19 documents found, page 1 of 2
Regional socioeconomic changes affecting rural area livelihoods and Atlantic fo...
SILVA, R. F. B. da; BATISTELLA, M.; MORAN, E. F.Abstract: Centuries of colonization of the Atlantic Forest biome in Brazil have led its native vegetation cover to be reduced to only 11.7%. On the other hand, regional land changes have fostered natural forest regeneration, since the 1960s, in the region of Paraíba Valley. A fieldwork survey in rural properties was conducted in three municipalities (n = 90, thirty in each municipality), to assess how forest tr...
Geotraceability: an innovative strategy for extraction of information and an ai...
ANDRADE, R. G.; BATISTELLA, M.; PIRES, P. P.; VISOLI, M. C.; AMARAL, T. B.Abstract The requirement of traceability of information for food is an increasingly important condition for gaining the confidence and loyalty of the consumer. The concept of geotraceabil ity arose through the association between knowledge of a geographical nature with the traditional information provided by traceability. This study explored the use of design of spatial information inherent to biophysical param...
Settlement design, forest fragmentation, and landscape change in Rondônia, Amaz...
BATISTELLA, M.; ROBESON, S.; MORAN, E. F.Made available in DSpace on 2014-08-01T06:36:38Z (GMT). No. of bitstreams: 1 1236.pdf: 311118 bytes, checksum: ca912be6f8145a69f99390bafdcbc70c (MD5) Previous issue date: 2004-05-13
Satellite estimation of aboveground biomass and impacts of forest stand structure.
LU, D.; BATISTELLA, M.; MORAN, E.Heterogeneous Amazonian landscapes and complex forest stand structure often make aboveground biomass (AGB) estimation difficult. In this study, spectral mixture analysis was used to convert a Landsat Thematic Mapper (TM) image into green vegetation, shade, and soil fraction images. Entropy was used to analyze the complexity of forest stand structure and to examine impacts of different stand structures on TM ref...
Mappig and monitoring land degradation risks in the western Brazilian Amazon us...
LU, D.; BATISTELLA, M.; MAUSEL, P.; MORAN, E.Mapping and monitoring land degradation in areas under human-induced stresses have urgent tasks in remote sensing whose importance has not yet been fully appreciated. In this study, a surface cover index (SCI) is developed to evaluate and map potential land degradation risks associated with deforestation and accompanying soil erosion in a Western Brazilian Amazon rural settlement study area. The relationships b...
Land-cover classification in the Brazilian Amazon with the integration of Lands...
LU, D.; BATISTELLA, M.; MORAN, E.Land-cover classification with remotely sensed data in moist tropical regions in a challenge due to the complex biophysical conditions. This paper explores techniques to improve land-cover classification accuracy through a comparative analysis of different combinations of spectral signatures and textures from Landsat Enhanced Thematic Mapper Plus (ETM +) and Radarsat data. A wavelet-merging technique was used t...
A comparative study of landsat TM and SPOT HRG images of vegetation classificat...
LU, D.; BATISTELLA, M.; MIRANDA, E. E. deComplex forest structure and abundant tree species in the moist tropical regions often couse difficulties in classifying vegetation classes with remotely sensed data. This paper explores improvement in vegetation classification accuracies through a comparative study of different image combinations based on the integration of Landsat Thematic Mapper (TM) and SPOT High Resolution Geometric (HRG) instrument data, ...
Multitemporal spectral mixture analysis for Amazonian land-cover change detection.
LU, D.; BATISTELLA, M.; MORAN, E.The complex landscape and environmental conditions in the moist tropical region often result in poor land-cover change detection accuracy using traditional change detection methods. This paper explores linear spectral mixture analysis (LSMA) of multitemporal thematic mapper (TM) images to detect land-cover change in Rondônia, Brazilian Amazon basin. Three image endmembers (shade, green vegetation, and soil) wer...
The use of geoprocessing techniques for the environmental planning of the Ferna...
BATISTELLA, M.; MIRANDA, E. E. deMade available in DSpace on 2014-09-17T07:30:26Z (GMT). No. of bitstreams: 1 1426.pdf: 5592596 bytes, checksum: baa56392e29384d09eb946b494d58049 (MD5) Previous issue date: 2004-06-15
A comparative analysis of ALOS PALSAR L-band and RADARSAT-2 C-band data for lan...
LI, G.; LU, D.; DUTRA, L.; BATISTELLA, M.This paper explores the use of ALOS (Advanced Land Observing Satellite) PALSARL-band (Phased Array type L-band Synthetic Aperture Radar) and RADARSAT-2 C-band data for land-cover classification in a tropical moist region. Transformed divergence was used to identify potential textural images which were calculated with the gray-level co-occurrence matrix method. The standard deviation of selected textural images ...