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Optical and thermal remote sensing for monitoring agricultural drought
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 …
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
A high-resolution drought forecast model for ungauged areas was developed in this study.
The Standardized Precipitation Index (SPI) and Standardized Precipitation …
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 …
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
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 …
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 …
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
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 …
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
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 …
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
Favourability classification for forest species represents a fundamental activity for deriving
technological solutions in forestry, as specialists need detailed information about the …
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 …
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
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 …
by droughts in certain countries is measured in tens of billions of dollars per year. Timely …