Evaulate small plot-sized long period reserches by airborne and near-field remote sensing

Authors

  • Péter Burai University of Debrecen, Centre of Agricultural Scienses, Department of Water and Environmental Management, H-4032 Debrecen, Böszörményi út 138.
  • Csaba Lénárt University of Debrecen, Centre of Agricultural Scienses, Department of Water and Environmental Management, H-4032 Debrecen, Böszörményi út 138.

Keywords:

remote sensing, GIS, photogrammetry, multispectral analysis, NDVI

Abstract

The aim of the study was the evaluation of small plot-sized long-period researches by remote sensing. We examined two sites in the Hungarian Great Plain, where small parceled long-period researches are being set. By the analysis of remotely sensed images we defined the most often used remote sensed data sources, the usability of them in the case of the small parcel-sizes. During our research, we took near-field (0,5–3 m) photos in low flying height (300–500 m) by TETRACAM ADC multispectral (3 channels) camera. We analyzed the geometric accuracy of the images taken by the camera and made the geometric transformation of these images. We made high resolution images (0,4–0,6 m) from the photos, which were taken form low flying height (300–500 m). We calibrated them by using ground control points. We made overlay and biomass researches during the terrain sampling, and we compared the pointwise data of them with the images. We calculated NDVI during the multispectral analysis and we compared it with the Leaf Area Index (LAI), stem height and grain mass, which have been measured during the sampling.

Author Biography

  • Péter Burai, University of Debrecen, Centre of Agricultural Scienses, Department of Water and Environmental Management, H-4032 Debrecen, Böszörményi út 138.

    corresponding author
    pburai@gisserver1.date.hu

References

Condit, L. (1970). The spectral reflectance of American soils. In: Photogrammetric Engineering and Remote Sensing, 36. 955–966.

David P. T., Warren B. C., Robert E. K., Karin S. F., John M. B. (1999). Relationships between Leaf Area Index and Landsat TM Spectral Vegetation Indices across Three Temperate Zones Sites. In: Remote Sensing of Environment, 70(1), 52–68. https://doi.org/10.1016/S0034-4257(99)00057-7

Janseen, L. L. F., Jaarsma, M. N., van der Linden, E. T. M. (1990). Integrating Topographic data with Remote Sensing for Land-Cover Classification. In: Photogrammetric Engineering & Remote Sensing, 56(11), 1503–1506.

Jensen, J. R. (1996). Introductory digital image processing: a remote sensing perspective. Second edition. Prentice-Hall, Upper Sadle River, New Yersey

Jordan, C. F. (1969). Deviation of leaf-area index from quality of light on the forest floor. In: Ecology 50(4), 663–666. https://doi.org/10.2307/1936256

Laudien, R., Bareth, G., Doluschitz, R. (2003). Analysis of hiperspectral field data for detection of sugar beet diseases. In: Proceedings of EFITA 2003 Conference, Debrecen.

Mucsi, L. (2004). Műholdas távérzékelés. Libellus kiadó : Szeged

Pechmann I., Tóth T., Tamás J., Kardeván P., Róth L., Burai P., Katona Zs. (2003). Eltérő talajsótartalmú növényzeti foltok elkülönítése hiperspektrális technológiával (Földminősítés és földhasználati információ, Keszthely)

Running, S. W., Loveland, T. R., Pierce, L. L., Nemani, R. R., Hunt Jr., E. R., (1995). A remote sensing classification logic for global land cover analysis. In: Remote Sensing of Environment, 51(1), 39–48. https://doi.org/10.1016/0034-4257(94)00063-S

Sabins, F. F. (1996). Remote Sensing. Principles and Interpretation. W. H. Freeman and Co. : Los Angeles

Samadzadegan, F., Hahn, M., Sarpulaki, M., Mostofi, N. (2004). Geometric and radiometric evaluation of the potential of a high resolution CMOS – camera. In: Proceedings of ISPRS XXth Congress, Istanbul

Seelan, S. K., Laguette, S., Casady, G. M., Seielstad, G. A. (2003). Remote sensing application for percision agriculture: A learning community approach. In: Remote Sensing of Environment, 88(1–2), 157–169. https://doi.org/10.1016/j.rse.2003.04.007

Tamás, J. (2005). Széles spektrumú kézi kamera alkalmazhatósága a terepi gyomfelvé- telezésekre. In: Növényvédelem 41(2), 53–59.

Turner, D. P., Cohen, W. B., Kennedy, R. E., Fassnacht, K. S., Briggs, J. M., (1999). Relationships between Leaf Area Index and Landsat TM Spectral Vegetation Indices across three temperate zone sites. In: Remote Sensing of Environment, 70(1), 52–68. https://doi.org/10.1016/S0034-4257(99)00057-7

Zilinyi V. (1995). Természetes felszínek spektrális reflexiós tulajdonságai, és hasznosításuk az optikai távérzékelés interpretációjában. Egyetemi Doktori Értekezés, DATE, MTK, Debrecen

Published

2006-02-15

How to Cite

Burai, P., & Lénárt, C. (2006). Evaulate small plot-sized long period reserches by airborne and near-field remote sensing. Acta Agraria Kaposváriensis, 10(1), 1-11. https://journal.uni-mate.hu/index.php/aak/article/view/1752

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