Mapping and Monitoring the Selected Wetlands of Punjab, India, Using Geospatial Techniques

dc.contributor.authorKumar, G
dc.contributor.authorSingh, K.K.
dc.date.accessioned2020-07-16T07:41:56Z
dc.date.accessioned2024-08-14T06:47:38Z
dc.date.available2020-07-16T07:41:56Z
dc.date.available2024-08-14T06:47:38Z
dc.date.issued2020
dc.description.abstractWetland inventories especially on their spatial extent are a prerequisite for management and conservation of any wetland. The advancement in geospatial techniques has offered a wide range of methodological applications to prepare the inventories and to understand the dynamics of wetlands. The freely available Landsat imagery has been widely used in extracting spatial and temporal information about wetlands. The literature suggests that wetland has declined all over the globe over the past few decades. This study aims to prepare land use/land cover information of three wetlands of Punjab (Harike, Ropar, and Nangal) through direct on screen digitization and through digital processing using automatic digital indices�as well. Evaluation of the performance of two band indices, normalized difference water index (NDWI) and modified normalized difference water index (MNDWI) is also taken up in the present study. Landsat data of two periods-1990/91 and of 2018 are used for the study to perform two band indices. The result indicates that the NDWI and MNDWI are less time consuming and serve the purpose of mapping and monitoring wetlands with higher accuracy. � 2020, Indian Society of Remote Sensing.en_US
dc.identifier.doi10.1007/s12524-020-01104-9
dc.identifier.issn0255660X
dc.identifier.urihttps://kr.cup.edu.in/handle/32116/2665
dc.identifier.urlhttps://link.springer.com/article/10.1007/s12524-020-01104-9
dc.language.isoen_USen_US
dc.publisherSpringeren_US
dc.subjectHarikeen_US
dc.subjectLandsat imagesen_US
dc.subjectLULCen_US
dc.subjectMNDWIen_US
dc.subjectNDWIen_US
dc.subjectWater dynamicsen_US
dc.subjectWetland mappingen_US
dc.titleMapping and Monitoring the Selected Wetlands of Punjab, India, Using Geospatial Techniquesen_US
dc.title.journalJournal of the Indian Society of Remote Sensingen_US
dc.typeArticleen_US
dc.type.accesstypeClosed Accessen_US

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