Droughts are prolonged precipitation-deficient periods, resulting in inadequate water
availability and adverse repercussions to crops, animals and humans. Drought forecasting is …

The consequences of droughts are far-reaching, impacting the natural environment, water
quality, public health, and accelerating economic losses. Applications of remote sensing …

Drought forecasting can effectively reduce the risk of drought. We proposed a hybrid model
based on deep learning methods that integrates an autoregressive integrated moving …

近十余年以来全球范围干旱及其灾害频繁发生, 越来越多的学者意识到抗旱减灾研究的重要性,
开展了一系列卓有成效的研究. 本文主要从干旱监测评估技术, 干旱预报技术 …

While reliable drought prediction is fundamental for drought mitigation and water resources
management, it is still a challenge to develop robust drought prediction models due to …

Hydrological drought forecasting is a key component in water resources modeling as it
relates directly to water availability. It is crucial in managing and operating dams, which are …

Early and accurate information of crop growth condition is vital for agricultural industry and
food security, which gives rise to a strong demand for timely monitoring crop growth …

Crop yield estimation and prediction constitutes a key issue in agricultural management,
particularly under the context of demographic pressure and climate change. Currently, the …

Land degradation in semi-arid natural environments is usually associated with climate
vulnerability and anthropic pressure, leading to devastating social, economic and …

Hydrological drought forecasting is considered a key component in water resources risk
management. As sustained meteorological drought may lead to hydrological drought over …