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Machine learning-based integration of remotely-sensed drought factors can improve the estimation of agricultural drought in South-Eastern Australia
Agricultural drought is a natural hazard arising from insufficient crop water supply. Many
drought indices have been developed to characterize agricultural drought, relying on either …
drought indices have been developed to characterize agricultural drought, relying on either …
Drought assessment and monitoring through blending of multi-sensor indices using machine learning approaches for different climate regions
Drought triggered by a deficit of precipitation, is influenced by various environmental factors
such as temperature and evapotranspiration, and causes water shortage and crop failure …
such as temperature and evapotranspiration, and causes water shortage and crop failure …
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 …
Drought monitoring using landsat derived indices and Google Earth engine platform: A case study from Al-Lith Watershed, Kingdom of Saudi Arabia
Precise assessment of drought and its impact on the natural ecosystem is an arduous task in
regions with limited climatic observations due to sparsely distributed in situ stations …
regions with limited climatic observations due to sparsely distributed in situ stations …
Machine-learned prediction of annual crop planting in the US Corn Belt based on historical crop planting maps
An accurate crop planting map can provide essential information for decision support in
agriculture. The method of post-season and in-season crop map** has been widely …
agriculture. The method of post-season and in-season crop map** has been widely …
Analyzing the impact of thermal stress on vegetation health and agricultural drought–a case study from Gujarat, India
Although poor precipitation due to delayed arrival and/or early retreat of the southwest
monsoon is considered the chief architect of drought in India, heat waves may also play a …
monsoon is considered the chief architect of drought in India, heat waves may also play a …
Develo** a satellite-based combined drought indicator to monitor agricultural drought: A case study for Ethiopia
Develo** a robust drought monitoring tool is vital to mitigate the adverse impacts of
drought. A drought monitoring system that integrates multiple agrometeorological variables …
drought. A drought monitoring system that integrates multiple agrometeorological variables …
[HTML][HTML] Map** the spatial-temporal dynamics of vegetation response lag to drought in a semi-arid region
Drought, as an extreme climate event, affects the ecological environment for vegetation and
agricultural production. Studies of the vegetative response to drought are paramount to …
agricultural production. Studies of the vegetative response to drought are paramount to …
[HTML][HTML] Utilizing the Google Earth Engine for Agricultural Drought Conditions and Hazard Assessment Using Drought Indices in the Najd Region, Sultanate of Oman
MS Al Nadabi, P D'Antonio, C Fiorentino, A Scopa… - Remote Sensing, 2024 - mdpi.com
Accurately evaluating drought and its effects on the natural environment is difficult in regions
with limited climate monitoring stations, particularly in the hyper-arid region of the Sultanate …
with limited climate monitoring stations, particularly in the hyper-arid region of the Sultanate …
Crop classification and acreage estimation in North Korea using phenology features
In North Korea, reliable and timely information on crop acreage and spatial distribution is
hard to obtain. In this study, we developed a fast and robust method to estimate crop …
hard to obtain. In this study, we developed a fast and robust method to estimate crop …