Optimising fire severity mapping using pixel-based image compositing dataset

This dataset comprises Landsat-based fire severity data collected for large forest fires (>100 ha) that occurred during the summer in the Iberian Peninsula from 2000 to 2023. It also includes historically validated fires in the Mediterranean region of Sierra de Gredos, West Central Spain, based on the Spanish General Fire Statistics (EGIF), covering the period from 1985 to 2015. Additionally, the dataset contains fire severity data for two ground-truthed fires, utilizing available Composite Burn Index (CBI) data as detailed in the paper titled "Optimising fire severity mapping using pixel-based image compositing."
The dataset includes:

CBI Data: Ground-validated severity data for specific fires.
GeoJSON files representing 30 m by 30 m pixels, containing:
Pre- and post-fire Normalized Burn Ratio (NBR)
Near-Infrared (NIR) Band
Short-Wave Infrared 2 (SWIR2) Band
Sensing Times
Relativized Burned Ratio (RBR)
Optimality Values
Fire Year
Ecoregion
Vegetation Types Affected by the Fire
Pre-fire vegetation information was derived from Land Use-Land Cover maps provided by the CORINE project.

General Information:
Creator: Universidad de Castilla La Mancha / Natalia Quintero, Olga Viedma, Sander Veraverbeke, José Manuel Moreno
Date of Collection: 2000-2023
Data Format: GeoJSON, CSV
Additional Information:
For a detailed explanation of the methodology, data collection process, and the significance of each attribute, please refer to the associated research paper titled "Optimising fire severity mapping using pixel-based image compositing." The paper provides comprehensive insights into the study's objectives and data processing techniques.

本数据集包含2000年至2023年夏季伊比利亚半岛发生的大型森林火灾（过火面积大于100公顷）的基于陆地卫星（Landsat）的火灾烈度数据；同时还涵盖基于西班牙通用火灾统计数据库（Spanish General Fire Statistics, EGIF）验证的西班牙中西部格雷多斯山脉地中海区域的历史火灾数据，时间跨度为1985年至2015年。此外，数据集还包含两处经地面验证的火灾的烈度数据，所用的复合燃烧指数（Composite Burn Index, CBI）数据详见论文《基于像素级图像合成优化火灾烈度制图》。

本数据集包含以下内容：
CBI数据：针对特定火灾的地面验证烈度数据。
表征30米×30米像素的GeoJSON文件，内含：火灾前后的归一化燃烧比（Normalized Burn Ratio, NBR）、近红外（Near-Infrared, NIR）波段、短波红外2（Short-Wave Infrared 2, SWIR2）波段、传感时间、相对燃烧比（Relativized Burned Ratio, RBR）、优化值、火灾年份、生态区域、受火灾影响的植被类型。
火灾前的植被信息源自CORINE项目提供的土地利用/土地覆盖地图。

通用信息：
数据集制作者：卡斯蒂利亚-拉曼恰大学（Universidad de Castilla La Mancha） / 娜塔莉亚·金特罗（Natalia Quintero）、奥尔加·维耶马（Olga Viedma）、桑德·维拉韦贝克（Sander Veraverbeke）、何塞·曼努埃尔·莫雷诺（José Manuel Moreno）
数据采集时间：2000年-2023年
数据格式：GeoJSON、CSV

附加说明：
如需了解方法论细节、数据采集流程及各属性项的详细意义，请参阅相关研究论文《基于像素级图像合成优化火灾烈度制图》，该论文对本研究的目标与数据处理技术进行了全面阐述。