REMOTE SENSING APPLIED TO GRASSLAND ECOSYSTEMS IN REGIONS WITH CLIMATIC VULNERABILITY

Code: 221010540
Downloads
10
Views
62
Compartilhe
Título

REMOTE SENSING APPLIED TO GRASSLAND ECOSYSTEMS IN REGIONS WITH CLIMATIC VULNERABILITY

Autores(as):
  • Leonardo De Morais

  • Ana Clara Cavalcante

  • Deodato Aquino

  • Magno José Cândido

DOI
  • DOI
  • 10.37885/221010540
    Publicado em

    29/12/2022

    Páginas

    150-165

    Capítulo

    10

    Resumo

    The aim of this review is to present the concepts and current research on the use of remote sensing in studies of pastoral ecosystems. The management of pasture plays an important role in the balance between biomass production and its regrowth so that the determination of biomass production is fundamental information to perform the adjustment of the number of animals. There are direct and indirect methods to obtain forage biomass in pastures. Generally the most used are direct methods, where there is the cutting of all forage present in a known area frame, and this requires the help of a variety of tools, requiring infrastructure, labor with long-term fieldwork. Remote sensing is an indirect way to determine biomass in pastures, which has a significant potential to monitor vegetation dynamics, besides predicting events such as the beginning or peak of vegetation growth. One of the ways to monitor the vegetation is through the use of vegetation indexes. There are several vegetation indexes, but soil adjusted vegetation index (SAVI) and normalized difference vegetation index (NDVI) are the most used in studies on pastoral ecosystems. Remote sensing used for pasture evaluation can contribute with relevant and complementary information on forage production, as well as the growth behavior of the forage plant, allowing to obtain information on large scales.

    Ler mais...
    Palavras-chave

    Environmental disasters, Livestock analysis, Remote sensing, Spectral vegetation indices.

    Publicado no livro

    OPEN SCIENCE RESEARCH VII

    Licença

    Esta obra está licenciada com uma Licença Creative Commons Atribuição-NãoComercial-SemDerivações 4.0 Internacional.

    Licença Creative Commons

    O conteúdo dos capítulos e seus dados e sua forma, correção e confiabilidade, são de responsabilidade exclusiva do(s) autor(es). É permitido o download e compartilhamento desde que pela origem e no formato Acesso Livre (Open Access), com os créditos e citação atribuídos ao(s) respectivo(s) autor(es). Não é permitido: alteração de nenhuma forma, catalogação em plataformas de acesso restrito e utilização para fins comerciais. O(s) autor(es) mantêm os direitos autorais do texto.

    Este site utiliza cookies. Usamos cookies para personalizar conteúdo e anúncios, fornecer recursos de mídia social e analisar nosso tráfego. Ao continuar você concorda com a nossa política de utilização de cookies.

    Continuar