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Environmental Science and Pollution Research International
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May 18, 2024
RETRACTED ARTICLE: Examining the relationship between atmospheric pollutants and meteorological factors in Asansol city, West Bengal, India, using statistical modelling
Biplab Banerjee, Sudipta Kundu, Rolee Kanchan, et al.
Environmental Science and Pollution Research International
|
December 2, 2024
A hybrid approach: remote sensing, analytic hierarchy process and geographic information system for groundwater potential mapping in Dediapada, India
Garge Sandhya Kiran, Ramandeep Kaur M Malhi, Agradeep Mohanta
Environmental Science and Pollution Research International
|
January 28, 2025
Molluscan marvels of Gujarat: exploring species distribution and conservation strategies using a spatial approach
Pooja Agravat, Ajay Baldaniya, Biplab Banerjee, et al.
Plant, Cell & Environment
|
January 27, 2025
Harnessing Spectral Libraries From AVIRIS-NG Data for Precise PFT Classification: A Deep Learning Approach
Agradeep Mohanta, Garge Sandhya Kiran, Ramandeep Kaur M Malhi, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 4) with videos related to
Sort By:
Page
of 1
Environmental Science and Pollution Research International
|
May 18, 2024
RETRACTED ARTICLE: Examining the relationship between atmospheric pollutants and meteorological factors in Asansol city, West Bengal, India, using statistical modelling
Biplab Banerjee, Sudipta Kundu, Rolee Kanchan, et al.
Environmental Science and Pollution Research International
|
December 2, 2024
A hybrid approach: remote sensing, analytic hierarchy process and geographic information system for groundwater potential mapping in Dediapada, India
Garge Sandhya Kiran, Ramandeep Kaur M Malhi, Agradeep Mohanta
Environmental Science and Pollution Research International
|
January 28, 2025
Molluscan marvels of Gujarat: exploring species distribution and conservation strategies using a spatial approach
Pooja Agravat, Ajay Baldaniya, Biplab Banerjee, et al.
Plant, Cell & Environment
|
January 27, 2025
Harnessing Spectral Libraries From AVIRIS-NG Data for Precise PFT Classification: A Deep Learning Approach
Agradeep Mohanta, Garge Sandhya Kiran, Ramandeep Kaur M Malhi, et al.
Page
of 1