Remote sensing plays a crucial role in monitoring and analyzing environmental changes, such as land use patterns, deforestation, and water resource management, in India.

Resourcesat-2 is a prominent satellite used for remote sensing applications in India, providing high-resolution imagery for various purposes, including land use mapping, forest cover assessment, and crop monitoring.

Remote sensing plays a vital role in disaster management by providing real-time information on natural disasters, assisting in damage assessment and relief efforts, and facilitating the development of disaster preparedness plans.

Multispectral imagery is widely used for studying land use patterns in India due to its ability to capture information across multiple bands of the electromagnetic spectrum, providing detailed insights into land cover types and their distribution.

Remote sensing contributes to agricultural monitoring and crop yield estimation by providing information on crop health and vigor, estimating crop yields based on vegetation indices, and monitoring agricultural practices and irrigation patterns.

Microwave remote sensing is particularly useful for studying water resources in India due to its ability to penetrate clouds and vegetation, providing valuable information on water bodies, soil moisture, and floodplains.

Remote sensing aids in urban planning and development by providing data for land use planning and zoning, monitoring urban growth and sprawl, and assessing the impact of urbanization on the environment.

Remote sensing techniques such as Normalized Difference Vegetation Index (NDVI), Leaf Area Index (LAI), and Forest Canopy Density (FCD) are commonly used for studying forest cover and deforestation in India.

Remote sensing contributes to mineral exploration and resource management by identifying potential mineral deposits, assessing the extent and quality of mineral resources, and monitoring mining activities and their environmental impact.

Synthetic Aperture Radar (SAR) is particularly useful for studying coastal and marine environments in India due to its ability to provide high-resolution imagery regardless of weather conditions, making it valuable for monitoring coastal erosion, sea surface temperature, and marine pollution.

Remote sensing contributes to the study of climate change and its impacts in India by monitoring changes in land cover and vegetation, studying sea level rise and coastal erosion, and assessing the impact of climate change on agriculture and water resources.

Soil Moisture Active Passive (SMAP) is a remote sensing technique specifically designed for studying soil moisture and agricultural drought, providing valuable information for irrigation management and crop yield forecasting.

Remote sensing aids in the monitoring of air quality and pollution in India by measuring concentrations of air pollutants, identifying sources of air pollution, and studying the transport and dispersion of air pollutants.

LiDAR (Light Detection and Ranging) is particularly useful for studying glaciers and snow cover in the Himalayan region of India due to its ability to provide high-resolution elevation data, enabling the monitoring of glacier retreat and changes in snow cover.

Remote sensing contributes to the study of urban heat islands and their impact on human health in India by measuring land surface temperatures, studying the relationship between land surface temperatures and urban form, and assessing the impact of urban heat islands on human health.