Optical and thermal remote sensing for monitoring agricultural drought

Q Qin, Z Wu, T Zhang, V Sagan, Z Zhang, Y Zhang… - Remote Sensing, 2021 - mdpi.com
By effectively observing the land surface and obtaining farmland conditions, satellite remote
sensing has played an essential role in agricultural drought monitoring over past decades …

Meteorological drought forecasting for ungauged areas based on machine learning: Using long-range climate forecast and remote sensing data

J Rhee, J Im - Agricultural and Forest Meteorology, 2017 - Elsevier
A high-resolution drought forecast model for ungauged areas was developed in this study.
The Standardized Precipitation Index (SPI) and Standardized Precipitation …

Agricultural drought analysis using the NDVI and land surface temperature data; a case study of Raichur district

S Sruthi, MAM Aslam - Aquatic Procedia, 2015 - Elsevier
Increasing temperature and altered precipitation patterns, leads to the extreme weather
events like Drought which drastically affects the agricultural production. Agricultural drought …

A comparative study of remote sensing classification methods for monitoring and assessing desert vegetation using a UAV-based multispectral sensor

ZM Al-Ali, MM Abdullah, NB Asadalla… - Environmental monitoring …, 2020 - Springer
Restoration programs require long-term monitoring and assessment of vegetation growth
and productivity. Remote sensing technology is considered to be one of the most powerful …

Normalised Difference Vegetation Index Based Drought Monitoring Using Remote Sensing and GIS

BSSV Lakshmi - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
The objective of this research is to analyse vegetation's reactions to precipitation. Three
Pinups sp. combinations and water tension conditions (pine) forests and NDVI's assessment …

A remote sensing-based agricultural drought indicator and its implementation over a semi-arid region, Jordan

K Hazaymeh, QK Hassan - Journal of Arid Land, 2017 - Springer
The objective of the study was to develop a remote sensing (ie, Landsat-8 and MODIS)-
based agricultural drought indicator (ADI) at 30-m spatial resolution and 8-day temporal …

[HTML][HTML] Spatio-temporal characterisation of droughts using selected indices in Upper Tana River watershed, Kenya

HA Okal, FK Ngetich, JM Okeyo - Scientific African, 2020 - Elsevier
Monitoring and assessment of drought is key to modelling, impact assessment, mitigation
and prediction of occurrence. The Upper Tana River watershed hosts two of Kenya's main …

[HTML][HTML] The Assessment of Favourability and Spatio-Temporal Dynamics of Pinus Mugo in the Romanian Carpathians Using GIS Technology and Landsat Images

S Roșca, V Șimonca, Ș Bilașco, I Vescan, I Fodorean… - Sustainability, 2019 - mdpi.com
Favourability classification for forest species represents a fundamental activity for deriving
technological solutions in forestry, as specialists need detailed information about the …

Drought monitoring in the dry zone of Myanmar using MODIS derived NDVI and satellite derived CHIRPS precipitation data

R Dutta - Sustainable Agriculture Research, 2018 - ageconsearch.umn.edu
Drought has become an increasingly frequent phenomena around the globe causing
negative impacts on ecosystems, agriculture, and socio-economic conditions. While efforts …

Correlation analysis of different optical remote sensing indices for drought monitoring: a case study of Canton Sarajevo, Bosnia and Herzegovina

M Đidelija, N Kulo, A Mulahusić, N Tuno… - Environmental Monitoring …, 2023 - Springer
Droughts are second to hurricanes the world's most costly weather events. Damage caused
by droughts in certain countries is measured in tens of billions of dollars per year. Timely …