Which one of the following types of Remote Sensing is best suited for locating deforestation?

Which of the following statements regarding recent advancements and innovations in remote sensing for Land Use/Land Cover (LULC) are correct? A. Hyperspectral sensors enable fine differentiation of vegetation and crops. B. SAR and Radar sensors are restricted to clear sky conditions as they cannot penetrate cloud cover. C. Machine Learning techniques like Random Forest and Convolutional Neural Networks (CNNs) are used to improve classification accuracy. D. Cloud computing platforms such as Google Earth Engine facilitate global-scale analysis of land cover dynamics. Choose the most appropriate answer from the options given below: