202, 18–22 (2017)įattore, C., Abate, N., Faridani, F., Masini, N., Lasaponara, R.: Google earth engine as multi-sensor open-source tool for supporting the preservation of archaeological areas: the case study of flood and fire mapping in Metaponto, Italy. Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., Moore, R.: Google Earth Engine: planetary-scale geospatial analysis for everyone. 164, 152–170 (2020)Īmani, M., et al.: Google Earth Engine cloud computing platform for remote sensing big data applications: a comprehensive review. Tamiminia, H., Salehi, B., Mahdianpari, M., Quackenbush, L., Adeli, S., Brisco, B.: Google Earth Engine for geo-big data applications: a meta-analysis and systematic review. Project reports of the SERV-FORFIRE project (ERA4CS EU).
#Patina green image series
Li, X., Lanorte, A., Lasaponara, R., Lovallo, M., Song, W., Telesca, L.: Fisher-Shannon and detrended fluctuation analysis of MODIS normalized difference vegetation index (NDVI) time series of fire-affected and fire-unaffected pixels. 408719 del sistema di lotta attiva agli incendi boschivi, n. Lasaponara, R., Lanorte, A.: Patent an integrated system for fire monitoring patent prot. Pourghasemi, H.R., Gayen, A., Lasaponara, R., Tiefenbacher, J.P.: Application of learning vector quantization and different machine learning techniques to assessing forest fire influence factors and spatial modelling.
Lasaponara, R., Tucci, B., Ghermandi, L.: On the use of satellite Sentinel 2 data for automatic mapping of burnt areas and burn severity. Lasaponara, R., Tucci, B.: Identification of burned areas and severity using SAR Sentinel-1. The system is based on the acquisition of satellite Sentinel-2 leveraged for the immediate mapping of burned areas, the estimation of fire severity and the long term post fire monitoring to assess the vegetation recovery capability. This paper provides an overview of the FIRE-SAT capability to mapping wildfires in the immediate aftermath of the event, to support post-event mitigation decisions. Since the 2007, the FIRE-SAT system has been developed for the operational monitoring of fires in the Basilicata Region, as the results of a systematic collaboration between the Civil Protection of the Basilicata Region and the Argon Laboratory of the Institute of Methodologies for Environmental Analysis (IMAA) of the CNR-National Council of Research.įIRE-SAT has a modular structure defined ad hoc for the different steps of the risk management: from the dynamic forecast of the wildfire hazard, to the mapping of the areas crossed by the wildfire, from the assessment of the fire impact (on vegetation, soil and atmosphere), to the estimation of the post-fire risk, such as erosion, increased hydrogeological crisis, biodiversity loss.
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