Next Article in Journal
Fast T Wave Detection Calibrated by Clinical Knowledge with Annotation of P and T Waves
Previous Article in Journal
Interferometric Reflectance Imaging Sensor (IRIS)—A Platform Technology for Multiplexed Diagnostics and Digital Detection
Article Menu

Export Article

Open AccessArticle
Sensors 2015, 15(7), 17666-17692;

Multiscale Trend Analysis for Pampa Grasslands Using Ground Data and Vegetation Sensor Imagery

Department of Geography, Federal University of Rio Grande do Sul, Porto Alegre 91501-970, RS, Brazil
Author to whom correspondence should be addressed.
Academic Editor: Assefa M. Melesse
Received: 14 April 2015 / Revised: 30 June 2015 / Accepted: 9 July 2015 / Published: 21 July 2015
(This article belongs to the Section Remote Sensors)
Full-Text   |   PDF [3957 KB, uploaded 22 July 2015]   |  


This study aimed to evaluate changes in the aboveground net primary productivity (ANPP) of grasslands in the Pampa biome by using experimental plots and changes in the spectral responses of similar vegetation communities obtained by remote sensing and to compare both datasets with meteorological variations to validate the transition scales of the datasets. Two different geographic scales were considered in this study. At the local scale, an analysis of the climate and its direct influences on grassland ANPP was performed using data from a long-term experiment. At the regional scale, the influences of climate on the grassland reflectance patterns were determined using vegetation sensor imagery data. Overall, the monthly variations of vegetation canopy growth analysed using environmental changes (air temperature, total rainfall and total evapotranspiration) were similar. The results from the ANPP data and the NDVI data showed the that variations in grassland growth were similar and independent of the analysis scale, which indicated that local data and the relationships of local data with climate can be considered at the regional scale in the Pampa biome by using remote sensing. View Full-Text
Keywords: biomass; scale; climate analysis; NDVI biomass; scale; climate analysis; NDVI

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Supplementary material


Share & Cite This Article

MDPI and ACS Style

Scottá, F.C.; da Fonseca, E.L. Multiscale Trend Analysis for Pampa Grasslands Using Ground Data and Vegetation Sensor Imagery. Sensors 2015, 15, 17666-17692.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top