The document discusses land use and land cover mapping using remote sensing. It defines land cover as the physical state of the land surface, such as vegetation or water, which can be directly observed from remote sensors. Land use refers to how humans use the land, such as for agriculture, residential areas, or industry. Remote sensing allows analysis of land use and land cover for various applications like natural resource management, urban planning, and tracking land use changes over time. High resolution imagery can be used to estimate housing density, identify transportation patterns, and ensure agriculture is properly managed. Land cover change is detected by comparing multi-date images and can include both seasonal and long term annual changes.

1. LAND USE LAND
COVER
Name :- Jatin Kumar
Roll No. :- 164511
GOVT. P. G. COLLEGE HISAR

2. Introduction:-
The earth is constantly under observation from
dozens of satellites orbiting the planet and
collecting image data of the earth’s surface and
it’s environment.
 Some data can be analysed in different ways for
different applications.
 Some of the fields that use remote sensing are
agriculture, geology, archaeology, oceanography,
etc.

3. Introduction:- Land cover
Land cover mapping is one of the most important &
typical application of Remote sensing data
Land cover corresponds to the physical condition of the
ground surface for eg. Forest, grassland, etc.
Land cover refers to features of land surface which may
be natural, semi-natural, managed or manmade . They
are directly observable by a remote sensor.
Land cover denotes the physical state of land, such as
the quantity and type of surface vegetation, water and
earth materials.

4. Land cover

5. Introduction :- Land Use
Land use reflects human activities such as the
use of the land for eg. Industrial zones,
residential zones, agricultural fields etc.
Land use denotes the human employment of
the land, such as residential industrial,
commercial, agricultural, recreational, urban,
rural, etc.
A change in land use at any location may involve
a shift to a different type of use ,for instance,
from framing to residential, or a change in the
intensity of use.

6. Land use

7. Land-useapplicationsofremotesensing includethe
following:-
 Natural resource management
 Wildlife habitat protection
Baseline mapping for geographic information system(GIS)
input
Urban expansion/encroachment
Routing and logistics planning for
seismic/exploration/resource extraction activities
Damage delineation (tornadoes, flooding, volcanic, seismic,
fire and terrorist activities)
Legal boundaries for tax and property evaluation
Target detection- identification of landing strips, roads,
clearings, bridges and land/water interface

8. Land use / Land-cover change
Delhi:- 1992-2004

10. Housing:-
• In developing countries that often do not have
reliable population databases, interpretation of high
–resolution imageries can be used to estimate
housing density. By calculating the housing density
for representative sample areas with an image,
reliable estimates of housing density can be
obtained for other similar areas in the image. If
information is available on the average household
size, this method can be extended to produce
estimates of population density.

11. Transportation:-
•High –resolution image have often
been used in transportation studies
and can be used to identify vehicle
types, estimate traffic flows, indentify
parking problems on city streets,
estimate parking lot usage, and even
to measure the speed of vehicles on a
highway.

12. Agricultural:-
• Analyzing agricultural versus urban land
using important for ensuing that
development does not encroach on
valuable agriculture land, and to likewise
ensure that agricultures is being done on
the most appropriate land and does not
degrade due to improper adjacent
development or infrastructure.

13. The change is usually detected by
comparison between two multi-date
images, or sometimes between an old
map and an updated remote sensing
image.
• The land-cover change can be divided into two categories, as
following-
• 1. Seasonal change, for instance, agricultural lands and
deciduous forests change seasonally.
• 2. Annual change (change over years) , for example, land –
cover or land –use changes, which are real changes, for
instance deforested areas or newly built towns.