SciELO - Scientific Electronic Library Online

 
vol.24 issue2Effect of fire and elevation on the regeneration of Pinus hartwegii Lindl. in northeastern MexicoPrecision of remote sensors to estimate aerial biomass parameters: portable LIDAR and optical sensors author indexsubject indexsearch form
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • Have no similar articlesSimilars in SciELO

Share


Revista Chapingo serie ciencias forestales y del ambiente

On-line version ISSN 2007-4018Print version ISSN 2007-3828

Abstract

GUEVARA-OCHOA, Cristian et al. A methodology for the characterization of land use using medium-resolution spatial images. Rev. Chapingo ser. cienc. for. ambient [online]. 2018, vol.24, n.2, pp.207-218. ISSN 2007-4018.  http://dx.doi.org/10.5154/r.rchscfa.2017.10.061.

Introduction:

The characterization of land uses represents one of the essential inputs for the management of natural resources at different scales.

Objective:

To develop a methodology to characterize land use in the upper creek basin from the Azul stream (Buenos Aires, Argentina), through the fusion of satellite images with a medium spatial resolution.

Materials and methods:

A time-series of 23 images was used from the Normalized Difference Vegetation Index (NDVI) of the MODIS-Terra satellite (product MOD13Q1) for the period May 2015 - May 2016. Landsat 8 images were used to discriminate some categories difficult to classify with NDVI-MODIS. The final cover map was validated regarding verification points independent to the classification process; its accuracy was evaluated by means of the Kappa statistic.

Results and discussion:

The NDVI time series allowed to recognize the phenological patterns of the covers and land use of greater representativeness in the region. Seven land cover were discriminated; the agricultural uses represented 81.5 % of the surface, double-crop wheat-soya (soybean in Argentina) system predominated (39.4 %). The overall accuracy of the final map was high (88.9 %, Kappa coefficient = 0.86).

Conclusion:

The methodology used has the advantage of being quick and replicable, to characterize the land uses of a given region and to evaluate its potential changes over time.

Keywords : Remote sensing; NDVI series; MODIS satellite; Landsat satellite; phenological signature.

        · abstract in Spanish     · text in English | Spanish     · English ( pdf ) | Spanish ( pdf )