A Novel Agricultural Remote Sensing Drought Index (ARSDI) for high-resolution drought assessment in Africa using Sentinel and Landsat data

Environmental Monitoring and Assessment, Год журнала: 2025, Номер 197(3)

Опубликована: Фев. 4, 2025

Язык: Английский

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Prediction of Drought Thresholds Triggering Winter Wheat Yield Losses in the Future Based on the CNN-LSTM Model and Copula Theory: A Case Study of Henan Province

Agronomy, Год журнала: 2025, Номер 15(4), С. 954 - 954

Опубликована: Апрель 14, 2025

As global warming progresses, quantifying drought thresholds for crop yield losses is crucial food security and sustainable agriculture. Based on the CNN-LSTM model Copula function, this study constructs a conditional probability framework under future climate change. It analyzes relationship between Standardized Precipitation–Evapotranspiration Index (SPEI) winter wheat yield, assesses vulnerability of in various regions to stress, quantifies The results showed that (1) SPEI Zhoukou, Sanmenxia, Nanyang was significantly correlated with yield; (2) southern eastern higher than center, western, northern past (2000–2023) (2024–2047); (3) there were significant differences thresholds. loss below 30, 50, 70 percentiles (past/future) −1.86/−2.47, −0.85/−1.39, 0.60/0.35 (Xinyang); −1.45/−2.16, −0.75/−1.34, −0.17/−0.43 (Nanyang); −1.47/−2.24, −0.97/−1.61, 0.69/0.28 (Zhoukou); −2.18/−2.86, −1.80/−2.36, −0.75/−1.08 (Kaifeng), indicating threshold will reduce future. This mainly due different soil conditions Henan Province. In context change, droughts be more frequent. Hence, research provide valuable reference efficient utilization agricultural water resources prevention control risk change

Язык: Английский

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Integrating traditional and advanced technologies for drought monitoring and management: a systematic review of global methodologies and applications

Theoretical and Applied Climatology, Год журнала: 2025, Номер 156(5)

Опубликована: Апрель 16, 2025

Язык: Английский

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Research on the Response Mechanism of Vegetation to Drought Stress in the West Liao River Basin, China

Remote Sensing, Год журнала: 2025, Номер 17(10), С. 1780 - 1780

Опубликована: Май 20, 2025

Understanding vegetation’s drought response helps predict ecosystem adaptations to climate change and offers scientific insights for managing extreme events. Using RS technology, this study systematically investigates the mechanisms of vegetation their spatiotemporal variations in ecologically sensitive semi-arid area national grain security zone—West Liao River Basin, China. The findings reveal that (1) from 2000 2018, NDVI exhibited a fluctuating upward trend, trends remained pronounced certain areas seasons; (2) growing-season droughts impaired productivity, while winter reduced soil moisture, with arid-zone being most vulnerable; (3) grasslands responded rapidly drought, forests slowly via deep roots, croplands suffered during critical growth phases; (4) drought-adapted western forests/shrubs recovered best, eastern required targeted measures like resilient crops water management. results not only provide basis ecological management West Basin but also offer valuable resource other arid regions globally. This research holds significant importance addressing achieving regional sustainable development.

Язык: Английский

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Lagged and cumulative effects of drought on global vegetation greenness, coverage, and productivity

Environmental Impact Assessment Review, Год журнала: 2025, Номер 115, С. 108019 - 108019

Опубликована: Май 28, 2025

Язык: Английский

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Disentangling Vegetation Physiological Responses Under Extreme Drought with Multispectral Remote Sensing Approach: Insights from Et, Sif, and Vod

Опубликована: Янв. 1, 2024

Язык: Английский

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