Datasets:
File size: 9,115 Bytes
c2b2367 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 |
# methaneset-s2-finetune
Landsat 8/9 plume scenes for supervised methane detection, each with the original target scene
(MARS-S2L) and four clean backgrounds of the same site.
## Samples
Every sample is one plume id, a FOLDER with eight leaves:
| leaf | what it is |
|---|---|
| `target` | the Landsat scene with the plume (from MARS-S2L) |
| `bg0` | the background that MARS itself selected for that target (the original `reference`) |
| `bg1`, `bg2`, `bg3` | three extra clean backgrounds, curated here |
| `ch4` | the MBMP enhancement of the target (from MARS) |
| `plume` | binary plume mask of the target |
| `dem` | Copernicus GLO-30 elevation |
## Backgrounds
`bg0` is the single background that comes with the MARS-S2L pair. `bg1` to `bg3` are three extra
backgrounds that we curate for every target, with the same MARS method: query Landsat 8 and 9
together within ±120 days (before or after), filter by cloud and constellation, discard the target's
own pass, and keep the three most similar by the MARS metric on methane-insensitive bands (B2, B3,
B4, B6). When ±120 days does not yield 40 candidates, the pool is filled with the same day-of-year
±45 days up to two years back. All four backgrounds are clean of methane.
## Columns
All columns describe the target unless prefixed `bg:`, which describe the four backgrounds
(`bg:sensor0` to `bg:sensor3`, and so on).
Some columns are constant in this dataset and are kept for compatibility: `detection:offshore` is
always False (onshore plumes only) and `quality:observability` is `clear` for all but three samples.
`detection:isplume` was always True and is not shipped as a column.
## Dataset Information
**Version**: 1.0.0
**License**: CC-BY-4.0
**Keywords**: methane, landsat, background, plume, taco
**Tasks**: detection
## Dataset Overview
**Partitions**: 20 files
**Spatial coverage**: [-180.00, -90.00, 180.00, 90.00] (WGS84)
## Dataset Structure (Root-Sibling Uniform Tree)
**Root**: FOLDER (3,603 samples)
**Hierarchy**:
- Level 1: FILE → FILE → FILE → FILE → FILE → FILE → FILE → FILE (28,824 samples)
## Metadata Fields
### LEVEL0
| Field | Type | Description |
|-------|------|-------------|
| `id` | `string` | Unique sample identifier within parent scope. Must be unique among siblings. |
| `type` | `string` | Sample type discriminator (FILE or FOLDER). |
| `detection:case_study` | `string` | Case study region (e.g. Turkmenistan, Algeria) |
| `detection:ch4_fluxrate` | `double` | Emission rate of the plume estimated by MARS [kg/h] |
| `detection:ch4_fluxrate_std` | `double` | Uncertainty of detection:ch4_fluxrate [kg/h] |
| `detection:isplume` | `bool` | detection:isplume |
| `detection:offshore` | `bool` | Whether the source is offshore. Always False in this dataset |
| `detection:sector` | `string` | Economic sector of the source (Oil and Gas, Coal) |
| `detection:wind_source` | `string` | Reanalysis used for the wind: ERA5-Land onshore, GEOS-FP offshore |
| `geoenrich:admin_countries` | `string` | Administrative country (may repeat site:country) |
| `geoenrich:admin_districts` | `string` | Administrative district |
| `geoenrich:admin_states` | `string` | Administrative state or province |
| `geoenrich:elevation` | `double` | Elevation of the emission point, Copernicus GLO-30 [m] |
| `geoenrich:population` | `double` | Mean population density around the emission point (HRSL) |
| `geoenrich:temperature` | `double` | Mean climate temperature at the site [K] |
| `majortom:code` | `string` | Internal identifier of the MARS scene |
| `meteo:wind_u` | `double` | Eastward wind component at the emission point [m/s] |
| `meteo:wind_v` | `double` | Northward wind component at the emission point [m/s] |
| `plume:geometry` | `string` | Plume polygon of the target in WKT/WKB, EPSG:4326 |
| `quality:last_update` | `string` | Last update of the MARS record |
| `quality:notified` | `bool` | Whether the emitter was notified upstream |
| `quality:observability` | `string` | MARS observability tag: clear or bad_retrieval |
| `quality:percentage_clear` | `double` | MARS cloud-clear fraction of the target scene [%] |
| `target:sensor` | `string` | Satellite of the target scene: LC08 (Landsat 8) or LC09 (Landsat 9) |
| `target:sza` | `double` | Solar zenith angle of the target [deg] |
| `target:tile` | `string` | Landsat granule id of the target scene |
| `target:vza` | `double` | Viewing zenith angle of the target [deg] |
| `site:country` | `string` | Country of the emission source |
| `site:location_name` | `string` | Site name of the emission source |
| `split` | `string` | train / validation / test split inherited from MARS-S2L, grouped by emitter |
| `stac:crs` | `string` | CRS of the chip (local UTM) |
| `stac:geotransform` | `string` | GeoTransform of the chip: 10 m pixels, 200 x 200 |
| `stac:tensor_shape` | `string` | Shape of the chip: 11 bands, 200 rows, 200 columns |
| `stac:time_start` | `string` | Acquisition time of the target scene |
| `bg:date0` | `string` | Acquisition date of bg0 |
| `bg:sensor0` | `string` | Satellite of bg0 (the MARS reference): LC08 or LC09 |
| `bg:tile0` | `string` | Landsat granule id of bg0 (the MARS reference) |
| `bg:sensor1` | `string` | Satellite of bg1: LC08 or LC09 |
| `bg:date1` | `string` | Acquisition date of bg1 |
| `bg:cloud1` | `double` | Cloud and shadow fraction of bg1 (OmniCloudMask) |
| `bg:difference1` | `double` | MARS similarity of bg1 to the target (lower is more similar) |
| `bg:methane1` | `double` | Fraction of bg1 pixels with a methane enhancement of its own |
| `bg:sensor2` | `string` | Satellite of bg2: LC08 or LC09 |
| `bg:date2` | `string` | Acquisition date of bg2 |
| `bg:cloud2` | `double` | Cloud and shadow fraction of bg2 (OmniCloudMask) |
| `bg:difference2` | `double` | MARS similarity of bg2 to the target (lower is more similar) |
| `bg:methane2` | `double` | Fraction of bg2 pixels with a methane enhancement of its own |
| `bg:sensor3` | `string` | Satellite of bg3: LC08 or LC09 |
| `bg:date3` | `string` | Acquisition date of bg3 |
| `bg:cloud3` | `double` | Cloud and shadow fraction of bg3 (OmniCloudMask) |
| `bg:difference3` | `double` | MARS similarity of bg3 to the target (lower is more similar) |
| `bg:methane3` | `double` | Fraction of bg3 pixels with a methane enhancement of its own |
| `emission:lat` | `double` | Latitude of the emission point [deg] |
| `emission:lon` | `double` | Longitude of the emission point [deg] |
| `target:cloud` | `double` | Cloud and shadow fraction of the target chip (OmniCloudMask) |
| `bg:cloud0` | `double` | Cloud and shadow fraction of bg0 (OmniCloudMask) |
| `internal:current_id` | `int64` | Current sample position at this level (0-indexed). Enables O(1) random access and relational JOINs (ZIP, FOLDER, TACOCAT). |
| `internal:parent_id` | `int64` | Foreign key referencing parent sample position in previous level (ZIP, FOLDER, TACOCAT). |
### LEVEL1
| Field | Type | Description |
|-------|------|-------------|
| `id` | `string` | Unique sample identifier within parent scope. Must be unique among siblings. |
| `type` | `string` | Sample type discriminator (FILE or FOLDER). |
| `geotiff:stats` | `list<item: list<item: float>>` | Per-band statistics (List[List[Float32]]): categorical mode returns class probabilities, continuous mode returns [min, max, mean, std, valid%, p25, p50, p75, p95] |
| `taco:header` | `binary` | Binary TACOTIFF header (35 bytes + tile counts) for fast reading without IFD parsing |
| `internal:current_id` | `int64` | Current sample position at this level (0-indexed). Enables O(1) random access and relational JOINs (ZIP, FOLDER, TACOCAT). |
| `internal:parent_id` | `int64` | Foreign key referencing parent sample position in previous level (ZIP, FOLDER, TACOCAT). |
| `internal:relative_path` | `string` | Relative path from DATA/ directory. Format: {parent_path}/{id} or {id} for level0 (ZIP, FOLDER, TACOCAT). |
## Usage
### Python
```python
# pip install tacoreader
import tacoreader
ds = tacoreader.load("/data/databases/METHANESET_TACOS/methaneset-s2-finetune/.tacocat")
print(f"ID: {ds.id}")
print(f"Version: {ds.version}")
print(f"Samples: {len(ds.data)}")
```
### R
```r
# Coming soon: R support is planned but not yet available
# install.packages("tacoreader")
library(tacoreader)
ds <- load_taco("/data/databases/METHANESET_TACOS/methaneset-s2-finetune/.tacocat")
cat(sprintf("ID: %s\n", ds$id))
cat(sprintf("Version: %s\n", ds$version))
cat(sprintf("Samples: %d\n", nrow(ds$data)))
```
### Julia
```julia
# Coming soon: Julia support is planned but not yet available
# using Pkg; Pkg.add("TacoReader")
using TacoReader
ds = load_taco("/data/databases/METHANESET_TACOS/methaneset-s2-finetune/.tacocat")
println("ID: ", ds.id)
println("Version: ", ds.version)
println("Samples: ", size(ds.data, 1))
```
## Data Providers
**Image and Signal Processing Group (ISP-UV)** — *producer*
**UNEP IMEO, MARS (background pairs)** — *licensor*
---
Generated with ❤️ using [TacoToolbox](https://github.com/tacotoolbox/tacotoolbox) v0.26.9 |