Disclaimer This document describes work undertaken as part of a programme of study at the Indian Institute of Remote Sensing and International Institute for Geo-information Science and Earth Observation. All views and opinions expressed therein remain the sole responsibility of the author, and do not necessarily represent those of the institute. Abstract Remote sensing technologies provide a un...

A technique has been suggested for multisensor data fusion to obtain landcover classification. It takes care of feature level fusion with Dempster-Shafer rule and data level fusion with Markov Random Field model based approach vis-a-vis for determining the optimal segmentation. Subsequently, segments are validated and classification accuracy for the test data is evaluated. Two illustrations of ...

The concept of chromosome differentiation, commonly witnessed in nature as male and female sexes, is incorporated in genetic algorithms with variable length strings for designing a nonparametric classification methodology. Its significance in partitioning different landcover regions from satellite images, having complex/overlapping class boundaries, is demonstrated. The classifier is able to ev...

The study aimed at evaluating the socio-economic impact of landcover / landuse changes in Owerri Municipal, Imo State, Nigeria using remote sensing and GIS with a view to improving quality life social development through its objectives; identify pattern area for period 30 years i.e. 1987 2002 2017, evaluate environmental these predict future area. methodology adopted this involved sourcing sate...

Land-cover mapping is important for urban planning and management, current land-cover products are unable to meet the needs of cities due frequent land surface changes. In this study, based on L2HNet network, we generate a high-resolution product Wuhan its surrounding areas. paper, adopt simplified by removing CAS L2H loss module shorten cycle time entire process. The process used ESA LandCover...

This paper investigates the potential of joint use of multitemporal/polarization C-band SAR data for landcover classification. Multitemporal ENVISAT ASAR data with vv polarization and Radarsat-1 data with hh polarization are used in this study. The presented classification scheme consists of two analytical steps: one for feature extraction and the other for combination of features. A traditiona...

Using a climate version of a regional atmospheric model, we show that the seasonal evolution of weather is dependent on the initial soil moisture and landscape specification. Coupling this model to a land-surface model, the soil moisture distribution and landscape are shown to cause a significant nonlinear interaction between vegetation growth and precipitation. These results demonstrate that s...