По вашему запросу найдено документов: 11557
Страница 1 из 1156
Use of multispectral satellite images for the vegetation monitoring in the ecuadorian amazon using a u-net network in areas of industrial oil activity and spectral resolution of the Landsat 8 multispectral images. The bands of the visible and the near
Mini-MegaTORTORA-multichannel system for wide-field optical monitoring with high temporal resolution-MegaTORTORA (MMT-9). This system combines a wide field of view with a subsecond temporal resolution
Spectral changes of bremsstrahlung plasma bunch generated under autoresonance in a long mirror of a long mirror trap were realized. A detailed study of the spectral-angular distribution of X
Mini-MegaTORTORA-multichannel system for wide-field optical monitoring with high temporal resolution-MegaTORTORA (MMT-9). This system combines a wide field of view with a subsecond temporal resolution
Mapping agricultural land abandonment from spatial and temporal segmentation of Landsat time series temporal-spectral metrics and a random forest model. Third, we applied temporal segmentation
Multidimensional integration of absorbances: An approach to absolute analyte detection temporal, spatial and spectral resolution to guarantee the accuracy of the computed absorbance. Technically
Enhancement of the Temporal Resolution of Fluorescent Signals Acquired by the Confocal Microscope in the temporal resolution of acquired signals. The method is based on LSCM recordings of fast fluorescent signals
Remote sensing of the Earth's soil color in space and time an innovative system that leverages 35 years of satellite imagery in conjunction with in-situ soil spectral
Large-scale fibre-array multiplexing any basic restrictions on the number of channels and the spectral spacing between them is shown
Multidimensional integration of absorbances: An approach to absolute analyte detection temporal, spatial and spectral resolution to guarantee the accuracy of the computed absorbance. Technically
Страница 1 из 1156
Фасеты
Партнеры
Индексация
