ibm-nasa-geospatial/hls_burn_scars
收藏Hugging Face2023-09-26 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/ibm-nasa-geospatial/hls_burn_scars
下载链接
链接失效反馈资源简介:
---
size_categories:
- n<1K
license: cc-by-4.0
language:
- en
---
# Dataset Card for HLS Burn Scar Scenes
## Dataset Description
- **Homepage: https://huggingface.co/datasets/nasa-impact/hls_burn_scars**
- **Point of Contact: Dr. Christopher Phillips (cep0013@uah.edu)**
### Dataset Summary
This dataset contains Harmonized Landsat and Sentinel-2 imagery of burn scars and the associated masks for the years 2018-2021 over the contiguous United States. There are 804 512x512 scenes. Its primary purpose is for training geospatial machine learning models.
## Dataset Structure
## TIFF Metadata
Each tiff file contains a 512x512 pixel tiff file. Scenes contain six bands, and masks have one band. For satellite scenes, each band has already been converted to reflectance.
## Band Order
For scenes:
Channel, Name, HLS S30 Band number
1, Blue, B02
2, Green, B03
3, Red, B04
4, NIR, B8A
5, SW 1, B11
6, SW 2, B12
Masks are a single band with values:
1 = Burn scar
0 = Not burned
-1 = Missing data
## Class Distribution
Burn Scar - 11%
Not burned - 88%
No Data - 1%
## Data Splits
The 804 files have been randomly split into training (2/3) and validation (1/3) directories, each containing the masks, scenes, and index files.
## Dataset Creation
After co-locating the shapefile and HLS scene, the 512x512 chip was formed by taking a window with the burn scar in the center. Burn scars near the edges of HLS tiles are offset from the center.
Images were manually filtered for cloud cover and missing data to provide as clean a scene as possible, and burn scar presence was also manually verified.
## Source Data
Imagery are from V1.4 of HLS. A full description and access to HLS may be found at https://hls.gsfc.nasa.gov/
The data were from shapefiles maintained by the Monitoring Trends in Burn Severity (MTBS) group. The original data may be found at:
https://mtbs.gov/
## Citation
If this dataset helped your research, please cite `HLS Burn Scars` in your publications. Here is an example BibTeX entry:
```
@software{HLS_Foundation_2023,
author = {Phillips, Christopher and Roy, Sujit and Ankur, Kumar and Ramachandran, Rahul},
doi = {10.57967/hf/0956},
month = aug,
title = {{HLS Foundation Burnscars Dataset}},
url = {https://huggingface.co/ibm-nasa-geospatial/hls_burn_scars},
year = {2023}
}
```
提供机构:
ibm-nasa-geospatial
原始信息汇总
数据集概述
数据集名称
HLS Burn Scar Scenes
数据集描述
该数据集包含2018-2021年美国连续地区的Harmonized Landsat和Sentinel-2烧伤疤痕影像及其相关掩码。共有804个512x512场景,主要用于训练地理空间机器学习模型。
数据集结构
- 文件类型:TIFF
- 分辨率:512x512像素
- 场景包含:六个波段(已转换为反射率)
- 掩码包含:一个波段
波段顺序
- 场景波段:
- 1: Blue (B02)
- 2: Green (B03)
- 3: Red (B04)
- 4: NIR (B8A)
- 5: SW 1 (B11)
- 6: SW 2 (B12)
- 掩码波段:
- 1: Burn scar
- 0: Not burned
- -1: Missing data
类别分布
- Burn Scar: 11%
- Not burned: 88%
- No Data: 1%
数据分割
数据集随机分为训练集(2/3)和验证集(1/3),每个部分包含掩码、场景和索引文件。
数据来源
- 影像来源:HLS V1.4
- 烧伤疤痕数据来源:Monitoring Trends in Burn Severity (MTBS) 维护的Shapefile
引用信息
@software{HLS_Foundation_2023, author = {Phillips, Christopher and Roy, Sujit and Ankur, Kumar and Ramachandran, Rahul}, doi = {10.57967/hf/0956}, month = aug, title = {{HLS Foundation Burnscars Dataset}}, url = {https://huggingface.co/ibm-nasa-geospatial/hls_burn_scars}, year = {2023} }



