Burnt area detection using two post fire images

<p>Remote sensing from satellite is a good tool for both fire detection and burn area assessment. A multi-temporal approach relies on pre and post fire multispectral images to derive vegetation maps (e.g. Normalised Differential Vegetation Index-NDVI, dNBR . We have considered two test cases: one in UK were only post fire cloud free Sentinel 2 data are available and one in Italy were pre -fire, active- fire and post- fire Sentinel 2 A data are available. </p> <p>The Dovestones- Stalybridge wildfire occurred on 10th April 2016. Data acquired by Sentinel 2A on 20 April 2016 and 19 July 2016 were used to derive an "a posteriori" dNDVI -differential NDVI- by using two post images. A validation fieldwork was conducted on July 2016 to identify re-growing and burn patches to validate the obtained results.</p> <p>The Italian test site is located in S. Marinella area Latium Italy, images acquired by Sentinel 2A pre fire on 11 May 2017 and two post 9 August 2017 and 27 November 2017 . The results are promising and the techniques can be used to validate burn area detection retrieved by using new SAR based methods or to complement more traditional methods based on dNDVI or dNBR by using a pre- post pairs. Work is in progress to derive an optimized threshold approach to be tested on a range of test sites. .</p> <p>