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Empirical approach for modelling tree phenology in mixed forests using remote sensing [Elektronski vir]Noumonvi, Koffi Dodji ...: Phenological events are good indicators of the effects of climate change, since phenological phases are sensitive to changes in environmental conditions. Although several national phenological ... networks monitor the phenology of different plant species, direct observations can only be conducted on individual trees, which cannot be easily extended over large and continuous areas. Remote sensing has often been applied to model phenology for large areas, focusing mostly on pure forests in which it is relatively easier to match vegetation indices with ground observations. In mixed forests, phenology modelling from remote sensing is often limited to land surface phenology, which consists of an overall phenology of all tree species present in a pixel. The potential of remote sensing for modelling the phenology of individual tree species in mixed forests remains underexplored. In this study, we applied the seasonal midpoint (SM) method with MODIS GPP to model the start of season (SOS) and the end of season (EOS) of six different tree species in Slovenian mixed forests. First, substitute locations were identified for each combination of observation station and plant species based on similar environmental conditions (aspect, slope, and altitude) and tree species of interest, and used to retrieve the remote sensing information used in the SM method after fitting the best of a Gaussian and two double logistic functions to each year of GPP time series. Then, the best thresholds were identified for SOS and EOS, and the results were validated using cross-validation. The results show clearly that the usual threshold of 0.5 is not best in most cases, especially for estimating the EOS. Despite the difficulty in modelling the phenology of different tree species in a mixed forest using remote sensing, it was possible to estimate SOS and EOS with moderate errors as low as <8 days (Fagus sylvatica and Tilia sp.) and <10 days (Fagus sylvatica and Populus tremula), respectively.Vir: Remote sensing [Elektronski vir]. - ISSN 2072-4292 (Vol. 13, iss. 15, 2021, 15 str.)Vrsta gradiva - e-članekLeto - 2021Jezik - angleškiCOBISS.SI-ID - 73513731
Avtor | Noumonvi, Koffi Dodji ... |
Naslov | Empirical approach for modelling tree phenology in mixed forests using remote sensing [Elektronski vir] |
Datum objave | 2021-08-01 |
COBISS.SI-ID | 73513731 |
Verzija objave v repozitoriju | Založnikova različica |
Licenca objave v repozitoriju | Creative Commons Priznanje avtorstva 4.0 Mednarodna |
Embargo | Ni določeno |
Projekti, iz katerih je bila financirana objava
Naziv | Akronim | Številka projekta | Financer |
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Gozdna biologija, ekologija in tehnologija | P4-0107-2020 |
Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije |
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Improving access to FORest GENetic resources Information and services for end-USers | FORGENIUS | 862221 |
European Commission |
Datoteke, ki spadajo k objavi
Povezava |
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https://doi.org/10.3390/rs13153015 |
http://dirros.openscience.si/IzpisGradiva.php?id=14274 |
https://www.mdpi.com/2072-4292/13/15/3015 |
https://dirros.openscience.si/IzpisGradiva.php?id=14274 |
Stroški objave
Vrsta stroška | Skupni stroški | Plačila |
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APC – strošek objave članka | 2090.17 € |
1713.25 € : Gozdarski inštitut Slovenije 376.92 € : Gozdarski inštitut Slovenije |
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Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
Baze podatkov, v katerih je revija indeksirana
Ime baze podatkov | Področje | Leto |
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Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
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Noumonvi, Koffi Dodji | |
Oblišar, Gal | 55365 |
Žust, Ana | 13657 |
Vilhar, Urša, 1977- | 22592 |
Vir: Osebne bibliografije
in: SICRIS
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