Comparison of the results of modified NDVI indicator established on the basis of measurements by hyperspectral spectrometer and digital camera
DOI:
https://doi.org/10.12775/ecoq-2013-0014Keywords
remote sensing, vegetation index, local scale, imaging methodsAbstract
Due to the lack of readily available imaging remote sensing methods that would determine the vegetation state on a local scale, an attempt was made to calculate the modified NDVI index on the basis of digital camera photography. To verify the effectiveness of the method, the digital camera and hyperspectral spectrometer results were compared. For the analysis material leaves of six different tree species from an urban area were selected and picked in four different phases of the vegetative season. The results prove that there is no significant correlation between the two methods, but they also suggest that further research on the proposed method is necessary.
References
Anderson M., Kustas W. & Norman J. A., 2006, Multiscale remote sensing-based modeling system for estimating local and regional fluxes, AIP Conference Proceedings 852: 146–153.
Belyaev B., Belyaev Y., Katkovskii L. & Tsikman I., 2009, Estimation and analysis of the parameters of a field spectroradiometer covering the spectral range 350–2500 nm. Journal of Applied Spectroscopy 76(4): 577–584.
Carter G. & Knapp A., 2001, Leaf optical properties in higher plants: linking spectral characteristics to stress and chlorophyll concentration, American Journal of Botany 88 (4): 677–684. DOI 10.2307/2657068
Cornbleet J. & Shea M., 1978, Comparison of Product Moment and Rank Correlation Coefficients in the Assessment of Laboratory Method-Comparison Data, Clinical Chemistry 24(6): 857–861.
Compton T., 1979, Red and photographic infrared linear combinations for monitoring vegetation, Remote Sensing of Environment 8(2): 127–135.
Dworak V., Selbeck J., Dammer K., Hoffmann M., Zarezadeh A. & Bobda C., 2013, Strategy for the Development of a Smart NDVI Camera System for Outdoor Plant Detection and Agricultural Embedded Systems, Sensors 13(2): 1523–1538. DOI: 10.3390/s130201523
Fischer T., Veste M., Eisele A., Bens O., Spyra W. & Hüttl R., 2012, Small scale spatial heterogeneity of Normalized Difference Vegetation Indices (NDVIs) and hot spots of photosynthesis in biological soil crusts, Flora – Morphology, Distribution, Functional Ecology of Plants 207 (3): 159–167. DOI 10.1016/j.flora.2012.01.001
Frigaard N., Larsen K. & Cox R., 1996, Spectrochromatography of photosynthetic pigments as a fingerprinting technique for microbial phototrophs, FEMS Microbiology Ecology 20: 69–77. DOI: 10.1111/j.1574-6941.1996.tb00306.x
Garrigues S., Shabanov N., Swanson K., Morisette J., Baret F. & Myneni R., 2008, Intercomparison and sensitivity analysis of leaf area index retrievals from lai-2000, accupar, and digital hemispherical photography over croplands, Agricultural and Forest Meteorology 148: 1193–1209.
Rouse J., Haas R., Well J., & Deering D., 1973, Monitoring vegetation systems in the great plains with erts, [in:] Third Earth Resources Technology Satellite-1 Symposium, Vol. I: Technical Presentations Section A: 309–317.
Ruiz-Espinoza F., Murillo-Amador B., & Beltran-Morales A., 2010, Field evaluation of the relationship between chlorophyll content in basil leaves and a portable chlorophyll meter (spad-502) readings, Journal of Plant Nutrition 33(3): 423–438.
Sakamoto T., Shibayama M., Kimura A., Takada E., 2011, Assessment of digital camera-derived vegetation indices in quantitative monitoring of seasonal rice growth, ISPRS, Journal of Photogrammetry and Remote Sensing 66(6): 872–882. DOI 10.1016/j.isprsjprs.2011.08.005
Solovchenko A., Chivkunova O., & Maslova I., 2011, Pigment composition, optical properties, and resistance to photodamage of the microalga Haematococcus pluvialis cultivated under high light, Russian Journal of Plant Physiology 58 (1): 9–17. DOI 10.1134/S1021443710061056
Sonnentag O., Hufkens K., Teshera-Sterne C., Young A., Friedl M., Braswell B., Milliman T., O’Keefe J. & Richardson A., 2011, Digital repeat photography for phenological research in forest ecosystems, Agricultural and Forest Meteorology 152: 159–177. DOI 10.1016/j.agrformet.2011.09.009
Spearman C., 1904, The proof and measurement of association between two things, American Journal of Psychology 15: 72–101.
Spivak A., Belenky A., Fish A. & Yadid-Pecht O., 2009, Wide-dynamic-range CMOS image sensors – comparative performance analysis, IEEE Transactions on Electron Devices 56(11): 244–246. DOI 10.1109/TED.2009.2030599
Zagajewski B., Lechnio J. & Sobczak M., 2007, Wykorzystanie teledetekcji hiper spektralnej w analizie roślinności zanieczyszczonej metalami ciężkimi [Application of imaging spectroscopy in analysis of heavy metals contaminated plants], Teledetekcja Środowiska 37: 82–100.
Downloads
Published
How to Cite
Issue
Section
Stats
Number of views and downloads: 565
Number of citations: 0
