Integracao de sensoriamento remoto, sistema de informacoes geograficas e banco de dados, na identificacao de culturas agricolas de inverno / Integration of remote sensing, geographic information systems and databases, to identify winter agricultural crops

AUTOR(ES)
DATA DE PUBLICAÇÃO

1993

RESUMO

This work presents the development of a methodology to identify winter irrigated agricultural crops in Guaira region, State of Sao Paulo, to the year 1991, using a multitemporal imagery dataset and ground auxiliary data, covering three consecutive years (1988, 1989, and 1990)from images and auxiliary data made possible using an image treatment system (SITIM), a geographic information system (GIS), and a database management system (dBASE 4)to realize the integration of these multifonts and multitemporal data to identify the agricultural crops. With the purpose of evaluating the gathered results with the proposed method, the study area was digitally classified using a likelihood algorithm. Later, both results were compared using Kappa statistics, supplying the indexes of 0.668974 (very good)to the proposed method and 0.472170 (good)to the digital classification method. The gathered values showed that the classified area with the proposed method provided a general index with better performance than the digital classification, about 28.93 percent. The research also allowed the identification of problems at the moment of multifont data integration, suggesting the use of a modern geoprocessing system.

ASSUNTO(S)

image classification agricultura integração de dados culturas de inverno identificação de cultura máxima verossimilhança data base winter management systems data integration geographic information systems (gis) guaira (sp) classificação imagens farm crop sistemas de informação geográfica (sig) data acquisition crop identification data bases

ACESSO AO ARTIGO

Documentos Relacionados