| --- |
| license: cc-by-sa-4.0 |
| pretty_name: Binyang UAV Dataset (2017–2019) |
| tags: |
| - agriculture |
| - rice |
| - uav |
| - remote-sensing |
| - crop-phenotyping |
| - crop-yield |
| --- |
| |
| # Binyang UAV Dataset (2017–2019) |
|
|
| ## Dataset description |
|
|
| The Binyang UAV dataset is, to our knowledge, the first UAV dataset specifically designed for crop growth monitoring/modeling and yield mapping. The Binyang Experiments are a series of agricultural experiments conducted during 2017-2019 at a 160-ha double-cropping paddy rice cultivation zone (23°5′52″–23°7′23″ N, 108°57′7″–108°58′34″ E), located in the Wuhua Irrigation District, Binyang County, Nanning City, Guangxi Zhuang Autonomous Region, China. |
|
|
| The complete repository is approximately **294.86 GB** (274.61 GiB). |
|
|
| ## Repository structure |
|
|
| ```text |
| BinyangExperiments/ |
| ├── AUXdata/ |
| │ ├── GapFilledWeather_2017-2019.csv |
| │ ├── gridShp.zip |
| │ ├── riceMask4studyArea.zip |
| │ └── riceSegmentationDataset.zip |
| ├── BinyangExperiment_2017/ |
| │ ├── UAV_imagery_2017.zip |
| │ └── Yield_measurement_2017.zip |
| ├── BinyangExperiment_2018/ |
| │ ├── Crop_trait_measurement_2018.zip |
| │ ├── UAV_imagery_2018.zip |
| │ └── Yield_measurement_2018.zip |
| ├── BinyangExperiment_2019/ |
| │ ├── Crop_trait_measurement_2019.zip |
| │ ├── UAV_imagery_2019.zip |
| │ └── Yield_measurement_2019.zip |
| └── README.md |
| ``` |
|
|
| ## File inventory |
|
|
| | Path | Size | Description | |
| | --- | ---: | --- | |
| | `AUXdata/GapFilledWeather_2017-2019.csv` | 43.3 KB | Gap-filled daily weather data for the study period. | |
| | `AUXdata/gridShp.zip` | 73.9 KB | Spatial grid layer for the study area. | |
| | `AUXdata/riceMask4studyArea.zip` | 43.3 MB | Rice mask for the study area. | |
| | `AUXdata/riceSegmentationDataset.zip` | 700.4 MB | Dataset prepared for rice segmentation. | |
| | `BinyangExperiment_2017/UAV_imagery_2017.zip` | 32.45 GB | UAV imagery collected during the 2017 experiment. | |
| | `BinyangExperiment_2017/Yield_measurement_2017.zip` | 117.4 KB | 2017 yield measurements in ESRI Shapefile format. | |
| | `BinyangExperiment_2018/Crop_trait_measurement_2018.zip` | 25.4 KB | 2018 biomass, phenology, plant area index, and plot-boundary data. | |
| | `BinyangExperiment_2018/UAV_imagery_2018.zip` | 205.58 GB | UAV imagery collected during the 2018 experiment. | |
| | `BinyangExperiment_2018/Yield_measurement_2018.zip` | 170.8 KB | 2018 yield measurements in ESRI Shapefile format. | |
| | `BinyangExperiment_2019/Crop_trait_measurement_2019.zip` | 23.2 KB | 2019 biomass, phenology, plant area index, and plot-boundary data. | |
| | `BinyangExperiment_2019/UAV_imagery_2019.zip` | 56.09 GB | UAV imagery collected during the 2019 experiment. | |
| | `BinyangExperiment_2019/Yield_measurement_2019.zip` | 11.8 KB | 2019 yield measurements in ESRI Shapefile format. | |
|
|
|
|
| ## Auxiliary data |
|
|
| ### Weather data |
|
|
| `AUXdata/GapFilledWeather_2017-2019.csv` contains the following columns: |
|
|
| | Column | Description | |
| | --- | --- | |
| | `Year`, `Month`, `Day` | Observation date. | |
| | `Tmax`, `Tmin` | Daily maximum and minimum air temperature in °C. | |
| | `radiation MJ/m2.day` | Daily solar radiation in MJ m⁻² day⁻¹. | |
| | `wind m/s` | Wind speed in m s⁻¹. | |
| | `Rain Fall` | Daily rainfall in mm. | |
| | `MeanRH` | Mean relative humidity in %. | |
|
|
| ### Spatial and segmentation data |
|
|
| - `gridShp.zip` contains the study-area grid layer. |
| - `riceMask4studyArea.zip` contains the rice mask used for the study area. |
| - `riceSegmentationDataset.zip` contains data prepared for rice-segmentation applications. |
|
|
| ## Crop-trait measurements |
|
|
| The listed data-collection dates are aligned with the corresponding UAV observation dates. UAV campaigns and crop-trait measurements were coordinated within the same observation window; however, because manual trait measurements were labor-intensive, completing one field measurement campaign could take 2–3 days. |
|
|
| The 2018 and 2019 crop-trait archives use the following internal structure: |
|
|
| ```text |
| Crop_trait_measurement_<year>/ |
| ├── AboveGroundBiomass/ |
| │ ├── Biomass_<year>_Controlled_plots.csv |
| │ └── Biomass_<year>_Farmers_plots.csv |
| ├── Phenology/ |
| │ ├── BBCH_<year>_Controlled_plots.csv |
| │ └── BBCH_<year>_Farmers_plots.csv |
| ├── PlantAreaIndex/ |
| │ ├── PAI_<year>_Controlled_plots.csv |
| │ └── PAI_<year>_Farmers_plots.csv |
| └── plotShp/ |
| ├── controlledPlots_<year>.* |
| └── farmersPlots_<year>.* |
| ``` |
|
|
| Each measurement CSV is organized by `Year` and `Plot_ID`, followed by date-specific measurement columns: |
|
|
| - `AboveGroundBiomass` contains repeated above-ground biomass measurements in g m⁻². |
| - `Phenology` contains crop-development observations expressed as unitless BBCH stages. |
| - `PlantAreaIndex` contains plant area index (PAI) measurements in m² m⁻² (dimensionless). |
| - `plotShp` contains the corresponding controlled-plot and farmer-plot boundaries as ESRI Shapefiles. |
|
|
| The measurement units, missing-value conventions, and field definitions should be checked in the source files before analysis. |
|
|
| ## Yield measurements |
|
|
| Each `Yield_measurement_<year>.zip` archive contains yield measurements in t ha⁻¹ as an ESRI Shapefile dataset, including the `.shp`, `.shx`, `.dbf`, `.prj`, and related sidecar files. Keep all components together when opening the data in GIS software. |
|
|
| ## License |
|
|
| This dataset is released under the [Creative Commons Attribution-ShareAlike 4.0 International License](https://creativecommons.org/licenses/by-sa/4.0/) (`CC BY-SA 4.0`). |
|
|
| Users must provide appropriate attribution and distribute adapted material under the same license. |
|
|
| ## Citation |
|
|
| Preprint: |
| > Yang, Q., Han, J., Chen, Z., Yu, J., Zha, Y., & Shi, L. Integrating computer vision, process-based model and UAV data for rice yield mapping: A hybrid model-data fusion framework with a benchmark dataset. Available at SSRN 6336282. |
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