HDBSCAN Clusters Rice Crop Stress - Senegal River Delta, 2019-2020
Creators
Description
Demonstration Case Name |
Multi-hazards in Senegal (transferability case) |
Dataset Name/Title |
HDBSCAN Clusters Rice Crop Stress - Senegal River Delta, 2019-2020 |
Dataset Description |
The dataset contains HDBSCAN (Hierarchical Density-Based Spatial Clustering of Applications with Noise) clusters based on a synthetic stress indicator obtained through a PCA (Principal Component Analysis) on NDVI (Normalized Difference Vegetation Index) and NDMI (Normalized Difference Moisture Index) Sentinel-2 based indices. The dataset contains identified vegetation stress clusters on the following dates: wet year: '2019-06-02', '2019-06-07', '2019-06-17', '2019-06-22', '2019-06-27', dry year: '2020-05-27', '2020-06-11', '2020-06-21', '2020-06-26', '2020-07-01' , covering the end portion of the rice cropping season in the area. All observations are located in a plain area that relies on the SenegalRiver for cropland irrigation. For each row, the dataset contains the following columns:
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Key Methodologies |
Sentinel-2 Level-2 NDVI, NDMI and BSI were computed, averaged per field and exported for 2019-2020. The rice growing period is April to July; the end of season is May-June. Bare fields were filtered out by BSI >= 0.08. For the remaining fields, NDVI and NDMI were combined in a principal component (PC) that underwent HDBSCAN clustering. Clusters with average NDVI < 0.45 and NDMI < 0.15 were considered stressed crops. |
Temporal Domain |
5 days in 2019, 5 days in 2020 |
Spatial Domain |
Senegal River Delta, West Africa, EPSG:32628 (UTM Zone 28N) |
Key Variables/Indicators |
HDBSCAN clusters |
Data Format |
ESRI Shapefile |
Source Data |
Sentinel-2 Level-2 |
Accessibility |
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Stakeholder Relevance |
The dataset provides valuable post-disaster information on crop vegetation dynamics during hot and dry events. |
Limitations/Assumptions |
The HDBSCAN algorithm was not optimized for the dataset; a fixed version of hyperparameters was directly taken from https://doi.org/10.5281/zenodo.15301314 |
Additional Outputs/information |
The dataset access is currently restricted due to pending related publication. |
Contact Information |
Egor Prikaziuk (UT-ITC, Faculty of Geo-Information Science and Earth Observation, ITC, University of Twente, the Netherlands) |
Files
Additional details
Funding
- European Space Research Institute
- EO4Multihazards (Earth Observation for High-Impact Multi-Hazards Science), funded by the European Space Agency and launched as part of the joint ESA-European Commission Earth System Science Initiative