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| Content Provider | MDPI |
|---|---|
| Author | Abade, Natanael Júnior, Osmar Guimarães, Renato de Oliveira, Sandro |
| Abstract | We have mapped the primary native and exotic vegetation that occurs in the Cerrado-Caatinga transition zone in Central Brazil using MODIS-NDVI time series (product MOD09Q1) data over a two-year period (2011–2013). Our methodology consists of the following steps: (a) the development of a three-dimensional cube composed of the NDVI-MODIS time series; (b) the removal of noise; (c) the selection of reference temporal curves and classification using similarity and distance measures; and (d) classification using support vector machines (SVMs). We evaluated different temporal classifications using similarity and distance measures of land use and land cover considering several combinations of attributes. Among the classification using distance and similarity measures, the best result employed the Euclidean distance with the NDVI-MODIS data by considering more than one reference temporal curve per class and adopting six mapping classes. In the majority of tests, the SVM classifications yielded better results than other methods. The best result among all the tested methods was obtained using the SVM classifier with a fourth-degree polynomial kernel; an overall accuracy of 80.75% and a Kappa coefficient of 0.76 were obtained. Our results demonstrate the potential of vegetation studies in semiarid ecosystems using time-series data. |
| File Size | 7343104 |
| Ending Page | 12191 |
| Page Count | 32 |
| Starting Page | 12160 |
| File Format | |
| e-ISSN | 20724292 |
| DOI | 10.3390/rs70912160 |
| Journal | Remote Sensing |
| Issue Number | 9 |
| Volume Number | 7 |
| Language | English |
| Publisher Date | 2015-09-18 |
| Access Restriction | Open |
| Subject Keyword | Caatinga Cerrado spectral angle mapper spectral correlation mapper euclidian distance measure MODIS |
| Content Type | Text |
| Resource Type | Article |
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