Ashbindu Singh

Abstract

The use of Landsat data for classifying forest lands have, often resulted in insufficiently high classification accuracy being obtained. Since topographic variables such as slope and aspect have a significant effect on spectral response as recorded on Landsat CCT, these variables can be incorporated to increase classification accuracy. A number of approaches have been developed to improve cJassificatory performance. In this paper various methods using ancillary data along with digital Landsat data for improving classification accuracy and problems associated with them have been discussed. Since digital remote sensing data is increasingly becoming part of geographic information systems, the way in which ancillary data are combined with spectral data and algorithms used in making decisions about class allocations need to be carefully considered and better developed than at present.

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Ashbindu Singh

Abstract

In this paper a forest cover classification system for use with remote sensor data suitable for Indian conditions has been proposed. The classification system takes into account the nature of remotely sensed data and is based on the parameter which can be directly interpreted on imagery or factors which effect the spectral response that are recorded by the sensor.

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Ashbindu Singh

Abstract

Remote sensing is the acquisition of information about an object without physical contact. Some of the commonly used remote sensing systems in forestry are-aerial photography, multispectral scanner and rader. Aerial photographs have been utilised in tropical forestry mostly for the stratification of forest types. Multispectral scanner (MSS) system observe the scene under the aircraft or satellite platform in a number of spectral wavebands. The most widely used MSS systems for vegetation studies bave been on board tbe Landsat series of satellites. Landsat data provide a synoptic view and repetitive coverage of large area. Landsat imagery have been applied by a number of agencies for tropical forest surveys using both visual and computer-assisted interpretation techniques. In some studies, coarse resolution, high temporal frequency meteorological satellite data been utilised for land cover mapping of very large areas. Radar imagery is considered to be an important source material for small-scale thematic mapping in equatorial zone because of its cloud peneteration capability. However, the coarse resolution of present generation of satellites has its obvious limitations in the near future, finer resolution data from a number of space systems are expected to provide basis for a more detailed analysis.

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Ashbindu Singh

Abstract

India's forests have been continuously declining in recent years due to a variety of reasons. The absence of virtually any reliable data base on the extent and rate of deforestation taking place in the country makes the establishment of a system of continuous operational monitoring of forest cover a necessity. The satellite technology has potential to form a basis for such a monitoring system at the national level.

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