Data/hora: 09/06/2024 06:21:25

Biblioteca(s): | Embrapa Territorial.
Data corrente: | 15/03/2021
Data da última atualização: | 15/03/2021
Autoria: | TEIXEIRA, A. H. DE. C.; LEIVAS, J. F.; PACHECO, E. P.; GARCON, E. A. M.; TAKEMURA, C. M.
Afiliação: | ANTÔNIO HERIBERTO DE CASTRO TEIXEIRA, UFS; JANICE FREITAS LEIVAS, CNPM; EDSON PATTO PACHECO, CPATC; EDLENE APARECIDA MONTEIRO GARCON, CNPM; CELINA MAKI TAKEMURA, CNPM.
Título: | Biophysical Characterization and Monitoring Large-Scale Water and Vegetation Anomalies by Remote Sensing in the Agricultural Growing Areas of the Brazilian Semi-Arid Region.
Ano de publicação: | 2021
Fonte/Imprenta: | In: PANDEY, P. C.; LAXMI, K. S. (Ed.). Advances in Remote Sensing for Natural Resource Monitoring. Nova Jersey, EUA: John Wiley & Sons, 2021.
Páginas: | p. 94-109.
Idioma: | Português
Conteúdo: | The objective of this researchwas to test the operationality of coupling long series MODIS reflectance images and agrometeorological data for biophysical characterizations and further analyses of anomalies on water and vegetation conditions. The mixed weather and remote sensing parameters used were ET, BIO, and P at a 16-day period and 250m spatial scale, considering the period from 2003 to 2017. The counties of Petrolina and Juazeiro, Pernambuco and Bahia states, respectively, in the semi-arid of northeast Brazil, are considered the reference regions for semi-arid environments experiencing climate instability and land-use changes.
Palavras-Chave: | Water and vegetation.
Categoria do assunto: | --
Registro original: | Embrapa Territorial (CNPM)
Exemplares: | CNPM - (5886-1) - UPC - PL - DD - 21/013 - CL - 2021.013 - DIS