Matches in SemOpenAlex for { <https://semopenalex.org/work/W4205613021> ?p ?o ?g. }
- W4205613021 endingPage "449" @default.
- W4205613021 startingPage "449" @default.
- W4205613021 abstract "Analysis of the spectral response of vegetation using optical sensors for non-destructive remote monitoring represents a key element for crop monitoring. Considering the wide presence on the market of unmanned aerial vehicle (UAVs) based commercial solutions, the need emerges for clear information on the performance of these products to guide the end-user in their choice and utilization for precision agriculture applications. This work aims to compare two UAV based commercial products, represented by DJI P4M and SENOP HSC-2 for the acquisition of multispectral and hyperspectral images, respectively, in vineyards. The accuracy of both cameras was evaluated on 6 different targets commonly found in vineyards, represented by bare soil, bare-stony soil, stony soil, soil with dry grass, partially grass covered soil and canopy. Given the importance of the radiometric calibration, four methods for multispectral images correction were evaluated, taking in account the irradiance sensor equipped on the camera (M1–M2) and the use of an empirical line model (ELM) based on reference reflectance panels (M3–M4). In addition, different DJI P4M exposure setups were evaluated. The performance of the cameras was evaluated by means of the calculation of three widely used vegetation indices (VIs), as percentage error (PE) with respect to ground truth spectroradiometer measurements. The results highlighted the importance of reference panels for the radiometric calibration of multispectral images (M1–M2 average PE = 21.8–100.0%; M3–M4 average PE = 11.9–29.5%). Generally, the hyperspectral camera provided the best accuracy with a PE ranging between 1.0% and 13.6%. Both cameras showed higher performance on the pure canopy pixel target, compared to mixed targets. However, this issue can be easily solved by applying widespread segmentation techniques for the row extraction. This work provides insights to assist end-users in the UAV spectral monitoring to obtain reliable information for the analysis of spatio-temporal variability within vineyards." @default.
- W4205613021 created "2022-01-25" @default.
- W4205613021 creator A5031715212 @default.
- W4205613021 creator A5044297669 @default.
- W4205613021 creator A5065955138 @default.
- W4205613021 creator A5077175905 @default.
- W4205613021 creator A5077411384 @default.
- W4205613021 creator A5085195159 @default.
- W4205613021 date "2022-01-18" @default.
- W4205613021 modified "2023-10-18" @default.
- W4205613021 title "Spectral Comparison of UAV-Based Hyper and Multispectral Cameras for Precision Viticulture" @default.
- W4205613021 cites W1628727861 @default.
- W4205613021 cites W1999567196 @default.
- W4205613021 cites W2000613913 @default.
- W4205613021 cites W2018454632 @default.
- W4205613021 cites W2025782027 @default.
- W4205613021 cites W2039604550 @default.
- W4205613021 cites W2102273661 @default.
- W4205613021 cites W2115917750 @default.
- W4205613021 cites W2143784308 @default.
- W4205613021 cites W2145982493 @default.
- W4205613021 cites W2151499786 @default.
- W4205613021 cites W2319859377 @default.
- W4205613021 cites W2461261958 @default.
- W4205613021 cites W2577860486 @default.
- W4205613021 cites W2597168415 @default.
- W4205613021 cites W2728251052 @default.
- W4205613021 cites W2768005555 @default.
- W4205613021 cites W2788506577 @default.
- W4205613021 cites W2793091350 @default.
- W4205613021 cites W2802875591 @default.
- W4205613021 cites W2807371277 @default.
- W4205613021 cites W2843415492 @default.
- W4205613021 cites W2884040439 @default.
- W4205613021 cites W2890513934 @default.
- W4205613021 cites W2892522623 @default.
- W4205613021 cites W2904027073 @default.
- W4205613021 cites W2907848402 @default.
- W4205613021 cites W2912130932 @default.
- W4205613021 cites W2924482122 @default.
- W4205613021 cites W2942539026 @default.
- W4205613021 cites W2946578508 @default.
- W4205613021 cites W2950381058 @default.
- W4205613021 cites W2954633720 @default.
- W4205613021 cites W2969425094 @default.
- W4205613021 cites W2974983923 @default.
- W4205613021 cites W2976762801 @default.
- W4205613021 cites W2979531829 @default.
- W4205613021 cites W2984879483 @default.
- W4205613021 cites W2991069154 @default.
- W4205613021 cites W2992427912 @default.
- W4205613021 cites W3004568742 @default.
- W4205613021 cites W3014218362 @default.
- W4205613021 cites W3039041915 @default.
- W4205613021 cites W3047955358 @default.
- W4205613021 cites W3111596210 @default.
- W4205613021 cites W3116550115 @default.
- W4205613021 cites W3127263314 @default.
- W4205613021 cites W3127387398 @default.
- W4205613021 cites W3127942413 @default.
- W4205613021 cites W3135675808 @default.
- W4205613021 cites W3154590463 @default.
- W4205613021 cites W3158385316 @default.
- W4205613021 cites W3165535194 @default.
- W4205613021 cites W3201188184 @default.
- W4205613021 doi "https://doi.org/10.3390/rs14030449" @default.
- W4205613021 hasPublicationYear "2022" @default.
- W4205613021 type Work @default.
- W4205613021 citedByCount "24" @default.
- W4205613021 countsByYear W42056130212022 @default.
- W4205613021 countsByYear W42056130212023 @default.
- W4205613021 crossrefType "journal-article" @default.
- W4205613021 hasAuthorship W4205613021A5031715212 @default.
- W4205613021 hasAuthorship W4205613021A5044297669 @default.
- W4205613021 hasAuthorship W4205613021A5065955138 @default.
- W4205613021 hasAuthorship W4205613021A5077175905 @default.
- W4205613021 hasAuthorship W4205613021A5077411384 @default.
- W4205613021 hasAuthorship W4205613021A5085195159 @default.
- W4205613021 hasBestOaLocation W42056130211 @default.
- W4205613021 hasConcept C105795698 @default.
- W4205613021 hasConcept C108597893 @default.
- W4205613021 hasConcept C118518473 @default.
- W4205613021 hasConcept C120217122 @default.
- W4205613021 hasConcept C120665830 @default.
- W4205613021 hasConcept C121332964 @default.
- W4205613021 hasConcept C127313418 @default.
- W4205613021 hasConcept C130066347 @default.
- W4205613021 hasConcept C142724271 @default.
- W4205613021 hasConcept C146849305 @default.
- W4205613021 hasConcept C154945302 @default.
- W4205613021 hasConcept C159078339 @default.
- W4205613021 hasConcept C165838908 @default.
- W4205613021 hasConcept C166957645 @default.
- W4205613021 hasConcept C173163844 @default.
- W4205613021 hasConcept C205649164 @default.
- W4205613021 hasConcept C2776133958 @default.
- W4205613021 hasConcept C2778522173 @default.
- W4205613021 hasConcept C33923547 @default.