HR: 1340h
AN: B43B-0270 [Abstracts]
TI: Characterizing a Dynamic Land Cover Change Frontier Using MODIS Phenology Metrics: Cropland Expansion
in Mato Grosso, Brazil
AU: * Morton, D C
EM: morton@geog.umd.edu
AF: University of Maryland, College Park, 2181 LeFrak Hall, College Park, MD 20742
United States
AU: DeFries, R S
EM: rdefries@geog.umd.edu
AF: University of Maryland, College Park, 2181 LeFrak Hall, College Park, MD 20742
United States
AU: Shimabukuro, Y E
EM: yosio@ltid.inpe.br
AF: Instituto Nacional de Pesquisas Espaciais, Divisao de Sensoriamento Remoto
Av. dos Astronautas, 1758
Jardim da Granja
, Sao Jose dos Campos, SP 12227-010
Brazil
AU: Morisette, J
EM: jeff.morisette@nasa.gov
AF: NASA Goddard Space Flight Center, Mail Code 614.5, Greenbelt, MD 20771
United States
AB:
The state of Mato Grosso, Brazil experienced the most rapid agricultural expansion of any region in the Amazon Basin during
the existing MODIS data record. Rapid conversion of Amazon forest, transitional tropical forest, and cerrado
woodland-savanna for cattle ranching and grain production continues to fragment large tracts of these biomes. Tropical
forest loss is estimated annually, yet the fate of cleared lands and losses of transitional forest or cerrado have not been
well characterized in this region. Using phenological information from time series of MODIS 16-day composite data, it is
possible to capture the temporal dynamism of land cover change and accurately separate primary and secondary land use
transitions. We use time series of cloud-cleaned MODIS NDVI and EVI at 250 m resolution to characterize land cover based on
metrics of wet-season, dry-season, and annual phenology from 2000-2004. Distinct phenological signatures for forest, pasture
and natural grasslands, cerrado, and cropland enable accurate classification of land cover types when compared to field
validation data (overall accuracy = 85%). We estimate that more than 1.6 million hectares were converted to cropland
between 2000 and 2004. The majority of new cropland resulted from the direct conversion of cerrado (35%) or forest (29%);
conversion of natural grassland areas or planted pasture accounted for 36% of new cropland areas. While secondary
transitions from existing cattle pasture to cropland are an important source of new agricultural production, our findings
contradict recent statements that cropland agriculture is not directly associated with new deforestation activities.
Separation of more seasonal cerrado vegetation from transitional tropical forest based on vegetation phenology highlights
land cover dynamics in regions with no previous deforestation monitoring. Phenological information from MODIS is extremely
important to monitor land cover dynamics, separate forest types, and estimate impacts of tropical forest replacement by
grassland (C4) or cropland (C3) on regional hydrology, energy balance, and ecosystem function.
DE: 0402 Agricultural systems
DE: 0439 Ecosystems, structure and dynamics (4815)
DE: 0480 Remote sensing
DE: 1632 Land cover change
SC: Biogeosciences [B]
MN: Fall Meeting 2005