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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Land use/land cover changes and bare soil surface temperature monitoring in southeast Brazil

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Autor(es):
Sayao, Veridiana Maria [1] ; dos Santos, Natasha Valadares [1] ; Mendes, Wanderson de Sousa [1] ; Marques, Karina P. P. [1] ; Safanelli, Jose Lucas [1] ; Poppiel, Raul Roberto [1] ; Dematte, Jose A. M. [1]
Número total de Autores: 7
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Luiz de Queiroz Coll Agr, Dept Soil Sci, Padua Dias Ave 11, Piracicaba, SP - Brazil
Número total de Afiliações: 1
Tipo de documento: Artigo Científico
Fonte: GEODERMA REGIONAL; v. 22, SEP 2020.
Citações Web of Science: 0
Resumo

The land surface temperature (LST) provides important information about energy exchange processes, which are influenced by land use/land cover (LULC). Thus, our objective was to evaluate LST patterns driven by LULC changes, detected over a time series of Landsat images. The study area of 2990 km(2) is located in the Piracicaba region, state of Sao Paulo, Brazil. We acquired Landsat images from 1985 to 2019, in dry and moist seasons. Six LULC classes (agriculture, bare soil, straw, forest, water, and pasture) were identified by maximum-likelihood supervised classification every five years and then LST was estimated using the inversion of Planck's function in the thermal band. Spectral indices representing vegetation, water, bare soil, and straw were calculated and correlated to LST in specific years. Bare soil images and their respective LST in both seasons were used annually to approach the influence of bare soil areas on the LST, considering soil class, time and rainfall. LULC alterations over 1985-2015 were an important factor on the LST change, which varied on average from 21.46 degrees C to 41.31 degrees C in the moist season and 17.05 degrees C to 31.67 degrees C in the dry one. Water bodies and vegetation had the lowest LST values, whereas bare soil and straw had the highest ones. The correlation between LST and spectral indices somewhat agreed with such patterns. Arenosols presented the highest LST mean values in both seasons and differed from Acrisols in the dry season, which is probably related to their texture and mineralogical composition. In the moist season, LST was negatively correlated to rainfall, suggesting the influence of soil moisture content on its surface temperature. In the dry season, the LST of bare soil areas increased by an average of 0.13 degrees C per year, indicating a warming trend. In general, LST increased in the studied period, probably due to the increase of anthropic activity, such as the expansion of agricultural areas. These findings can assist future studies on the influence of soils and land use on climate alterations. (C) 2020 Elsevier B.V. All rights reserved. (AU)

Processo FAPESP: 14/22262-0 - Geotecnologias no mapeamento digital pedológico detalhado e biblioteca espectral de solos do Brasil: desenvolvimento e aplicações
Beneficiário:José Alexandre Melo Demattê
Modalidade de apoio: Auxílio à Pesquisa - Temático
Processo FAPESP: 16/24794-4 - Variabilidade multitemporal do uso da terra e tipos de solos e sua influência na temperatura de superfície determinada via imagens de satélite
Beneficiário:Natasha Valadares dos Santos
Modalidade de apoio: Bolsas no Brasil - Iniciação Científica