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UID:pretalx-gw2023-CFDYTF@pretalx.earthmonitor.org
DTSTART;TZID=Europe/London:20231005T140500
DTEND;TZID=Europe/London:20231005T142500
DESCRIPTION:Extreme weather and outbakes phenomena are occurring more and m
 ore frequently and are affecting forests throughout the Alpine region. Eff
 icient and targeted forest management on a municipal\, provincial or regio
 nal scale requires high quality\, information-rich remote sensing data. Ai
 rborne hyperspectral imagery enables the acquisition of high-resolution da
 ta on entire portions of land in a short space of time\, whereby the high 
 amount of spectral information provides efficient tools for forest manager
 s\, such as mapping forest species\, identifying invasive species\, mappin
 g bark beetle damage\, calculating narrowband vegetation indices and analy
 zing health status. AVT Airborne Sensing Italia (AVT-ASI) uses the Specim 
 AisaFenix sensor for hyperspectral image acquisition. The sensor works in 
 the VNIR and SWIR spectral ranges and acquires 384 bands in pushbroom mode
 . At the beginning of October 2022\, AVT-ASI acquired hyperspectral images
  over a forest area with size 350 km² near Bruneck\, in the South Tyrol p
 rovince\, Italy\, (Figure 1 a and b) to support the local forestry inspect
 orate in the evaluation of the forest health status. Indeed the area of in
 terest has been strongly affected by the spread of the bark beetle\, proba
 bly due to the damages caused by Vaia storm in 2018\, followed by dry peri
 ods. The AisaFENIX images were preprocessed to correct atmospheric\, radio
 metric and geometric effect\, and then the most frequent tree species were
  mapped with machine learning algorithms. For the Picea abies (Norway spru
 ce) class\, further analysis were conducted using multiple narrowband vege
 tation indices (Figure 1 c to h)\, in order to assess the health status of
  the trees (Figure 2) and detect the effects of the presence of the bark b
 eetle. The results have been validated by the forestry inspectorate with g
 round surveys. The georeferenced thematic product obtained by the hyperspe
 ctral aerial images resulted to be very useful for optimal forest manageme
 nt\, in particular for the identification of possible infected trees at an
  early stage (green-attack) and the implementation of mitigation measures.
  The information was available at a degree of accuracy that is not achieva
 ble by VNIR + SWIR images acquired by satellite platforms\, due to the low
  spatial resolution. However the availability of regular and frequent sate
 llite images has the potential to allow for temporal analysis and change m
 onitoring\, starting from the detailed as-is situation obtained from the a
 erial hyperspectral images.\nThe presentation will show the scientific app
 roach of the work done and critically discuss the achieved accuracy in the
  intermediate and final products.
DTSTAMP:20260414T235802Z
LOCATION:EURAC Auditorium
SUMMARY:Use of airborne hyperspectral images in support to Alpine forest ma
 nagers - Thomas Maffei
URL:https://pretalx.earthmonitor.org/gw2023/talk/CFDYTF/
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