Systems for data processing, anaylsis and representation

Allam, Mosaad; Plunkett, Gordon

Bibliographic data

Monograph

Persistent identifier:: 1067490280

Title:: Systems for data processing, anaylsis and representation

Sub title:: ISPRS Commission II Symposium : June 6 - 10, Ottawa, Canada

Scope:: 1 Online-Ressource (XX, 530 Seiten)

Year of publication:: 1994

Place of publication:: Ottawa

Publisher of the original:: The Surveys, Mapping and Remote Sensing, Natural Resources Canada

Identifier (digital):: 1067490280

Illustration:: Illustrationen

Signature of the source:: ZS 312(30,2)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.

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

Editor:: Allam, Mosaad; Plunkett, Gordon

Corporations:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Adapter:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Founder of work:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Other corporate:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Monograph

Collection:: Earth sciences

Chapter

Title:: [Wednesday, June 8, 1994]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: [Joint ISPRS/ GIS '94 Plenary III]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: THE USE OF GPS FOR GIS GEOREFERENCING: STATUS AND APPLICATIONS M. Elizabeth Cannon

Document type:: Monograph

Structure type:: Chapter

iversity of iculture, is 1 be used to uction as a 1994). The nts which ig, a yield stantaneous for salinity termination GPS / yield ler normal | C/A code GPSCard™ to provide sts using a the code 1992). Once analysed, quent years > used as a ol for this e variety of 1s layers of surfacing the DGPS crop yields 'onclusions h salinity ons can be when it is can also be h as aerial Current linity, soil llected for oject is to p for any t season of indication this year, in treated is used to t shown in The figure geneous in ds allows blem areas ing results rner of the | by high ns a false = DE LE er adea. en SET £0) Alaa Va EIS Fig. 5: Yield Map (3rd Dimension is Yield) Hussar Site Subset Once all of the necessary data has been sorted into their respective layers, relationships and effects between each layer can be determined. This information can be used to optimize the field potential by treating the field based on the specific sub-class of different sections. A field may have several distinct classes of soil that should have different quantities and mixtures of fertilizers applied to it in order to get maximum yield. The variable rate application would also take into account other variables such as salinity, topography and history of previous crops and applications. The test field consists of gently rolling hills with a steep north facing hill in the middle. The GPS monitor station was installed near the field and the moving platform was operating within a few km from the reference station. The crop was harvested on September 20 and 21 1993. On November 9, soil samples were taken at various locations for cross-referencing the first dataset. Table 5: RMS Agreement Between Carrier Phase Smoothing and OTF Solutions at Crossover Points RMS of Differences Date East North | Height (m) (m) (m) Sept. 21 0.14 0.21 0.51 Nov. 9 0.14 0.26 0.66 The positioning accuracy requirements in this project are 0.5 m horizontally and 1.0 m vertically. Two techniques were used to reduce the DGPS data, namely a carrier-smoothing of the code technique, and a on-the-fly ambiguity resolution procedure (OTF). The achievable height accuracy was verified by comparing the estimated positions using these two techniques, i.e. the OTF solution was used as a reference trajectory. Table 5 shows 169 the results for each of the two test days and illustrates that the positioning requirements are being met using the current configuration. 4.4 Highway Inventory Over the past several years, developments into the combination of land-based precise positioning with imagery to form a 'highway inventory system’ have been ongoing. Early systems, such as the Alberta Mobile Highway Inventory System (MHIS), used dead-reckoning sensors such as gyros, accelerometers and compasses along with video imagery to continuously record visual information which was tagged with a positional locator. Information on pavement condition as well as the highway infrastructure (e.g. signs, guardrails) could then be used by engineers and planners for in- house reconnaissance which would minimize field inspections. One of the major drawbacks of the system was the error from the positioning module caused by drifts in the sensor output. To circumvent this problem, the sensors required frequent calibration which greatly affected productivity. In 1988, the feasibility of using GPS combined with an inertial navigation system (INS) to improve the positioning accuracy to the level of 0.2-0.3 m was demonstrated (Schwarz et al. ,1990). CCD camera GPS Positio Ati de Fig.6: VISAT Concept (Schwarz et al.,1993)

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