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:: 856343064

Title:: Remote sensing for resources development and environmental management

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

Scope:: XV, 547 Seiten

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A. A. Balkema

Identifier (digital):: 856343064

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(26,7,1)

Language:: English

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

Editor:: Damen, M. C. J.

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:: 3 Spectral signatures of objects. Chairman: G. Guyot, Liaison: N. J. J. Bunnik

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: LANDSAT temporal-spectral profiles of crops on the South African Highveld. B. Turner

Document type:: Multivolume work

Structure type:: Chapter

325 Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 56 sugar-beet ml „ 57 turnip 42 sugar-beet min ' , R . ; >ns of spec- L objects oational Remote obinoon, G.F. jricultu ral space, aerial at ional Remote 3. 1983. bee a ues daus les nes - res spec- n. 83. Issledo- sociolisti- 3: 120 - 4. Metod zenki ugodij ledovanie LANDSAT temporal-spectral profiles of crops on the South African Highveld B.Turner Optical Sciences Division, Nat. Physical Research Lab., Pretoria, South Africa ABSTRACT : LANDSAT MSS data were standardized for variations in digital count coding between different receiving stations, satellite sensor response and solar illumination of the scene. The Kauth and Thomas approach has been used to obtain the independent variables of soil brightness, greenness and yellowness. The coefficients of the rota tion matrix were modified to suit local conditions. Three vegetation indices, the vegetation ratio, the normalized vegetation index and the greenness index have been determined on a field-by-field basis using data recorded on sixteen overpasses within thirteen months. An intercomparison of the spectral-temporal profiles for a variety of crops is in progress. A correlation between the spectral profiles and a ground reference set consisting of detailed information on planting, growth and environmental conditions is to be undertaken. The spectral separability of the crops in terms of the vegetation indices and the field conditions is being evaluated. 1 INTRODUCTION The need to develop objective, repeatable and time- efficient methods for crop identification has been recognized by researchers particularly in the United States of America since the 1970's. The identifica tion of cultivated crops from LANDSAT imagery has traditionally been accomplished by the recognition of certain crop characteristics which change throughout the growing season (i.e. temporal changes)(MacDonald and Hall, 1980). Success depends upon the correct estimation of the time of occurrence of a particular crop feature which is stable from year to year and which does not overlap with similar characteristics of other crops growing in the same geographic region. In the few cases where such features can be identified, a unique signature for each crop can be accurately and consistently defined (Malan and Turner, 1984). An alternative approach was introduced in 1976 when Kauth and Thomas (Kauth and Thomas, 1976) showed that a fixed two-dimensional subspace of the LANDSAT four- dimensional measurement space contained most of the spectral information for a very large range of agri cultural, seasonal and meteorological conditions (Hall, 1982). Furthermore, they proposed that two of the transformed axes of the subspace related to changes in scene brightness and changes in the leafy matter in the vegetative canopies. Other researchers (Jordan, 1969; Pearson, 1972; Rouse et al., 1973; Colwell, 1974; Maxwell, 1976; 1978; Richardson and Wiegand 1977) have suggested cer tain mathematical combinations or vegetation indices in an attempt to establish a relationship between LANDSAT multispectral scanner (MSS) data and the ground cover canopy. It is also important to realize that there are a number of variables which significantly influence the data collected by earth orbiting satellites. For quantitative studies, methods of data analysis must be selected or developed to take the effects of these variables into account. In the present study, techniques which have been successful elsewhere have been applied to agricultural MSS data collected for the Highveld region of RSA. Control data concerning the characteristics of the crop canopy have been obtained from an agricultural survey conducted simultaneously with LANDSAT overpas ses by officers of the Highveld Region of the Depart Figure 1. Location of test area. ment of Agriculture (Malan and Turner, 1982). A correlation has been sought between time series of spectral reflectance properties of the vegetative cover as measured by LANDSAT MSS data and known features of the actual crops. 2 STUDY AREA DESCRIPTION AND DATA SOURCES 2.1 Choice of test area The LANDSAT-scene identified by a code WRS 182-79 in

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