Calibrating Sentinel-2 Imagery with Multispectral UAV Derived Information to Quantify Damages in Mediterranean Rice Crops Caused by Western Swamphen (<i>Porphyrio porphyrio</i>)
Making agricultural production compatible with the conservation of biological diversity is a priority in areas in which human−wildlife conflicts arise. The threatened Western Swamphen (<i>Porphyrio porphyrio</i>) feeds on rice, inducing crop damage and leading to decreases in r...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-05-01
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| Series: | Drones |
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| Online Access: | https://www.mdpi.com/2504-446X/3/2/45 |
| _version_ | 1818179441022468096 |
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| author | Magda Pla Gerard Bota Andrea Duane Jaume Balagué Antoni Curcó Ricard Gutiérrez Lluís Brotons |
| author_facet | Magda Pla Gerard Bota Andrea Duane Jaume Balagué Antoni Curcó Ricard Gutiérrez Lluís Brotons |
| author_sort | Magda Pla |
| collection | DOAJ |
| description | Making agricultural production compatible with the conservation of biological diversity is a priority in areas in which human−wildlife conflicts arise. The threatened Western Swamphen (<i>Porphyrio porphyrio</i>) feeds on rice, inducing crop damage and leading to decreases in rice production. Due to the Swamphen protection status, economic compensation policies have been put in place to compensate farmers for these damages, thus requiring an accurate, quantitative, and cost-effective evaluation of rice crop losses over large territories. We used information captured from a UAV (Unmanned Aerial Vehicle) equipped with a multispectral Parrot SEQUOIA camera as ground-truth information to calibrate Sentinel-2 imagery to quantify damages in the region of Ebro Delta, western Mediterranean. UAV vegetation index NDVI (Normalized Difference Vegetation Index) allowed estimation of damages in rice crops at 10 cm pixel resolution by discriminating no-green vegetation pixels. Once co-registered with Sentinel grid, we predicted the UAV damage proportion at a 10 m resolution as a function of Sentinel-2 NDVI, and then we extrapolated the fitted model to the whole Sentinel-2 Ebro Delta image. Finally, the damage predicted with Sentinel-2 data was quantified at the agricultural plot level and validated with field information compiled on the ground by Rangers Service. We found that Sentinel2-NDVI data explained up to 57% of damage reported with UAV. The final validation with Rangers Service data pointed out some limitations in our procedure that leads the way to improving future development. Sentinel2 imagery calibrated with UAV information proved to be a viable and cost-efficient alternative to quantify damages in rice crops at large scales. |
| first_indexed | 2024-12-11T21:03:55Z |
| format | Article |
| id | doaj.art-1dc02f0442ba4b2f8919f78d9bf8f6be |
| institution | Directory Open Access Journal |
| issn | 2504-446X |
| language | English |
| last_indexed | 2024-12-11T21:03:55Z |
| publishDate | 2019-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Drones |
| spelling | doaj.art-1dc02f0442ba4b2f8919f78d9bf8f6be2022-12-22T00:50:55ZengMDPI AGDrones2504-446X2019-05-01324510.3390/drones3020045drones3020045Calibrating Sentinel-2 Imagery with Multispectral UAV Derived Information to Quantify Damages in Mediterranean Rice Crops Caused by Western Swamphen (<i>Porphyrio porphyrio</i>)Magda Pla0Gerard Bota1Andrea Duane2Jaume Balagué3Antoni Curcó4Ricard Gutiérrez5Lluís Brotons6InForest JRU (CTFC-CREAF), Carretera de Sant Llorenç de Morunys Km 2, 25280 Solsona, Lleida, SpainInForest JRU (CTFC-CREAF), Carretera de Sant Llorenç de Morunys Km 2, 25280 Solsona, Lleida, SpainInForest JRU (CTFC-CREAF), Carretera de Sant Llorenç de Morunys Km 2, 25280 Solsona, Lleida, SpainInForest JRU (CTFC-CREAF), Carretera de Sant Llorenç de Morunys Km 2, 25280 Solsona, Lleida, SpainEbro Delta Natural Park, Government of Catalonia, Av. Catalunya, 46, 43580 Deltebre, SpainMinistry of Territory and Sustainability, Government of Catalonia, Dr. Roux, 80, 08017 Barcelona, SpainInForest JRU (CTFC-CREAF), Carretera de Sant Llorenç de Morunys Km 2, 25280 Solsona, Lleida, SpainMaking agricultural production compatible with the conservation of biological diversity is a priority in areas in which human−wildlife conflicts arise. The threatened Western Swamphen (<i>Porphyrio porphyrio</i>) feeds on rice, inducing crop damage and leading to decreases in rice production. Due to the Swamphen protection status, economic compensation policies have been put in place to compensate farmers for these damages, thus requiring an accurate, quantitative, and cost-effective evaluation of rice crop losses over large territories. We used information captured from a UAV (Unmanned Aerial Vehicle) equipped with a multispectral Parrot SEQUOIA camera as ground-truth information to calibrate Sentinel-2 imagery to quantify damages in the region of Ebro Delta, western Mediterranean. UAV vegetation index NDVI (Normalized Difference Vegetation Index) allowed estimation of damages in rice crops at 10 cm pixel resolution by discriminating no-green vegetation pixels. Once co-registered with Sentinel grid, we predicted the UAV damage proportion at a 10 m resolution as a function of Sentinel-2 NDVI, and then we extrapolated the fitted model to the whole Sentinel-2 Ebro Delta image. Finally, the damage predicted with Sentinel-2 data was quantified at the agricultural plot level and validated with field information compiled on the ground by Rangers Service. We found that Sentinel2-NDVI data explained up to 57% of damage reported with UAV. The final validation with Rangers Service data pointed out some limitations in our procedure that leads the way to improving future development. Sentinel2 imagery calibrated with UAV information proved to be a viable and cost-efficient alternative to quantify damages in rice crops at large scales.https://www.mdpi.com/2504-446X/3/2/45SentinelUAVParrot SEQUOIAmultispectralvegetation indicesrice cropswestern swamphen |
| spellingShingle | Magda Pla Gerard Bota Andrea Duane Jaume Balagué Antoni Curcó Ricard Gutiérrez Lluís Brotons Calibrating Sentinel-2 Imagery with Multispectral UAV Derived Information to Quantify Damages in Mediterranean Rice Crops Caused by Western Swamphen (<i>Porphyrio porphyrio</i>) Drones Sentinel UAV Parrot SEQUOIA multispectral vegetation indices rice crops western swamphen |
| title | Calibrating Sentinel-2 Imagery with Multispectral UAV Derived Information to Quantify Damages in Mediterranean Rice Crops Caused by Western Swamphen (<i>Porphyrio porphyrio</i>) |
| title_full | Calibrating Sentinel-2 Imagery with Multispectral UAV Derived Information to Quantify Damages in Mediterranean Rice Crops Caused by Western Swamphen (<i>Porphyrio porphyrio</i>) |
| title_fullStr | Calibrating Sentinel-2 Imagery with Multispectral UAV Derived Information to Quantify Damages in Mediterranean Rice Crops Caused by Western Swamphen (<i>Porphyrio porphyrio</i>) |
| title_full_unstemmed | Calibrating Sentinel-2 Imagery with Multispectral UAV Derived Information to Quantify Damages in Mediterranean Rice Crops Caused by Western Swamphen (<i>Porphyrio porphyrio</i>) |
| title_short | Calibrating Sentinel-2 Imagery with Multispectral UAV Derived Information to Quantify Damages in Mediterranean Rice Crops Caused by Western Swamphen (<i>Porphyrio porphyrio</i>) |
| title_sort | calibrating sentinel 2 imagery with multispectral uav derived information to quantify damages in mediterranean rice crops caused by western swamphen i porphyrio porphyrio i |
| topic | Sentinel UAV Parrot SEQUOIA multispectral vegetation indices rice crops western swamphen |
| url | https://www.mdpi.com/2504-446X/3/2/45 |
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