- search hit 1 of 1
UAV-Based estimation of carbon exports from heterogeneous soil landscapes
- The advantages of remote sensing using Unmanned Aerial Vehicles (UAVs) are a high spatial resolution of images, temporal flexibility and narrow-band spectral data from different wavelengths domains. This enables the detection of spatio-temporal dynamics of environmental variables, like plant-related carbon dynamics in agricultural landscapes. In this paper, we quantify spatial patterns of fresh phytomass and related carbon (C) export using imagery captured by a 12-band multispectral camera mounted on the fixed wing UAV Carolo P360. The study was performed in 2014 at the experimental area CarboZALF-D in NE Germany. From radiometrically corrected and calibrated images of lucerne (Medicago sativa), the performance of four commonly used vegetation indices (VIs) was tested using band combinations of six near-infrared bands. The highest correlation between ground-based measurements of fresh phytomass of lucerne and VIs was obtained for the Enhanced Vegetation Index (EVI) using near-infrared band b(899). The resulting map was transformedThe advantages of remote sensing using Unmanned Aerial Vehicles (UAVs) are a high spatial resolution of images, temporal flexibility and narrow-band spectral data from different wavelengths domains. This enables the detection of spatio-temporal dynamics of environmental variables, like plant-related carbon dynamics in agricultural landscapes. In this paper, we quantify spatial patterns of fresh phytomass and related carbon (C) export using imagery captured by a 12-band multispectral camera mounted on the fixed wing UAV Carolo P360. The study was performed in 2014 at the experimental area CarboZALF-D in NE Germany. From radiometrically corrected and calibrated images of lucerne (Medicago sativa), the performance of four commonly used vegetation indices (VIs) was tested using band combinations of six near-infrared bands. The highest correlation between ground-based measurements of fresh phytomass of lucerne and VIs was obtained for the Enhanced Vegetation Index (EVI) using near-infrared band b(899). The resulting map was transformed into dry phytomass and finally upscaled to total C export by harvest. The observed spatial variability at field- and plot-scale could be attributed to small-scale soil heterogeneity in part.…
Author details: | Marc Wehrhan, Philipp Rauneker, Michael SommerORCiDGND |
---|---|
URN: | urn:nbn:de:kobv:517-opus4-407706 |
Title of parent work (English): | Sensors |
Subtitle (English): | a case study from the CarboZALF experimental area |
Publication series (Volume number): | Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (451) |
Publication type: | Postprint |
Language: | English |
Date of first publication: | 2018/06/28 |
Publication year: | 2016 |
Publishing institution: | Universität Potsdam |
Release date: | 2018/06/28 |
Tag: | UAV; VI; agriculture; carbon export; multispectral; soil landscape |
Number of pages: | 24 |
Source: | MDPI Sensors (2016), Vol. 16(2), Art. 255 ; DOI: 10.3390/s16020255 |
Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät |
Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geowissenschaften | |
DDC classification: | 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften |
Peer review: | Referiert |
Publishing method: | Open Access |
Grantor: | Multidisciplinary Digital Publishing Institute (MDPI) |
Institution name at the time of the publication: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Erd- und Umweltwissenschaften |
License (German): | CC-BY - Namensnennung 4.0 International |