Multi-temporal NDVI analysis using UAV images of tree crowns in a northern Mexican pine-oak forest  

作　　者：JoséLuis Gallardo-Salazar Marcela Rosas-Chavoya Marín Pompa-García Pablito Marcelo López-Serrano Emily García-Montiel Arnulfo Meléndez-Soto Sergio Iván Jiménez-Jiménez 

机构地区：[1]Instituto de Investigaciones Agropecuarias y Forestales,Universidad Michoacana de San Nicolás de Hidalgo(UMSNH),58330 Morelia,Michoacán,Mexico [2]Programa Institucional de Doctorado en Ciencias Agropecuarias y Forestales,Universidad Juárez del Estado de Durango,Río Papaloapan y Blvd.Durango,Valle del Sur s/n,34120 Durango,Durango,México [3]Facultad de Ciencias Forestales,Universidad Juárez del Estado de Durango,Río Papaloapan y Blvd.Durango,Valle del Sur s/n,34120 Durango,Durango,México [4]Instituto de Silvicultura e Industria de la Madera,Universidad Juárez del Estado de Durango,Boulevard del Guadiana 501,Ciudad Universitaria,Torre de Investigación,34120 Durango,México [5]INIFAP-CENID RASPA Centro Nacional de Investigación Disciplinaria en Relación Agua-Suelo-Planta-Atmósfera,Margen derecha canal Sacramento km 6.5,Zona industrial,35140 Gómez Palacio,Durango,Mexico

出　　处：《Journal of Forestry Research》2023年第6期1855-1867,共13页林业研究（英文版）

基　　金：supported by the National Council of Science and Technology of Mexico(CONACyT),which provided financial support through scholarships for postgraduate studies to J.L.G.S.(815176)and M.R.C.(507523)。

摘　　要：The use of unmanned aerial vehicles(UAV)for forest monitoring has grown significantly in recent years,providing information with high spatial resolution and temporal versatility.UAV with multispectral sensors allow the use of indexes such as the normalized difference vegetation index(NDVI),which determines the vigor,physiological stress and photo synthetic activity of vegetation.This study aimed to analyze the spectral responses and variations of NDVI in tree crowns,as well as their correlation with climatic factors over the course of one year.The study area encompassed a 1.6-ha site in Durango,Mexico,where Pinus cembroides,Pinus engelmannii,and Quercus grisea coexist.Multispectral images were acquired with UAV and information on meteorological variables was obtained from NASA/POWER database.An ANOVA explored possible differences in NDVI among the three species.Pearson correlation was performed to identify the linear relationship between NDVI and meteorological variables.Significant differences in NDVI values were found at the genus level(Pinus and Quercus),possibly related to the physiological features of the species and their phenology.Quercus grisea had the lowest NDVI values throughout the year which may be attributed to its sensitivity to relative humidity and temperatures.Although the use of UAV with a multispectral sensor for NDVI monitoring allowed genera differentiation,in more complex forest analyses hyperspectral and LiDAR sensors should be integrated,as well other vegetation indexes be considered.

关 键 词：Multispectral images Normalized diff erence Vegetation index PHENOLOGY Unmanned aerial vehicles Multitemporal analysis 

分 类 号：S712[农业科学—林学]