Land-surface processes are one of the important drivers for weather and climate systems over the tropics. Realistic representation of land surface processes in mesoscale models over the region will help accurate simulation of numerical forecasts. The present study examines the influence of Land Use/ Land Cover Change (LULC) on the forecasting of cyclone intensity and track prediction using Meso...

Pulicat Lake is one of the major wetlands in India. It is the second largest brackish water lagoon in India next to Chilika Lake in Orissa state. Pulicat Lake sits beside the Bay of Bengal so, the study on the mouth is vital. The investigations were carried out by using multi-temporal satellite imageries of IRS P6, LISS III data for four years viz., 2009, 2011, 2012 and 2013. Subsequent changes...

Landslides are amongst the most damaging natural hazards in the mountainous terrain like Himalaya. The study of landslides has drawn worldwide attention mainly due to increasing awareness of socio-economic impacts of landslides. Remote sensing images provide many useful land use information to combine in a GIS environment with other spatial factors influencing the occurrence of landslide. The l...

A nonparametric neural network model based on Rough-Fuzzy Membership function, multilayer perceptron, and back-propagation algorithm is described. The described model is capable to deal with rough uncertainty as well as fuzzy uncertainty associated with classification of remotely sensed multi-spectral images. The input vector consists of membership values to linguistic properties while the outp...

Many Indian capitals are rapidly becoming megacities due to industrialization and rural–urban emigration. Land use within city boundaries has changed dynamically, accommodating development while replacing traditional land-use patterns. Using Landsat-8 and IRS-P6 data, this study investigated land-use changes in urban and peri-urban Hyderabad and their influence on land-use and land-cover. Advan...

This study attempts to measure and characterize urban sprawl using its multiple dimensions in the Jamnagar city, India. The study utilized the multi-date satellite images acquired by CORONA, IRS 1D PAN & LISS-3, IRS P6 LISS-4 and Resourcesat-2 LISS-4 sensors. The extent of urban growth in the study area was mapped at 1:25,000 scale for the years 1965, 2000, 2005 and 2011. The growth of urban ar...

urbanization and population growth along with an increase in the environmental pollution resulting from human activities which have dramatically changed the green space and land cover have been key factors in the sustainable development of land and the management of land use. to collect reliable data required for providing land cover maps as well as for investigating the environment, remote sen...

This paper describes the methodology developed and implemented for Remote Sensing DataBase (RSDB) preparation from multitemporal and multi-sensor data from Indian earth observation satellites. The characteristics of the RSDB prepared over parts of IndoGangetic Basin and Central India (IGB&CI) are summarised. An approach for extraction of long term (1988-89 to 2004-05) Land Use / Land Cover (LUL...