- Tytuł:
- Remote sensing techniques to assess chlorophyll lfuorescence in support of crop monitoring in Poland
- Autorzy:
-
Gurdak, Radosław
Bartold, Maciej - Powiązania:
- https://bibliotekanauki.pl/articles/1955011.pdf
- Data publikacji:
- 2021-12-10
- Wydawca:
- Uniwersytet Warszawski. Wydział Geografii i Studiów Regionalnych
- Tematy:
-
spectral vegetation indices
land surface temperature
JECAM
Sentinel satellites - Opis:
- The increase in demand for food and the need to predict the impact of a warming climate on vegetation makes it critical that the best tools for assessing crop production are found. Chlorophyll fluorescence (ChlF) has been proposed as a direct indicator of photosynthesis and plant condition. The aim of this paper is to study the feasibility of estimating ChlF from spectral vegetation indices derived from Sentinel-2, in order to monitor crop stress and investigate ChlF changes in response to surface temperatures and meteorological observations. The regressions between thirty three Sentinel-2-derived VIs, and ChlF measured on the ground were evaluated in order to estimate the best predictors of ChlF. The r-Pearson correlation and polynomial linear regression were used. For maize, the highest correlation between ChlF and VIs were found for NDII (r=0.65) and for SIPI (r=-0.68). The weakest relationship between VIs and ChlF were found for sugar beets. Despite this, it should be noted that the highest correlation for sugar beets appeared for EVI (r=0.45) and S2REP (r=0.43). The results of this study indicate the need for a synergy of low and high resolution satellite data that will enable a more detailed analysis for estimating fluorescence and its relation to climatic conditions, environmental aspects, and VIs derived from satellite images.
- Źródło:
-
Miscellanea Geographica. Regional Studies on Development; 2021, 25, 4; 226-237
0867-6046
2084-6118 - Pojawia się w:
- Miscellanea Geographica. Regional Studies on Development
- Dostawca treści:
- Biblioteka Nauki
Artykuł