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:: Multitemporal analysis of LANDSAT Multispectral Scanner (MSS) and Thematic Mapper (TM) data to map crops in the Po valley (Italy) and in Mendoza (Argentina). M. Menenti & S. Azzali, D. A. Collado & S. Leguizamon

Document type:: Multivolume work

Structure type:: Chapter

293 Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 Multitemporal analysis of LANDSAT Multispectral Scanner (MSS) and Thematic Mapper (TM) data to map crops in the Po valley (Italy) and in Mendoza (Argentina) M.Menenti & S.Azzali Institute for Land and Water Management Research (ICW), Wageningen, Netherlands D.A.Collado & S.Leguizamon Instituto de Investigaciones Aplicadas en Ciencias Espaciales (HACE), Mendoza, Argentina ABSTRACT: Practical applications of LAUDSAT Multispectral Scanner (MSS) and Thematic Mapper (TM) images in digital format to crop monitoring are presented. Image availability and timeliness are dealt with in relation with phenological variability and intercropping. Crop identification and mapping is done by establishing a indices and overpass dates. A.n application of this method is presented. Out of the different vegetation in dices, the transformed vegetation index (TVI) is chosen to assess the statistical significance of observed differences. It is concluded that the accuracy of the TM sensor onboard LANDSAT 5 is sufficient to guarantee pixels or more give statistically significant differences in TVI-values. Independent of the number of pixels, relative differences of about 4% are not significant. multitemporal discrimination scheme which makes use of crop labels defined in terms of different vegetation the accuracy of observed and significant differences in vegetation index values. MSS or TM image samples of 5 Identification and mapping of agricultural crops with LANDSAT data is a classic piece of remote sensing research and application. In the first decade of monitoring of earth resources by satellites the ap pealing theoretical elegance of numerical classifica tion methods stimulated much research into crop map ping with single-date LANDSAT imagery. In the last years a clear trend seems to emerge (Crist 1984, Jackson et al. 1983, Miller et al. 1984, Hinzman et al. 1984), which emphasizes multitemporal analysis of satellite imagery to map crops. In our opinion this is due to the recognition of the limits of automatic classification methods and to the need of reducing the amount of processing required for each scene. The latter is a particularly important issue when one tries to use operationally satellite imagery in digital form. The potential of satellites to provide frequent and regular information on agri cultural crops within large areas can be spoiled by excessive costs and the processing time required for analysis. 1 INTRODUCTION actually available images, i.e. those present in the Earthnet archive, and of suitable images, i.e. those available within the period most suited to crop identification (Azzali 1986) are relatively low. In 1985, for example, only 17.5% of overpasses gave suitable images for our purpose. It should also be noted that 1985 was the best year in the time span 1980-1985 (Table 1). Table 1 shows that applications requiring 3 suitable images per year were feasible in each year except 1983. Anderson (1986) underscored the commercial potential of crop monitoring by means of LANDSAT applications requiring 4 and 5 suitable MSS-images per year. Table 1 shows that such applica tions would not be operationally reliable, since 5 MSS suitable images were available for only two years out of six for both irrigation districts. 2.2 Phenological variability The practical aspects of crop mapping by means of satellites, therefore, are not only details to be dealt with after having developed a technique, but should be considered beforehand to establish which methodology best suits the operational requirements. In general terms one has to consider the practical aspects of image availability and processing and of agricultural reality, e.g. phenological variability within each crop and intercropping. The feasibility of crop mapping by means of multi temporal LANDSAT imagery relies entirely on accurate knowledge of crop phenology. It is especially impor tant to estimate precisely the period of occurrence of each phenological stage. Agricultural practices, such as choice of variety, seeding date and applica tion of fertilizers, increase the spread in the period of occurrence of phenological stages in in dividual fields where the same crop is being grown (Crist 1984). In this paper the approach and its application are briefly presented. We will focus on the underlying scientific issue of the statistical significance of the observed differences. Out of the seven TM-bands only two, i.e. TM 3 and TM 4, are applied because of the comparison with MSS 7 and MSS 5 and of the need to leave TM 5, TM 6 and TM 7 available for detection of crop-specific effects, e.g. water stress. Phenological observations in some 80 plots were collected in the two Italian irrigation districts during the growing season 1985. For each crop and phenological stage, a graph has been constructed of a function a (t) giving the area, on any given date, where that particular stage occurs. Then the function: t t 2.1 Actually available and suitable LANDSAT images 2 SOME PRACTICAL CONSTRAINTS IN OPERATIONAL CROP MAP PING BY SATELLITES We can, therefore, define a period of time with t2 being the last date of observed occurrence of each stage. The period [t^, 12] is, therefore, directly obtained from the field observations. The is calculated to obtain the total area where the par ticular stage has occurred before day = t. The day = t^ is the first date of occurrence according to the phenological field observations. is the first date of occurrence according to the The application of LANDSAT data to crop monitoring does in principle benefit from high temporal resolu tion. As Table 1 shows, however, the percentages of

Access restriction

Copyright

fullscreen: Remote sensing for resources development and environmental management (Volume 1)

Multivolume work

Volume

Chapter

Chapter

Table of contents

Cite and reuse

Volume

Chapter

Image

Image fragment

Citation links

Citation recommendation