LU/LC Map and Digital Elevation Model of Jharia Town using RS-GIS (Paperback)

The purpose of this book is to explore the utility of remotely sensed data acquired for land-use /land-cover (LULC) classifications. The Resourcesat-1 Data is a high resolution (i.e. 5.8-meter), multispectral (3 bands: red, green and near infrared) dataset. Resourcesat-1 imagery has been selected for this study because of its low cost and potential for small scale land use and land cover classifications similar to the success the Landsat (30 meter, multispectral: 7 band) imagery has achieved with large scale classifications. The study has been done using a subdivision in Jharia Coal Field region i.e. Jharia town and the surrounding (rural) property. Supervised (parametric and nonparametric) classification procedures were conducted for the Jharia town area using ERDAS Imagine 9.2. Random sample points were generated for accuracy assessment via a ground based visual assessment of each point's LULC class. By using a 6 class LULC scheme, a supervised classification of the Resourcesat-1 imagery resulted in classification accuracy of 83.07%.

General

Imprint:	Lap Lambert Academic Publishing
Country of origin:	United States
Release date:	May 2013
First published:	May 2013
Authors:	Sachin Sharma • Mayank Srivastava • Somesh Sengupta
Dimensions:	229 x 152 x 6mm (L x W x T)
Format:	Paperback - Trade
Pages:	92
ISBN-13:	978-3-659-40465-8
Categories:	Books > Professional & Technical > Technology: general issues > General
LSN:	3-659-40465-9
Barcode:	9783659404658

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!