What accuracy metrics are used for burned area mapping?
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Accuracy assessment of burned area maps is traditionally performed using pixel-based metrics to assess the accuracy and precision of burned area estimates at local and regional scales . Other metrics used include the edge error (EE), which quantifies the average distance between the boundaries of the reference and evaluated burn scars . Additionally, the normalized difference vegetation index (NDVI) and the normalized burn ratio (NBR) are commonly used to assess burnt areas through remote sensing imagery . Three-dimensional (3D) datasets, such as Light detection and ranging (LiDAR), are also used to differentiate vegetation structure in burned and unburned areas and classify burned areas . The synergy of Moderate Resolution Imaging Spectroradiometer (MODIS) and Landsat-8 Operational Land Imager (OLI) data has been evaluated for delineating burned areas, resulting in improved overall mapping accuracy . The segmentation process and random forest algorithm have been used to map burned areas with high accuracy using Landsat 8 imagery .
Answers from top 5 papers
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| Papers (5) | Insight |
|---|---|
| The paper mentions that the accuracy of the burned area mapping approach is evaluated using a confusion matrix based on randomly sampled points. | |
1 Citations | The paper does not mention the specific accuracy metrics used for burned area mapping. |
10 Citations | The paper mentions that traditional accuracy metrics for burned area mapping include pixel-based confusion matrix approaches and comparisons with independent reference burned area maps. |
27 Citations | The paper does not explicitly mention the accuracy metrics used for burned area mapping. |
Open access 01 Jul 2021 2 Citations | The paper does not mention the specific accuracy metrics used for burned area mapping. |
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