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:: Land suitability mapping with a microcomputer using fuzzy string. J. P. Wind & N. J. Mulder

Document type:: Multivolume work

Structure type:: Chapter

947 Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 Land suitability mapping with a microcomputer using fuzzy string J.P.Wind & N.J.Mulder ITC, Enschede, Netherlands INTRODUCTION: In this report a system is described which allows digitizing, editing and storage of land units in a database. Land suitability for selected crops is mapped on a color raster screen by selecting a color code for suitability mapping. Intervals are defined on the attributes as strings. The measure for suitability for a certain crop is derived in two possible ways: 1. For each suitability class the required properties )strings) are matched (AND-function of (un)equal property values of crop and land unit) against the land unit property table; an exact match produces the choosen color on the screen. 2. For one crop the ideally required properties are matched against the land unit property table (string) but a measure or (mis)match is given based on the Hamming distance of the property strings. Each distance can by assigned a different color. 1. HOW TO MAKE A LAND SUITABILITY MAP. To obtain a landsuitability map the following steps have to be taken: a. digitize/edit land unit boundaries (free digitizing). b. define/edit list of centroids vs. land units. c. generate a list of map attributes. map unit: soil depth: salinity: ph: for each attribute generate a menu of allowed attribute values (text strings): attrl. menu: soil depth 0 to 5 cm 5 to 10 cm 10 to 20 cm 20 to 40 cm 40 to 80 cm > 80 cm d. Generate a table with lines containing: map unit, attributel, attr.2 Relation table II Crop requirements: crop class soil depth ph attr.3 pat at good > 80 cm 7 " med. 5 to 10cm 6 ft bad 0 to 5 cm 5 beets good > 80cm 6.8 ... " med. 20 to 40 cm 5.0 ft bad 10 to 29cm 4.8 good • • to . . cm Relation table III Crop suitability vs colour: crop class red green bleu Patat good 255 255 000 ft med. 128 128 000 " bad 32 32 00 Beets good 000 255 000 ft med. 000 128 000 and for each attribute select an attribute value from the current attribute value menu using the cursor, move to the next attribute next menu etc. Relation table I Map unit attributes map unit soil depth ph of attr.3 name soil Aal 5 to 10 cm 7.0 Bai > 80 cm 5.2 e. Generate a table relating crop suitability to map unit attributes. For the attributes choose for each attribute a value from the menue for that attribute. f. For each required crop type and range of suitability classes define a colour code: g. For all crop classes compare the attributes required (strings) with the map unit attributes (strings) available, if all attributes match then link the suitability colour coding table III through to the centroid table IV expanding the proper map units in the proper colours or: map the per pixel map unit number through the colour look up table into the right colour. Relation table IV centroid xc.yc map unit number map unit code 123,987 0 Aal 345,6241 0 Aal 23,719 1 Ba2 998,34 2 Pq9 321,789 255 ZwO

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