Application of remote sensing and GIS for sustainable development

Bibliographic data

Monograph

Persistent identifier:: 856472832

Title:: Application of remote sensing and GIS for sustainable development

Sub title:: [Workshop on "Environmental Modelling Using RS & GIS for Sustainable Development" ... on 11th March 1999]

Scope:: 82 Seiten

Year of publication:: 1999

Place of publication:: Coventry

Publisher of the original:: RICS Books

Identifier (digital):: 856472832

Illustration:: Illustrationen, Diagramme, Karten

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Monograph

Collection:: Earth sciences

Chapter

Title:: GEOINFORMATICS FOR FOREST ECOSYSTEM MANAGEMENT. P.S. Roy

Document type:: Monograph

Structure type:: Chapter

51 The fundamental aspect of long-term sustainable development is based on the paradigm of technological innovations, economic determinism and physical constraints imposed by the environmental imperative of striking a judicious balance between ultimate exploitability and regenerative capacity. Evolution from satellite based mapping to spatial modelling has revolutionised the Decision Support System for practical use through Geomatics tools, thus providing natural and transparent computational support for sustainable development. Evolution and implementation of well thought out, long-term national policies and creation of a promotive international atmosphere alone can lead to such a development across the world, enabling the entire humankind to share the benefits of satellite remote sensing. Satellites cannot provide information on all the parameters related to forest change. A purely satellite based system may miss significant features or events which indicate ongoing and impending changes. Such knowledge is usually available locally where foresters, environmentalists, scientists, project managers, planners or even news agencies gather first-hand information. The problem is to insert such local knowledge into a broader context where it can be interpreted and linked to information at more generalised levels. Geomatics has made attempts to incorporate such unstructured and sometimes casual information in its systematic information gathering exercise. REFERENCES Anonymous (1993). Rehabilitation of logged over forests in Asia/Pacific region. Final report of Sub Project 11. International Tropical Timber Organisation-Japan Overseas Consultants Association, pp. 1-78. Abhineet Jain. Ravan S.A., Singh R.K., Das K.K. and Roy P.S. (1995). Forest fire risk modelling using remote sensing and geographic information system. Current Science, 70(10):928- 933. Botkin D.B., Estes J.E., McDonald R.M. and Wilson M.V. (1984). Studying the earth’s vegetation from Space: Bioscience 34, 508. Canned M.G.R., Milne R., Sheppard L.J. and Unsworth M.H. (1987). Radiation interception and productivity in Willow. Journal of Applied Ecology, 24, 261-278. Chacko V.J. (1964). A manual on Sampling Techniques for forest surveys , pp. 55-65 & (Sub Sampling), pp. 94-110 (Double Sampling), Govt. Publications. Champion H.G. and Seth S.K. (1968). A revised survey of forest types of India (New Delhi: Govt. Publications). Curran P.J. (1980). Multispectral remote sensing of vegetation amount; Proc. Phys. Geogr. 4, 315-341. Goward S.N. and Dye D.G. (1987). Evaluating North American net primary productivity with satellite data: Advances in Space Research. 7. 165-174. Houghton R.A. and Woodwell G.M. (1981). Biotic contributions to the global carbon cycle: the role of remote sensing; Proc. Seventh International Symposium on Machine Processing of Remote Sensing Data. West Lafayette, Indiana, pp. 593-602. Kumar M. and Monteith J.L. (1982). Remote Sensing of plant growth; In: Plants and the day light Spectrum, edited by U. Smith (London : Academic press) 133-144. Linder S. (1985). Potential and actual production in Austrailian Forest stands. Research for forest management: Proceedings of a conference of division of forest research held at CSIRO. Om 21-25 May 1984, edited by J.J. Landsberg and W. Parsons. Lieth II. (1973). Primary production; Terrestial Ecosystems: Human Ecology. 1.303-322. Mukherjee K.T., Bandopadhyay T.K. & Pande S.K. (1991). Detection & delineation of depth of subsurface coal mine fire in a part of Jharia coal field. Photogrammetry Engineering & Remote Sensing, 57. 1203. Monteith J.L. (1972). Solar radiation and productivity in tropical ecosystems; Journal of Applied Ecology. 9, 747-766. National Remote Sensing Agency (1983). Nation-wide mapping of forest and non-forest area using Landsat False Color Composites for the period 1972-75 and 1980-82. Project report. Vol. I, Hyderabad. Prince S.D. (1991). Satellite remote sensing of primary production: Comparison of results for Sahelian Grasslands 1981-1988; Int. .1. Rem. Sens, 12, 1301-1311. Rao U.R. (1996) Space Technology for Sustainable Development, Tata McGraw-Hill Publishing Company Ltd. New Delhi. Roy P.S. and Abhineet Jain (1998). A Satellite Remote Sensing Based Approach to Estimate Regional Net Primary Productivity of Forest: Global Change Studies. Scientific Results from ISRO Geosphere Biosphere Programme. 1998 (ed.) Prof. B.H. Subbaraya. Dr. D.P. Rao, Dr. P.S. Desai. Dr. B. Manikiam, Mr. P. Rajaratnam. Roy P.S. and Shirish A. Ravan (1996). Biomass estimation using satellite remote sensing data - An investigation on possible approaches for natural forest.(ed.) R. Uma Shankar. Roy ITS. (1993). Remote Sensing for Forest Ecosystem Analysis and Management: in Environmental Studies in India (ed.) M. Balakrishnan, New Delhi: Oxford and IBM) pp. 335- 363.

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