Objects on the surface of earth describe unique patterns in time and this is exploited in the proposed land cover classification method enumerated in this paper. The applicability of various distance measures to reasonably find similarity or dissimilarity between time series vegetation index patterns for land cover classification is demonstrated. These distance metrics have inherent advantages ...

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...

To determine the suitable indices for vegetation cover and production assessment based on the remote sensing data, simultaneous digital data with field data belonging to the spring rangeland of the Semirom-Isfahan province were analyzed. During two years of monitoring the annual, grass, forb, and shrub vegetation cover and the total production data from 86 were collected. The Global Positioning...

For many applications (e.g., disaster management, precision farming), it is required to monitor events using multi-date satellite imagery acquired over the same area. This requirement can be best met with a set of satellites whose radiometric characteristics are fully modelled. Even though there is a gamut of satellites with identical or near-identical radiometric characteristics, systematic di...

In Bayesian image processing Maximum a Posterior (MAP) Probability is achieved by minimizing the global posterior energy, where the posterior energy is the combination of prior and conditional energy function. In Markov Random Field (MRF) based contextual image classification and restoration process, Simulated Annealing (SA), a stochastic relaxation technique has been used by researchers to est...

Over Himalayas, the detection of seasonal snow cover variations via remote sensing is challenging due to presence rugged terrain and shadow effects. Moreover, traditional per-pixel-based change methods less competent identify inner-pixel subtle with coarse resolution satellite imagery. In present work, we have proposed subpixel-based (SCD) algorithm examine impact topographic correction (TC) on...