Evaluation of classification algorithms for land use land cover mapping in the snow-fed Alaknanda River Basin of the Northwest Himalayan Region
Authors:
- 5 September 2021
- journal article
- research article
- Published by Springer Nature in Applied Geomatics
- Vol. 13 (4) , 863-875
Abstract
No abstract availableKeywords
This publication has 58 references indexed in Scilit:
- Correction: Atzberger, C. Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs. Remote Sens. 2013, 5, 949–981Remote Sensing, 2013
- Widespread Climate Change in the Himalayas and Associated Changes in Local EcosystemsPLOS ONE, 2012
- Assessing impacts of Landuse and Landcover changes on hydrology for the upper San Pedro watershedJournal of Hydrology, 2011
- Improving the Accuracy of Land Use and Land Cover Classification of Landsat Data Using Post-Classification EnhancementRemote Sensing, 2009
- Impacts of land-use change on hydrologic responses in the Great Lakes regionJournal of Hydrology, 2009
- A survey of image classification methods and techniques for improving classification performanceInternational Journal of Remote Sensing, 2007
- Using landsat data to determine land use/land cover changes in Samsun, TurkeyEnvironmental Monitoring and Assessment, 2006
- Effects of large-scale changes in land cover on the discharge of the Tocantins River, Southeastern AmazoniaJournal of Hydrology, 2003
- Estimation and mapping of forest stand density, volume, and cover type using the k-nearest neighbors methodRemote Sensing of Environment, 2001
- Artificial neural networks for land-cover classification and mappingInternational Journal of Geographical Information Science, 1993