A novel automated method for the improvement of photogrammetric DTM accuracy in forests

Gašparović, Mateo; Milas, Anita Šimić; Seletković, Ante; Balenović, Ivan

doi:10.31298/sl.142.11-12.1

Cited by 2 publications

(3 citation statements)

References 20 publications

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“…Ministry of Agriculture; Croatian Agency for Agriculture and Food; Agency for Payments in Agriculture, Fisheries and Rural Development [50,51] Croatian Agricultural Advisory Service [52] national training providers in the agricultural sector [37] agriculture local action groups [41] developed agencies in rural development and agriculture [41] independent consultants in agriculture [41] agriculture producers cooperatives and local partnerships [39,41] creators of agricultural programs [53] issuers of certificates in agriculture [54] Croatian Meteorological and Hydrological Service [55] meteorological stations [56] the institutional Animal Care and Ethics Committee [50] State Geodetic Administration [57] Croatian Veterinary Institute, veterinary institute [58] Croatian Agricultural Society [48, 59], Croatian Society of Plant Sciences [45] Consumer Organizations/Consumers business entities in tourism [60] private accommodation, hotels [61] organized gastronomic events [62] local population, household [39] buyers of agricultural products [49]…”

Section: Management and Support Organizationmentioning

confidence: 99%

Towards Digital Innovation: Stakeholder Interactions in Agricultural Data Ecosystem in Croatia

Hrustek¹,

Furjan²,

Varga³

et al. 2022

Interdisciplinary Description of Complex Systems

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The successful adoption of digital innovations in agricultural production systems is based on the proactive participation of all stakeholders and represents an important step in establishing resilient agri-food chains and creating sustainable value. The key tool for the creation of sustainable value is integrating the nine aspects of the business process (cooperation; inclusion; financing; diversification; communication; policies; knowledge with entrepreneurship; and production) by re-using of open governmental and public endeavours data as well as by the contractual sharing. The objectives of this research are to identify stakeholders in the Croatian agricultural system, and to explore their roles and their potential for data supply and needs for data uptake. Open access repositories were queried to identify stakeholders. Direct observation methods and semi-structured conservational qualitative interviews were used for stakeholder characterisation and data flow detection. Stakeholder importance with respect to current data supply was analysed. Underdeveloped data flow relationships in the agricultural data ecosystem in Croatia could be built in a spontaneous process following the data opening of the Research and Consumer group of stakeholders and promoting data sharing initiatives of the early adopters in the Supplier group. In that way, data opening would be the driver of the effective cooperation creation required for sustainable value creation but also the adoption of the best management practices, sustainable solutions and digital development.

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Section: Management and Support Organizationmentioning

confidence: 99%

Towards Digital Innovation: Stakeholder Interactions in Agricultural Data Ecosystem in Croatia

Hrustek¹,

Furjan²,

Varga³

et al. 2022

Interdisciplinary Description of Complex Systems

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“…These data were primarily obtained from manual stereo photogrammetric methods using aerial images with a ground sampling distance of ≤ 30 cm, supported with the vectorization of existing topographic maps and field data collection. To eliminate eventual gross errors from the terrain data, a method proposed by Gašparović et al [53] was used. Finally, DTM PHM in the raster format with a spatial resolution of 0.5 m was created from the 'error-free' digital terrain data using Global Mapper software (ver.…”

Section: Digital Terrain Model (Dtm) Datamentioning

confidence: 99%

“…19, Blue Marble Geographics, Hallowell, Maine, USA). A detailed description regarding data characteristics and processing as well as accuracy analyses for both DTM LiD and DTM PHM can be found in the studies of Balenović et al [54] and Gašparović et al [53].…”

Section: Digital Terrain Model (Dtm) Datamentioning

confidence: 99%

Impact of UAS Image Orientation on Accuracy of Forest Inventory Attributes

et al. 2020

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The quality and accuracy of Unmanned Aerial System (UAS) products greatly depend on the methods used to define image orientations before they are used to create 3D point clouds. While most studies were conducted in non- or partially-forested areas, a limited number of studies have evaluated the spatial accuracy of UAS products derived by using different image block orientation methods in forested areas. In this study, three image orientation methods were used and compared: (a) the Indirect Sensor Orientation (InSO) method with five irregularly distributed Ground Control Points (GCPs); (b) the Global Navigation Satellite System supported Sensor Orientation (GNSS-SO) method using non-Post-Processed Kinematic (PPK) single-frequency carrier-phase GNSS data (GNSS-SO1); and (c) using PPK dual-frequency carrier-phase GNSS data (GNSS-SO2). The effect of the three methods on the accuracy of plot-level estimates of Lorey’s mean height (HL) was tested over the mixed, even-aged pedunculate oak forests of Pokupsko basin located in Central Croatia, and validated using field validation across independent sample plots (HV), and leave-one-out cross-validation (LOOCV). The GNSS-SO2 method produced the HL estimates of the highest accuracy (RMSE%: HV = 5.18%, LOOCV = 4.06%), followed by the GNSS-SO1 method (RMSE%: HV = 5.34%, LOOCV = 4.37%), while the lowest accuracy was achieved by the InSO method (RMSE%: HV = 5.55%, LOOCV = 4.84%). The negligible differences in the performances of the regression models suggested that the selected image orientation methods had no considerable effect on the estimation of HL. The GCPs, as well as the high image overlaps, contributed considerably to the block stability and accuracy of image orientation in the InSO method. Additional slight improvements were achieved by replacing single-frequency GNSS measurements with dual-frequency GNSS measurements and by incorporating PPK into the GNSS-SO2 method.

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A novel automated method for the improvement of photogrammetric DTM accuracy in forests

Cited by 2 publications

References 20 publications

Towards Digital Innovation: Stakeholder Interactions in Agricultural Data Ecosystem in Croatia

Towards Digital Innovation: Stakeholder Interactions in Agricultural Data Ecosystem in Croatia

Impact of UAS Image Orientation on Accuracy of Forest Inventory Attributes

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