Table of Contents
What is multi temporal data?
Multitemporal imaging is the acquisition of remotely sensed data from more than one time period.
What is temporal remote sensing?
Temporal resolution is defined as the amount of time needed to revisit and acquire data for the exact same location. When applied to remote sensing, this amount of time depends on the orbital characteristics of the sensor platform as well as sensor characteristics.
How important are multi temporal images in environmental applications?
Multitemporal hyperspectral images provide very detailed spectral information that directly relates to land surface composition. This results in the potential detection of more spectral changes than those visible in the traditional multispectral images.
What is an advantage of using multi temporal imagery in remote sensing?
2c. Multitemporal imagery and data are useful for studying changes in the environment and to monitor various processes.
What is the use of remote sensing satellites?
Remote sensing is the process of detecting and monitoring the physical characteristics of an area by measuring its reflected and emitted radiation at a distance (typically from satellite or aircraft). Special cameras collect remotely sensed images, which help researchers “sense” things about the Earth.
What is the role of temporal resolution in remote sensing applications?
Image data acquired by remote sensing sensors do not only differ with regard to the spatial, radiometric and spectral resolutions: The so-called temporal resolution is also very important. The temporal resolution provides information on the distance of time between the acquisitions of two images of the same area.
What are the most limitation of using passive sensors data?
A major limitation of passive systems is that in most cases they require sunlight in order for valid and useful data to be acquired. Consequently, deployment of and/or data acquisition by passive sensors is very dependent on lighting (time of day, time of year, latitude) and weather conditions.
How do you analyze imagery in a book?
How to analyse imagery – A step-by-step guide
- Read the passage to see if there is something recognisable to the senses.
- Identify the examples using sensory imagery; and then:
- Ask yourself what this imagery is representing?
- Write about what this imagery does, and how it supports your argument using a T.E.E.L structure.
What are the four types of resolution in remote sensing?
There are four types of resolution to consider for any dataset—radiometric, spatial, spectral, and temporal. Radiometric resolution is the amount of information in each pixel, that is, the number of bits representing the energy recorded.
