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

iltitemporal air- due to random id position of the flight :ort the resul- e further multi- iffects influence enna; e.g. the ipression is dependent National Aero- oration with iry TNO, the he Survey to implement a he central icquired data rcraft motion ■ recorded INS craft (INS = iry acquired rial is enabling data via an ’ARES-procedure i corrections, may now be irther complica- on [Ref. 2, 3]. ;e is a distur- id classifi- .cation algo- extraction pro in a pixel-by- -field basis, i have devised ild averaging. ien tried but The ir the "split- ivlidis-concept lage processing iace Laboratory irocess (in ;es with a number linimum field r erages where aced by a field- information, ds which contain r to contaminate . objects like ilso corrupt the ;ing the final leratively id classifier may isifier allows data space into .1 be obvious time-consuming te preceeding already greatly e pixel values, t is possible, int the angular .tural crops to in result. One irocess suffi- ilar dependence Table 1. Specifications SLAR data acquisition and registration chain. Antenna 2,5 m slotted wave guide Polarisation HH Pattern azimuth 16 mrad Elevation: cosec 2 -pattern (Ref. 2, 3) Transceiver Modified DECCA 65160 Frequency 9,4 GHz (X-band) Transmitted power 25 kW Pulse length 50 (250)ns PRF 100 Hz (200 Hz) DC coupled IF amplifier and detection circuit type ICLT 6020 from RHG Output: GO-2 V 23.7 mV/dB Dynamic range 80 dB SLARDIG Presample filter 3rd order 5MHz,(none) (SPEEDIG) Sample rate 20 MHz , (50 MHz) Start sampling jitter 0-5 ns, (same) 2048 samples = 15 km range,(4096;12 km) 8 bits/sample , (same) Input 0,01 ± 0,004 V; output 0, (same) Input 2,000 ± 0,004 V: (same) 7,8 mV/bit , (same) Aircraft data for PARES the data of the Inertial Sensor System (ISS) Litton LTN58 are important: True Heading TH North South Velocity VNS East West Velocity VEW Digital outputs Latitude LAT Longitude LON Angle of roll AR1IS Synchro outputs Angle of pitch AP1IS Digitized by RMDU Accuracy:angles better than 0.1° velocity better than 1 m/s position better than 2 mile/hr TABLE 2. Classification-matric of Flevo-area (1984) 58 POTATOES 58 (100%) 58 SUGAR- BEETS 1 54 (93%) 3 92 WINTER- WHEAT 3 - 89 (97%) 35 ONIONS 14 4 2 9 (25%) 6 9 BEANS 2 1 - 6 (66%) OTHER 9 3 8 7 DATA INTERPRETATION AND ANALYSIS A matrix of classification results compared to the ground truth map of the Flevo-test site from the 1984 campaign is shown in [Table 2]. It is evident from this table that the small Fig. 1 The NLR Metro II Laboratory aircraft with SLAR antenna Fig. 2 Backscatter coefficient vs. time for three major crops APR 1980 ° SUGARBEETS A POTATOES HH 30 HH 30 + S.WHEAT HH 30 x OATS HH 30 <> B.SOIL2 HH 30 Fig. 3 Backscatter coefficient vs. time

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