IAPRS & SIS, Vol.34, Part 7, "Resource and Environmental Monitoring", Hyderabad, India, 2002
EVALUATION, CHARACTERISATION AND MANAGEMENT OF SOIL - WATER
RELATED CONSTRAINTS FOR SUSTAINABLE AGRICULTURE : AN INTEGRATED
APPROACH USING REMOTE SEN SING AND GIS
V.K. Verma **, L. B. Patel *, P.K. Sharma *, G.S. Toor ^, Vinay Singh ©
* Punjab Remote Sensing Centre, PAU Campus, Ludhiana, Punjab, India - (vip_verma@rediffmail.com)
® Department of Plant and Soil Sciences, College of Agriculture and Natural Resources, University of Delaware, Townsend Hall,
Newark, DE 19717-1303 - (gurpal @udel.edu)
* Department of Agricultural Chemistry and Soil Science, RBS College , Bichpuri, Dr. B.R. Ambedkar University, Agra, India
KEY WORDS: Sustainable Agriculture, Soil, Groundwater, Remote Sensing, GIS
ABSTRACT:
The arid and semi arid zones of north and north west India harbour a large variety of problems associated with soil and water
management due to brackish ground water, sandy terrain, wind erosion, poor retention of water and nutrients, soil salinity associated
with waterlogging etc. Even under best possible soil and water management practices, one or the other soil degradation processes
operate at a perceptible pace resulting in such a degradation that the term "desertification" is popularly used to describe these
regions. It calls for assessment and integration of land and water resources and identification of constraints at micro level. In this
context, integrated approach using remote sensing and GIS offers technologically the appropriate method of studying land and water
resources, characterising the coherent agricultural zones and identifying constraints for sustainable agricultural management. In view
of this, the soil and ground water quality maps were prepared, digitised and integrated using ILWIS 2.1 GIS to identify and map soil
and water related constraints for sustainable agriculture in Faridkot district (Punjab), India. The study indicates that coarse textured
soils and soil salinity associated with waterlogging pose physical and hydrological constraints. Chemical constraints, due to salinity,
alkalinity and sodicity in ground waters is also a major cause of concern in the area. Based on soil and water constraints, the site
specific action plan map for has also been generated.
1.INTRODUCTION
The growing concern of agricultural sustainability expressed
during the last two decades of the twentieth century is being
carried into the twenty first century because of the shrinking
arable land resources, rapidly increasing population, transfer of
arable land to other uses and degradation of land and water
resources. The concept of sustainable agriculture becomes
pertinent and takes on a new dimension when viewed in the
context of limits to resource availability and use (Dumanski ef
al. 1992). The United Nations Conference on Environment and
Development (UNCED,1992) in its Agenda 21 deliberated on
seven issues related to sustainable agricultural production and
efficient use of natural resources, especially soil and water. In
this context, Government of India is giving high priority for the
inventory of both sandy and salt affected soils and proper
exploitation of water resources. In view of this, an attempt has
been made to generate and integrate the thematic information to
identify and map constraints related to soil and water resources
for sustainable agricultural development in Faridkot district of
Punjab, India.
2. STUDY AREA
The study area covering 1440 sq. km., cover two blocks
namely Faridkot and Kotkapura of Faridkot district, Punjab. It
forms a part of the Indo-Gangetic plain varying in age from
Pleistocene to late Holocene period. The area represents two
types of climate viz., 'Semi arid and less hot' which qualifies
for Ustic soil moisture regime and Hyperthermic soil
temperature regime and ‘'Arid and hot' which qualifies for
‘Aridic’ soil moisture regime. Soil moisture regime
computations using Newhall mathematical model indicate that
the southern part of the area has “weak aridic' moisture regime
(Van Wambeke, 1985).
3. METHODOLOGY
The flow chart (Fig. 1) gives the methodology followed. The
IRS-1C LISS-III geocoded satellite data of March, 1998 in the
form of false colour composites was visually interpreted to
identify and map physiographic units.
BASE MAP
|
| |
IRS LISS III FCC GROUND WATER
SAMPLE COLLECTION
| |
INTERPRETATION, FIELD ANALYSIS FOR
WORK, ANALYSIS, CHEMICAL
SOIL-PHYSIOGRAPHY CONSTITUENTS
RELATIONSHIP
| |
SOIL RESOURCE MAP GROUND WATER
OUALITY MAP
DIGITISATION &
INTEGRATION USING ILWIS
RESOURCE CONSTRAINT MAP
SITE SPECIFIC
RECOMMENDATIONS
Figure 1. Paradigm of the approach
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