivity. However, the characteristics of agricultural drought …
ecosystem, and agricultural productivity. However, the characteristics of agricultural 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 …