A Comparison of Several UAV-Based Multispectral Imageries in Monitoring Rice Paddy (A Case Study in Paddy Fields in Tottori Prefecture, Japan)
Bibliographic Data
| ID | 22035070 |
|---|---|
| Authors | Muhammad Dimyati (0000-0003-4703-4227, University of Indonesia), Supriatna (0000-0003-2878-4532, University of Indonesia, corresponding author), Ryota Nagasawa (University of Indonesia), Fajar Dwi Pamungkas (University of Indonesia), Rizki Pramayuda (University of Indonesia) |
| Year | 2023 |
| Volume | 12 |
| Issue | 2 |
| Pages | 36 |
| Publication date | 2023-01-21 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi12020036 |
| OpenAlex | W4317738284 |
| Language | EN |
| Citations received | 1 |
| References cited | 21 |
In recent years, unmanned aerial vehicles (UAVs) have been actively applied in the agricultural sector. Several UAVs equipped with multispectral cameras have become available on the consumer market. Multispectral data are informative and practical for evaluating the greenness and growth status of vegetation as well as agricultural crops. The precise monitoring of rice paddy, especially in the Asian region, is crucial for optimizing profitability, sustainability, and protection of agro-ecological services. This paper reports and discusses our findings from experiments conducted to test four different commercially available multispectral cameras (Micesense RedEdge-M, Sentera Single NDVI, Mapir Survey3, and Bizworks Yubaflex), which can be mounted on a UAV in monitoring rice paddy. The survey has conducted in the typical paddy field area located in the alluvial plain in Tottori Prefecture, Japan. Six different vegetation indices (NDVI, BNDVI, GNDVI, VARI, NDRE and MCARI) captured by UAVs were also compared and evaluated monitoring contribution at three different rice cropping phases. The results showed that the spatial distribution of NDVI collected by each camera is almost similar in paddy fields, but the absolute values of NDVI differed significantly from each other. Among them, the Sentera camera showed the most reasonable NDVI values of each growing phase, indicating 0.49 in the early reproductive phase, 0.62 in the late reproductive stage, and 0.38 in the ripening phase. On the other hand, compared to the most commonly used NDVI, VARI which can be calculated from only visible RGB bands, can be used as an easy and effective index for rice paddy monitoring
Agriculture · Agronomy · Biology · Cropping · Geography · Leaf area index · Multispectral image · Multispectral pattern recognition · Normalized Difference Vegetation Index · Paddy field · Remote sensing · Vegetation Index · Environmental Science · Land Use and Ecosystem Services · Remote Sensing and Land Use · Remote Sensing in Agriculture
| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |