Skip to main content

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 height, or buildings.

📍 Applications:

  • Mapping terrain and elevation (LiDAR).

  • Monitoring floods, forest biomass, and surface deformation (RADAR).

  • Measuring ice thickness or ocean waves.

💡 Example Satellite Missions:

  • Sentinel-1 (ESA) – C-band SAR (Synthetic Aperture Radar).

  • RISAT (India) – Radar Imaging Satellite.

  • ICESat-2 (NASA) – Laser altimeter (LiDAR).


☀️ 2. Passive Remote Sensing

📘 Concept:

  • In passive remote sensing, the sensor does not send any energy.

  • It detects natural energy (mostly sunlight) that is reflected or emitted by objects on Earth.

⚙️ Key Terminology:

  • Emitted radiation: energy given off naturally by an object (like thermal energy).

  • Reflected radiation: sunlight that bounces off the Earth's surface.

  • Spectral bands: ranges of wavelengths (like visible, infrared, etc.) recorded by sensors.

🌈 Examples of Passive Sensors:

  • Optical sensors on satellites like Landsat, Sentinel-2, and MODIS.

  • They detect visible, near-infrared, and shortwave infrared light.

📍 Applications:

  • Mapping vegetation (using NDVI).

  • Studying land use/land cover, water bodies, and soil.

  • Detecting forest fires or droughts.

💡 Example Satellite Missions:

  • Landsat series (NASA/USGS)

  • Sentinel-2 (ESA)

  • Resourcesat and Cartosat (ISRO)


🌡️ 3. Thermal Remote Sensing

📘 Concept:

  • This technique measures natural thermal infrared radiation emitted by the Earth's surface.

  • Every object with a temperature above absolute zero (0 K) emits infrared radiation.

  • Thermal sensors record this energy to estimate surface temperature.

⚙️ Key Terminology:

  • Thermal infrared region: wavelength between 3 µm and 14 µm.

  • Brightness temperature: temperature recorded by the sensor.

  • Thermal emissivity: ability of a surface to emit heat energy.

🌡️ Examples of Thermal Sensors:

  • Landsat Thermal Infrared Sensor (TIRS)

  • MODIS (Moderate Resolution Imaging Spectroradiometer)

  • ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer)

📍 Applications:

  • Urban heat island studies.

  • Volcano and forest fire monitoring.

  • Soil moisture and evapotranspiration estimation.

  • Detecting ocean currents and water temperature.


📡 4. Microwave (RADAR) Remote Sensing

📘 Concept:

  • Uses microwave energy (longer wavelengths than visible light).

  • Can penetrate clouds, fog, and even vegetation, and works day and night.

  • Often used in active mode (RADAR), but can also be passive (radiometer).

⚙️ Key Terminology:

  • SAR (Synthetic Aperture Radar): advanced radar that produces high-resolution images.

  • Polarization: direction of the radar wave (VV, VH, HH, HV).

  • Backscatter coefficient (σ⁰): measure of the reflected microwave energy.

🌊 Examples of Microwave Sensors:

  • Active: Sentinel-1 (C-band SAR), RISAT (C-band SAR), TerraSAR-X.

  • Passive: SMOS (Soil Moisture and Ocean Salinity), AMSR-E.

📍 Applications:

  • Monitoring floods, landslides, and deforestation.

  • Measuring soil moisture and sea ice thickness.

  • Detecting ground deformation and earthquakes (InSAR).



TypeEnergy SourceWavelength RegionWorks at NightCloud PenetrationExample Sensors
ActiveArtificial (sensor-generated)Microwave, LaserSentinel-1 (RADAR), LiDAR
PassiveSunlight/NaturalVisible, InfraredLandsat, Sentinel-2
ThermalNatural (Earth-emitted heat)Thermal Infrared (3–14 µm)Landsat TIRS, MODIS
Microwave (RADAR)Usually ArtificialMicrowave (1 mm–1 m)Sentinel-1, RISAT, TerraSAR-X


Comments

Popular posts from this blog

History of Geography.

Chronological sequence and categorized by era and region. I. Introduction & Etymology •  Etymology : The term "Geography" derives from the Greek γεωγραφία (geographia) , meaning "Earth-writing" (description or writing about the Earth). •  First Use : Eratosthenes (276–194 BC) was the first person to use the word. •  Pre-Term Practices : Recognizable geographic practices like cartography (map-making) existed prior to the coining of the term. II. Antiquity & Ancient Civilizations 1. Ancient Egypt (Pre-Classical) •  Cosmology : Ancient Egyptians viewed the Nile as the center of the world, with existence based upon "the" river. •  Geographical Knowledge : •  Oases : Known to the east and west, considered locations of various gods (e.g., Siwa for the god Amon ). •  Kushitic Region : Lay to the south, known as far as the 4th cataract . •  Punt : A region located south a...

Building Topology in GIS, Data Query in GIS, Geoprocessing and Automation in GIS

A Geographic Information System (GIS) is more than a digital mapping tool. It is a comprehensive system for capturing, storing, managing, analysing, querying, and visualising spatial (geographic) and non-spatial (attribute) data . To maintain accurate spatial data and perform advanced analyses, GIS relies on three important concepts: Building Topology Data Query Geoprocessing and Automation These concepts ensure data integrity, efficient data retrieval, and automated spatial analysis , making GIS an indispensable tool in geography, environmental science, urban planning, disaster management, transportation, agriculture, and resource management. 1. Building Topology in GIS Topology is the mathematical and logical framework that defines the spatial relationships between geographic features such as points, lines, and polygons. It ensures that spatial data maintain correct geometric relationships even after editing or analysis. Simple Definiti...

Historical Development of Geography in the Ancient Period

The Ancient Period marks the earliest stage in the evolution of geographical thought, extending from approximately 3000 BCE to the 5th century CE . During this period, geography evolved from simple descriptions of the Earth's surface to systematic scientific inquiry. Early civilizations developed geographical knowledge to meet practical needs such as navigation, trade, agriculture, military expansion, taxation, and administration . The greatest contributions came from the Mesopotamian, Egyptian, Indian, Chinese, Greek, and Roman civilizations , with the Greeks laying the foundations of scientific geography . Meaning Terminology: Historical Development Historical development refers to the gradual evolution of geographical knowledge, concepts, methods, and theories over time. Concept Geographical knowledge evolved through: Observation of the natural environment Exploration and travel Cartography (map-making) Astronomical observations ...

Development of Health Geography

Health Geography (formerly Medical Geography ) is the branch of geography that studies the relationship between health, disease, environment, place, and healthcare systems . The discipline has evolved over more than 2,500 years through contributions from physicians, geographers, epidemiologists, microbiologists, and public health experts. The development of Health Geography can be divided into the following periods: Ancient Period Medieval Period Renaissance and Pre-Modern Period Nineteenth Century (Pre-World War Era) World War Period Post-World War Period Modern Health Geography 1. Ancient Period (5th Century BC – 500 AD) Characteristics Health closely linked with the natural environment. Diseases explained through climate, water, air, and seasons. No knowledge of microorganisms. Medical observations were descriptive. Major Concepts Environmental Determinism Disease Ecology Climate and Healt...

Ph.D. or M.Sc. Assistantship in Hyperspectral Remote Sensing of Biodiversity Oklahoma State University

Ph.D. or M.Sc. Assistantship in Hyperspectral Remote Sensing of Biodiversity Oklahoma State University Description: We invite applications for a Ph.D. or M.Sc. position in the field of remote sensing at Oklahoma State University. The successful candidate will use airborne and spaceborne hyperspectral data (from DLR's DESIS sensor), as well as in-situ measurements (functional traits and species diversity) to (1) map grassland diversity and (2) detect the spread of an invasive alien species in the Joseph H. Williams Tallgrass Prairie Preserve. The position will be housed in the Department of Geography at Oklahoma State University. The target start date is August 2021. Qualifications: Applicants with a masters' degree or bachelor's degree (at the time of appointment) in physical sciences (remote sensing, ecology, environmental science, geography, plant biology), engineering (environmental, optical), or other related fields with relevant research or work experience (e.g., hyper...