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Integrated Analysis of Solar-Induced Chlorophyll Fluorescence, Normalized Difference Vegetation Index, and Column-Average CO 2 Concentration in South-Central Brazilian Sugarcane Regions.

Authors :
de Meneses, Kamila Cunha
de Souza Rolim, Glauco
de Araújo Santos, Gustavo André
La Scala Junior, Newton
Source :
Agronomy; Oct2024, Vol. 14 Issue 10, p2345, 18p
Publication Year :
2024

Abstract

Remote sensing has proven to be a vital tool for monitoring and forecasting the quality and yield of crops. The utilization of innovative technologies such as Solar-Induced Fluorescence (SIF) and satellite measurements of column-averaged CO<subscript>2</subscript> (xCO<subscript>2</subscript>) can enhance these estimations. SIF is a signal emitted by crops during photosynthesis, thus indicating photosynthetic activities. The concentration of atmospheric CO<subscript>2</subscript> is a critical factor in determining the efficiency of photosynthesis. The aim of this study was to investigate the correlation between satellite-derived Solar-Induced Chlorophyll Fluorescence (SIF), column-averaged CO<subscript>2</subscript> (xCO<subscript>2</subscript>), and Normalized Difference Vegetation Index (NDVI) and their association with sugarcane yield and sugar content in the field. This study was carried out in south-central Brazil. We used four localities to represent the region: Pradópolis, Araraquara, Iracemápolis, and Quirinópolis. Data were collected from orbital systems during the period spanning from 2015 to 2016. Concurrently, monthly data regarding tons of sugarcane per hectare (TCH) and total recoverable sugars (TRS) were gathered from 24 harvest locations within the studied plots. It was observed that TRS decreased when SIF values ranged between 0.4 W m<superscript>−2</superscript> sr<superscript>−1</superscript> μm<superscript>−1</superscript> and 0.8 W m<superscript>−2</superscript> sr<superscript>−1</superscript> μm<superscript>−1</superscript>, particularly in conjunction with NDVI values below 0.5. TRS values peaked at 15 kg t<superscript>−1</superscript> with low NDVI and xCO<subscript>2</subscript> values, alongside SIF values lower than 0.4 W m<superscript>−2</superscript> sr<superscript>−1</superscript> μm<superscript>−1</superscript> and greater than 1 W m<superscript>−2</superscript> sr<superscript>−1</superscript> μm<superscript>−1</superscript>. These findings underscore the potential of integrating SIF, xCO<subscript>2</subscript>, and NDVI measurements in the monitoring and forecasting of yield and sugar content in sugarcane crops. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20734395
Volume :
14
Issue :
10
Database :
Complementary Index
Journal :
Agronomy
Publication Type :
Academic Journal
Accession number :
180530085
Full Text :
https://doi.org/10.3390/agronomy14102345