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

Auteur(s) et Affiliation(s)

CAI, H.
Northeast Inst. of Geography and Agroecology, CAS, Changchun, Chine
Graduate University of Chinese Academy of Sciences, Beijing, Chine
ZHANG, S.
Northeast Inst. of Geography and Agroecology, CAS, Changchun, Chine
BU, K.
Northeast Inst. of Geography and Agroecology, CAS, Changchun, Chine
YANG, J.
Northeast Inst. of Geography and Agroecology, CAS, Changchun, Chine
CHANG, L.
Northeast Inst. of Geography and Agroecology, CAS, Changchun, Chine


Description :
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.


Type de document :
Article de périodique

Source :
Journal of geographical sciences. Acta geographica sinica, issn : 1009-637X, 2011, vol. 21, n°. 4, p. 705-718, nombre de pages : 14, Références bibliographiques : 34 ref.

Date :
2011

Editeur :
Pays édition : Chine

Langue :
Anglais
Droits :
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