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

Damen, M. C. J.

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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:: 2 Microwave data. Chairman: N. Lannelongue, Liaison: L. Krul

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: The determination of optimum parameters for identification of agricultural crops with airborne SLAR data. P. Binnenkade

Document type:: Multivolume work

Structure type:: Chapter

111 Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 The determination of optimum parameters for identification of agricultural crops with airborne SLAR data P.Binnenkade National Aerospace Laboratory NLR, Amsterdam, Netherlands ABSTRACT: The SLAR campaigns of the Dutch ROVE-Team "Crop Identification" in the years 1983-1985 are discussed. From data—acquisition through classification the determining parameters are elaborated. The 1985 campaign which used steeper incidence angles in order to simulate satellite data, and is thus different from previous ROVE-campaigns, is discussed. 1 INTRODUCTION Microwave remote sensing has played an important role in The Netherlands Remote Sensing community since the late sixties. Especially the work on the radar backscatter of vegetation canopies has always been given great emphasis. The ROVE-team (ROVE stands for Radar Observation of VEgetation), which has been involved in all land-applications of micro- wave remote sensing in The Netherlands, then and today consists of representative scientists and technicians from the following institutes: - Agricultural University of Wageningen and its associated institutes - Delft University of Technology, Microwave Group - Physics and Electronics Laboratory TNO - National Aerospace Laboratory NLR. Starting with a pulse-type X-band measuring radar operating from a TV-tower in 1968, the ROVE-group nowadays makes use of a calibrated digital SLAR (Fig. 1) mounted in the NLR Metro II Laboratory air craft and a multiband airborne scatterometer (DUTSCAT) installed in the NLR Queen Air laboratory aircraft in combination with supporting ground truth instrumentation. One of the principal aims of the ROVE-group is the identification and classification of agricultural crops from microwave data. Such data (obtained from airborne or spaceborne sensors) contain only one type of information: radar backscatter as a function of position. This radar backscatter is the condensed result of a great number of contributing factors. Even when confined to only one frequency the radar return is influenced by: - polarization effects - illumination function - incidence (grazing) angle - crop height - crop coverage - vegetation-structure parameters - soil roughness - moisture content. Some of these factors may be considered fixed and measurable whereas others can be influenced and changed by setting the radar and/or antenna and by flight-geometry modifications. Nevertheless, due to the complexity of the above parameters, work on theoretical models became indis- pendable (Ulaby, Attema, Hoekman). At an early stage it was recognized that this modelling work had to be supported by ground-based measurements on crops and soils. Special emphasis was given to the need for simplicity in the models to limit the number of un known parameters (Ref. 1). 2 CROP IDENTIFICATION One of the specialized sub-groups of ROVE is the workinggroup "Crop Identification" in which the following institutes participate: - Centre for Agrobiological Research CABO - Delft University of Technology, Information Theory group - Physics and Electronics Laboratory TNO - National Aerospace Laboratory NLR. The workinggroup has chosen to undertake two parallel paths of (applied) research: 1. Research into (hierarchical) classification methods for radar data. 2. Initiation and execution of semi-operational application programmes. As for the latter, upon request from The Nether lands agricultural authorities an application pro gramme has been carried out in 1983 and 1984 to monitor crop rotation, especially potatoes, in a number of (ecologically-different) regions within The Netherlands. Crop disease control authorities allow potatoes to be grown only once every three years on any one field (if no other protective measures are taken); thus it has become desirable to monitor adherence to this practice. The group was asked to devise a method to uniquely discriminate potatoes from all other crops, hence time-consuming ground investigations be reduced. Three test-sites with an area each of 20*4 km were chosen in the Flevo-polders, Groningen and Brabant province respectively. 3 THE DUTCH DIGITAL SLAR Sideways-looking airborne radar (SLAR) is an in strument which allows for data to be acquired on a line- to-line basis. The calibrated digital SLAR (X-band) uses a digital recording system where each line is formed on a point-to-point basis (Table 1). The received radar backscatter varies widely in a stochastic way when natural surfaces and -objects are observed; good estimates of the backscatter coefficient can only be made by com bining a large number of independent measurements. The Netherlands SLAR has been designed to do so (Table 1).

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