English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Remote sensing is essential to assess changes caused by forest fires on land use, as it provides the temporal and spatial coverage for monitoring and analyzing these events. The purpose of this work is to map alterations caused by fires in Uberaba Microregion and to analyze land uses affected by wildfires between August 3 and September 12, 2017. We used Images from the Sentinel-2A satellite, MSI sensor and applied a pre-fire and post-fire temporal analysis methodology and to validate the accuracy of the results a Kappa coefficient was used. There were an estimated a burned area of 11,129ha, where 10,437ha occurred on agricultural crops, however, the kappa coefficient of 55.2% denotes moderate agreement. Accuracy can be increased if the method is applied only in areas with known fires, excluding estimated areas. The fires were more intense on sugar cane cultivation.

AVALIAÇÃO DO DESEMPENHO DO ÍNDICE ∆NBR PARA A IDENTIFICAÇÃO DE ÁREAS INCENDIADAS NA MICRORREGIÃO DE UBERABA, MG