Assessing the capability of MODIS to monitor mixed pastures with high-intensity grazing at a fine-scale
| Autor: | Silva, Yane de Freitas da, 1990, Reis, Aliny Aparecida dos, Werner, João Paulo Sampaio, 1993, Valadares, Rafael Vasconcelos, Lamparelli, Rubens Augusto Camargo, 1955, Magalhães, Paulo Sergio Graziano, 1957, Figueiredo, Gleyce Kelly Dantas Araújo, 1984 |
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| Přispěvatelé: | UNIVERSIDADE ESTADUAL DE CAMPINAS |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Repositório Institucional da Unicamp Universidade Estadual de Campinas (UNICAMP) instacron:UNICAMP Repositório da Produção Científica e Intelectual da Unicamp |
| Popis: | MODIS time series carries valuable long-term data essential to support several studies such as biogeochemical modelling. However, there is a lack of validation studies applying MODIS data at a fine-scale to monitor pasture management practices. In this study, we assessed the potential of MODIS sensor in monitoring at a fine-scale four intensively managed mixed-pastures fields located in São Paulo State, Brazil. The MODIS spectral response was compared with Sentinel-2, and the ability of the two sensors in predicting aboveground biomass (AGB) and canopy height (CH) was assessed using the Random Forest algorithm. EVI images from MODIS and Sentinel-2 were correlated with field measurements of AGB and CH. The prediction performance of AGB (R2: Sentinel-2?=?38%; MODIS = 42%) and CH (R2: Sentinel-2?=?69%; MODIS = 85%) models was superior using EVI data from MODIS than Sentinel-2, highlighting MODIS ability to monitor small and intensively managed pasture fields CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP Fechado |
| Databáze: | OpenAIRE |
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