Remote sensing data provides valuable information about environmental factors such as land cover, vegetation, water quality, and air pollution, which are crucial for understanding their impact on health.

GIS stands for Geographic Information System, a powerful tool that allows users to store, analyze, and visualize geospatial data.

Crop yield forecasting is not directly related to health and epidemiology, although Remote Sensing and GIS can be used for agricultural applications.

Remote sensing data can be used to monitor vector-borne disease transmission by identifying areas with suitable habitats for disease-carrying vectors, air pollution levels by measuring concentrations of pollutants in the atmosphere, and water quality by analyzing water bodies for various parameters.

GIS is a versatile tool that allows users to create maps and visualizations, analyze spatial data, and manage and store geospatial information.

While Remote Sensing and GIS can contribute to improved disease surveillance, health risk assessment, and understanding of disease transmission patterns, they do not directly lead to reduced healthcare costs.

Optical imagery, which captures visible and near-infrared light, is widely used for monitoring land cover and vegetation changes due to its ability to provide detailed information about surface features.

GIS allows users to analyze spatial patterns of disease occurrence, relationships between environmental factors and health outcomes, and accessibility to healthcare services, among other things.

Remote sensing data can be used to identify areas at risk of malaria transmission by mapping suitable habitats for mosquitoes, dengue fever outbreaks by monitoring vegetation and water bodies, and flooding by analyzing terrain and rainfall patterns.

GIS is a valuable tool for decision-making in public health, planning and implementing health interventions, and allocating resources for healthcare.

Crop yield estimation is not directly related to health and epidemiology, although Remote Sensing and GIS can be used for agricultural applications.

Remote sensing data can be used to monitor air pollution levels by measuring concentrations of pollutants in the atmosphere, water quality by analyzing water bodies for various parameters, and land use changes by mapping and monitoring changes in land cover.

GIS allows users to create thematic maps, analyze spatial relationships, and manage and store geospatial data.

While Remote Sensing and GIS can contribute to improved disease surveillance, health risk assessment, and understanding of disease transmission patterns, they do not directly lead to reduced healthcare costs.

Thermal imagery, which captures thermal radiation emitted by objects, is commonly used for monitoring sea surface temperature due to its ability to measure temperature variations.