Dynamics of the Indices NDVI and GNDVI in a Rice Growing in Its Reproduction Phase from Multi-spectral Aerial Images Taken by Drones
Dynamics of the Indices NDVI and GNDVI in a Rice Growing in Its Reproduction Phase from Multi-spectral Aerial Images Taken by Drones
Capítulo - Parte de Libro
2018
Ed. Springer Publishing Company, Inc
In this study, the dynamics of two vegetation indices, the normalized differential vegetative index (NDVI) and the variant of the NDVI that uses the green band (GNDVI) in a rice growing of the variety fedearroz 2000 in reproduction phase, are analyzed. These indices were calculated through the geoprocessing of multi-spectral aerial images taken by a drone or UAVs, with the aim of identifying which zones of the crops are under stress, healthy or dense. The rice growing had an area of approximately 4,1 hectares and its location corresponds to the farm El Faro in the footpath Campo Hermoso within the municipal district of San José de Cúcuta – Norte de Santander. For this research, two flights were carried out, one at the beginning of the reproduction phase dated September 4th 2016 and the second one at the end corresponding to October 8th 2016; these flights were performed with a Iris+ 3DR drone, a canon S100 camera was implemented as a catch images sensor converted into NDVI by using a NGB filter (Near infrared, Green and Blue). As a result, 4 mosaics are shown, one NDVI and one GNDVI on September 4th 2016 and one NDVI and one GNDVI on October 8th 2016, each one of them were classified according to the characteristics observed in field in zones under stress or with low development, healthy and dense zones. Finally, a NDVI dynamic analysis was completed. En este estudio se analiza la dinámica de dos índices de vegetación, el índice vegetativo diferencial normalizado (NDVI) y la variante del NDVI que utiliza la banda verde (GNDVI) en un cultivo de arroz de la variedad fedearroz 2000 en fase de reproducción. Estos índices se calcularon mediante el geoprocesamiento de imágenes aéreas multiespectrales tomadas por un dron o UAVs, con el objetivo de identificar qué zonas del cultivo están bajo estrés, sanas o densas. El cultivo de arroz tenía un área aproximada de 4,1 hectáreas y su ubicación corresponde a la finca El Faro en la vereda Campo Hermoso dentro del municipio de San José de Cúcuta - Norte de Santander. Para esta investigación se realizaron dos vuelos, uno al inicio de la fase de reproducción fechado el 4 de septiembre de 2016 y el segundo al final correspondiente al 8 de octubre de 2016; estos vuelos se realizaron con un dron Iris+ 3DR, se implementó una cámara canon S100 como sensor de captura de imágenes convertidas en NDVI mediante el uso de un filtro NGB (Near infrared, Green and Blue). Como resultado se muestran 4 mosaicos, uno de NDVI y otro de GNDVI el 4 de septiembre de 2016 y otro de NDVI y otro de GNDVI el 8 de octubre de 2016, cada uno de ellos fue clasificado según las características observadas en campo en zonas bajo estrés o con bajo desarrollo, zonas sanas y densas. Finalmente, se completó un análisis dinámico del NDVI.
9783030044473
Advances in Information and Communication Technologies for Adapting Agriculture to Climate Change II
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Dynamics of the Indices NDVI and GNDVI in a Rice Growing in Its Reproduction Phase from Multi-spectral Aerial Images Taken by Drones.pdf
Título: Dynamics of the Indices NDVI and GNDVI in a Rice Growing in Its Reproduction Phase from Multi-spectral Aerial Images Taken by Drones.pdf
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Título: Dynamics of the Indices NDVI and GNDVI in a Rice Growing in Its Reproduction Phase from Multi-spectral Aerial Images Taken by Drones.pdf
Tamaño: 268.3Kb
PDFLEER EN FLIP