Crop height determination with UAS point clouds

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 40, Issue 1, 2014, Pages 135-140

  Grenzdorffer G J ^a  

^a UNIVERSITY OF ROSTOCK   (Germany)

Author keywords

3D Point Cloud; Crop Surface Models; UAS Photogrammetry

Indexed keywords

CULTIVATION; PHOTOGRAMMETRY; UNMANNED AERIAL VEHICLES (UAV); VEGETATION;

3D POINT CLOUD; AGRICULTURAL CROPS; BIOMASS QUALITY; CROP HEIGHT; CROP PRODUCTION; CROP SURFACE MODEL; HEIGHT DETERMINATION; POINT-CLOUDS; SURFACE MODELING; UAS-PHOTOGRAMMETRY;

CROPS;

EID: 84924241007     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5194/isprsarchives-XL-1-135-2014     Document Type: Conference Paper

References (12)

1. Bending, J., Bolten, A. and Bareth, G. (2013): UAV-based Imaging for Multi-Temporal, very high Resolution Crop Surface Models to monitor crop growth variability.- PFG 2013/6, pp.551-562.
2. Bill, R. and Grenzdörffer, G. [Ed.] (2013): UAV-g2013 conference (Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., Vol. XL-1/W2) 4-6 September 2013, Rostock, Germany
3. Busemeyer, L., Mentrup, D., Möller, K., Wunder, E., Alheit, K., Hahn, V., Maurer, H.-P., Reif, J.C., Würschum, T., Müller, J., Rahe, J. and Ruckelshausen, A. (2013): BreedVision A Multi-Sensor Platform for Non-Destructive Field-Based Phenotyping in Plant Breeding.- Sensors 2013, 13, pp. 2830-2847
4. Ehlert, D. Adamek, R. Und Horn, H.-J. (2009): Laser rangefinder-based measuring of crop biomass under field conditions.- Precision Agriculture 10: pp.395-408
5. Girma, K. Martin, K. L. Anderson, R. H. Arnall, D. B. Brixey, K. D. Casillas, M. A. Chung, B. Dobey, B. C. Kamenidou, S. K. Kariuki, S. K. Katsalirou, E. E. Morris, J. C. Moss, J. Q. Rohla, C. T. Sudbury, B. J. Tubana, B. S. And Raun, W. R. (2006): Mid-Season Prediction of Wheat-Grain Yield Potential Using Plant, Soil, and Sensor Measurements.- Journal of Plant Nutrition 29: pp. 873-897
6. Grenzdörffer, G. and Bogdanov, S. (2013): UAS-basierte automatisierte Vogelzählung am Beispiel einer Sturmmöwenkolonie der Vogelschutzinsel Langenwerder, DGPF-Jahrestagung 27.2-01.03.2013, Freiburg, pp. 141-157.
7. Haala, N. (2013): The Landscape of dense Image Matching Algorithms.- In: Fritsch, D. [Ed.]: Photogrammetric Week 2013.- pp. 271-284.
8. Stark, R., Gitelson, A., Grits, U., Rundquist, D. and Kaufman, Y. 2000. New technique for remote estimation of vegetation fraction: principles, algorithms and validation, Aspects of Applied Biology, 60,: pp. 241-246.
9. Wenzel, K., Rothermel, M. ad Haala, N. (2013): SURE - The ifp Software for Dense Image Matching.- In: Fritsch, D. [Ed.]: Photogrammetric Week 2013.- pp. 59-70. Wichmann Verlag.
10. Yin, X., McClure, M.A. Jaja, N. Tyler, D.D. and Hayes R.M. (2011): In-Season Prediction of Corn Yield Using Plant Height under Major Production Systems.- Agronomy Journal 103: pp. 923-929.
11. Zacharias, P. (2013): Untersuchung zur direkten Bestandeshöhenermittlung verschiedener landwirtschaftlicher Kulturen aus UAS-Punktwolken.- Bachelor thesis, 39 p.
12. Zhang, L., Grift, T. E. (2012): A LIDAR-Based Crop Height Measurement System for Miscanthus giganteus, Computers and Electronics in Agriculture 85.