Skip to main content

Unmanned Aerial Vehicles


Unmanned Aerial Vehicles (UAVs)—commonly called drones—are pilotless aircraft used as remote sensing platforms to acquire very high-resolution geospatial data. They fly at low altitudes (typically 50–300 m), enabling them to record centimeter-level details of the Earth's surface.

UAVs are increasingly used in remote sensing because they offer on-demand data acquisition, flexible sensor deployment, and the ability to fly under cloud cover, making them ideal for scientific, environmental, and disaster applications.

Characteristics

1. High-Resolution Data Acquisition

  • UAVs can collect imagery with spatial resolutions up to <1 cm.

  • Suitable for detailed mapping of vegetation, buildings, hazards, and micro-topography.

2. On-Demand and Rapid Deployment

  • Can be launched quickly anytime data is needed.

  • Extremely useful after floods, landslides, earthquakes, or in inaccessible terrain.

3. Operational Flexibility

  • Able to fly:

    • in rugged terrain

    • over small areas

    • in hazardous environments where humans cannot reach

  • They operate below cloud cover, unlike satellites affected by weather.

4. Versatile Sensor Payload

UAVs can carry different types of sensors depending on the application:

Primary (Navigation) Sensors

Built into the UAV for stability and control:

  • GPS/GNSS

  • IMU (Inertial Measurement Unit)

  • Accelerometers

  • Gyroscopes

  • Magnetometers

  • Barometers / Altimeters

These ensure accurate positioning and flight control.

Secondary (Remote Sensing) Sensors

Mounted externally for data collection:

  • RGB cameras (photogrammetry)

  • Multispectral cameras

  • Hyperspectral sensors

  • LiDAR (3-D terrain mapping)

  • Thermal infrared cameras

  • Radar (on larger UAVs)

  • Gas sensors (air quality)

  • SONAR (water depth in special systems)

5. Cost-Effectiveness

  • UAV surveys are cheaper compared to manned aircraft and high-resolution commercial satellites.

  • Require fewer human resources and provide repeatable measurements.

6. Precise Geospatial Accuracy

  • Equipped with RTK/PPK GNSS, UAVs can achieve centimeter-level positioning accuracy.

  • Ideal for DEM/DSM generation and engineering surveys.

Types

UAVs are usually classified based on flight mechanics, payload capacity, and mission requirements.

1. Fixed-Wing UAVs

Description

  • Look like mini-airplanes.

  • Use wings for lift, making them energy-efficient.

Features

  • Long endurance (1–3 hours)

  • High flight speed

  • Can cover large areas

  • Can carry larger payloads

  • Need a runway or catapult for takeoff/landing

  • Cannot hover

Applications

  • Large-scale mapping

  • Agriculture

  • Coastal and forest surveys

  • Pipeline/road corridor mapping

  • Disaster assessment over large regions

2. Rotary-Wing UAVs (Multirotors)

Includes quadcopters, hexacopters, and octocopters.

Description

  • Use multiple rotors to generate lift.

  • Most common UAV type for remote sensing.

Features

  • Vertical Take-Off and Landing (VTOL)

  • Can hover continuously

  • Highly maneuverable in confined or rugged spaces

  • Shorter flight time (20–45 minutes)

  • Lower energy efficiency

  • Limited coverage area per mission

Applications

  • Precision agriculture

  • Urban mapping

  • Building inspections

  • Landslide surveys

  • Archaeology

  • Environmental monitoring in limited areas

3. Hybrid UAVs

Combine features of fixed-wing + rotary-wing systems.

Description

  • Have wings for forward flight and rotors for vertical lift.

  • Can take off vertically, then switch to efficient fixed-wing mode.

Features

  • VTOL capability + long endurance

  • No runway needed

  • Better range than multirotors

  • Ideal for medium to large areas

Applications

  • Corridor mapping

  • Long-distance mapping missions

  • Search and rescue

  • Coastal and wetland monitoring


Comments

Popular posts from this blog

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 ...

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. ๐Ÿ›ฐ️ 1. Active Remote Sensing ๐Ÿ“˜ 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. ๐Ÿ“Š 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...

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 ยตm) Near-Infrared – NIR (0.7–1.3 ยตm) Shortwave Infrared – SWIR (1.3–3.0 ยตm) Thermal Infrared – TIR (8–14 ยตm) — 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...

Resolution of Sensors in Remote Sensing

Spatial Resolution ๐Ÿ—บ️ 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 ๐ŸŒˆ 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 ๐Ÿ“Š 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...