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...

to evaluate the capability of irs-p6 liss-iii data to be employed for monitoring the pollarding forest areas in northern zagros, some parts of pollarded forests located around baneh city were selected as a case study area. the pollarding area was determined as the ground truth in a 3-year alternation period using a global positioning system (gps). radiometric and geometric corrections were appl...

An investigation was carried out to determine the morpho-physical status of soils Kanamadi South sub- watershed in Karnataka state India. A detailed soil survey sub using IRS P6 LISS-IV image and a total ten pedon location which were well distributed sub-watershed selected. The shallow deep. Colour pedons varied from 10 YR 2/1 (black) 4/3 (brown). Soil texture clay loam, having loose moderately...

the preparation of vegetation cover maps by used the land inventory and a traditional method has a lot of cost and time. but today, remote sensing is one of the main sources of data collection and information production for study and monitoring land resources, and was efficient tools for providing quickly and timely data and information needs for program planning in the natural resource filed. ...

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...

Resourcesat-1 satellite offers a unique opportunity of simultaneous observations at three different spatial scales through LISSIV, LISS-III (improved LISS-III) and AWiFS sensors from a common platform. The sensors have enhanced capabilities in terms of spectral, spatial and radiometric resolution as compared to earlier Indian Remote sensing Satellite sensors. This paper summarizes the results o...

In Part I of this paper, an operational fully automated Landsat-like image spectral rule-based decision-tree classifier (LSRC), suitable for mapping radiometrically calibrated sevenband Landsat-4/-5 Thematic Mapper (TM) and Landsat-7 Enhanced TM+ (ETM+) spaceborne images [eventually synthesized from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and the Moderate Reso...