Full text: XVIIIth Congress (Part B7)

  
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e identified, 
particularly if there are satellite data available for the initial 
regeneration stages. Areas abandoned shortly after clearing can 
also be identified by multitemporal analysis. Differentiation of 
these practices can help to better understand the impacts of 
deforestation and, particularly, that of land use dynamics on the 
carbon cycle. 
Characterization of Land Use Dynamics 
Preliminary results of the processing of 1990 and the 1994 scenes 
show that secondary vegetation represents an important fraction 
of the total deforested area. Occurrence of abandonment was 
checked in part of the area during a field campaign in September 
1995. Image classification results and the field campaign also 
confirmed that part of the abandoned areas is re-cleared and part 
continues in the abandonment state, leading to development of 
older stages of secondary vegetation. 
These preliminary results are very likely to be the upper limits of 
the fraction of the abandonment. They do not differentiate 
between perennial cultures (particularly cacao and rubber) and 
abandonment, that the authors found in some areas. A more 
detailed survey of the region is needed and the potential of using 
TM data for discrimination of these categories has to be 
thoroughly evaluated to improve the classification results and to 
produce reliable figures of the fractions of land in use and 
abandonment. 
One interesting characteristic observed in this study is that part 
of the area classified as abandoned in 1990 was classified as 
forest in 1994. This occurred partly because of segmentation and 
classification errors, but, also, because of the difficulties in 
discriminating between forest and older stages of secondary 
vegetation. 
The approach described in this paper is being used by INPE 
researchers to study land cover/land use dynamics in Rondónia 
and in other regions of the Brazilian Amazon. The aims of these 
studies are to determine how deforestation and abandonment 
evolved in the regions over the last 10-20 years, and to evaluate 
some of the impacts of human occupation in the Amazon. The 
approach described in this paper has proven to be useful for these 
studies, and can contribute to improve the assessment of the 
causes and effects of deforestation in the Amazon. 
ACKNOWLEDGMENTS: Support for this work was provided 
by FAPESP (project number 95/2432-5) and CNPq (project 
numbers RHAE 610206/94-0). Authors also acknowledge the 
support of Rondónia State Secretary for Environmental 
Development (SEDAM) and, particularly, Eraldo Matricardi, of 
Silvana Amaral (INPE). 
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International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B7. Vienna 1996 
 
	        
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