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dc.contributor.authorMORAIS, L. F. de
dc.contributor.authorCAVALCANTE, A. C. R.
dc.contributor.authorAQUINO, D. do N.
dc.contributor.authorCANDIDO, M. J. D.
dc.date.accessioned2023-04-17T17:52:18Z-
dc.date.available2023-04-17T17:52:18Z-
dc.date.created2023-04-17
dc.date.issued2022
dc.identifier.citationIn: OPEN science research VII. Guarujá: Científica Digital, 2022. Cap. 10, p. 150-164.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1153197-
dc.descriptionAbstract: 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.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectEnvironmental disasters
dc.subjectLivestock analysis
dc.subjectSpectral vegetation indices
dc.subjectPastoral
dc.subjectBiophysical modeling
dc.subjectPastoral ecosystem
dc.subjectAgricultural disasters
dc.subjectEnvironmental modelling
dc.subjectFluorescência
dc.subjectÍndice espectral
dc.subjectDesastre ambiental
dc.titleRemote sensing applied to grassland ecosystems in regions with climatic vulnerability.
dc.typeParte de livro
dc.subject.thesagroSensoriamento Remoto
dc.subject.nalthesaurusPastures
dc.subject.nalthesaurusRemote sensing
dc.subject.nalthesaurusForage
dc.subject.nalthesaurusGrasslands
dc.subject.nalthesaurusEcosystems
dc.subject.nalthesaurusBiomass
dc.subject.nalthesaurusSilvopastoral systems
dc.subject.nalthesaurusSemiarid soils
dc.subject.nalthesaurusBrazil
riaa.ainfo.id1153197
riaa.ainfo.lastupdate2023-04-17
dc.contributor.institutionLEONARDO FIUSA DE MORAIS, Universidade Federal do Ceará; ANA CLARA RODRIGUES CAVALCANTE, CNPC; DEODATO DO NASCIMENTO AQUINO, INCRA; MAGNO JOSÉ DUARTE CANDIDO, Universidade Federal do Ceará.
Aparece en las colecciones:Capítulo em livro científico (CNPC)

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