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Article

Normalized Difference Vegetation Index Temporal Responses to Temperature and Precipitation in Arid Rangelands

1
CEIGRAM, Universidad Politécnica de Madrid, 28040 Madrid, Spain
2
Grupo de Sistemas Complejos, Universidad Politécnica de Madrid, 28040 Madrid, Spain
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Evaluación de Recursos Naturales, ETSI Agronómica, Alimentaria y Biosistemas, Universidad Politécnica de Madrid, 28040 Madrid, Spain
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AgSystems, ETSI Agronómica, Alimentaria y Biosistemas, Universidad Politécnica de Madrid, 28040 Madrid, Spain
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Departamento de Análisis Económico y Finanzas, Universidad de Castilla-La Mancha, 45071 Toledo, Spain
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Economía Agraria y Gestión de los Recursos Naturales, ETSI Agronómica Alimentaria y Biosistemas, Universidad Politécnica de Madrid, 28040 Madrid, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Nicolas R. Dalezios
Remote Sens. 2021, 13(5), 840; https://doi.org/10.3390/rs13050840
Received: 19 January 2021 / Revised: 17 February 2021 / Accepted: 20 February 2021 / Published: 24 February 2021
(This article belongs to the Special Issue Remote Sensing for Agrometeorology)
Rangeland degradation caused by increasing misuses remains a global concern. Rangelands have a remarkable spatiotemporal heterogeneity, making them suitable to be monitored with remote sensing. Among the remotely sensed vegetation indices, Normalized Difference Vegetation Index (NDVI) is most used in ecology and agriculture. In this paper, we research the relationship of NDVI with temperature, precipitation, and Aridity Index (AI) in four different arid rangeland areas in Spain’s southeast. We focus on the interphase variability, studying time series from 2002 to 2019 with regression analysis and lagged correlation at two different spatial resolutions (500 × 500 and 250 × 250 m2) to understand NDVI response to meteorological variables. Intraseasonal phases were defined based on NDVI patterns. Strong correlation with temperature was reported in phases with high precipitations. The correlation between NDVI and meteorological series showed a time lag effect depending on the area, phase, and variable observed. Differences were found between the two resolutions, showing a stronger relationship with the finer one. Land uses and management affected the NDVI dynamics heavily strongly linked to temperature and water availability. The relationship between AI and NDVI clustered the areas in two groups. The intraphases variability is a crucial aspect of NDVI dynamics, particularly in arid regions. View Full-Text
Keywords: biometeorology; agrometeorological information; data analysis; grassland; MODIS biometeorology; agrometeorological information; data analysis; grassland; MODIS
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MDPI and ACS Style

Sanz, E.; Saa-Requejo, A.; Díaz-Ambrona, C.H.; Ruiz-Ramos, M.; Rodríguez, A.; Iglesias, E.; Esteve, P.; Soriano, B.; Tarquis, A.M. Normalized Difference Vegetation Index Temporal Responses to Temperature and Precipitation in Arid Rangelands. Remote Sens. 2021, 13, 840. https://doi.org/10.3390/rs13050840

AMA Style

Sanz E, Saa-Requejo A, Díaz-Ambrona CH, Ruiz-Ramos M, Rodríguez A, Iglesias E, Esteve P, Soriano B, Tarquis AM. Normalized Difference Vegetation Index Temporal Responses to Temperature and Precipitation in Arid Rangelands. Remote Sensing. 2021; 13(5):840. https://doi.org/10.3390/rs13050840

Chicago/Turabian Style

Sanz, Ernesto, Antonio Saa-Requejo, Carlos H. Díaz-Ambrona, Margarita Ruiz-Ramos, Alfredo Rodríguez, Eva Iglesias, Paloma Esteve, Bárbara Soriano, and Ana M. Tarquis. 2021. "Normalized Difference Vegetation Index Temporal Responses to Temperature and Precipitation in Arid Rangelands" Remote Sensing 13, no. 5: 840. https://doi.org/10.3390/rs13050840

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