Understanding the Land Surface Phenology and Gross Primary Production of Sugarcane Plantations by Eddy Flux Measurements, MODIS Images, and Data-Driven Models

Abstract

<jats:p>Sugarcane (complex hybrids of Saccharum spp., C4 plant) croplands provide cane stalk feedstock for sugar and biofuel (ethanol) production. It is critical for us to analyze the phenology and gross primary production (GPP) of sugarcane croplands, which would help us to better understand and monitor the sugarcane growing condition and the carbon cycle. In this study, we combined the data from two sugarcane EC flux tower sites in Brazil and the USA, images from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor, and data-driven models to study the phenology and GPP of sugarcane croplands. The seasonal dynamics of climate, vegetation indices from MODIS images, and GPP from two sugarcane flux tower sites (GPPEC) reveal the temporal consistency in sugarcane phenology (crop calendar: green-up dates and harvesting dates) as estimated by the vegetation indices and GPPEC data. The Land Surface Water Index (LSWI) is shown to be useful to delineate the phenology of sugarcane croplands. The relationship between the sugarcane GPPEC and the Enhanced Vegetation Index (EVI) is stronger than the relationship between the GPPEC and the Normalized Difference Vegetation Index (NDVI). We ran the Vegetation Photosynthesis Model (VPM), which uses the light use efficiency (LUE) concept and is driven by climate data and MODIS images, to estimate the daily GPP at the two sugarcane sites (GPPVPM). The seasonal dynamics of the GPPVPM and GPPEC at the two sites agreed reasonably well with each other, which indicates that VPM is a powerful tool for estimating the GPP of sugarcane croplands in Brazil and the USA. This study clearly highlights the potential of combining eddy covariance technology, satellite-based remote sensing technology, and data-driven models for better understanding and monitoring the phenology and GPP of sugarcane croplands under different climate and management practices.</jats:p>

Prediction of Oil Palm Yield Using Machine Learning in the Perspective of Fluctuating Weather and Soil Moisture Conditions: Evaluation of a Generic Workflow

“…Recent advancements in big data and machine learning have introduced precision agriculture [9], wherein machine learning models are applied for crop yield prediction [26]. Machine learning combines the strengths of the previous methods, such as remote sensing and growth simulation models, with data-driven modeling to produce reliable forecasts [27][28][29]. Machine learning algorithms use outputs of conventional methods as features and try to approximate a function that connects predictors (features) to the target (crop yield) [30,31].…”

Large spatial variation and stagnation of cropland gross primary production increases the challenges of sustainable grain production and food security in China

“…The GPP data products (GPP VPM ) from the satellite-based Vegetation Photosynthesis Model (VPM) have been evaluated and are highly consistent with GPP data from CO 2 eddy flux tower sites (GPP EC ) for maize, soybean, winter wheat, rice, and sugarcane (Wang et al, 2010;Xin et al, 2020;Xin et al, 2017;Yan et al, 2009;Zhang et al, 2017;Zhang et al, 2016). The global GPP VPM data during 2000−2016 at moderate spatial resolution (500-m) have been released and evaluated with in-situ GPP data from the FLUXNET sites and solar-induced chlorophyll fluorescence (SIF) data (Chang et al, 2019;Cui et al, 2017;Doughty et al, 2021a;Ma et al, J o u r n a l P r e -p r o o f 2018; Wagle et al, 2016;Zhang et al, 2016).…”

Materiais alternativos para produção de painéis aglomerados

“…Bagaço de cana-de-açúcar. Fonte: https://mundoagrobrasil.com.br/obtencaomateriais-bagaco-da-cana/ Estudos e tendências atuais em Ciências Ambientais e Agrarias | 111 Esta quantidade de biomassa produzida pode ser empregada como bioenergia ou biocombustível, impulsionando o desenvolvimento sustentável (XU et al, 2020;XIN et al, 2020), além de indústrias de papel, fibra no setor têxtil e de Engenharia Civil. De forma mais especifica pode ser usado para reforçar materiais compósitos criando um tipo de material totalmente novo e contribuindo com a economia circular (MAHMUD; ANANNYA, 2021).…”