Kopeć, A.; Trybała, P.; Głąbicki, D.; Buczyńska, A.; Owczarz, K.; Bugajska, N.; Kozińska, P.; Chojwa, M.; Gattner, A.
Application of Remote Sensing, GIS and Machine Learning with Geographically Weighted Regression in Assessing the Impact of Hard Coal Mining on the Natural Environment. Sustainability 2020, 12, 9338.
https://doi.org/10.3390/su12229338
AMA Style
Kopeć A, Trybała P, Głąbicki D, Buczyńska A, Owczarz K, Bugajska N, Kozińska P, Chojwa M, Gattner A.
Application of Remote Sensing, GIS and Machine Learning with Geographically Weighted Regression in Assessing the Impact of Hard Coal Mining on the Natural Environment. Sustainability. 2020; 12(22):9338.
https://doi.org/10.3390/su12229338
Chicago/Turabian Style
Kopeć, Anna, Paweł Trybała, Dariusz Głąbicki, Anna Buczyńska, Karolina Owczarz, Natalia Bugajska, Patrycja Kozińska, Monika Chojwa, and Agata Gattner.
2020. "Application of Remote Sensing, GIS and Machine Learning with Geographically Weighted Regression in Assessing the Impact of Hard Coal Mining on the Natural Environment" Sustainability 12, no. 22: 9338.
https://doi.org/10.3390/su12229338
APA Style
Kopeć, A., Trybała, P., Głąbicki, D., Buczyńska, A., Owczarz, K., Bugajska, N., Kozińska, P., Chojwa, M., & Gattner, A.
(2020). Application of Remote Sensing, GIS and Machine Learning with Geographically Weighted Regression in Assessing the Impact of Hard Coal Mining on the Natural Environment. Sustainability, 12(22), 9338.
https://doi.org/10.3390/su12229338