Zobrazeno 1 - 10
of 125
pro vyhledávání: '"Swapan Talukdar"'
Autor:
Shahfahad, Mohd Waseem Naikoo, Tanmoy Das, Swapan Talukdar, Md. Sarfaraz Asgher, Asif, Atiqur Rahman
Publikováno v:
Geology, Ecology, and Landscapes, Vol 8, Iss 3, Pp 287-305 (2024)
In the cities of developing countries like India, rapid and uncontrolled urbanization has been taking place due to continuous population growth in last few decades. As a result, land use/land cover (LU/LC) is changing very fast in the cities of devel
Externí odkaz:
https://doaj.org/article/b4390b654e3e4d6682855023baec3929
Autor:
Showmitra Kumar Sarkar, Rhyme Rubayet Rudra, Swapan Talukdar, Palash Chandra Das, Md. Sadmin Nur, Edris Alam, Md Kamrul Islam, Abu Reza Md. Towfiqul Islam
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract The aim of the study was to estimate future groundwater potential zones based on machine learning algorithms and climate change scenarios. Fourteen parameters (i.e., curvature, drainage density, slope, roughness, rainfall, temperature, relat
Externí odkaz:
https://doaj.org/article/86a069deaf6c4fe787d1861bcc83261b
Autor:
Tanmoy Das, Swapan Talukdar, Shahfahad, Mohd Waseem Naikoo, Ishita Afreen Ahmed, Atiqur Rahman, Md Kamrul Islam, Edris Alam
Publikováno v:
Progress in Disaster Science, Vol 23, Iss , Pp 100357- (2024)
The east coast of India, especially the coastal region of Odisha, is highly threatened by tropical cyclones. This study develops a detailed risk map for tropical cyclones in the coastal districts of Odisha at the micro level, focusing on the assessme
Externí odkaz:
https://doaj.org/article/309b93f6e0e14d9a96a20a370b0f88d7
Publikováno v:
Heliyon, Vol 10, Iss 4, Pp e25731- (2024)
This study aims to quantitatively and qualitatively assess the impact of urbanisation on the urban ecosystem in the city of Abha, Saudi Arabia, by analysing land use changes, urbanisation processes and their ecological impacts. Using a multidisciplin
Externí odkaz:
https://doaj.org/article/c45c7246d626486db150323d53b9ed90
Autor:
Showmitra Kumar Sarkar, Rhyme Rubayet Rudra, Abid Reza Sohan, Palash Chandra Das, Khondaker Mohammed Mohiuddin Ekram, Swapan Talukdar, Atiqur Rahman, Edris Alam, Md Kamrul Islam, Abu Reza Md. Towfiqul Islam
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract Soil salinity is a pressing issue for sustainable food security in coastal regions. However, the coupling of machine learning and remote sensing was seldom employed for soil salinity mapping in the coastal areas of Bangladesh. The research a
Externí odkaz:
https://doaj.org/article/6e212dbfcc684e49943c1f7c11198719
Autor:
Biplab Sarkar, Abdur Rahman, Aznarul Islam, Atiqur Rahman, Sk. Mafizul Haque, Swapan Talukdar, Abu Reza Md Towfiqul Islam, Subodh Chandra Pal, Chaitanya B. Pande, Edris Alam, Alireza Arabameri
Publikováno v:
Geocarto International, Vol 39, Iss 1 (2024)
AbstractThe increasing soil erosion (SE) and the associated problems for society, economy, and environment sparked a lot of interest in estimating and mapping SE at different basin scales. The estimation of SE exhibits that SE ranges from 10 to 50 t
Externí odkaz:
https://doaj.org/article/ebffa55273764a9eae65ee32bc7ba428
Autor:
Shahfahad, Swapan Talukdar, Mohd Waseem Naikoo, Atiqur Rahman, Alexandre S. Gagnon, Abu Reza Md Towfiqul Islam, Amirhosein Mosavi
Publikováno v:
Geocarto International, Vol 38, Iss 1 (2023)
Since its advent in 1972, the Landsat satellites have witnessed consistent improvements in sensor characteristics, which have significantly improved accuracy. In this study, a comparison of the accuracy of Landsat Operational Land Imager (OLI) and OL
Externí odkaz:
https://doaj.org/article/520c4eacb37945a1ba031f5f19257c82
Publikováno v:
Frontiers in Ecology and Evolution, Vol 11 (2023)
Soil erosion is a major problem in arid regions, including the Abha-Khamis watershed in Saudi Arabia. This research aimed to identify the soil erosional probability using various soil erodibility indices, including clay ratio (CR), modified clay rati
Externí odkaz:
https://doaj.org/article/2a8dc968c25c4133af8f2f913f393acf
Autor:
Swapan Talukdar, Javed Mallick, Showmitra Kumar Sarkar, Sujit Kumar Roy, Abu Reza Md. Towfiqul Islam, Bushra Praveen, Mohd Waseem Naikoo, Atiqur Rahman, Mohoua Sobnam
Publikováno v:
Applied Water Science, Vol 12, Iss 4, Pp 1-22 (2022)
Abstract The present study aimed to create novel hybrid models to produce groundwater potentiality models (GWP) in the Teesta River basin of Bangladesh. Six ensemble machine learning (EML) algorithms, such as random forest (RF), random subspace, dagg
Externí odkaz:
https://doaj.org/article/21889c85f3d54161ba4a0094bd1f5b71
Publikováno v:
Applied Water Science, Vol 12, Iss 4, Pp 1-19 (2022)
Abstract The present research aims to build a unique ensemble model based on a high-resolution groundwater potentiality model (GPM) by merging the random forest (RF) meta classifier-based stacking ensemble machine learning method with high-resolution
Externí odkaz:
https://doaj.org/article/6aea81d9a0b64e358abf544cade13028