Add data batch

README.md

@@ -1,47 +1,58 @@
 ---
 license: mit
 language:
-- en
+  - en
 tags:
-- agricolture
-- computer-vision
+  - agricolture
+  - computer-vision
 pretty_name: sen12vts
 ---
+
 # SEN12VTS: Sentinel 1 and 2 Vegetation Time-Series Dataset
 
 ## Overview
+
 The **SEN12VTS** (Sentinel-1 & Sentinel-2 Vegetation Time-Series) dataset has been created to support research on time-series analysis for vegetation indices, specifically targeting **NDVI (Normalized Difference Vegetation Index)** regression tasks. Recognizing the lack of datasets catering to this specific temporal and spatial need, SEN12VTS was developed to fill the gap with a high-quality, Europe-focused time-series dataset.
 
 ## Motivation
+
 This dataset is part of the **GUARDIANS project**, aiming to build models for vegetation monitoring across Europe. The focus is on:
+
 - **Highly vegetated areas**.
 - Sampling over time to enable the reconstruction of coherent time-series for selected zones.
 
 ## Dataset Description
+
 ### Spatial and Temporal Extent
+
 - **Region:** Europe (approx. bounded by EPSG:4326 `(-10.5, 34.5, 31.6, 71.5)`).
 - **Temporal Coverage:** 2022–2023.
 - **Spatial Resolution:** 10 meters.
 
 ### Data Sources
+
 1. **ESA WorldCover 2021**: Used to identify highly vegetated areas.
 2. **Sentinel-1 RTC**: Radiometrically Terrain Corrected radar imagery for ascending and descending orbits, VV and VH polarization.
 3. **Sentinel-2 L2A**: Atmospherically corrected optical imagery with 12 spectral bands and Scene Classification (SCL).
 
 ### Sampling Methodology
+
 - Bounding boxes (bboxes) of size 512x512 pixels were sampled where **90% of pixels** corresponded to vegetation categories (WorldCover values: 10, 20, 30, 40, 90, 95).
 - Non-overlapping bboxes were selected within the Europe bounds.
 - Sentinel-1 and Sentinel-2 data were downloaded for 1,166 bboxes across the two years.
 - Final cropped tiles: **256x256 pixels**.
 
 ### Dataset Statistics
+
 - **BBoxes (2022 only):** 36
 - **BBoxes (2023 only):** 454
 - **BBoxes (both years):** 676
 - **Total Dataset Size:** ~824.89 GB
 
 ## Data Structure
+
 Each bbox folder contains the following subfolders and files:
+
 ```
 bbox_number/
     ├── s1_rtc/
@@ -60,24 +71,32 @@ bbox_number/
     ├── worldcover/
         ├── worldcover.tif
 ```
+
 ### File Formats
+
 - **TIFF (Tagged Image File Format):** Used for storing all raster data with metadata and lossless compression.
 
 ## Sentinel Data Details
+
 ### Sentinel-1 RTC
+
 - Pre-processed for radiometric terrain correction and orthorectified to UTM zones.
 - Data stored in ascending and descending orbits to allow analysis of orbit-specific effects.
 - Each file has two bands, in this order: VV, VH
 
 ### Sentinel-2 L2A
+
 - 12 spectral bands selected, along with a scene classification map ([SCL](https://custom-scripts.sentinel-hub.com/custom-scripts/sentinel-2/scene-classification/)).
 - Resolutions vary from **10m to 60m** (resampled to 10m).
 
 ### [WorldCover](https://esa-worldcover.org/en)
+
 - Extracted and resampled to match bbox projections for consistency.
 
 ## Example Visualization
+
 The dataset provides:
+
 - RGB composites from Sentinel-2 (red, green, and blue bands).
 - NDVI derived from Sentinel-2 data.
 - Sentinel-1 radar images for both polarizations (ascending and descending).
@@ -85,23 +104,27 @@ The dataset provides:
 
 ![Time-Series Visualization](resources/preview.png "Example of Time-Series Visualization")
 
-
 ## Citation
+
 If you use SEN12VTS in your research, please cite this repository and the corresponding publication.
 
 ---
 
 ## Usage
+
 The dataset can be used for various applications, including but not limited to:
+
 - NDVI regression.
 - Vegetation monitoring and analysis.
 - Time-series forecasting.
 - Multi-sensor data fusion.
 
 ## Licensing
-The dataset is distributed under the MIT, and its use is subject to compliance with the Sentinel and ESA WorldCover data usage policies.
+
+The dataset is distributed under MIT license, and its use is subject to compliance with the Sentinel and ESA WorldCover data usage policies.
 
 ---
 
 ### Contact
-For questions, issues, or contributions, please open an issue on this repository or contact federico.oldani@gmail.com.
+
+For questions, issues, or contributions, please open an issue on this repository or contact federico.oldani@gmail.com.

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