Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2010, Vol. 7, No. 1, pp. 330-341
The recognition features to map arable lands based on multi-annual MODIS Earth observation data
D. Plotnikov
, S. Bartalev
, E. Loupian
Space Research Institute of Russian Academy of Sciences, 117997 Moscow, 84/32 Profsoyuznaya str
New recognition features to map arable lands based on remotely sensed multi-annual Terra-MODIS surface reflectance data are developed and described in this paper. These features account for specific seasonal and inter-annual behaviour of perpendicular vegetation index (PVI), which strongly correlates with green canopy biomass. In the scope of this research new recognition features separability to discriminate arable land and natural vegetation classes was estimated. Results obtained were found to be applicable for arable lands national monitoring system and is foreseeing to be used as basis for improvement of existing automatic mapping method, as well as useful input for land-use dynamics and crop yield estimation.
Keywords: remote sensing, spectral surface reflectance, data time-series, arable lands
Full text