Remote Sensing/Image Interpretation

In summary, remote sensing/image interpretation is the process of analyzing data acquired from sensors that are not in direct contact with the object or area of interest. It is used in various fields including agriculture, forestry, environmental monitoring, urban planning, and disaster management. Data can be collected in the form of images, digital elevation models, and spectral data, providing information on physical properties of the Earth's surface. The main advantages include its ability to cover large areas quickly and efficiently, and provide data in difficult or dangerous locations. However, challenges include limited spatial and spectral resolution, atmospheric interference, image distortion, and data processing and analysis complexities.
  • #1
Simfish
Gold Member
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Some more info about it is here:
http://rst.gsfc.nasa.gov/Front/tofc.html [Broken]

http://en.wikipedia.org/wiki/Remote_sensing

Anyways, does anyone here know about remote sensing careers, and what it takes to get into one?
 
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  • #2
It's heavily EE-oriented and there are a lot of jobs in the defense industry. As with any job, getting one is a combination of demonstrated ability, circumstance, and luck.
 
  • #3
Ah, thanks for the reply! Interesting - I thought it was more Earth Science than EE. But yes, the EE techniques are going to be extremely helpful for this.
 

What is remote sensing/image interpretation?

Remote sensing/image interpretation is the process of analyzing data acquired from sensors that are not in direct contact with the object or area of interest. This data can come from satellite, aerial, or ground-based sensors, and is used to identify and classify features on the Earth's surface.

What are some applications of remote sensing/image interpretation?

Remote sensing/image interpretation is used in a variety of fields, including agriculture, forestry, environmental monitoring, urban planning, and disaster management. It can be used to monitor changes in land use, track natural disasters, and aid in the management of natural resources.

What types of data can be collected through remote sensing/image interpretation?

Remote sensing/image interpretation can collect data in the form of images, digital elevation models, and spectral data. These data can be visible, infrared, or microwave in nature, and can provide information on the physical properties of the Earth's surface, such as land cover, temperature, and topography.

What are the advantages of using remote sensing/image interpretation?

One of the main advantages of remote sensing/image interpretation is its ability to cover large areas quickly and efficiently. This allows for the monitoring of changes over time and the identification of patterns and trends. It can also provide data in areas that are difficult or dangerous for humans to access, such as remote and inaccessible locations.

What are some challenges of remote sensing/image interpretation?

One of the main challenges of remote sensing/image interpretation is the limited spatial and spectral resolution of the data. This can make it difficult to accurately identify and classify features on the Earth's surface. Other challenges include atmospheric interference, image distortion, and data processing and analysis complexities.

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