[HTML][HTML] An overview of monitoring methods for assessing the performance of nature-based solutions against natural hazards
To bring to fruition the capability of nature-based solutions (NBS) in mitigating hydro-
meteorological risks (HMRs) and facilitate their widespread uptake require a consolidated …
meteorological risks (HMRs) and facilitate their widespread uptake require a consolidated …
Enhancing FAIR data services in agricultural disaster: A review
The agriculture sector is highly vulnerable to natural disasters and climate change, leading
to severe impacts on food security, economic stability, and rural livelihoods. The use of …
to severe impacts on food security, economic stability, and rural livelihoods. The use of …
Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia
A quantitative understanding of the hydro-environmental factors that influence the
occurrence of agricultural drought events would enable more strategic climate change …
occurrence of agricultural drought events would enable more strategic climate change …
Droughts across China: Drought factors, prediction and impacts
Drought is a complicated and costly natural hazard and identification of critical drought
factors is critical for modeling and forecasting of droughts and hence development of …
factors is critical for modeling and forecasting of droughts and hence development of …
Mapping the sensitivity of agriculture to drought and estimating the effect of irrigation in the United States, 1950–2016
Drought is a devastating natural hazard posing great threats to agriculture. Identifying the
spatial pattern of agricultural sensitivity to drought can provide scientific information for …
spatial pattern of agricultural sensitivity to drought can provide scientific information for …
Quantifying temperature and precipitation change caused by land cover change: a case study of India using the WRF model
The large-scale Land-Uses and Land-Cover Changes (LULCC) in India in the past several
decades is primarily driven by anthropogenic factors that influence the climate from regional …
decades is primarily driven by anthropogenic factors that influence the climate from regional …
Evaluating the NDVI–rainfall relationship in Bisha watershed, Saudi Arabia using non-stationary modeling technique
The Normalized Difference Vegetation Index (NDVI) and rainfall data were used to model
the spatial relationship between vegetation and rainfall. Their correlation in previous studies …
the spatial relationship between vegetation and rainfall. Their correlation in previous studies …
A new drought index and its application based on geographically weighted regression (GWR) model and multi-source remote sensing data
W Wei, X Zhang, C Liu, B Xie, J Zhou… - Environmental Science and …, 2023 - Springer
Drought is the most widespread natural disaster in the world. How to monitor regional
drought scientifically and accurately has become a hot topic for many scholars. In this paper …
drought scientifically and accurately has become a hot topic for many scholars. In this paper …
A new drought monitoring index on the Tibetan Plateau based on multisource data and machine learning methods
M Cheng, L Zhong, Y Ma, X Wang, P Li, Z Wang, Y Qi - Remote Sensing, 2023 - mdpi.com
Drought is a major disaster over the Tibetan Plateau (TP) that exerts great impacts on
natural ecosystems and agricultural production. Furthermore, most drought indices are only …
natural ecosystems and agricultural production. Furthermore, most drought indices are only …
Evaluating a new temperature-vegetation-shortwave infrared reflectance dryness index (TVSDI) in the continental United States
M Xu, N Yao, A Hu, LGG de Goncalves… - Journal of …, 2022 - Elsevier
Accurate dryness monitoring is important for formulating reasonable response measures to
reduce social and economic losses caused by drought. The land surface temperature (LST) …
reduce social and economic losses caused by drought. The land surface temperature (LST) …