Version 1
: Received: 3 November 2023 / Approved: 3 November 2023 / Online: 5 November 2023 (17:16:01 CET)
How to cite:
hamarash, H.; RASUL, A.; HAMAD, R. A Novel Index of Agricultural Drought Measurement: Soil Moisture and Evapotranspiration Revealed Drought Index (SERDI). Preprints2023, 2023110274. https://doi.org/10.20944/preprints202311.0274.v1
hamarash, H.; RASUL, A.; HAMAD, R. A Novel Index of Agricultural Drought Measurement: Soil Moisture and Evapotranspiration Revealed Drought Index (SERDI). Preprints 2023, 2023110274. https://doi.org/10.20944/preprints202311.0274.v1
hamarash, H.; RASUL, A.; HAMAD, R. A Novel Index of Agricultural Drought Measurement: Soil Moisture and Evapotranspiration Revealed Drought Index (SERDI). Preprints2023, 2023110274. https://doi.org/10.20944/preprints202311.0274.v1
APA Style
hamarash, H., RASUL, A., & HAMAD, R. (2023). <strong>A Novel Index of Agricultural Drought Measurement: Soil Moisture and Evapotranspiration Revealed Drought Index (SERDI)</strong>. Preprints. https://doi.org/10.20944/preprints202311.0274.v1
Chicago/Turabian Style
hamarash, H., Azad RASUL and Rahel HAMAD. 2023 "<strong>A Novel Index of Agricultural Drought Measurement: Soil Moisture and Evapotranspiration Revealed Drought Index (SERDI)</strong>" Preprints. https://doi.org/10.20944/preprints202311.0274.v1
Abstract
Droughts are a common occurrence in various climates and are primarily caused by a prolonged decrease in rainfall. Several factors contribute to droughts, including temperature, wind speed, relative humidity, rainfall timing, amount, and intensity during the growing season. The objective of this study is to establish a new index, named soil moisture and evapotranspiration revealed drought index (SERDI), for displaying dry and wet conditions based on combining both soil moisture and evapotranspiration (Penman-Monteith) to improve drought early warning and its severity globally. For validation of the SERDI with other indices such as LST, VHI, NDVI, and NDWI, different ways used such as R-square, RMSE, MAPE, and P-value to estimate the accuracy, variability of data, the forecast conditions, and how the significance of data. The results showed that the low RMSE and high r2 were found between SERDI with LST and VHI. In contrast, the low R- square and high RMSE were between SERDI with NDVI and NDWI in most of the semi-arid areas. Furthermore, most of the semi-arid areas from Iran, Iraq, Syria, Jordan, and Israel experienced moderate and severe dry conditions, except some parts of these regions had normal conditions in Iran and Syria. The SERDI analysis revealed a strong correlation between (LST) and a moderate correlation with (VHI) across all study areas. However, the relationship between other indices, like (NDWI) and (NDVI), varied depending on the regions. To conclude, SERDI can be used globally for detecting drought based on soil moisture and evapotranspiration.
Keywords
Evapotranspiration; New Drought Index; Semi-arid Areas; Soil Moisture; TerraClimate
Subject
Environmental and Earth Sciences, Remote Sensing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
