Temperature-Vegetation-soil Moisture-Precipitation Drought Index (TVMPDI); 21-year drought monitoring in Iran using satellite imagery within Google Earth Engine
نویسندگان
چکیده
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, novel RS-based Drought Index (RSDI) named Temperature-Vegetation-soil Moisture-Precipitation (TVMPDI) was proposed. To the best our knowledge, TVMPDI is first RSDI using four different indicators its formulation. then validated compared six conventional RSDIs including VCI, TCI, VHI, TVDI, MPDI TVMDI. end, precipitation soil temperature data have been used. Different time scales meteorological Standardized Precipitation (SPI) index also used validation RSDIs. highly correlated monthly at 0.76 0.81 values respectively. The correlation coefficients between 3-month SPI ranged from 0.07 to 0.28, identifying as most suitable subsequent analyses. Since proposed could considerably outperform other selected RSDIs, all spatiotemporal monitoring analyses Iran were conducted by over past 21 years. products Moderate Resolution Imaging Spectrometer (MODIS), Tropical Rainfall Measuring Mission (TRMM), Global Measurement (GPM) datasets containing 15,206 images on Google Earth Engine (GEE) cloud computing platform. According results, experienced severe 2000 0.715 value lasting almost two Conversely, showed minimum equal 0.6781 2019 lowest annual level. severity trend 31 provinces mapped. Consequently, various levels decrease years found provinces, while Isfahan Gilan only showing an ascending (with 0.004% 0.002% trendline slope respectively). Khuzestan faced worrying prevalence that occurred several summary, study provides updated information about trends advanced implemented GEE These results are beneficial decision-makers officials responsible environmental sustainability, agriculture effects climate change.
منابع مشابه
Drought monitoring using deciles index standardized precipitation index and effective Drought index in tehran province iran
متن کامل
Assessment of Vegetation Temperature Status (VTCI) for monitoring drought in the watershed of Lake Urmia by using MODIS satellite imagery
Continuous decline in Lake Urmia water levels In recent years, the decline of rainfall and river flows and constant droughts has become the main concern of the people and the people. To study climate change and increase of temperature in the catchment area of Lake Urmia, two factors for measuring the temperature and properties of satellite images were used which indicate the importance of lan...
متن کاملAssessment of Drought Severity Using Vegetation Temperature Condition Index (VTCI) and Terra/MODIS Satellite Data in Rangelands of Markazi Province, Iran
The drought caused a series of effects on many sectors of economy, especially natural resources. During two last decades, Iran has suffered from several severe to extreme agricultural droughts which caused significant decreases in rangeland and agriculture yields. This paper discusses the detection of agricultural drought severity over the rangelands of Markazi Province between 2000 and 2014 us...
متن کاملپایش زمانی و مکانی خشکسالی کشاورزی با استفاده از داده‌های سنجش از دور مورد مطالعه: استان مرکزی ایران
As a result of climate change and reduction in rainfall during the last decade, drought has become big problem in the world, especially in arid and semi-arid areas such as Iran. Therefore drought monitoring and management is great of important. In contrast with the traditional methods which are based on the ground stations measurements and meteorological drought monitoring, using the remote sen...
متن کاملEvaluation of remote sensing indicators in drought monitoring using machine learning algorithms (Case study: Marivan city)
Remote sensing indices are used to analyze the Spatio-temporal distribution of drought conditions and to identify the severity of drought. This study, using various drought indices generated from Madis and TRMM satellite data extracted from Google Earth Engine (GEE) platform. Drought conditions in Marivan city from February to November for the years 2001 to 2017 were analyzed based on spatial a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Advances in Space Research
سال: 2021
ISSN: ['0273-1177', '1879-1948']
DOI: https://doi.org/10.1016/j.asr.2021.08.041