1 India. In:
ing, edited
cation).
New Delhi,
L., Joseph,
ci, 70(7),
is. Part 1,
Wisconsin,
Land Use
rent crops.
suitability
Bureau of
l, Nagpur.
1), 1982.
> Soil Sci.
lohan, P.,
planning.
a, Rajeev
cation in
. Remote
L., 1997.
ible land
al, USDA
ublishers,
h d
" edition,
ishington,
)1. Land
Brussels,
IAPRS & SIS, Vol.34, Part 7, “Resource and Environmental Monitoring”, Hyderabad, India, 2002
LAND RESOURCES DEVELOPMENT ACTION PLAN USING REMOTE SENSING AND
GIS: À CASE STUDY IN GHAGGAR WATERSHED.
Arya, V. S.*, Hooda, R. S°., Rao, T. B. V. M*, Chaudhry, B. S*.,Sultan Singh?®, Prasad, J°.
Tiwari, A. K°., Kudrat, M°., Pramod Kumar®, Ravindran, K. V°. and
Manchanda, M. L?.
a Haryana State Remote Sensing Application Centre, CCS H.A.U Campus, Hisar, Haryana. Fax. 01662-25958 Ph. 01662-32632
b Regional Remote Sensing Service Centre, Indian Institute of Remote Sensing Campus, Dehradun, Utranchal.
KEY WORDS : Watershed, Remote sensing, Ground truth, Integration, Action Plan
ABSTRACT :
In today's dynamic situation, accurate, meaningful, current data on land resources are essential. For preparing a sound and feasible
planning for natural resources on sustainable basis, it is preferable to treat the watershed as a single unit, especially for soil and
water conservation. IRS LISS11 FCC (False Colour Composite) and digital data of different seasons were used for the
study. Various thematic maps like slope, soils, landuse/landcover, geomorphology, geology, forest etc. were generated with
sufficient ground truth varification. A site specific action plan was generated after integrating all these themes in the watershed area.
INTRODUCTION
Over exploitation of natural resources by the burgeoning
population has resulted into fast degradation of fertile lands and
depletion of water resources. The cultivable area of the country
is estimated to be 186 m ha. Cultivated area at the end of 1993-
94 was about 142 m ha. Indications are that because of pressure
on land due to increasing population, it may not be possible to
increase the cultivated land and it will be stabilized at 140-145
m ha. . Out of total cultivable area of 140-145 m ha, gross
irrigated area will be about 150- 160 m ha, area under
watershed management about 10 -15 m ha and area to be
protected from soil erosion about 30-35 m ha by 2050 (anonym,
2000). This incessant problem has made it imperative to apply
the latest innovation of remote sensing technology for quick
appraisal and inventory of existing and potential natural
resources. Remote sensing is now universally recognized as a
highly effective and versatile tool for surveillance and
management of land and water resources. Watershed, being a
compact natural unit, has its own characteristic features and
problems related to land and water resources. In order to obtain
maximum benefit out of these resources with minimum
hazards, it is preferable to treat the watershed as a single unit,
especially for soil and water conservation, flood management,
prevention and control of siltation and sedimentation, proper
landuse and increase of land productivity. The present study
involves preparation of various thematic maps such as landuse,
soils, geology, hydrogeomorphology, etc. It aims at
interpretation, identification, classification, mapping and
analytical studies of watershed characteristics to integrate all
these aspects for better management of the watershed.
BRIEF DESCRIPTION OF THE AREA
The watershed forms a part of the Dangri catchment, a
tributary of Ghaggar river. The study area covers a total of
9588 ha. and lies between 30°35' to 30°43'N latitude and
77°00'E to 77°08'E longitudes The annual average rainfall in
665
this area is about 780 mm. Nearly 81 per cent of the annual
normal rainfall is received during monsoon season and about 11
per cent during winter. The drainage of the watershed varies
from dendritic to sub-dendritic and at some places sub-parallel
also. Above 650 meter elevation, sub-tropical forests viz. chir (
Pinus roxburgii), chhall, khair and shingan etc. are found. The
tropical type of vegetation such as sisham, kikar, eucalyptus
etc. are mainly found in foot hills and plains.
MATERIALS AND METHOD
IRS-IB LISS II FCC (False Colour Composite using bands
2,3,4) geocoded on 1:50,000 scale of June 14, 1992, October
25, 1992 and January 8, 1994 (Three season data) and IRS-IB
CCT of June 2, 1993, Oct. 12, and Jan. 8,1994 of Path-30 and
Row-46. Using standard image characteristics such as tone,
texture, pattern, shape, size, location and association, etc. the
visual interpretation of the imagery was carried out. Various
thematic maps such as soil, slope, geology and
hydrogeomorphology, etc. were prepared visually. Landuse
map was prepared by digital classification of satellite data
(CCT) using a hybrid classifier which included a mix of
unsupervised and supervised classification. The digital data
were geometrically corrected for pixel to pixel superimposition
and geo-referencing.The data were submitted for natural
grouping of spectral properties of the pixels. The resultant
image was regrouped depicting classes of interest. Finaly the
landuse statistics and photo-write compatable tape of the
aggregated classified output were generated for the study area.
The normalized difference vegetation index (NDVI) image of
the data was also generated. The NDVI is the index of the
vigour and intensity of the biomass.
The DEM for the Watershed was generated using the digitized
contour information. Various thematic maps were checked and
verified in the field by conducting ground survey. The ground
details were incorporated while preparing the final maps. The
land resources development plan was developed based on
integrated study of land use, soils, geomorphology, ground
water and socio-economic data.