Add candidate dataset in thesis

Author: paren8esis

content/education/theses/2023-12-12-floga-extend/index.md

@@ -9,7 +9,7 @@ tags: ['wildfires', 'change detection', 'remote sensing']
 
 Orion Lab has assembled a novel benchmark dataset, namely FLOGA [1], for the mapping of burnt areas in the Greek region. The dataset comprises bitemporal image acquisitions from Sentinel-2 and MODIS satellites and the ground truth labels are photointerpretation mappings produced by Hellenic Fire Brigade experts. A total of 326 wildfire events all over Greece for the period 2017-2021 are covered. We have also designed a state-of-the-art Deep Learning architecture, BAM-CD, for automatic burn scar mapping using FLOGA (trained only on Sentinel-2 data).
 
-The aim of this thesis is to extend the FLOGA dataset with several other wildfire events worldwide. Several other datasets for this task have been proposed in the literature covering a variety of countries and can serve as possible sources. For example, BARD [2], CaBuAr [3], NIFC GeoMAC Historic Perimeters [4] [5], Satellite Burnt Area Dataset [6], MultiEarth 2023 [7], HLS Burn Scar Scenes [8], etc.
+The aim of this thesis is to extend the FLOGA dataset with several other wildfire events worldwide. Several other datasets for this task have been proposed in the literature covering a variety of countries and can serve as possible sources. For example, BARD [2], CaBuAr [3], NIFC GeoMAC Historic Perimeters [4] [5], Satellite Burnt Area Dataset [6], MultiEarth 2023 [7], HLS Burn Scar Scenes [8], MTBS [9], etc.
 
 Subsequently, the BAM-CD model will be finetuned on the new data and its performance will be assessed.
 
@@ -25,3 +25,4 @@ Subsequently, the BAM-CD model will be finetuned on the new data and its perform
 [6] https://dl.acm.org/doi/abs/10.1145/3511808.3557528  <br>
 [7] https://arxiv.org/abs/2306.04738 <br>
 [8] https://huggingface.co/datasets/ibm-nasa-geospatial/hls_burn_scars <br>
+[9] https://www.mtbs.gov/