Seasonal land cover changes and its effects on essential services of haor and non-haor areas of Kishoreganj district, Bangladesh

Abstract

The study examines the seasonal land cover changes (SLCC) and its effects on essential services of haor and non-haor areas of Kishoreganj district. SLCC is a regular event of this district, particularly in haors areas which are large bowl-shaped depressions and seasonal wetlands where water is covered for 6 months in a year. Both quantitative and qualitative approaches were followed in this study. SLCC is illustrated using maximum likelihood classification (MCL) by ArcGIS and integration of other remote sensing softwares (Erdas, Envi and Geomatica for image processing). Data were compiled from both secondary and primary sources. Secondary sources included a detailed review of published and unpublished documents and primary sources included field survey and interview survey like questionnaire survey, focus group interviewing (FGI) and key informants interview (KII). Based on questionnaire survey, bivariate analysis is performed and Pearson's Chi square test is used to investigate whether seasonal effect exists on essential services both in Haor and non-Haor areas. Satellite-based monitoring reveals that, on an average, during dry season waterbodies in haor upazilas is around 6%, but in the wet season it becomes 59% approximately. P value shows that there is a strong association between the effects of SLCC and essential services in haor areas, but no

Land use classification system in Bangladesh: Inconsistencies, their planning implications, and the way forward

“…Finally, the category 'Flood Management Area' has been proposed in the framework to identify areas that are subject to inundation during extreme tidal events and rainfall events, unlike "Water Body" and "Wetland" (CCC 2012; Ast & Barua 2011). As a low-lying riverine country, Bangladesh has a variety of water resources locally known as dighi, beel, haor, baor, etc., which have been included in the secondary levels (Nahar et al 2018) (see Supplement 1 for definitions).…”

“…Haor: Haor means any saucer-shaped, large, shallow depression created naturally in between two separate rivers. They are generally larger than beel (Bangladesh Water Act 2013;Nahar et al 2018).…”

Dynamics of Shrimp Farming in the Southwestern Coastal Districts of Bangladesh Using a Shrimp Yield Dataset (SYD) and Landsat Satellite Archives

“…Table 2. Land use/land cover (LULC) classes delineated based on supervised classification (based on [43,[50][51][52][53]). , and field visit were used to recognize and confirm the different features [42].…”

“…The polygons were drawn manually around the selected features to create regions of interest (ROIs). Confusion among the features was avoided by having satisfactory spectral reflectance wavelengths for each class [43]. Repeated segmentation and testing of previews of each land cover/use class helped to improve the accuracy [67].…”

“…A combination of remote sensing (RS) data and geographic information system (GIS) techniques helps us to study land cover changes at low cost and in less time [42]. Maximum likelihood (ML) [43][44][45], random forest (RF) [46], decision tree (DT) [47], support vector machine (SVM) [48], and neural network (NN) [49] classifiers are some of the conventional supervised land cover classification methods. Widely used image classification methods, such as ML [43,[50][51][52][53][54][55], work on a uniscale pixel-by-pixel basis and ignore multiscale information within the image and spatial information surrounding the pixels [56].…”