Satellites Remote Sensing

Earth Resources Satellites

These satellites are designed mainly for natural resource monitoring – land, water, vegetation, and environment.

1. LANDSAT (USA, since 1972)

World's first dedicated Earth observation satellite series.
Provides long-term continuous data for >50 years.
Sensors: MSS (Multispectral Scanner), TM (Thematic Mapper), ETM+ (Enhanced TM), OLI (Operational Land Imager).
Resolution: 15–30 m (optical).
Applications: Land cover change, agriculture, forests, water resources.
Fact: Landsat archive is the longest continuous Earth observation record.

2. SPOT (France, 1986 onwards)

Name: Satellite Pour l'Observation de la Terre.
Sensors: HRV (High Resolution Visible), HRVIR (with Infrared).
Resolution: 1.5–20 m.
Applications: Urban studies, vegetation monitoring, mapping.
Fact: First civilian satellite to offer stereo imaging (3D views).

3. IRS (India, 1988 onwards)

Name: Indian Remote Sensing Satellite Series.
Sensors: LISS (Linear Imaging Self Scanner), PAN (Panchromatic), WiFS (Wide Field Sensor).
Resolution: 5–180 m depending on sensor.
Applications: Agriculture, water resources, forestry, disaster management.
Fact: India's IRS program is one of the largest civilian remote sensing programs in the world.

4. IKONOS (USA, launched 1999)

One of the first commercial high-resolution satellites.
Resolution: 1 m (panchromatic), 4 m (multispectral).
Applications: Urban planning, infrastructure mapping, defense, precision agriculture.
Fact: Made high-resolution satellite imagery available for civilian use.

Meteorological Satellites

These satellites are designed for weather and climate monitoring.

1. INSAT (India)

Name: Indian National Satellite System.
Operates in Geostationary Orbit (GEO, ~36,000 km).
Functions: Weather forecasting, cyclone tracking, rainfall estimation, communication.
Fact: INSAT combines meteorology + telecommunications + broadcasting.

2. NOAA (USA)

Name: National Oceanic and Atmospheric Administration Satellites.
Operates in Polar Orbit (LEO ~850 km).
Sensor: AVHRR (Advanced Very High Resolution Radiometer).
Applications: Sea surface temperature, vegetation, snow cover, weather monitoring.
Fact: Continuous data since 1970s, key for climate change studies.

3. GOES (USA)

Name: Geostationary Operational Environmental Satellites.
Orbit: Geostationary (36,000 km).
Applications: Real-time weather monitoring, storm tracking, atmosphere studies.
Fact: Provides continuous images of the same region every few minutes → crucial for cyclone and hurricane monitoring.

Optical Mechanical Scanners

These are instruments (sensors) that scan the Earth's surface in different wavelengths of the electromagnetic spectrum.

1. MSS (Multispectral Scanner) – Landsat

Records data in 4 spectral bands (visible + near IR).
Spatial resolution: ~80 m.
Use: Early land cover studies.

2. TM (Thematic Mapper) – Landsat

Improved sensor with 7 bands (visible, NIR, SWIR, thermal).
Spatial resolution: 30 m (optical), 120 m (thermal).
Use: Agriculture, geology, vegetation, water.

3. LISS (Linear Imaging Self Scanner) – IRS

Variants: LISS-I, II, III, IV.
Resolutions: 72 m (LISS-I) → 5.8 m (LISS-IV).
Use: Agriculture, forestry, resources.

4. WiFS (Wide Field Sensor) – IRS

Wide coverage, ~180 m resolution.
Use: Vegetation and crop monitoring at regional scale.

5. PAN (Panchromatic) – IRS

Records in single broad band (black & white).
Very high spatial resolution: ~5–6 m.
Use: Urban mapping, cartography, image fusion.

In short:

Earth Resource Satellites (LANDSAT, SPOT, IRS, IKONOS) → monitor land, vegetation, water.
Meteorological Satellites (INSAT, NOAA, GOES) → monitor atmosphere, weather, climate.
Optical Scanners (MSS, TM, LISS, WiFS, PAN) → instruments onboard satellites that capture data in different resolutions and spectral ranges.

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Platforms in Remote Sensing

In remote sensing, a platform is the physical structure or vehicle that carries a sensor (camera, scanner, radar, etc.) to observe and collect information about the Earth's surface. Platforms are classified mainly by their altitude and mobility : Ground-Based Platforms Definition : Sensors mounted on the Earth's surface or very close to it. Examples : Tripods, towers, ground vehicles, handheld instruments. Applications : Calibration and validation of satellite data Detailed local studies (e.g., soil properties, vegetation health, air quality) Strength : High spatial detail but limited coverage. Airborne Platforms Definition : Sensors carried by aircraft, balloons, or drones (UAVs). Altitude : A few hundred meters to ~20 km. Examples : Airplanes with multispectral scanners UAVs with high-resolution cameras or LiDAR High-altitude balloons (stratospheric platforms) Applications : Local-to-regional mapping ...

Optical Sensors in Remote Sensing

1. What Are Optical Sensors? Optical sensors are remote sensing instruments that detect solar radiation reflected or emitted from the Earth's surface in specific portions of the electromagnetic spectrum (EMS) . They mainly work in: Visible region (0.4–0.7 µm) Near-Infrared – NIR (0.7–1.3 µm) Shortwave Infrared – SWIR (1.3–3.0 µm) Thermal Infrared – TIR (8–14 µm) — emitted energy, not reflected Optical sensors capture spectral signatures of surface features. Each object reflects/absorbs energy differently, creating a unique spectral response pattern . a) Electromagnetic Spectrum (EMS) The continuous range of wavelengths. Optical sensing uses solar reflective bands and sometimes thermal bands . b) Spectral Signature The unique pattern of reflectance or absorbance of an object across wavelengths. Example: Vegetation reflects strongly in NIR Water absorbs strongly in NIR and SWIR (appears dark) c) Radiance and Reflectance Radi...

Types of Remote Sensing

Remote Sensing means collecting information about the Earth's surface without touching it , usually using satellites, aircraft, or drones . There are different types of remote sensing based on the energy source and the wavelength region used. 🛰️ 1. Active Remote Sensing 📘 Concept: In active remote sensing , the sensor sends out its own energy (like a signal or pulse) to the Earth's surface. The sensor then records the reflected or backscattered energy that comes back from the surface. ⚙️ Key Terminology: Transmitter: sends energy (like a radar pulse or laser beam). Receiver: detects the energy that bounces back. Backscatter: energy that is reflected back to the sensor. 📊 Examples of Active Sensors: RADAR (Radio Detection and Ranging): Uses microwave signals to detect surface roughness, soil moisture, or ocean waves. LiDAR (Light Detection and Ranging): Uses laser light (near-infrared) to measure elevation, vegetation...

Resolution of Sensors in Remote Sensing

Spatial Resolution 🗺️ Definition : The smallest size of an object on the ground that a sensor can detect. Measured as : The size of a pixel on the ground (in meters). Example : Landsat → 30 m (each pixel = 30 × 30 m on Earth). WorldView-3 → 0.31 m (very detailed, you can see cars). Fact : Higher spatial resolution = finer details, but smaller coverage. Spectral Resolution 🌈 Definition : The ability of a sensor to capture information in different parts (bands) of the electromagnetic spectrum . Measured as : The number and width of spectral bands. Types : Panchromatic (1 broad band, e.g., black & white image). Multispectral (several broad bands, e.g., Landsat with 7–13 bands). Hyperspectral (hundreds of very narrow bands, e.g., AVIRIS). Fact : Higher spectral resolution = better identification of materials (e.g., minerals, vegetation types). Radiometric Resolution 📊 Definition : The ability of a sensor to ...

Radar Sensors in Remote Sensing

Radar sensors are active remote sensing instruments that use microwave radiation to detect and measure Earth's surface features. They transmit their own energy (radio waves) toward the Earth and record the backscattered signal that returns to the sensor. Since they do not depend on sunlight, radar systems can collect data: day or night through clouds, fog, smoke, and rain in all weather conditions This makes radar extremely useful for Earth observation. 1. Active Sensor A radar sensor produces and transmits its own microwaves. This is different from optical and thermal sensors, which depend on sunlight or emitted heat. 2. Microwave Region Radar operates in the microwave region of the electromagnetic spectrum , typically from 1 mm to 1 m wavelength. Common radar frequency bands: P-band (70 cm) L-band (23 cm) S-band (9 cm) C-band (5.6 cm) X-band (3 cm) Each band penetrates and interacts with surfaces differently: Lo...

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