- Tytuł:
- Spatial resampling of remote sensing data – accuracy vs. redundancy
- Autorzy:
-
Bartmiński, Piotr
Siłuch, Marcin - Powiązania:
- https://bibliotekanauki.pl/articles/2088196.pdf
- Data publikacji:
- 2020
- Wydawca:
- Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
- Tematy:
-
active surface reflectance
vegetation index
data resampling - Opis:
- Active surface reflectance in a UV/VIS/NIR range deserve special attention among remote sensing techniques due to the potential of information it carries. Data are diversified in terms of spatial, spectral and temporal resolution, resulting in differences in data comparison and collection of material that may be redundant. The aim of the study was to assess whether the use of high-resolution data in analysis of an intensively used meadow is justified. 116 images from Planet sensor were analysed, registered from 2016 to 2019. NDVI, EVI and GLI were calculated for all of the terms. Resampling of data was carried out, with the use of 30 m grid, prepared on the basis of 3 m Planet pixel. Data with different resolution was compared. Seasonal course of values was similar in all cases, values of chosen deciles were nearly the same, however, differences in minimum and maximum values were noted. It was concluded that the use of high-resolution data is not advisable in the context of the spatial variability of seasonal vegetation indices in the case of a terrain with homogeneous land cover. Values of structurally simplified indices are less homogeneous than that of indicators consisting of a greater number of modifying factors.
- Źródło:
-
Polish Journal of Soil Science; 2020, 53, 2; 293-306
0079-2985 - Pojawia się w:
- Polish Journal of Soil Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł