Assessing the impacts of agricultural drought (SPI/SPEI) on maize and wheat yields across Hungary

S Mohammed, K Alsafadi, GO Enaruvbe, B Bashir… - Scientific Reports, 2022 - nature.com
This study examined the physical properties of agricultural drought (ie, intensity, duration,
and severity) in Hungary from 1961 to 2010 based on the Standardized Precipitation Index …

Fishery and agriculture amidst human activities and climate change in the Mekong River: A review of gaps in data and effective approaches towards sustainable …

K Morovati, F Tian, Y Pokhrel, P Someth, L Shi… - Journal of …, 2024 - Elsevier
Fisheries and agriculture–the pillars of food security in the Lancang Mekong River Basin
(LMRB)–substantially contribute to the welfare of communities in the region through …

Estimation of SPEI meteorological drought using machine learning algorithms

A Mokhtar, M Jalali, H He, N Al-Ansari, A Elbeltagi… - IEEe …, 2021 - ieeexplore.ieee.org
Accurate estimation of drought events is vital for the mitigation of their adverse
consequences on water resources, agriculture and ecosystems. Machine learning …

Spatial and temporal characteristics of droughts in Central Asia during 1966–2015

H Guo, A Bao, T Liu, F Ndayisaba, L Jiang… - Science of the total …, 2018 - Elsevier
In drought-prone regions like Central Asia, drought monitoring studies are paramount to
provide valuable information for drought risk mitigation. In this paper, the spatiotemporal …

Meta-analysis in using satellite precipitation products for drought monitoring: Lessons learnt and way forward

G Hinge, MM Mohamed, D Long, MA Hamouda - Remote Sensing, 2021 - mdpi.com
In recent years, satellite precipitation products (SPPs) have emerged as an essential source
of data and information. This work intends to summarize lessons learnt on using SPPs for …

Evaluation of 23 gridded precipitation datasets across West Africa

F Satgé, D Defrance, B Sultan, MP Bonnet, F Seyler… - Journal of …, 2020 - Elsevier
This study aims reporting on 23 gridded precipitation datasets (P-datasets) reliability across
West Africa through direct comparisons with rain gauges measurement at the daily and …

Future projection of seasonal drought characteristics using CMIP6 in the Lancang-Mekong River Basin

Z Dong, H Liu, H Hu, MYA Khan, J Wen, L Chen… - Journal of …, 2022 - Elsevier
As the most widespread natural hazard, drought has significant impacts on the livelihood
and ecosystems in the Lancang-Mekong River Basin (LMRB). However, few studies focus …

[HTML][HTML] Deriving drought indices from MODIS vegetation indices (NDVI/EVI) and Land Surface Temperature (LST): Is data reconstruction necessary?

F **e, H Fan - International Journal of applied earth observation and …, 2021 - Elsevier
Droughts pose significant economic and ecological concerns, and considering climate
change projections, timely monitoring and early warning based on satellite observations …

Validation of CHIRPS precipitation dataset along the Central Andes of Argentina

JA Rivera, G Marianetti, S Hinrichs - Atmospheric Research, 2018 - Elsevier
A validation covering a 30-year period (1987–2016) of the relatively new CHIRPS
precipitation dataset was performed over the Central Andes of Argentina (CAA), a semi-arid …

Accuracy of CHIRPS satellite-rainfall products over mainland China

L Bai, C Shi, L Li, Y Yang, J Wu - Remote Sensing, 2018 - mdpi.com
Precipitation is the main component of global water cycle. At present, satellite quantitative
precipitation estimates (QPEs) are widely applied in the scientific community. However, the …