Geographical Information System(GIS) based Agricultural Drought Assessment: A Knowledge Based Methodology

نویسنده

  • S. Sampath Kumar
چکیده

Agricultural drought is considered to be one of the man’s worst natural enemy. Its beginning is subtle, its progress is insidious and its effect can be devastating. In a country like India, drought is considered to be a major factor of uncertainty due to vagarious of monsoon. Once there was not effective drought assessment and monitoring system, but now remote sensing plays an important role and the facilities like Geographic Information System(GIS) facilitate effective drought assessment and monitoring. The methodology list out an assessment and monitoring procedure for Agricultural drought for a given district. Interpretation of satellite based vegetation index(VI) with their ground parameter through GIS. For this study different maps viz, Landuse map, Soil map, Mandal/Municipal map, Hydrogeological map and data’s viz Rainfall, Ground water levels, Major Crop sown details, Source wise irrigation details need to be collected, digitised and entered in the database. From the created database agricultural landuse area should be extracted and VI need to be generated. This generated Vegetative Index and the available fortnightly Rainfall data of couple of years from the current years assessment should be plotted against time(fortnightly interval) for the selected mandals/municipalities constituting different crops, soil and rainfall distribution. Based on the normal crop performance of previous years, the relative drought assessment for the current year should be made, and the drought severity level is obtained. The results may isolate few from the selected mandals/municipalities which may fall under mild/moderated drought level.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Risk assessment of drought disaster in the maize-growing region of Songliao Plain, China

This study presents a methodology for risk analysis and assessment of drought disaster to agricultural production in the maize-growing area of Songliao Plain of China based on Geographical Information Systems (GIS) from the viewpoints of climatology, geography, disaster science, and environmental science and so on. Crop yield–climate analysis and regression analysis were employed to analyze and...

متن کامل

An integrated drainage network analysis system for agricultural drainage management. Part 1: the system

This is the ®rst of two papers that elaborate an integrated drainage network analysis system (IDNAS) for agricultural drainage management. In this paper, the system components, functions and implementation are presented. The IDNAS comprises an agricultural drainage network module, an evapotranspiration (ET) module and an event-based spatio-temporal module. The network module is designed to mode...

متن کامل

Using of geographical information systems (GIS) in the ecosystems assessment on the landscape level: Case study from the Czech Republic

Remote sensing and GIS (geographical information systems) are very important methods for assessment of changes and development of ecosystems in the landscape level. This article deals with applying of remote sensing and GIS methods to assessment of ecosystems in agricultural landscape in the Horňácko region, extending to the White Carpathians Mountains Protected Landscape Area (Czech Republic)....

متن کامل

Enhancing Information Portals with Internet-based GIS

The advancement of Internet technologies and geographical information systems (GIS) have opened up new opportunities for the application of Internet-based GIS in the context of information and knowledge management. Based on the observation that almost every type of information resource has some geographical relationship this paper introduces how GIS can be used as search components in informati...

متن کامل

Monitoring meteorological and agricultural drought dynamics in Barind region Bangladesh using standard precipitation index and Markov chain model

The Barind region of Bangladesh suffers from frequent drought due to poor and delayed rainfall in pre monsoon and monsoon season. In the present study details analysis of rainfall data has been carried out for the years 1971-2010. Two well known drought indices, Standard precipitation index (SPI) has been used to evaluate the precipitation deficit, and Markov chain model used to quantify the dr...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014