Cargando…

Identifying hotspots in land use land cover change and the drivers in a semi-arid region of India

The study examines long-term land use/land cover change (LUCC) at a finer scale in a semi-arid region of India. The objectives were to study and quantify the spatiotemporal LUCC and uncover the major drivers causing the change in the Mula Pravara river basin, which is located in a semi-arid region o...

Descripción completa

Detalles Bibliográficos
Autores principales: Duraisamy, Vijayasekaran, Bendapudi, Ramkumar, Jadhav, Ajit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6105204/
https://www.ncbi.nlm.nih.gov/pubmed/30128752
http://dx.doi.org/10.1007/s10661-018-6919-5
_version_ 1783349619376259072
author Duraisamy, Vijayasekaran
Bendapudi, Ramkumar
Jadhav, Ajit
author_facet Duraisamy, Vijayasekaran
Bendapudi, Ramkumar
Jadhav, Ajit
author_sort Duraisamy, Vijayasekaran
collection PubMed
description The study examines long-term land use/land cover change (LUCC) at a finer scale in a semi-arid region of India. The objectives were to study and quantify the spatiotemporal LUCC and uncover the major drivers causing the change in the Mula Pravara river basin, which is located in a semi-arid region of Maharashtra state, India. Advanced very high-resolution radiometer (AVHRR)-Normalized Difference Vegetation Index (NDVI) 3g data for the years 1982–2015 were used to identify the ‘hotspot’ with significant positive and negative LUCC. Multi-temporal Landsat imagery was used to produce finer scale land use maps. From 1991 to 2016, the agricultural land area increased by approximately 98% due to the conversion of uncultivable and fallow lands to agriculture. The built-up area increased by 195%, and in recent years, an urban expansion has occurred in agricultural lands close to the urban fringe areas. There has been a shift from food crops to commercial crops, as observed from the steep increase in the amount of land under horticultural plantations, by 1601% from 2001 to 2016. In addition, the area under forest canopy was reduced in the protected regions. Institutional factors that improved access to water resources were the major drivers of change in hotspots, especially in the context of agriculture. Technological and economic factors were the other supporting factors that contributed to the change. This study demonstrates the advantages of using satellite remote sensing techniques to monitor the LUCC, which is useful for predicting future land changes and aids in planning adaptation strategies.
format Online
Article
Text
id pubmed-6105204
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-61052042018-08-30 Identifying hotspots in land use land cover change and the drivers in a semi-arid region of India Duraisamy, Vijayasekaran Bendapudi, Ramkumar Jadhav, Ajit Environ Monit Assess Article The study examines long-term land use/land cover change (LUCC) at a finer scale in a semi-arid region of India. The objectives were to study and quantify the spatiotemporal LUCC and uncover the major drivers causing the change in the Mula Pravara river basin, which is located in a semi-arid region of Maharashtra state, India. Advanced very high-resolution radiometer (AVHRR)-Normalized Difference Vegetation Index (NDVI) 3g data for the years 1982–2015 were used to identify the ‘hotspot’ with significant positive and negative LUCC. Multi-temporal Landsat imagery was used to produce finer scale land use maps. From 1991 to 2016, the agricultural land area increased by approximately 98% due to the conversion of uncultivable and fallow lands to agriculture. The built-up area increased by 195%, and in recent years, an urban expansion has occurred in agricultural lands close to the urban fringe areas. There has been a shift from food crops to commercial crops, as observed from the steep increase in the amount of land under horticultural plantations, by 1601% from 2001 to 2016. In addition, the area under forest canopy was reduced in the protected regions. Institutional factors that improved access to water resources were the major drivers of change in hotspots, especially in the context of agriculture. Technological and economic factors were the other supporting factors that contributed to the change. This study demonstrates the advantages of using satellite remote sensing techniques to monitor the LUCC, which is useful for predicting future land changes and aids in planning adaptation strategies. Springer International Publishing 2018-08-20 2018 /pmc/articles/PMC6105204/ /pubmed/30128752 http://dx.doi.org/10.1007/s10661-018-6919-5 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Duraisamy, Vijayasekaran
Bendapudi, Ramkumar
Jadhav, Ajit
Identifying hotspots in land use land cover change and the drivers in a semi-arid region of India
title Identifying hotspots in land use land cover change and the drivers in a semi-arid region of India
title_full Identifying hotspots in land use land cover change and the drivers in a semi-arid region of India
title_fullStr Identifying hotspots in land use land cover change and the drivers in a semi-arid region of India
title_full_unstemmed Identifying hotspots in land use land cover change and the drivers in a semi-arid region of India
title_short Identifying hotspots in land use land cover change and the drivers in a semi-arid region of India
title_sort identifying hotspots in land use land cover change and the drivers in a semi-arid region of india
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6105204/
https://www.ncbi.nlm.nih.gov/pubmed/30128752
http://dx.doi.org/10.1007/s10661-018-6919-5
work_keys_str_mv AT duraisamyvijayasekaran identifyinghotspotsinlanduselandcoverchangeandthedriversinasemiaridregionofindia
AT bendapudiramkumar identifyinghotspotsinlanduselandcoverchangeandthedriversinasemiaridregionofindia
AT jadhavajit identifyinghotspotsinlanduselandcoverchangeandthedriversinasemiaridregionofindia