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UID:pretalx-foss4g-it-2023-CVTH9W@talks.staging.osgeo.org
DTSTART;TZID=GMT:20230612T151500
DTEND;TZID=GMT:20230612T153000
DESCRIPTION:Precision viticulture aims to enhance quality standards of wine
  production by improving vineyard management. In this framework\, satellit
 e optical remote sensing has already proved to be effective for mapping ve
 getation behavior in space and time. These maps\, properly processed\, are
  useful to optimize agronomic practices improving wine production/quality 
 and mitigating environmental impacts. Nevertheless\, vineyards represent a
  challenge in this context because grapevine canopies are discontinuous\, 
 and the observed reflectance signal is affected by background. In fact\, s
 atellite imagery ordinarily provides spectral measures with medium-low geo
 metric resolution (≥ 100 m2). Therefore\, spectral mixture between grape
 vine canopies\, grass and soils is expected within a satellite-derived ref
 lectance pixel and not considering this problem can deeply affect deductio
 ns based on this data. In this work\, Sentinel-2 (S2) NDVI maps (10 m reso
 lution) were computed and compared to the ones obtained from DJI P4 multis
 pectral UAV over a vineyard sizing 1.5 ha and located in Piemonte region (
 NW Italy). The proportion of row and inter-row (α(x\,y) and 1-α(x\,y)) w
 ithin S2 pixel was computed and mapped classifying DJI photogrammetry poin
 t cloud. Involving α(x\,y) and S2 NDVI values\, reversing spectral unmixi
 ng system was defined solving for two average endmembers NDVI values (row 
 and inter-row) using a moving window (21x21 pixels) least squares approach
 . Results were compared at S2 pixel-level to the average ones computed fro
 m DJI\, showing a MAE of 0.15 and 0.10 of row and inter-row NDVI respectiv
 ely.
DTSTAMP:20260512T203003Z
LOCATION:Sala Biblioteca @ PoliBa
SUMMARY:Pixel Mixture Issue in Mapping Vineyard Phenology. A Possible Solut
 ion Based on Sentinel-2 Imagery and Local Least Squares - Enrico Borgogno-
 Mondino\, Francesco Parizia\, Federica Ghilardi\, Alessandro Farbo\, Filip
 po Sarvia\, Samuele De Petris
URL:https://talks.staging.osgeo.org/foss4g-it-2023/talk/CVTH9W/
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UID:pretalx-foss4g-it-2023-J9M9XE@talks.staging.osgeo.org
DTSTART;TZID=GMT:20230612T171500
DTEND;TZID=GMT:20230612T173000
DESCRIPTION:Deforestation is one of the main drivers of environmental degra
 dation around the world. Slash-and-burn is a common practice\, performed i
 n tropical forests to create new agricultural lands for local communities.
  In Madagascar\, this practice affects many natural areas including lemurs
 ’ habitats. Reforestation within natural reserves is desirable combining
  native species with fast-growing ones\, aiming at habitats restoration. I
 n this context\, the extensive detection of forest disturbances can effect
 ively support restoration actions\, providing an overall framework to addr
 ess priorities and maximizing ecological benefits. In this work and with r
 espect to a study area located around the Maromizaha New Protected Area (M
 adagascar)\, an analysis was conducted based on a time series of NDVI maps
  from Landsat missions (GSD = 30 m). The period 1991-2022 was investigated
  to detect location and moment of forest disturbances with the additional 
 aim of quantifying the level of damage and of the recovery process at ever
 y disturbed location. It is worth to remind that the Maromizaha New Protec
 ted Area presently hosts 12 species of lemurs. Detection was operated at p
 ixel level by analyzing the local temporal profile of NDVI (yearly step). 
 Time of the eventual detected disturbance was found within the profile loo
 king for the first derivative minimum. Significance of NDVI change was eva
 luated testing the Cebyšëv condition and the following parameters mapped
 : (i) level of damage\; (ii) year of disturbance\; (iii) year of the event
 ual “total” recovery\; (iv) rate of recovery. Finally\, temporal trend
 s of both forest lost and recovery were analyzed to investigate potential 
 impacts onto local lemurs population and\, more in general\, to the entire
  Reserve.
DTSTAMP:20260512T203003Z
LOCATION:Sala Videoconferenza @ PoliBa
SUMMARY:A Possible Role of NDVI Time Series from Landsat Mission to Charact
 erize Lemurs’ Habitats Degradation in Madagascar - Enrico Borgogno-Mondi
 no\, Federica Ghilardi\, Samuele De Petris\, Valeria Torti\, Cristina Giac
 oma
URL:https://talks.staging.osgeo.org/foss4g-it-2023/talk/J9M9XE/
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