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(Article of periodic en Anglais - 2011)

Document title

Integrating geographical data and phenological characteristics derived from MODIS data for improving land cover mapping

Authors(s) and Affiliation(s)

CAI H. (1 2) ; ZHANG S. (1) ; BU K. (1) ; YANG J. (1) ; CHANG L. (1) ;
(1) Northeast Inst. of Geography and Agroecology, CAS, Changchun, CHINE
(2) Graduate University of Chinese Academy of Sciences, Beijing, CHINE

Abstract

The study developed a feasible method for large-area land cover mapping with combination of geographical data and phenological characteristics, taking Northeast China (NEC) as the study area. First, with the monthly average of precipitation and temperature datasets, the spatial clustering method was used to divide the NEC into 4 ecoclimate regions. For each ecoclimate region, geographical variables (annual mean precipitation and temperature, elevation, slope and aspect) were combined with phenological variables derived from the moderate resolution imaging spectroradiometer (MODIS) data (enhanced vegetation index (EVI) and land surface water index (LSWI)), which were taken as input variables of land cover classification. Decision Tree (DT) classifiers were then performed to produce land cover maps for each region. The results highlight that this land cover map produced (NEC_MODIS) has a good performance

Source

Article of periodic

published at : Journal of geographical sciences. Acta geographica sinica / ISSN 1009-637X

Editor : CHINE

Millesime : 2011, vol. 21, no4 [pp. 705-718]

Bibliographic references : 34 ref.

Collation : 4 fig., 3 tabl.

Language

Anglais

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1007/s11442-011-0874-1

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2012
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