Remote Sensing and GIS for the Spatio-Temporal Change Analysis of the East and the West River Bank Erosion and Accretion of Jamuna River (1995-2015), Bangladesh

Abstract

Jamuna River is one of the principal rivers of Bangladesh, changing continuously due to erosion and accretion over the past decades. This analysis evaluates the East Bank and the West Bank erosion and accretion between 1996 and 2015 for Jamuna River. An unsupervised classification algorithm and post-classification change employing skills in Geographic Information System are performed to evaluate spatial and temporal dynamics of erosion and accretion for different points of Jamuna River using Bangladesh. Landsat image (1995, 2005, 2015). The correctness of the Landsat-produced map ranges from 82% to 84%. It has been evidently observed that changes in the proportion of erosion and accretion differ in different points of Jamuna River. The highest eroded area is 3.82 square kilometers (km

Assessment of Irrigation Water Quality of Pabna District (North-Western Part) of Bangladesh for Securing Risk-Free Agricultural Production

“…Floodplain region have less chances to pollute water than hill soil [23]. On the same way, Padma river has less chance to riverbank erosion than other rivers like Jamuna [24] A total of twenty water samples were collected from various sites Samples were collected from 5 Deep Tubewells Water (DTW), 5 Shallow Tubewells Water (STW), 5 rivers and 5 canals. Each sample was a composite of 10 subsamples to minimize error and heterogeneity.…”

Remote Sensing-Based Research for Monitoring Progress towards SDG 15 in Bangladesh: A Review

“…Other studies focused on creating LSMs for the two largest urban parts of the CHA-Chittagong Metropolitan Area (CMA) [73,74] and Cox's Bazar municipality [75], as well as for landslide prone Rangamati district [76]. Landsat TM and OLI images Methodologically, many of these studies used remote sensing products as supporting tools to identify land degradation prone areas and calculate land loss or gain (e.g., [33,64,65]. These studies used digitization techniques on satellite imageries (i.e., on-screen digitization).…”

“…Alternatively, Hazra et al (2016) compared the fractal dimension index and shape index while analyzing the changes in shapes of islands over time [33]. Instead of demarcating the land-water boundary, Hassan et al, (2017) used a classification approach to calculate the amount of land converted to water [64]. Some of the studies used remote sensing products as ancillary information sources.…”

“…(A) represents the location-wise range of erosion/accretion rate. (B) demonstrates study and location-wise specific erosion/accretion rate[54][55][56]58,59,61,62,64].…”

GIS and Remote Sensing Based Assessment of West Rapti River Channel Migration in Nepal

“…Over time, these bends can migrate laterally, causing the river channel to shift its position. Globally, many studies in uvial geomorphology have been applying geospatial technology, such as those in the United States on the Lower Yuba River and Lower Mississippi River [28,25], China on the Yellow River and the Ningxia-Inner Mongolia reaches of the Yellow River [69, 71,72], Australia on the lower Pages River [20], Italy's Piave river and Tammaro River [36,59] , the Manu River of East India [17], Jamuna River of Bangladesh [11,29], Spain on Jarama and Tagus rivers and several rivers reaches on Ebro basin [64,9].…”