Optical vegetation indices for monitoring terrestrial ecosystems globally

Y Zeng, D Hao, A Huete, B Dechant, J Berry… - Nature Reviews Earth & …, 2022 - nature.com
Vegetation indices (VIs), which describe remotely sensed vegetation properties such as
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

ZL Li, H Wu, SB Duan, W Zhao, H Ren… - Reviews of …, 2023 - Wiley Online Library
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 …

Food security

C Mbow, CE Rosenzweig, LG Barioni, TG Benton… - 2020 - ntrs.nasa.gov
The current food system (production, transport, processing, packaging, storage, retail,
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

Q Sun, C Miao, Q Duan, H Ashouri… - Reviews of …, 2018 - Wiley Online Library
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 …

Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future

W Jiao, L Wang, MF McCabe - Remote Sensing of Environment, 2021 - Elsevier
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 …

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

H West, N Quinn, M Horswell - Remote Sensing of Environment, 2019 - Elsevier
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 …

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 …

Droughts in East Africa: Causes, impacts and resilience

GG Haile, Q Tang, S Sun, Z Huang, X Zhang, X Liu - Earth-science reviews, 2019 - Elsevier
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 …

Seasonal drought prediction: Advances, challenges, and future prospects

Z Hao, VP Singh, Y Xia - Reviews of Geophysics, 2018 - Wiley Online Library
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 …

A review of spatial downscaling of satellite remotely sensed soil moisture

J Peng, A Loew, O Merlin… - Reviews of …, 2017 - Wiley Online Library
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 …