Remote Sensing and GIS applications have made it relatively easier to monitor the overall health of forests. Various components of forests, like tree heights, diameter and volume of stems, basal area and aboveground biomass can now be easily studied using the advanced remote sensing and GIS technologies. Radar remote sensing is different from visual remote sensing as it uses the microwave (1 mm to 1 m) section of the electromagnetic spectrum to obtain these images of the Earth. Microwave remote sensing is especially useful in areas of high cloud cover as it is able to penetrate through clouds. It is also a vital technique in studying the biophysical characteristics of forests, as the waves are able to penetrate the canopy. Stem volume, tree height and biomass estimation are few of the characteristics that can be easily estimated using microwave remote sensing. The device that emits these wavelengths also records the backscatter that is reflected back after the signal hits the target. Microwaves can penetrate clouds, rain, smoke, forest canopies as well as features below the surface of the Earth. Their ability to penetrate through forest canopies makes microwaves especially useful in the study of biophysical characteristics of forests. The penetrative powers of microwave remote sensing help in gathering data about the forest canopy, the stems present in the forest and the surface and surface cover of forests.