REMOTE SENSING AND GIS FOR SUSTAINABLE DEVELOPMENT : AN OVERVIEW
D.P.Rao
Director
National Remote Sensing Agency
(Department of Space, Govt. of India)
Balanagar, Hyderabad - 500 037
(INDIA)
e-mail: director@nrsa.gov.in
dprao@hd1.vsnl.net.in
KEY WORDS: Sustainable development, sustainability, sustainability indicators, remote sensing, GIS,
Integrated Mission for Sustainable Development
ABSTRACT
Sustainable development of natural resources calls for utilization of available land and water resources
based on their potential and limitations while maintaining a good harmony with the environment. It could be
achieved through generating information on natural resources and integrating it with the social, cultural and
economic needs of the people to arrive at action plans identifying specific interventions on watershed basis
using contemporary technology in consultation with the integrated assessment of natural resources in
consultation with the specialists not only in agriculture, horticulture, water resources, land use, forestry, and
soil conservation but also in social sciences. Remote sensing provides the basic data to generate baseline
information on natural resources, and the temporal information to monitor the sustainable land and water
resources management practices. The article provides an overview of different aspects of sustainable
development including the role of remote sensing and our experience with a major national project
employing its conceptual framework. While executing this project, we have developed a package for arriving
at locale-specific prescription for sustainable development by integrating the information on natural
resources derived from remote sensing data, and ancillary information in a GIS environment.
1. INTRODUCTION
Over exploitation of available natural resources for
meeting the ever increasing demand for food, fuel
and fiber has led to serious environmental
degradation. Globally, an estimated 1,965 million
ha of land are subject to some kind of degradation.
Of this, 1,094 million ha of land are subject to soil
erosion by water and 549 million ha of land to soil
erosion by wind (UNEP/ISRIC,1991). In addition,
an estimated 954.8 million ha of land are affected
by salinity and sodicity or both (Szabolcs, 1992)
and another 3,600 million ha of global area
comprising of hilly regions of the humid tropics of
India , Manchurea, Korea, south-west China and
Africa are under shifting cultivation (Schlippe, 1956;
Conklin, 1957). In India alone, out of 328 million ha
geographical area, 150 million ha of land are
affected by wind and water erosion (Anonymous,
1976). Annually, an estimated 6000 million tonnes
of soil is lost through soil erosion by water (Das,
1985). Apart from this, shifting cultivation,
waterlogging, and salinization and / alkalinization
have affected an estimated 4.36 million ha, 6 million
ha and 7.16 million ha of land, respectively
(Anonymous, 1976). Frequent floods and drought
further compound the problem.
Degradation of land by way of deforestation for
timber and fuel wood, shifting cultivation and
occasionally forest fire is a very serious
environmental problem. Besides, another equally
important aspect of the sustainability of vegetation
is the bio-diversity that need to be preserved.
Water resources both surface as well as ground
water are very crucial for sustaining flora and fauna.
Over exploitation of ground water and wastage of
precipitation water as run-off are the major issues
which are to be addressed in the context of
sustainable development. In addition, pollution of
water by mining waste, solid wastes and sewage
need to be checked. Anthropogenic activities along
the coast may further deteriorate the delicate
coastal ecosystem. In the event of major climatic
change, coastal areas are going to be affected
more. In addition, exploitation of marine resources
especially off-shore oil drilling and ocean water
pollution due to effluents from industries, solid
wastes and oil-spilled over from ships may affect
the ocean environment.
156 Intemational Archives of Photogrammetry and Remote Sensing. Vol. XXXII, Part 7, Budapest, 1998