Assessment of drought with a real-time web-based application for drought management in humid tropical Kerala, India
- PDF / 1,270,599 Bytes
- 15 Pages / 547.087 x 737.008 pts Page_size
- 66 Downloads / 221 Views
Assessment of drought with a real-time web-based application for drought management in humid tropical Kerala, India Girish Gopinath & U. Surendran & S. Abhilash & K Ch. V NagaKumar & C. K. Anusha
Received: 22 May 2020 / Accepted: 5 October 2020 # Springer Nature Switzerland AG 2020
Abstract Geospatial techniques are useful for near realtime monitoring of drought and towards devising locallevel effective drought management plan. Based on the historic and current remote sensing data, one can identify the influence of drought on the vegetation status by analyzing the anomaly/drought condition of a particular area of interest (AOI) through different digital image processing techniques. In this study, an attempt has been made to develop a web-based application for generating drought maps and district-wise drought information at real time in the web server using Hypertext Preprocessor (PHP) and Python scripts. A web-based application was developed and drought conditions existing in the study area were understood both spatially and temporally. The results of the application showed distinct variation of drought prevalence within the administrative boundaries. This web-based application was validated with drought analysis carried out using different drought indices, viz., standard precipitation index and reconnaissance drought index. The results G. Gopinath : U. Surendran (*) : K. C. V. NagaKumar : C. K. Anusha Centre for Water Resources Development and Management (CWRDM), Kozhikode, Kerala 673 571, India e-mail: [email protected] G. Gopinath Kerala University of Fisheries and Ocean Studies, Cochin, Kerala, India S. Abhilash Department of Atmospheric Sciences, Cochin University of Science and Technology, Cochin, Kerala 682022, India
established that this validated approach could be used for developing disaster management plan well in advance to combat the consequences of drought across the globe and to evolve strategic decisions which will have implications in the various sectors of the economy. Keywords Agricultural drought . Geospatial techniques . NDVI . Python . Remote sensing . Vegetation anomaly
Introduction Drought is a normal, recurring feature of climate; it occurs virtually in all climatic regimes (Wilhite 1992). It should be considered relative to some long-term average condition rather than absolute condition (Wilhite and Svoboda 2000). Drought is considered by many to be the most complex but least understood of all natural hazards, affecting more people than any other hazards (Hagman 1984; Kaur and Sood 2020). Recent studies shows that global warming changes are explained by remote sensing, focusing on the sustainability assessment of ecosystem linkage. Scenarios can be developed with high-quality remote sensing satellite imageries. Monitoring using remote sensing images provides consistent and comprehensive information to complement management and ground-based information. There are a lot of studies for carbon emission including indoor and outdoor areas, especially urban cities, park, agricultural area
Data Loading...
