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RISS 인기검색어
- 검색키워드
- 저자 : Mehebub Sahana (검색결과 3 건)
- 무료
- 기관 내 무료
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Driving force for forest fragmentation explored by land use change in Song watershed, India
Mehebub Sahana,Raihan Ahmed,Purva Jain,Haroon Sajjad 대한공간정보학회 2016 Spatial Information Research Vol.24 No.6
This study attempts to assess forest fragmentation and degradation in response to land use/land cover changes in Song watershed, India during 1998–2014. Landsat TM and Landsat 8 OLI satellite data across two dates (1998 and 2014) were used to analyze land use/land cover change and its impact on forest cover. The extent of forest degradation was analyzed using fragmentation model. Four categories of disturbance viz. core, perforated, edge and patch were obtained using 200 meters edge width. The result shows overall decrease of 7% in area under forest over 16 years. Area under open forest, mixed land use/land cover I (agriculture, forest and built up) and mixed land use/land cover III (agriculture and built up) has significantly increased while area under dense forest has decreased during the study period. Fragmentation model revealed lots of disturbance in forest located in mixed land use/land cover areas. Perforated and patch classes of forest have experienced a significant increase in their respective areas while core area has decreased at the expense of other fragmentation classes. Degradation of forest occurred at large scale at Hrishikesh and Thano forest ranges of Dehradun district and Gadol range in Tehri Garhwal district lying in the watershed. Rishikesh city in Dehradun district located in southern part of watershed recorded increase in patches due to developmental activities. Remote sensing and fragmentation model showed their effectiveness in analyzing forest degradation and monitoring the health of the forest in the watershed.
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Mehebub Sahana,Shyamal Dutta,Haroon Sajjad 서울시립대학교 도시과학연구원 2019 도시과학국제저널 Vol.23 No.2
Land transformation as a result of unprecedented urbanization has introduced changes in local climate and surface energy budget. Land surface temperature (LST) is an important factor influencing local climate and ecology. Mumbai being second largest populated city is experiencing significant changes in land use/land cover (LULC) and surface energy fluxes. Hence, the main objective of the study is to assess the spatial variation in land surface temperature due to land use/land cover change. Several indices like; Normalized difference vegetation index (NDVI), normalized difference moisture index (NDMI), modified normalized difference water index (MNDWI) and normalized difference built up index (NDBI) were derived to validate the spatial variability of LST in different land use/land cover classes. The study utilized Landsat5/TM and Landsat8/TIRS data for assessing land transformation and its relation with LST in Mumbai city. January, June and October months of three time series 1990, 2000 and 2015 were chosen as representative of three seasons to analyze variation in LST. Pixel to pixel overlay analysis for different indices and LST was carried out to examine the relation of LST with different indices. The study revealed the maximum change in LST was recorded during the month of June over the study period. Land transformation from vegetation and agricultural land to urban built up has been found to be the main cause of increased LST in the study area. The finding of the study may help in promulgating sustainable urban land use policies and avoiding the effect of urban heat island.
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Shyamal Dutta,Mehebub Sahana,Sanat Kumar Guchhait 대한공간정보학회 2017 Spatial Information Research Vol.25 No.3
With the increasing degradation and encroachment of natural landscape environmentalists are now highly concerned with declining forest cover as well as increasing forest fragmentation at different scales across the world for last several decades. Considering the major fourfold effect of forest fragmentation i.e., reduction in habitat area, increased number of fragmented habitats, decrease in area coverage of habitat patch and increased number of isolated patches forest fragmentation is recognized as a major threat to forest ecosystems. Indicators of forest fragmentation are thereby gaining gradual importance at national and international environmental programs. But Spatio-temporal change of forest cover using forest fragmentation along with incorporation of population growth and associated anthropogenic intervention, at a micro-spatial scale has become the major thrust area in the present study. Kanksa is one of the few forest dominated block in Barddhaman District mostly affected by the rapid population growth, land use change in terms of increase in irrigated area as well as agricultural land, rapid urbanization in the last three decades. Present study focuses on forest fragmentation and spatio-temporal dynamics of forest cover from the beginning of 1990s up to present using geospatial techniques.
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