Next Article in Journal
Interactive Correlation Environment (ICE) — A Statistical Web Tool for Data Collinearity Analysis
Previous Article in Journal
Automatic Orientation of Multi-Scale Terrestrial Images for 3D Reconstruction
Article Menu

Export Article

Open AccessArticle
Remote Sens. 2014, 6(4), 3041-3058; doi:10.3390/rs6043041

Vegetation Greenness in Northeastern Brazil and Its Relation to ENSO Warm Events

1
Institute of Geography, Georg-August-Universitat Gottingen, Goldschmidtstr. 5, Gottingen D-37077, Germany
2
Institute for Environment and Sustainability, European Commission Joint Research Centre, Via Fermi 2749, Ispra (VA) I-21027, Italy
3
Interdisciplinary Environmental Research Centre, Technical University Bergakademie Freiberg, Brennhausgasse 14, Freiberg D-09599, Germany
4
Universidade Federal de Campina Grande, PB 58429-900, Brazil
*
Author to whom correspondence should be addressed.
Received: 25 February 2014 / Revised: 26 March 2014 / Accepted: 31 March 2014 / Published: 3 April 2014
View Full-Text   |   Download PDF [1045 KB, uploaded 19 June 2014]   |  

Abstract

The spatio-temporal variability of trends in vegetation greenness in dryland areas is a well-documented phenomenon in remote sensing studies at global to regional scales. The underlying causes differ, however, and are often not well understood. Here, we analyzed the trends in vegetation greenness for a semi-arid area in northeastern Brazil (NEB) and examined the relationships between those dynamics and climate anomalies, namely the El Nino Southern Oscillation (ENSO) for the period 1982 to 2010, based on annual Normalized Difference Vegetation Index (NDVI) values from the latest version of the Global Inventory Modeling and Mapping Studies (GIMMS) NDVI dataset (NDVI3g) dataset. Against the ample assumption of ecological and socio-economic research, the results of our inter-annual trend analysis of NDVI and precipitation indicate large areas of significant greening in the observation period. The spatial extent and strength of greening is a function of the prevalent land-cover type or biome in the study area. The regression analysis of ENSO indicators and NDVI anomalies reveals a close relation of ENSO warm events and periods of reduced vegetation greenness, with a temporal lag of 12 months. The spatial patterns of this relation vary in space and time. Thus, not every ENSO warm event is reflected in negative NDVI anomalies. Xeric shrublands (Caatinga) are more sensitive to ENSO teleconnections than other biomes in the study area. View Full-Text
Keywords: NDVI3g; GIMMS; AVHRR; El Nino; inter-annual trends; teleconnections NDVI3g; GIMMS; AVHRR; El Nino; inter-annual trends; teleconnections
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Erasmi, S.; Schucknecht, A.; Barbosa, M.P.; Matschullat, J. Vegetation Greenness in Northeastern Brazil and Its Relation to ENSO Warm Events. Remote Sens. 2014, 6, 3041-3058.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top