Litcius/Paper detail

Pattern Recognition and Remote Sensing techniques applied to Land Use and Land Cover mapping in the Brazilian Savannah

Leila María García Fonseca, Thales Sehn Körting, Hugo do Nascimento Bendini, Cesare Di Girolamo-Neto, Alana K. Neves, Anderson R. Soares, Evandro Carrijo Taquary, Raian Vargas Maretto

2021Pattern Recognition Letters26 citationsDOIOpen Access PDF

Abstract

The Brazilian Savannah, or Cerrado, has gained vital importance in the discussions about sustainable land development after the conversion of half of its natural vegetation. For the last two decades, most of the agricultural expansion in Brazil has occurred in this biome. This is related to technological improvements in agriculture as well as to environmental compliance policies that have effectively reduced soybean expansion in the Brazilian Amazon biome. Therefore, remotely sensed imagery, pattern recognition and image processing techniques have been employed to analyze and monitor the land dynamics over Cerrado. In this work, we present a brief review on Land Use and Land Cover mapping (LULC) in the Cerrado biome from an application perspective: natural vegetation, pastureland, agriculture, and deforestation. In this review we selected some studies whose results could contribute to the development of more detailed and accurate LULC maps for the Cerrado biome.

Topics & Concepts

BiomeDeforestation (computer science)Land coverAmazon rainforestLand useVegetation (pathology)GeographyAgricultureRemote sensingAgroforestryEnvironmental scienceEcosystemEcologyComputer sciencePathologyBiologyProgramming languageArchaeologyMedicineRemote Sensing in AgricultureLand Use and Ecosystem ServicesSoil and Land Suitability Analysis