ABSTRACT
The interdisciplinary approach of remote-sensing has emerged for the detection, evaluation, and mapping of factors affecting public health. Of course not sufficient mainstream remote-sensing research texts have dealt with this emerging approach in detail to help the growing collaboration among those specializing in remote sensing, health management, and ecosystem scientists, in critical decision making and efforts on the ground. This chapters discusses on the remote sensing methods by which disease epidemic and outbreaks regions can be predicted. A temperature range of 25° C to 35°C and a relative humidity range of 50 to 80 percent is suitable for developing malaria outbreaks. In a study conducted by Ahmadian on Malaria, a methodology for extracting temperature, humidity, water bodies, and vegetated area all from satellite images is presented. A cholera case study is also discussed. The two case studies showed that the environmental factors and parameters are playing a key role in the occurrence of outbreak and/or epidemic in many cases.
