Academic Journal
Temperature-Vegetation-soil Moisture-Precipitation Drought Index (TVMPDI); 21-year drought monitoring in Iran using satellite imagery within Google Earth Engine: 21-year drought monitoring in Iran using satellite imagery within Google Earth Engine
| Τίτλος: | Temperature-Vegetation-soil Moisture-Precipitation Drought Index (TVMPDI); 21-year drought monitoring in Iran using satellite imagery within Google Earth Engine: 21-year drought monitoring in Iran using satellite imagery within Google Earth Engine |
|---|---|
| Συγγραφείς: | Farzaneh Dadrass Javan, Arsalan Ghorbanian, Alfred Stein, Soroosh Mehravar, Meisam Amani, S. Mohammad Mirmazloumi, Farhad Samadzadegan, Armin Moghimi, Ali Mohammadzadeh |
| Συνεισφορές: | Universitat Politècnica de Catalunya. Doctorat en Ciència i Tecnologia Aeroespacials |
| Πηγή: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) ADV SPACE RES r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) Universitat Oberta de Catalunya (UOC) |
| Στοιχεία εκδότη: | Elsevier BV, 2021. |
| Έτος έκδοσης: | 2021 |
| Θεματικοί όροι: | TVPMDI, Monitoring, Droughts--Iran, Remote Sensing (RS), UT-Hybrid-D, Radiometers, Moderate res-olution imaging spectrometers, Remote-sensing, Mapes per teledetecció, 01 natural sciences, Drought in iran, Google earths, Remote-sensing maps, SDG 13 - Climate Action, Soil temperature, Engines, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació, Remote sensing (RS), 0105 earth and related environmental sciences, 2. Zero hunger, Drought in Iran, Vegetation, Spectrometers, Drought, 22/3 OA procedure, Drought monitoring, Precipitation temperature, Drought index, Temperature, Google Earth, Satellite imagery, Soil surveys, Sequeres--Iran, Remote sensing, Enginyeria de la telecomunicació [Àrees temàtiques de la UPC], 15. Life on land, 6. Clean water, MODIS, 13. Climate action, ITC-ISI-JOURNAL-ARTICLE, Satèl·lits artificials en teledetecció, Soil moisture, Artificial satellites in remote sensing |
| Περιγραφή: | Remote Sensing (RS) offers efficient tools for drought monitoring, especially in countries with a lack of reliable and consistent in-situ multi-temporal datasets. In this study, a novel RS-based Drought Index (RSDI) named Temperature-Vegetation-soil Moisture-Precipitation Drought Index (TVMPDI) was proposed. To the best of our knowledge, TVMPDI is the first RSDI using four different drought indicators in its formulation. TVMPDI was then validated and compared with six conventional RSDIs including VCI, TCI, VHI, TVDI, MPDI and TVMDI. To this end, precipitation and soil temperature in-situ data have been used. Different time scales of meteorological Standardized Precipitation Index (SPI) index have also been used for the validation of the RSDIs. TVMPDI was highly correlated with the monthly precipitation and soil temperature in-situ data at 0.76 and 0.81 values respectively. The correlation coefficients between the RSDIs and 3-month SPI ranged from 0.07 to 0.28, identifying the TVMPDI as the most suitable index for subsequent analyses. Since the proposed TVMPDI could considerably outperform the other selected RSDIs, all spatiotemporal drought monitoring analyses in Iran were conducted by TVMPDI over the past 21 years. In this study, different products of the Moderate Resolution Imaging Spectrometer (MODIS), Tropical Rainfall Measuring Mission (TRMM), and Global Precipitation Measurement (GPM) datasets containing 15,206 images were used on the Google Earth Engine (GEE) cloud computing platform. According to the results, Iran experienced the most severe drought in 2000 with a 0.715 TVMPDI value lasting for almost two years. Conversely, the TVMPDI showed a minimum value equal to 0.6781 in 2019 as the lowest annual drought level. The drought severity and trend in the 31 provinces of Iran have also been mapped. Consequently, various levels of decrease over the 21 years were found for different provinces, while Isfahan and Gilan were the only provinces showing an ascending drought trend (with a 0.004% and 0.002% trendline slope respectively). Khuzestan also faced a worrying drought prevalence that occurred in several years. In summary, this study provides updated information about drought trends in Iran using an advanced and efficient RSDI implemented in the cloud computing GEE platform. These results are beneficial for decision-makers and officials responsible for environmental sustainability, agriculture and the effects of climate change. We appreciate the I.R. of Iran Meteorological Organiza-tion (IRIMO) that provided us with meteorological data. |
| Τύπος εγγράφου: | Article |
| Περιγραφή αρχείου: | application/pdf |
| Γλώσσα: | English |
| ISSN: | 0273-1177 |
| DOI: | 10.1016/j.asr.2021.08.041 |
| DOI: | 10.5281/zenodo.6137154 |
| DOI: | 10.5281/zenodo.6517351 |
| DOI: | 10.5281/zenodo.6137153 |
| DOI: | 10.5281/zenodo.6517350 |
| Σύνδεσμος πρόσβασης: | https://cttc.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=4133 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115779665&doi=10.1016/j.asr.2021.08.041&partnerID=40&md5=b038945a3e0842a5dfd13a05372d257f https://research.utwente.nl/en/publications/65e589c1-2c24-4e9f-99c3-cb83d57e21cf https://doi.org/10.1016/j.asr.2021.08.041 https://www.narcis.nl/publication/RecordID/oai%3Aris.utwente.nl%3Apublications%2F65e589c1-2c24-4e9f-99c3-cb83d57e21cf https://research.utwente.nl/en/publications/temperature-vegetation-soil-moisture-precipitation-drought-index- https://www.sciencedirect.com/science/article/pii/S0273117721006918 |
| Rights: | Elsevier TDM CC BY CC BY NC ND |
| Αριθμός Καταχώρησης: | edsair.doi.dedup.....70defe2b5a43f3fbca1edb89a6508d7d |
| Βάση Δεδομένων: | OpenAIRE |
| ISSN: | 02731177 |
|---|---|
| DOI: | 10.1016/j.asr.2021.08.041 |