Satellite imagery

Satellite imagery refers to images of Earth or other planets collected by artificial satellites.
It is a core component of remote sensing, allowing observation without physical contact.
Satellite imagery provides data for studying geography, meteorology, and environmental science.
It helps in monitoring land use and land cover changes.
Satellites capture data in multiple spectral bands, including visible, infrared, and microwave.
Geostationary satellites provide continuous monitoring of a specific area.
Polar-orbiting satellites cover the entire Earth by passing over poles in successive orbits.
Applications include weather forecasting, disaster management, and urban planning.
High-resolution imagery is crucial for mapping infrastructure and natural resources.
Multispectral imagery captures data in several specific wavelength ranges.
Hyperspectral imagery records data across hundreds of narrow spectral bands for detailed analysis.
Satellite data is vital for tracking deforestation and biodiversity loss.
It is widely used in agriculture for crop monitoring and yield prediction.
Weather satellites help monitor cloud cover, storms, and atmospheric conditions.
Satellite imagery aids in identifying mineral deposits and geological formations.
It supports military intelligence and surveillance.
Google Earth is a popular application providing satellite imagery for public use.
Advanced technologies like LiDAR and SAR (Synthetic Aperture Radar) are integrated into satellite systems.
It facilitates oceanographic studies, such as tracking currents, sea levels, and temperatures.
Satellites like Landsat, Sentinel, and MODIS are extensively used for Earth observation.
Satellite imagery is crucial for mapping disaster-affected areas, such as floods and earthquakes.
It helps assess the impact of climate change on glaciers, forests, and ecosystems.
Satellite images provide input for GIS (Geographical Information Systems).
Historical satellite data allows tracking environmental changes over time.
Cloud cover and atmospheric interference can affect image quality.
Advanced processing techniques, like image classification and enhancement, improve usability.
Satellite data is freely available from agencies like NASA and ESA.
Private companies like Maxar and Planet Labs provide high-resolution commercial imagery.
Temporal resolution refers to how frequently a satellite revisits the same area.
Spatial resolution defines the smallest feature size a satellite can capture.
Satellites help monitor urban sprawl and its environmental impact.
Radiometric resolution measures a satellite's ability to detect variations in light intensity.
They assist in mapping hydrological features such as rivers, lakes, and wetlands.
Global positioning systems (GPS) often rely on satellite technology.
Satellite imagery supports carbon monitoring and emission tracking.
It plays a role in marine conservation by monitoring coral reefs and illegal fishing activities.
Satellites like INSAT and Cartosat are key to India's remote sensing program.
Satellite-based telecommunication systems enhance global connectivity.
Data processing requires advanced software like ENVI or ERDAS Imagine.
It aids in detecting and mapping urban heat islands.
Satellite imagery is vital for archaeological surveys and cultural heritage mapping.
Emerging trends include real-time data from nanosatellites and cube satellites.
Artificial intelligence is increasingly used to analyze large datasets from satellites.