Topic:

Remote Sensing and its Applications

REMOTE SENSING

Remote Sensing is the science of obtaining information about objects or areas from a distance, typically from aircrafts or satellite.

APPLICATIONS OF REMOTE SENSINGObserving the Flow of Ocean Currents and Circulation

Preventing the Degradation and Loss of Wetland Ecosystems

Quantifying the Damage After an Earthquake

Comparing Climatic Factors from Past to Present

CONTI………Assessing Fuel Economy of Vehicle Emission

Change Detection

Orthorectification

Spectral Analysis

Image Classification

OBSERVING THE FLOW OF OCEAN CURRENTS AND CIRCULATIONSatellites can achieve an enormous wealth of information on ocean currents and

circulation. Ocean Surface Current Analyses – Real Time (OSCAR) is a near real-time global ocean circulation dataset based on NOAA and NASA’s sea level altimetry, surface winds and sea surface temperature.

PREVENTING THE DEGRADATION AND LOSS OF WETLAND ECOSYSTEMS 

They help purify water, control flooding and improve shoreline stability. This is why remote sensing applications to inventory wetlands have grown so much over the years.

QUANTIFYING THE DAMAGE AFTER AN EARTHQUAKE  The result of an earthquake can be catastrophic and at times difficult to assess.

But an earthquake assessment is essential for rescue workers.. Object-based image classification using change detection (pre- and post-earthquake) is a quick way to get damage assessments. Other remote sensing applications in disaster assessments include casted shadows from buildings and digital surface models.

COMPARING CLIMATIC FACTORS FROM PAST TO PRESENT 

Understanding the state of our climate has immeasurable importance. NASA is mapping different climate factors on a monthly basis to see how much these variables change.

ASSESSING FUEL ECONOMY OF VEHICAL EMISSION

Governments have been putting pressure on vehicles to meet emission standards. Satellites can monitor fuel economy and emission standards with minimal interference from the sky.

CHANGE DETECTION

Change Detection Determine the changes from images taken at different times of the same area.

ORTHORECTIFICATION

Warp an image to its location on the earth.

SPECTRAL ANALYSIS

Used for Spectral Analysis:

For example, using non-visible parts of the electromagnetic spectrum to determine if a forest is healthy.

IMAGE CLASSIFICATION

Categorization of pixels based on reflectance into different land cover classes (e.g. Supervised classification, Unsupervised classification and Object Oriented Classification).

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