Creating landuse database, you need sensor technologies to detect and classify objects. i think you already know that:
There are two main types of remote sensing: passive remote sensing and
active remote sensing. Passive sensors detect natural radiation that
is emitted or reflected by the object or surrounding areas. Reflected
sunlight is the most common source of radiation measured by passive
Active collection, on the other hand, emits energy in order to scan
objects and areas whereupon a sensor then detects and measures the
radiation that is reflected or backscattered from the target. RADAR
and LiDAR are examples of active remote sensing where the time delay
between emission and return is measured, establishing the location,
height, speed and direction of an object.
if you dont have multi-band aerial photo, it is very hard to classify objects and the classification accuracy rate will be down for certain objects.
there is lots of free data(old dated) on internet which can you use for classification. you can also find some free data here.
in remote sensing world there are lots of satellite with different features for different needs. they diverses from others with lots of features as spatial, temporal and spectral resolutions. for spectral resoulutions:
The spatial resolution specifies the pixel size of satellite images covering the earth surface.
High spatial resolution: 0.6 - 4 m
» SPOT-5 Medium spatial resolution: 4 - 30 m
» LANDSAT 7
» CBERS-2 Low spatial resolution: 30 - > 1000 m
for temporal specification:
The temporal resolution specifies the revisiting frequency of a satellite sensor for a specific location.
High temporal resolution: < 24 hours - 3 days
Medium temporal resolution: 4 - 16 days
Low temporal resolution: > 16 days
for spectral resolution :
In the first instance, a sensor's spectral resolution specifies the number of spectral bands in which the sensor can collect reflected radiance. But the number of bands is not the only important aspect of spectral resolution. The position of bands in the electromagnetic spectrum is important, too.
High spectral resolution: - 220 bands
Medium spectral resolution: 3 - 15 bands
Low spectral resolution: - 3 bands
you can find more information about Characterization of Satellite Remote Sensing Systems here.
you can find more tutorial about classification with remote sensing data and Image Anlaysis in envi site (they give example data too).