Estimativa de áreas agrícolas por meio de técnica de sensoriamento remoto, geoprocessamento e amostragem / Crop area estimation using remote sensing, geoprocessing and sample techniques

AUTOR(ES)
DATA DE PUBLICAÇÃO

2003

RESUMO

Efficient estimates of agricultural production require practical and rapid methods for its accomplishment. In this context, the use of computer to speed up the involved processes during the estimates is important. Thus, the present work comes to contribute with the automation of the procedures for stratification and allocation of samples to estimate the cultivated area, having the area sampling procedure as base. The main objective of this research was to estimate the cultivated area with coffee, maize and soybean crops, using satellite images, geoprocessing techniques and probabilistic area sampling, in the municipality of Cornélio Procópio and in the Regional Nucleus composed by 23 municipalities. For the accomplishment of this work, it was mapped land use and land occupation, it was stratified the study area based on land use level for agriculture, it was used the random stratified sampling for the allocation of the samples, it was accomplished the field work to collect information about the cultivated area, and the data was expanded utilizing the direct expansion and regression. The results of this work demonstrate that through the SPRING software package it was possible to perform all the procedures for constructing the sample panel, that is, stratification, area calculation, and sample allocation. It was also possible to use Landsat-7/ ETM+ images as support to allocate the segment for collecting data on the field, since that it assisted with the Global Positioning System (GPS). Moreover, this research made possible to estimate the area of these crops in a regional and municipal scale by using area sampling, within of an acceptable reliability and with objective results. Still as result, it presents the changeable cost of the research for the region and it makes an estimate of the cost for the expansion of the methodology for the Paraná State.

ASSUNTO(S)

café santa catarina remote sensing soja amostragem soybeans milho santa catarina (sc) sensoriamento remoto coffee sampling geoprocessing corn geoprocessamento

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