Application of Earth Observation Data and Standardized Precipitation Index Based Approach for Meteorological Drought Monitoring, Assessment and Prediction Over Kutch, Gujarat, India

Abstract

Drought is a natural phenomenon which differs from other natural hazards by its slow accumulating process and its indefinite commencement and termination. The present study addresses water deficiency and drought occurrence over Kutch district, Gujarat, because nearly 45% of the whole Kutch district is severely suffering by deficiency of water. Earth observation data (LANDSAT ETM+) and Standardized Precipitation Index were used to analyze drought severity. Daily rainfall data over the study area were obtained from Indian Meteorological Department (IMD) for the period of study and geo-referenced for further analyses. Using Remote Sensing and GIS techniques, rainfall variability map over the period of study has been prepared to show rainfall distribution and land use and land cover map is prepared to show the area under different land use classes and impacts of drought over land uses. Standardized Precipitation Index (SPI) was generated for each block wise and scenario of drought development has been analyzed using decadal data set for the study period . The present study suggests method and techniques for continuous drought monitoring by linking temporal earth observation and rainfall data. The methodology will be very useful for the development of a regional drought monitoring system.

A Probabilistic Weighted Joint Aggregative Drought Index (PWJADI) criterion for drought monitoring systems

“…The presence of several drought indices with their variant structures are challenging for comparative assessment and regional analysis of drought because of diverging trends (Bhuiyan, 2004;Stagge et al, 2016) and the use of general circulation model (Touma et al, 2015). The SPI drought index is commonly used due to its simplicity and worldwide acceptability (Guttman, 1999;Das et al, 2016;Juliani and Okawa, 2017;Mondol et al, 2017).…”

Analysis of Optimum Growth Stages for Winter Crop Separability using Multi-Temporal NDVI Profiles in Vijapur Taluka, Gujarat State

“…This indicates that the growth cycles of these winter crops are slightly different. The location map of the study area of Vijapur Taluka in Mahesana district is given in Figure-1 (Das et al, 2016;Chauhan, et al, 2021).…”

Komparasi Antara Climate Hazards Group Infrared Precipitation With Stations (Chirps) Dan Global Precipitation Measurement (Gpm) Dalam Membangkitkan Informasi Curah Hujan Harian Di Provinsi Jawa Timur

“…Curah hujan merupakan salah satu parameter iklim yang digunakan secara luas pada bidang pertanian, hidrologi, dan lingkungan. Sebagai contoh, data curah hujan digunakan untuk memprediksi dan monitoring kekeringan (Karavitis, Alexandris, Tsesmelis, & Athanasopoulos, 2011;Zhu et al, 2019;Das, Choudhury, Gandhi, & Joshi, 2016;Mishra & Nagarajan, 2011;Nosrati & Zareiee, 2011), banjir (Vieux & Bedient, 1998;Orupabo, Hart, & Okwere, 2015;Duncan, Chen, Keedwell, Djordjević, & Savić, 2012;Winter et al, 2019), perencanaan jaringan irigasi (Hydrology Subcommittee, 1982;Dirjen Sumber Daya Air, 2013), manajemen sumberdaya air (Biao & Alamou, 2018;Messakh, Sabar, Hadihardadja, & Duppe, 2013;Barua, Muttil, Ng, & Perera, 2013), kajian erosi (Faisol & Indarto, 2010), dan sebagainya. Pada umumnya curah hujan diukur menggunakan rain gauge atau dikenal dengan pluviometer, ombrometer, dan hygrometer.…”