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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).
THANK YOU