Analysis of forest cover change at Khadimnagar National Park, Sylhet, Bangladesh, using Landsat TM and GIS data

Redowan, Mohammad; Akter, Sharmin; Islam, Nusrat Sharmin

doi:10.1007/s11676-014-0467-9

Cited by 40 publications

(17 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, historical spatial and non-spatial studies of forest cover changes found that LUCC was driven by different factors over time. The various causes of forest decline have included; population growth, poverty, illicit felling, expansion of agricultural land and lack of appropriate policies [63,64,[76][77][78].…”

Section: Forest Covermentioning

confidence: 99%

A Synthesis of Studies on Land Use and Land Cover Dynamics during 1930–2015 in Bangladesh

et al. 2017

View full text Add to dashboard Cite

Land use and land cover (LULC) is dynamic and changes in it have important environmental and socio-economic consequences. The pathways and pace of change vary with space and time and are related to the interaction between human activities and biophysical conditions in an area. This study provides a systematic review of the changing status, patterns, and compositions of LULC in Bangladesh on national, regional, and local scales over the past 85 years. The primary LULC classes in Bangladesh are agricultural land, urban and built-up area, forest and vegetation, water bodies, and wetlands. Most of the country is covered with agricultural land, followed by urban areas; the latter has been expanding rapidly in the area surrounding the capital city, Dhaka, especially the southern capital area. Forest cover is mostly concentrated in southeast Bangladesh, the Chittagong district, and the mangrove forests are predominantly located in the southwest, with the Gangetic delta. High population growth, rapid urbanization, and infrastructure development have been directly associated with changing patterns of land use across the country. In recent decades, urban areas and water bodies have been increasing, to the detriment of both forests and agricultural land. Most of the studies reviewed here describe a general trend involving agricultural and forested land being transformed into urban areas.

show abstract

Section: Forest Covermentioning

confidence: 99%

A Synthesis of Studies on Land Use and Land Cover Dynamics during 1930–2015 in Bangladesh

et al. 2017

View full text Add to dashboard Cite

show abstract

“…However, recently, with the advent of powerful and high-speed computers, digital technique is used to integrate various conventional methods with satellite image/remote sensing (RS) techniques and geographical information system (GIS) technology. The GIS and RS tools are widely used for the assessment of various natural resources (Israil et al 2004;Solomon and Quiel 2006;Junge et al 2010;Abel and Tijani 2011;Kartic and Jatisankar 2012;Kuria et al 2012;Deepika et al 2013;Pandian and Kumanan 2013;Ayele et al 2014;Gitas et al 2014;Redowan et al 2014;Salari et al 2014). They are also effective tools for delineating the groundwater potential zones.…”

Section: Introductionmentioning

confidence: 99%

Delineation of groundwater potential zones in the Comoro watershed, Timor Leste using GIS, remote sensing and analytic hierarchy process (AHP) technique

et al. 2015

View full text Add to dashboard Cite

Groundwater plays an important role for socioeconomic development of Comoro watershed in Timor Leste. Despite the significance of groundwater for sustainable development, it has not always been properly managed in the watershed. Therefore, this study seeks to identify groundwater potential zones in the Comoro watershed, using geographical information systems and remote sensing and analytic hierarchy process technique. The groundwater potential zones thus obtained were divided into five classes and validated with the recorded bore well yield data. It was found that the alluvial plain in the northwest along the Comoro River has very high groundwater potential zone which covers about 5.4 % (13.5 km 2 ) area of the watershed. The high groundwater potential zone was found in the eastern part and along the foothills and covers about 4.8 % (12 km 2 ) of the area; moderate zone covers about 2.0 % (5 km 2 ) of the area and found in the higher elevation of the alluvial plain. The poor and very poor groundwater potential zone covers about 87.8 % (219.5 km 2 ) of the watershed. The hilly terrain located in the southern and central parts of the study area has a poor groundwater potential zone due to higher degree of slope and low permeability of conglomerate soil type. The demarcation of groundwater potential zones in the Comoro watershed will be helpful for future planning, development and management of the groundwater resources.

show abstract

“…The spatial resolution of Landsat Thematic Mapper/Enhanced Thematic Mapper Plus (TM/ETM+) images is 30 m, which is inappropriate when extracting fine spatial information and exploiting certain individual tree characterization, such as sub-canopy components. However, these images can be used in forest stand type or forest cover map extractions in larger regions (Gong et al 2013;Redowan, Akter, and Islam 2014). Moreover, some individual tree characteristics, such as timber volume, basal area, and tree height can also be exploited, no vertical structural data collected is the main limitation for capturing the tree height, but would be via lidar, synthetic aperture radar (SAR), or stereo-aerial photography collected.…”

Section: Introductionmentioning

confidence: 99%

Improving forest type classification using the vegetation local difference index

Chen

Zhao

et al. 2015

International Journal of Remote Sensing

View full text Add to dashboard Cite

A spatial feature extraction method was applied to increase the accuracy of land-cover classification of forest type information extraction. Traditional spatial feature extraction applications use high-resolution images. However, improving the classification accuracy is difficult when using medium-resolution images, such as a 30 m resolution Enhanced Thematic Mapper Plus (ETM+) image. In this study, we demonstrated a novel method that used the vegetation local difference index (VLDI) derived from the normalized difference vegetation index (NDVI), which were calculated based on the topographically corrected ETM+ image, to delineate spatial features. A simple maximum likelihood classifier and two different ways to use spatial information were introduced in this study as the frameworks to incorporate both spectral and spatial information for analysis. The results of the experiments, where Landsat ETM+ and digital elevation model (DEM) images, together with ground truth data acquired in the study area were used, show that combining the spatial information extracted from medium-resolution images and spectral information improved both classification accuracy and visual qualities. Moreover, the use of spatial information extracted through the proposed method greatly improved the classification performance of particular forest types, such as sparse woodlands.

show abstract

Analysis of forest cover change at Khadimnagar National Park, Sylhet, Bangladesh, using Landsat TM and GIS data

Cited by 40 publications

References 8 publications

A Synthesis of Studies on Land Use and Land Cover Dynamics during 1930–2015 in Bangladesh

A Synthesis of Studies on Land Use and Land Cover Dynamics during 1930–2015 in Bangladesh

Delineation of groundwater potential zones in the Comoro watershed, Timor Leste using GIS, remote sensing and analytic hierarchy process (AHP) technique

Improving forest type classification using the vegetation local difference index

Contact Info

Product

Resources

About