دورية أكاديمية

ENVINet5 deep learning change detection framework for the estimation of agriculture variations during 2012–2023 with Landsat series data

التفاصيل البيبلوغرافية
العنوان: ENVINet5 deep learning change detection framework for the estimation of agriculture variations during 2012–2023 with Landsat series data
المؤلفون: Singh, Gurwinder, Dahiya, Neelam, Sood, Vishakha, Singh, SartajvirAff4, IDs10661024123948_cor4, Sharma, Apoorva
المصدر: Environmental Monitoring and Assessment: An International Journal Devoted to Progress in the Use of Monitoring Data in Assessing Environmental Risks to Humans and the Environment. 196(3)
قاعدة البيانات: Springer Nature Journals
الوصف
تدمد:01676369
15732959
DOI:10.1007/s10661-024-12394-8