Relation of land surface temperature with different vegetation indices using multi-temporal remote sensing data in Sahiwal region, Pakistan
At the global and regional scales, green vegetation cover has the ability to affect the climate
and land surface fluxes. Climate is an important factor which plays an important role in …
and land surface fluxes. Climate is an important factor which plays an important role in …
The effect of drought on vegetation gross primary productivity under different vegetation types across China from 2001 to 2020
Highlights Two drought indices (SPEI and VPD) were used to characterize the degree of
dryness/wetness. The water deficit represented by two drought indices was mostly …
dryness/wetness. The water deficit represented by two drought indices was mostly …
An improved daily standardized precipitation index dataset for mainland China from 1961 to 2018
The standardized precipitation index (SPI), one of the most commonly used drought
indicators, is widely used in the research areas of drought analysis and drought prediction in …
indicators, is widely used in the research areas of drought analysis and drought prediction in …
Modeling the impacts of projected climate change on wheat crop suitability in semi-arid regions using the AHP-based weighted climatic suitability index and CMIP6
Due to rapid population growth and the limitation of land resources, the sustainability of
agricultural ecosystems has attracted more attention all over the world. Human activities will …
agricultural ecosystems has attracted more attention all over the world. Human activities will …
[HTML][HTML] A comparative analysis of data mining techniques for agricultural and hydrological drought prediction in the eastern Mediterranean
Drought is a natural hazard which affects ecosystems in the eastern Mediterranean.
However, limited historical data for drought monitoring and forecasting are available in the …
However, limited historical data for drought monitoring and forecasting are available in the …
Securing China's rice harvest: Unveiling dominant factors in production using multi-source data and hybrid machine learning models
Ensuring the security of China's rice harvest is imperative for sustainable food production.
The existing study addresses a critical need by employing a comprehensive approach that …
The existing study addresses a critical need by employing a comprehensive approach that …
[HTML][HTML] Probabilistic analysis of drought impact on wheat yield and climate change implications
Drought is projected to intensify under warming climate and will continuously threaten global
food security. Assessing the risk of yield loss due to drought is key to develo** effective …
food security. Assessing the risk of yield loss due to drought is key to develo** effective …
Drought index revisited to assess its response to vegetation in different agro-climatic zones
A combination of in-situ climatic variables and remote sensing data could provide dynamic
information that facilitates to get effective dryness or wetness situations for planetary …
information that facilitates to get effective dryness or wetness situations for planetary …
Exploring dynamic response of agrometeorological droughts towards winter wheat yield loss risk using machine learning approach at a regional scale in Pakistan
Context Crop yield is a major agriculture sector affected by climate change; especially
agrometeorological droughts experienced by south Asian countries in past decades …
agrometeorological droughts experienced by south Asian countries in past decades …
[HTML][HTML] Probabilistic assessment of drought impacts on wheat yield in south-eastern Australia
A risk-based approach is more meaningful to quantify the effects of drought on crop yield
given the randomness nature of past drought events, compared to the deterministic …
given the randomness nature of past drought events, compared to the deterministic …