Remote sensing for resources development and environmental management: Remote sensing for resources development and environmental management

damen, m. c. j.

Bibliographic data

Multivolume work

Persistent identifier:: 856342815

Title:: Remote sensing for resources development and environmental management

Sub title:: proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A. A. Balkema

Identifier (digital):: 856342815

Language:: English

Additional Notes:: Volume 1-3 erschienen von 1986-1988

Editor:: Damen, M. C. J.

Document type:: Multivolume work

Volume

Persistent identifier:: 856641294

Title:: Remote sensing for resources development and environmental management

Sub title:: proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986

Scope:: IX Seiten, Seiten 551-956

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A,. A. Balkema

Identifier (digital):: 856641294

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(26,7,2)

Language:: English

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

Editor:: Damen, M. C. J.

Editor:: International Society for Photogrammetry and Remote Sensing, Commission of Photographic and Remote Sensing Data

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:: Volume

Collection:: Earth sciences

Chapter

Title:: 8 Geo-information systems. Chairman: J. J. Nossin

Write comment:: Wegen zu enger Bindung kommt es teilweise im Original zu Textverlust.

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: The CRIES Resource Information System: Computer-aided spatial analysis of resource development potential and development policy alternatives. Gerhardus Schultink

Document type:: Multivolume work

Structure type:: Chapter

se and land cover ;h remote sensor Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 ;lysis for small Week, Harvard 1982. and statistical lethuen, 336 p. base techniques, m. of the binary >n for curves and : 1, p. 37-52. id mapping satel- :10, p.1585-1591. L successful case implementation: nual Convention, 265. 1984. Findings municipal data- : design. Intern, irich, Aug. 1984, The CRIES Resource Information System: Computer-aided spatial analysis of resource development potential and development policy alternatives Gerhardus Schultink Comprehensive Resource Inventory and Evaluation System (CRIES) Project, Michigan State University, East Lansing, USA ABSTRACT: This paper addresses analytical procedures and two of the major micro computer-based software modules of the Comprehensive Resource Inventory and Evaluation System (CRIES) Resource Information System (RIS). System objectives, the land evaluation framework and selected outputs of the CRIES Geographic Information System (CRIES-GIS) and the the CRIES Agro-economic Information System (CRIES-AIS) are discussed using selected examples from developing countries. Co database sys- Addison-Wesley. iphic data base: n Kavalinas and rto II, Intern. .1985, p.523-538. ta structure for n H. Freeman and Processing. New systems: Thematic 213-221. iormation systems Survey). Working it on, Bureau of tem for monitor- Ltemporal Landsat A digital eleva- )ap derived from , p. 1937-1944. i systems a net- IS Coord. Proj. asury, 31 p. An evaluation of red raster data, age, Sept. 1986. ster format for Fall Technical VSYL database for Symp. on Spatial II, p. 574-575. can aid naviga- P.E.R.S., 48:2, at imagery for Lng in the Rocky -200. Spatial filtering iction of mapping posium on Remote f5. Cartographic . 2:1, p. 55-69. >f digital multi classification. ial of SPOT image valuations of the tic potential of apper image data. Specific emphasis is given to the use of the integrated spatial data base, maintained in the GIS system and the AIS-YIELD and AIS-MULBUD model used to assess comparative production advantage. YIELD provides the capability to predict yield for a large number of food and export crops for user-selected locations and agro-eco1og ica 1 zones. MULBUD provides multiple enterprise analysis of short and long season crops to determine economic returns resulting from farming systems options representing Land Utilization Types (LUT's) In combination with other CRIES-RIS modules and the established data base, the YIELD model provides the user with the analytical framework to evaluate physical and socio-economic attributes by location, and determine the comparative advantage of sites for land use alternatives. Farming systems, and regional or national aggregates can also be evaluated with regards to their optimum performance characteristics and resulting socio-economic benefits derived under alternative land use and development policy scenarios. 1. INTRODUCTION The Comprehensive Resource Information and Evaluation System (CRIES) Project encompasses a systematic resource analysis approach to evaluate public and private benefits derived from alternative land use options and policy scenarios. Examples in the developing world include the creation of food self-sufficiency while meeting rural employment requirements or meeting balance of payment goals through the expansion and/or intensification of the production of food and cash crops, resulting in increased exports of agricultural commodities and import substitution. The resource evaluation methodology employed by CRIES represents an effort to develop, adapt, and document general procedures to inventory, classify and analyze current land use, its distribution, extent, and development potential of agricultural and natural resources for development planning. CRIES has three general objectives: a) to apply a consistent approach to land resource assessment which is adaptable to many countries and suitable for the transfer of appropriate agrotechnology; b) to provide assistance in integrated surveys, development of a computer compatible resource data base and computer- aided analysis software suitable for the analysis of development options and policy evaluation; and c) to provide the training and technical assistance necessary to develop indigenous capabilities to inventory and classify renewable resources, to production potential, systematically evaluate alternatives and derived private benefits. assess crop and to development public and This evaluative framework is supported by computer-aided procedures designed to systematically delineate agro-ecologica1 production zones (the so-called Resource Planning Units or RPU's), representing areas with physical characteristics considered relatively homogeneous at the level of detail supported by the land evaluation. These RPU's can be related to existing land uses, associated farming systems and estimated crop production potential based on existing and alternative land utilization types and associated enterprises identified. The difference between current land use and resource production potential, expressed in crop yields or economic terms, such as "land rent" is defined as "unrealized production potential," a first approximation of the quantitative magnitude of development potential to meet critical policy objectives.

Access restriction

Copyright

fullscreen: Remote sensing for resources development and environmental management (Volume 2)

Multivolume work

Volume

Chapter

Chapter

Table of contents

Cite and reuse

Volume

Chapter

Image

Image fragment

Citation links

Citation recommendation