qiyang577/BinyangExperiments

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

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:

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 (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.