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Remote sensing environmental indicators for monitoring spatial and temporal dynamics of weather and vegetation conditions: applications for Brazilian biomes.
Teixeira, Antônio; Leivas, Janice; Takemura, Celina; Bayma, Gustavo; Garçon, Edlene; Sousa, Inajá; Farias, Franzone; Silva, Cesar.
Afiliação
  • Teixeira A; Federal University of Sergipe (UFS), São Cristóvão, SE, Brazil. heribertoteixeira11@gmail.com.
  • Leivas J; Embrapa Territory, Campinas, SP, Brazil.
  • Takemura C; Embrapa Territory, Campinas, SP, Brazil.
  • Bayma G; Embrapa Environment, Jaguariuna, SP, Brazil.
  • Garçon E; Embrapa Territory, Campinas, SP, Brazil.
  • Sousa I; Federal University of Sergipe (UFS), São Cristóvão, SE, Brazil.
  • Farias F; Federal University of Sergipe (UFS), São Cristóvão, SE, Brazil.
  • Silva C; University of Campinas (UNICAMP), Campinas, SP, Brazil.
Environ Monit Assess ; 195(8): 944, 2023 Jul 12.
Article em En | MEDLINE | ID: mdl-37438658
The SAFER (Simple Algorithm for Evapotranspiration Retrieving) algorithm and the radiation use efficiency (RUE) model were coupled to test large-scale remote sensing environmental indicators in Brazilian biomes. MODIS MOD13Q1 reflectance product and gridded weather data for the year 2016 were used to demonstrate the suitability of the algorithm to monitor the dynamics of environmental remote sensing indicators along a year in the Brazilian biomes, Amazon, Caatinga, Cerrado, Pantanal, Atlantic Forest, and Pampa. Significant spatial and temporal variations in precipitation (P), actual evapotranspiration (ET), and biomass production (BIO) yielded differences on water balance (WB = P-ET) and water productivity (WP = ET/BIO). The highest WB and WP differences were detected in the wettest biomes, Amazon, Atlantic Forest, and Pampa, when compared with the driest biome, Caatinga. Rainfall distribution along the year affected the magnitude of the evaporative fraction (ETf), i.e., the ET to reference evapotranspiration (ET0) ratio. However, there was a gap between ETf and WB, which may be related to the time needed for recovering good soil moisture conditions after rainfalls. For some biomes, BIO related most to the levels of absorbed photosynthetically active radiation (Amazon and Atlantic Forest), while for others, BIO followed most the soil moisture levels, depicted by ETf (Caatinga, Cerrado, Pantanal, and Pampa). The large-scale modeling showed suitability for monitoring the water and vegetation conditions, making way to detect anomalies for specific periods along the year by using historical images and weather data, with strong potential to support public policies for management and conservation of natural resources and with possibilities for replication of the methods in other countries.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Indicadores Ambientais / Lepidópteros Tipo de estudo: Prognostic_studies Limite: Animals País/Região como assunto: America do sul / Brasil Idioma: En Revista: Environ Monit Assess Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Holanda
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Indicadores Ambientais / Lepidópteros Tipo de estudo: Prognostic_studies Limite: Animals País/Região como assunto: America do sul / Brasil Idioma: En Revista: Environ Monit Assess Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Holanda