|
|
|
|
|
| Silva,Bernardo Barbosa da; Braga,Alexandra Chaves; Braga,Célia Campos; Oliveira,Leidjane Maria Maciel de; Galvíncio,Josiclêda Domiciano; Montenegro,Suzana Maria Gico Lima. |
| O objetivo deste trabalho foi mapear a evapotranspiração real (ETr) e determinar o volume de água utilizado no projeto de irrigação de São Gonçalo, PB, no Semiárido brasileiro, com auxílio do sensoriamento remoto. Foram adquiridas imagens TM/Landsat 5 da área em estudo, em 2008, que foram utilizadas na obtenção dos mapas temáticos da ETr diária. Selecionaram-se dois pomares de coqueiro‑anão para validação dos resultados da evapotranspiração obtida com o "surface energy balance algorithm for land" (ET Sebal) e com o método FAO‑56 (ET FAO). Para determinação da ET FAO, utilizou-se o produto entre o coeficiente de cultura, o coeficiente de ajuste e a evapotranspiração de referência. As diferenças obtidas, com uso das duas técnicas, resultaram em raiz do erro... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Albedo; Landsat 5; Saldo de radiação; Temperatura da superfície. |
| Ano: 2012 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2012000900006 |
| |
|
|
| Chagas,César da Silva; Carvalho Júnior,Waldir de; Pinheiro,Helena Saraiva Koenow; Xavier,Pedro Armentano Mudado; Bhering,Silvio Barge; Pereira,Nilson Rendeiro; Calderano Filho,Braz. |
| ABSTRACT: Planning sustainable use of land resources requires reliable information about spatial distribution of soil physical and chemical properties related to environmental processes and ecosystemic functions. In this context, cation exchange capacity (CEC) is a fundamental soil quality indicator; however, it takes money and time to obtain this data. Although many studies have been conducted to spatially quantify soil properties on various scales and in different environments, not much is known about interactions between soil properties and environmental covariates in the Brazilian semiarid region. The goal of this study was to evaluate the efficiency of random forest and cokriging models applied to predict CEC in the Brazilian semiarid region. The... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Data mining; Geostatistics; Landsat 5; Legacy data; Soil survey. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100311 |
| |
|
|
| Bernardi,Alberto C. de C.; Grego,Célia R.; Andrade,Ricardo G.; Rabello,Ladislau M.; Inamasu,Ricardo Y.. |
| ABSTRACT The knowledge of soil property spatial variability is useful for determining the rational use of inputs, such as the site-specific application of lime and fertilizer. The objective of this study was to evaluate the vegetation index and spatial variability of physical and chemical soil properties in an integrated crop-livestock system (ICLS). Soil samples were taken from a 6.9 ha area in a regular hexagon grid at 0-0.20 m depths. Soil P, K, Ca, Mg, and cation exchange capacity - CEC; base saturation; clay and sand were analyzed. Soil electrical conductivity (ECa) was measured with a contact sensor. The site was evaluated at the end of the corn season (April) and during forage production (October) using Landsat 5 images, remote sensing techniques... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Soil fertility; Soil electrical conductivity; VERIS; Landsat 5; NDVI. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662017000800513 |
| |
|
| |
|
|
|
