Open AccessThe relationship between the normalized difference vegetation index, rainfall, and potential evapotranspiration in a banana plantation of Venezuela
Author(s) -
Barlin Orlando Olivares,
Franklin Paredes,
Juan Carlos Rey,
Deyanira Lobo,
Stephanie Galvis-Causil
Publication year - 2021
Publication title -
sains tanah/sains tanah : jurnal ilmu tanah dan agroklimatologi
Language(s) - English
Resource type - Journals
eISSN - 2356-1424
pISSN - 1412-3606
DOI - 10.20961/stjssa.v18i1.50379
Subject(s) - evapotranspiration , normalized difference vegetation index , environmental science , precipitation , dryness , growing season , vegetation (pathology) , hydric soil , hydrology (agriculture) , leaf area index , agronomy , geography , ecology , meteorology , soil water , biology , soil science , medicine , geotechnical engineering , pathology , immunology , engineering
The water supply for rainfed crops such as bananas in the Aragua state of Venezuela is often uncertain, particularly towards the beginning of the rainy season (April-May). Where climatic conditions are seasonal, the temporal evolution of the NDVI (Normalized Difference Vegetation Index) closely accompanies the interannual variation of vegetation growth in response to thermal and hydric factors. The aim of the study is to assess the relationship between NDVI, rainfall and potential evapotranspiration during the period of January/2016 to December/2017 in a Venezuelan banana plantation. In this study, the NDVI derived from the GIMMS MODIS Terra product, the daily accumulated precipitation data (mm) and the daily mean air temperature (°C) were used as the only way to estimate the potential evapotranspiration. The results showed that the GMOD09Q1-based NDVI reflects reasonably well the spatiotemporal variation in biomass accumulation. Besides, this provides information on the water stress conditions in banana plants at the plot level. The influence of Precipitation and potential evapotranspiration on the NDVI was more evident when a lag of 1 month was considered in terms of the Spearman r, implying that there is a delay in the banana phonological response to rainfall changes and dryness conditions. However, due to its low spatial resolution (i.e. 250 m), it is not adequate for the identication of banana wilt disease. Therefore, future studies are needed to assess other satellite-derived spectral indices for monitoring the health of banana plants over different sites in Venezuela.