How can UAV contribute in satellite-based Phragmites australis aboveground biomass estimating?
Phragmites australis (common reed) is a widely distributed emergent aquatic vegetation species in many wetland ecosystems, and its aboveground biomass (AGB) is an important parameter for evaluating the carbon–nitrogen cycle in wetlands. Satellite remote sensing (RS) is a powerful tool used to monito...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-11-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843222002126 |
| _version_ | 1798045331790757888 |
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| author | Lirong Lu Juhua Luo Yihao Xin Hongtao Duan Zhe Sun Yinguo Qiu Qitao Xiao |
| author_facet | Lirong Lu Juhua Luo Yihao Xin Hongtao Duan Zhe Sun Yinguo Qiu Qitao Xiao |
| author_sort | Lirong Lu |
| collection | DOAJ |
| description | Phragmites australis (common reed) is a widely distributed emergent aquatic vegetation species in many wetland ecosystems, and its aboveground biomass (AGB) is an important parameter for evaluating the carbon–nitrogen cycle in wetlands. Satellite remote sensing (RS) is a powerful tool used to monitor the spatio-temporal distribution of AGB within reedbeds over a large area. However, when building AGB models based on satellite data, especially medium resolution satellites, it is difficult to obtain ample and properly measured AGB samples which can be matched with image pixels due to the inaccessibility of the wetlands. In this study, we proposed a solution based on the unmanned aerial vehicle (UAV) and Sentinel-2 data, which allowed us to estimate and successfully map the AGB of Phragmites australis in the Nan Da Gang Wetland Reserve (NDG) in China’s Hebei Province close to the Bohai sea. First, in an experimental area (EA) of NDG, an AGB model (R2 = 0.74, RMSE = 174 g/m2) was built based on NDVI(534, 734) and canopy height derived from UAV data, and an AGB map was obtained of the EA. Second, the AGB map was resampled to the pixel of the Sentinel-2 image, and an AGB sample set was matched with the acquired spatial resolution of the Sentinel-2 image. Finally, based on the sample set, an AGB model (R2 = 0.59, RMSE = 194 g/m2) was built using RVI derived from the Sentinel-2 image, which allowed us to map the Phragmites australis AGB in the NDG wetland reedbed. The study illustrated well that a UAV can be proficient in obtaining enough AGB samples matched with satellite pixels to build satellite-based AGB estimation models. |
| first_indexed | 2024-04-11T23:18:56Z |
| format | Article |
| id | doaj.art-69b83a2fdde64720869060d66469d1b5 |
| institution | Directory Open Access Journal |
| issn | 1569-8432 |
| language | English |
| last_indexed | 2024-04-11T23:18:56Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Applied Earth Observations and Geoinformation |
| spelling | doaj.art-69b83a2fdde64720869060d66469d1b52022-12-22T03:57:32ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322022-11-01114103024How can UAV contribute in satellite-based Phragmites australis aboveground biomass estimating?Lirong Lu0Juhua Luo1Yihao Xin2Hongtao Duan3Zhe Sun4Yinguo Qiu5Qitao Xiao6Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaKey Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; Corresponding author.Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaKey Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, ChinaKey Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaKey Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, ChinaKey Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, ChinaPhragmites australis (common reed) is a widely distributed emergent aquatic vegetation species in many wetland ecosystems, and its aboveground biomass (AGB) is an important parameter for evaluating the carbon–nitrogen cycle in wetlands. Satellite remote sensing (RS) is a powerful tool used to monitor the spatio-temporal distribution of AGB within reedbeds over a large area. However, when building AGB models based on satellite data, especially medium resolution satellites, it is difficult to obtain ample and properly measured AGB samples which can be matched with image pixels due to the inaccessibility of the wetlands. In this study, we proposed a solution based on the unmanned aerial vehicle (UAV) and Sentinel-2 data, which allowed us to estimate and successfully map the AGB of Phragmites australis in the Nan Da Gang Wetland Reserve (NDG) in China’s Hebei Province close to the Bohai sea. First, in an experimental area (EA) of NDG, an AGB model (R2 = 0.74, RMSE = 174 g/m2) was built based on NDVI(534, 734) and canopy height derived from UAV data, and an AGB map was obtained of the EA. Second, the AGB map was resampled to the pixel of the Sentinel-2 image, and an AGB sample set was matched with the acquired spatial resolution of the Sentinel-2 image. Finally, based on the sample set, an AGB model (R2 = 0.59, RMSE = 194 g/m2) was built using RVI derived from the Sentinel-2 image, which allowed us to map the Phragmites australis AGB in the NDG wetland reedbed. The study illustrated well that a UAV can be proficient in obtaining enough AGB samples matched with satellite pixels to build satellite-based AGB estimation models.http://www.sciencedirect.com/science/article/pii/S1569843222002126Aboveground biomassPhragmites australisUAVSentinel-2WetlandWetland vegetation |
| spellingShingle | Lirong Lu Juhua Luo Yihao Xin Hongtao Duan Zhe Sun Yinguo Qiu Qitao Xiao How can UAV contribute in satellite-based Phragmites australis aboveground biomass estimating? International Journal of Applied Earth Observations and Geoinformation Aboveground biomass Phragmites australis UAV Sentinel-2 Wetland Wetland vegetation |
| title | How can UAV contribute in satellite-based Phragmites australis aboveground biomass estimating? |
| title_full | How can UAV contribute in satellite-based Phragmites australis aboveground biomass estimating? |
| title_fullStr | How can UAV contribute in satellite-based Phragmites australis aboveground biomass estimating? |
| title_full_unstemmed | How can UAV contribute in satellite-based Phragmites australis aboveground biomass estimating? |
| title_short | How can UAV contribute in satellite-based Phragmites australis aboveground biomass estimating? |
| title_sort | how can uav contribute in satellite based phragmites australis aboveground biomass estimating |
| topic | Aboveground biomass Phragmites australis UAV Sentinel-2 Wetland Wetland vegetation |
| url | http://www.sciencedirect.com/science/article/pii/S1569843222002126 |
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