SPATIAL STATISTIC TO ASSESS REMOTE SENSING ACREAGE ESTIMATES: AN ANALYSIS OF SUGARCANE IN SAO PAULO STATE, BRAZIL

Author(s)

Mello, Marcio Pupin ; Aguiar, Daniel Alves ; Theodor Rudorff, Bernardo Friedrich ; Pebesma, Edzer ; Jones, Jim ; Pontes Santos, Naiara Carolina ; IEEE

• Document type: Journal article
• Source: 2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS); v. N/A, p. 4-pg., 2013-01-01.

Abstract

After the launching of the Landsat-5/TM in the 1980's, remote sensing based methods appeared as an alternative to obtain agricultural statistics. Using the case study of sugarcane acreage in Sao Paulo State, this paper compares, at a municipal scale, the differences between the remote sensing based (Canasat Project) and the official (Brazilian Institute of Geography and Statistics - IBGE) estimates of relative sugarcane acreage in 2010. This evaluation was carried out through graphical and spatial statistical analyses. Despite individual divergences, results indicated that on average Canasat and IBGE are in agreement. Moreover, large differences were rarely observed for municipalities with high sugarcane production. The remote sensing based method seems to be of great potential for agricultural statistics as it tends to maintain the consistence of current official agricultural statistics with the benefit of further improving estimates. The spatial statistical analyses showed to be effective to assess remote sensing based acreage estimates. (AU)

• FAPESP's process: 08/56252-0 - Environmental and socioeconomic impacts associated with the production and consumption of sugarcane ethanol in south central Brazil
• Grantee: Evlyn Márcia Leão de Moraes Novo
• Support Opportunities: Program for Research on Bioenergy (BIOEN) - Thematic Grants