Multitemporal analysis and mapping of land use changes caused by sugar cane expansion in the State of São Paulo, Southeast of Brazil

The change in land use and land cover caused by the expansion of sugar cane in a part of the State of São Paulo between 1988 and 2016 was mapped. The mapping was done automatically using orbital imagery from the Landsat Thematic Mapper (TM) satellite and by manual delimitation of polygons. During the period under study, sugarcane areas more than doubled, expanding by 1.2 million hectares, mainly over pasture, annual crops and citrus. Faced with a shortage of land, the sugar energy sector must increase productivity, but in a sustainable way. To meet this challenge, in addition to increasing productivity per hectare, the sector must expand integrated agricultural practices and promote the conservation of native vegetation. Maps generated from large-scale classification of satellite image time series provide a more detailed understanding of land use dynamics and provide valuable input for land use planning policies.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-12-01
Primary Topic
Remote Sensing in Agriculture
Type
article
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article

Multitemporal analysis and mapping of land use changes caused by sugar cane expansion in the State of São Paulo, Southeast of Brazil

SHILAP Revista de lepidopterología
Remote Sensing in Agriculture
article

Multitemporal analysis and mapping of land use changes caused by sugar cane expansion in the State of São Paulo, Southeast of Brazil

article en

Abstract

The change in land use and land cover caused by the expansion of sugar cane in a part of the State of São Paulo between 1988 and 2016 was mapped. The mapping was done automatically using orbital imagery from the Landsat Thematic Mapper (TM) satellite and by manual delimitation of polygons. During the period under study, sugarcane areas more than doubled, expanding by 1.2 million hectares, mainly over pasture, annual crops and citrus. Faced with a shortage of land, the sugar energy sector must increase productivity, but in a sustainable way. To meet this challenge, in addition to increasing productivity per hectare, the sector must expand integrated agricultural practices and promote the conservation of native vegetation. Maps generated from large-scale classification of satellite image time series provide a more detailed understanding of land use dynamics and provide valuable input for land use planning policies.

SHILAP Revista de lepidopterología
Universidade Federal de São Carlos (BR), Brazilian Agricultural Research Corporation (BR)
Zero hunger
Openalex Percentile: Top 36%
Remote Sensing in Agriculture
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