Remote sensing involves collecting data about objects from a distance by detecting electromagnetic radiation. It has several components: an energy source, atmospheric interactions, target interactions, sensor recording, data transmission and processing, interpretation and analysis, and applications. Spatial, spectral, temporal, and radiometric resolutions characterize remote sensing data. Remote sensing is used for applications like urban planning, agriculture, natural resource management, and forestry by providing information on land use, crop growth, environmental changes, and forest resources over time.
Overview of remote sensing; data gathering using radiation, particles and fields.
Details on components like energy source, interaction with targets, and earth sensing cycle.
Explanation on methods of how satellites acquire images of the earth.
Definitions of spatial, spectral, and temporal resolution in remote sensing.Focus on spectral resolution, importance of band separation and number of bands.
Discussion on temporal resolution, frequency of image capture significance.
Explains radiometric resolution sensitivity and its ranges in different bits.
Remote sensing applications in urbanization, city boundaries, and transportation.
Role of remote sensing in crop monitoring, estimating acreage, and agricultural planning.
Use of remote sensing in forestry, water management, and environmental assessment.
Utilization of satellite imagery for forest resource management and conservation.
Presentation conclusion and references to further resources on remote sensing.
Remote sensinginvolves gathering data and
information about the physical world by
detecting and measuring radiation, particles
and fields associated with objects located
beyond the immediate vicinity of the sensor
device(s).
3.
Energy Source orIllumination (A)
Radiation and the Atmosphere (B)
Interaction with the Target (C)
Recording of Energy by the Sensor (D)
Transmission, Reception, and
Processing (E)
Interpretation and Analysis (F)
Application (G)
Source: Canadian Centre for Remote Sensing
Remote Sensing Process Components
The earthsurface area covered by a pixel of an
image is known as spatial resolution
Large area covered by a pixel means low
spatial resolution and vice versa
Is theability to resolve spectral features and
bands into their separate components
More number of bands in a specified
bandwidth means higher spectral resolution
and vice versa
Frequency atwhich images are recorded/
captured in a specific place on the earth.
The more frequently it is captured, the better or
finer the temporal resolution is said to be
For example, a sensor that captures an image of
an agriculture land twice a day has better
temporal resolution than a sensor that only
captures that same image once a week.
Remote Sensing & GIS Applications
Directorate
14.
Remote Sensing &GIS Applications Directorate
Temporal Resolution
Time
July 1 July 12 July 23 August 3
11 days
16 days
July 2 July 18 August 3
15.
Sensitivity ofthe sensor to the magnitude of
the received electromagnetic energy
determines the radiometric resolution
Finer the radiometric resolution of a sensor, if it
is more sensitive in detecting small differences
in reflected or emitted energy