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Mohammad Redowan
Mohammad Redowan
Faculty, Dept. of Forestry and Environmental Science, Shahjalal University of Science and Technology
在 sust.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Community attitudes toward forest conservation programs through collaborative protected area management in Bangladesh
MSH Chowdhury, C Gudmundsson, S Izumiyama, M Koike, N Nazia, ...
Environment, development and sustainability 16, 1235-1252, 2014
682014
Analysis of forest cover change at Khadimnagar National Park, Sylhet, Bangladesh, using Landsat TM and GIS data
M Redowan, S Akter, N Islam
Journal of forestry research 25, 393-400, 2014
562014
Ecotourism carrying capacity and the potentiality of the Safari Park of Bangladesh
KM Masum, A Al Mamun, ZMM Rahman, MM Rahman, MS Newaz, ...
Journal of forest and environmental science 29 (4), 292-299, 2013
242013
Spatial pattern of tree diversity and evenness across forest types in Majella National Park, Italy
M Redowan
Forest Ecosystems 2, 1-10, 2015
182015
Textile effluents changes physiochemical parameters of water and soil: Threat for agriculture
AH Kanan, SS Marine, F Raihan, M Redowan, M Miah
African Journal of Agronomy 2 (10), 219-223, 2014
142014
Eucalyptus as agroforestry component in the homestead and agricultural field of Sitakunda, Bangladesh.
R Ahmed, M Redowan, MS Uddin, MK Hossain
122007
Monitoring groundwater potential dynamics of north-eastern Bengal Basin in Bangladesh using AHP-Machine learning approaches
B Dey, KAM Abir, R Ahmed, MA Salam, M Redowan, MD Miah, MA Iqbal
Ecological Indicators 154, 110886, 2023
112023
Potentials and limitations of NDVI and other vegetation indices (VIs) for monitoring vegetation parameters from remotely sensed data
M Redowan, AH Kanan
Bangladesh Res. Pub. J 7 (3), 291-299, 2012
102012
Phenology-based classification of Sentinel-2 data to detect coastal mangroves
S Mahmud, M Redowan, R Ahmed, AA Khan, MM Rahman
Geocarto International 37 (26), 14335-14354, 2022
72022
CLASlite unmixing of Landsat images to estimate REDD+ activity data for deforestation in a Bangladesh forest
M Redowan, S Phinn, C Roelfsema, AA Aziz
Journal of Applied Remote Sensing 14 (2), 024505-024505, 2020
62020
REDD+ project design study for quantifying activity data for historic forest degradation in a Bangladesh forest using Landsat data
M Redowan, S Phinn, C Roelfsema, AA Aziz
Journal of Applied Remote Sensing 13 (4), 046518-046518, 2019
62019
Estimating growing stock volume in a Bangladesh forest site using Landsat TM and field-measured data
M Redowan, R Akter, M Islam, KM Masum, MSH Chowdhury
International Journal of Geomatics and Geosciences 6 (2), 1607-1619, 2015
62015
Textile effluents changes physiochemical parameters of water and soil: Threat for agriculture
KA Hossain, SS Marine, F Raihan, M Redowan, MD Miah
African Journal of Agronomy 2, 219-223, 2014
62014
A study on maximization of land use with associated crops other than tea and management
M Redowan, AH Kanan
Int. J. of Ecol. and Devt 25 (2), 57-70, 2013
62013
Satellite estimation of emission factors and emissions of biomass-carbon due to deforestation and forest degradation in Bangladesh for a REDD+ program
M Redowan, S Phinn, C Roelfsema, AA Aziz
Journal of Applied Remote Sensing 15 (1), 014510-014510, 2021
52021
Tree diversity detection with mid-resolution images and environmental data in a neural network
M Redowan
Journal of the Indian Society of Remote Sensing 41, 567-576, 2013
52013
Modeling forest cover dynamics in Bangladesh using multilayer perceptron neural network with Markov chain
M Redowan, S Phinn, C Roelfsema, AA Aziz
Journal of Applied Remote Sensing 16 (3), 034502-034502, 2022
42022
Textile effluents physiochemical parameters of water and soil: Threat for agriculture
AH Kanan, SS Marine, F Raihan, M Redowan, MD Miah
African journal of Agronomy 2 (10), 129-223, 2014
32014
A pot experiment to evaluate the allelopathic potential of leaf extracts of Eucalyptus camaldulensis on five common agricultural crops.
R Ahmed, M Redowan, MS Uddin, MK Hossain
22007
Mapping forest dynamics in Bangladesh from satellite images: Implications for the global REDD+ program
M Redowan
12019
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