Hugging Face's logo

Datasets:
DarthReca
/
california_burned_areas

Tasks:
Image Segmentation
Size:
n<1K
ArXiv:
Tags:
climate
DOI:
License:
Dataset card Files Community
1
california_burned_areas
File size: 2,486 Bytes 
3efa0f2
 
d367b13
 
 
 
 
7a1bd38
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
699ad5e
7a1bd38
699ad5e
7a1bd38
 
 
dda1d30
 
 
 
7a1bd38
 
dda1d30
7a1bd38
 
 
dda1d30
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
7a1bd38
 
 
699ad5e
7a1bd38
 
 
 
 
 
 
 
 
 
 
699ad5e
7a1bd38
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
---
license: openrail
task_categories:
- image-segmentation
pretty_name: California Burned Areas
size_categories:
- n<1K
---
# California Burned Areas Dataset

## Dataset Description

- **Homepage:** 
- **Repository:** 
- **Paper:** 
- **Leaderboard:** 
- **Point of Contact:** 

### Dataset Summary

This dataset contains images from Sentinel-2 satellites taken before and after a wildfire. 
The ground truth masks are provided by the California Department of Forestry and Fire Protection and they are mapped on the images.

### Supported Tasks

The dataset is designed to do binary semantic segmentation of burned vs unburned areas.

## Dataset Structure

### Dataset opening

Dataset was compressed using `h5py` and BZip2 from `hdf5plugin`. **WARNING: `hdf5plugin` is necessary to extract data**

### Data Instances

Each matrix has a shape of 5490x5490xC, where C is 12 for pre-fire and post-fire images, while it is 0 for binary masks.

### Data Fields

In each HDF5 file, you can find post-fire, pre-fire images and binary masks. The file is structured in this way:

```bash
├── foldn
│   ├── uid0
│   │   ├── pre_fire
│   │   ├── post_fire
│   │   ├── mask 
│   ├── uid1
│       ├── post_fire
│       ├── mask
│  
├── foldm
    ├── uid2
    │   ├── post_fire
    │   ├── mask 
    ├── uid3
        ├── pre_fire
        ├── post_fire
        ├── mask
...
```

where `foldn` and `foldm` are fold names and `uidn` is a unique identifier for the wilfire.

### Data Splits

There are 5 random splits whose names are: 0, 1, 2, 3 and 4.

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

Data are collected directly from Copernicus Open Access Hub through the API. The band files are aggregated into one single matrix.

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

[More Information Needed]

### Contributions

[More Information Needed]