A machine learning model for drought tracking and forecasting using remote precipitation data and a standardized precipitation index from arid regions

M Bouaziz, E Medhioub, E Csaplovisc - Journal of Arid Environments, 2021 - Elsevier
Drought is a catastrophe that impacts agriculture and causes economic and social damage.
An effective monitoring and forecasting system is needed to assess the extent of droughts …

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 …

Assessment of GPM and TRMM precipitation products over Singapore

ML Tan, Z Duan - Remote Sensing, 2017 - mdpi.com
The evaluation of satellite precipitation products (SPPs) at regional and local scales is
essential in improving satellite-based algorithms and sensors, as well as in providing …

Meteorological drought analysis in the Lower Mekong Basin using satellite-based long-term CHIRPS product

H Guo, A Bao, T Liu, F Ndayisaba, D He, A Kurban… - Sustainability, 2017 - mdpi.com
Lower Mekong Basin (LMB) experiences a recurrent drought phenomenon. However, few
studies have focused on drought monitoring in this region due to lack of ground …

Evaluation of the TRMM product for monitoring drought over Paraíba State, northeastern Brazil: a trend analysis

RM Brasil Neto, CAG Santos, JFCBC Silva… - Scientific Reports, 2021 - nature.com
Droughts are complex natural phenomena that influence society's development in different
aspects; therefore, monitoring their behavior and future trends is a useful task to assist the …

Geospatial drought severity analysis based on PERSIANN-CDR-estimated rainfall data for Odisha state in India (1983–2018)

CAG Santos, RMB Neto, TVM do Nascimento… - Science of the Total …, 2021 - Elsevier
Studying the behavior of drought and its short-, medium-and long-term features throughout a
region is very important for the creation of adequate public policies and actions aimed at the …

Environmental degradation of vegetation cover and water bodies in the semiarid region of the Brazilian Northeast via cloud geoprocessing techniques applied to …

JLB da Silva, GB de Albuquerque Moura… - Journal of South …, 2023 - Elsevier
The spatiotemporal diagnosis of climate variability and environmental changes in arid and
semiarid regions is essential to minimize pressures and impacts on natural ecosystems …

Evaluation of TRMM satellite dataset for monitoring meteorological drought in northeastern Brazil

RM Brasil Neto, CA Guimarães Santos… - Hydrological …, 2022 - Taylor & Francis
Although droughts can inflict extreme damage on populations, few studies have
characterized drought events in arid and semiarid regions around the globe due to the lack …

Assessment of three long-term satellite-based precipitation estimates against ground observations for drought characterization in northwestern China

H Guo, M Li, V Nzabarinda, A Bao, X Meng, L Zhu… - Remote Sensing, 2022 - mdpi.com
Long-term satellite-based precipitation estimates (LSPE) play a significant role in
climatological studies like drought monitoring. In this study, three popular LSPEs …

Evaluation of Tropical Rainfall Measuring Mission, Integrated Multi‐satellite Retrievals for GPM, Climate Hazards Centre InfraRed Precipitation with Station data, and …

MS Keikhosravi‐Kiany, SA Masoodian… - International Journal …, 2022 - Wiley Online Library
Satellite remote‐sensing products with high spatial and temporal resolution are viable
sources of precipitation information, especially for data‐sparse and remote regions. The aim …