Modis Images
Mostrando 1-12 de 41 artigos, teses e dissertações.
-
1. Methodology for classification of land use and vegetation cover using MODIS-EVI data
RESUMO Objetivou-se neste estudo verificar a aplicabilidade do uso de séries temporais do sensor MODIS-EVI para o mapeamento do uso do solo e cobertura vegetal no Bioma Pampa no Estado do Rio Grande do Sul. O período de estudo compreendeu os meses de junho de 2013 até junho de 2014. Os procedimentos incluíram a utilização de imagens do Sensor MODIS, da
Rev. bras. eng. agríc. ambient.. Publicado em: 14/10/2019
-
2. Seasonal dynamics of vegetation indices as a criterion for grouping grassland typologies
ABSTRACT: This study aimed to characterize the average seasonal pattern of the vegetation in southern grassland in Brazil, and the variability found in the time series of vegetation indices. It also sought to identify similarities in the seasonal pattern of different grassland typologies. Moderate Resolution Imaging Spectroradiometer (MODIS), Normalized Diff
Sci. agric. (Piracicaba, Braz.). Publicado em: 2019-02
-
3. Evaluation of OSEB and SEBAL models for energy balance of a crop area in a humid subtropical climate
ABSTRACT This study evaluated the adequacy of the One-Source Energy Balance (OSEB) and Surface Energy Balance Algorithm for Land (SEBAL) models to estimate evapotranspiration in grain growing areas with humid subtropical climate in Rio Grande do Sul, southern Brazil. The dataset was obtained from a micrometeorological station (Eddy Covariance) and MODIS (Mod
Bragantia. Publicado em: 01/11/2018
-
4. NDVI and meteorological data as indicators of the Pampa biome natural grasslands growth
ABSTRACT The present study aimed to characterize the dynamics of NDVI and meteorological conditions, relating both to the annual dynamics of biomass accumulation in natural pastures of the Pampa biome as a way of subsidizing growth modeling. Forage accumulation rate data from a long-term experiment, NDVI data from the MODIS images, and meteorological data me
Bragantia. Publicado em: 23/04/2018
-
5. Two approaches to calculate TVDI in humid subtropical climate of southern Brazil
ABSTRACT: Soybean crops occupy most areas in Rio Grande do Sul State and are highly dependent on rainfall since most of them are non-irrigated. Rainfall during the harvest period is often insufficient to meet the water demand, making water indicators an important tool for the crops. This study compared two approaches in the parameterization process of TVDI (
Sci. agric. (Piracicaba, Braz.). Publicado em: 2018-04
-
6. TVDI spatiotemporal pattern of a soybean growing area in humid subtropical climate
ABSTRACT The most southern Brazilian state, Rio Grande do Sul, is characterized by high crop yield and is, currently, the third leading soybean producer in the country. Therefore, agriculture is very important to the economy of the region. Because agriculture is highly dependent on variable weather parameters, the present study aimed to test the Temperature-
Bragantia. Publicado em: 2017-07
-
7. Vegetation loss and the 2016 Oropouche fever outbreak in Peru
BACKGROUND Oropouche virus causes Oropouche fever, an arboviral disease transmitted mainly by midges of the genus Culicoides and Culex mosquitoes. Clinical presentation of Oropouche fever in humans includes fever, headache, rash, myalgia, and in rare cases spontaneous bleeding and aseptic meningitis. Landscape change has been proposed as a driver of Oropouc
Mem. Inst. Oswaldo Cruz. Publicado em: 2017-04
-
8. Temporal profiles of vegetation indices for characterizing grazing intensity on natural grasslands in Pampa biome
ABSTRACT The Pampa biome is an important ecosystem in Brazil that is highly relevant to livestock production. The objective of this study was to analyze the potential use of vegetation indices to discriminate grazing intensities on natural grasslands in the Pampa biome. Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation In
Sci. agric. (Piracicaba, Braz.). Publicado em: 2016-08
-
9. Monitoramento das pastagens cultivadas no cerrado goiano a partir de imagens MODIS índices de vegetação (MOD13Q1) / Monitoring cultivated pastures in the Cerrado Goiano Image from MODIS vegetation index (MOD13Q1)
Cattle ranching is extremely important for the economy of Brazil. This activity is characterized by the intensive explotation of pastures, which occupy a vast area of the Brazilian territory, i.e. approximately 150 million hectares. Currently, Brazil is the largest meat exporter in the world. Concerning its biomes, this occupation occurs mainly in the Cerrad
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 27/03/2012
-
10. Mapeamento da área cultivada e estimativa do rendimento de grãos de arroz irrigado a partir de modelos agrometeorológicos-espectrais para o Rio Grande do Sul / Crop area mapping and crop rice yields estimation using agrometeorological-spectral models for Rio Grande do Sul state, Brazil
The objective of this study was to characterize the irrigated rice crop at Rio Grande do Sul State and to test a methodology to define the cultivated area and to estimate the grain yield through the adjustment of the agrometeorological-spectral models. The study was developed for the six rice-growing regions of Rio Grande do Sul. Data of the irrigated rice g
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 2012
-
11. Mudanças da cobertura e uso da terra decorrentes da expansão da cana-de-açúcar utilizando dados TM MODIS com análise orientada a objeto / Land use and land cover changes due the expansion of sugar cane using TM and MODIS data and object-based image analysis
O estudo da alteração da cobertura e uso da terra é importante para várias aplicações. Nesse tipo de estudo o uso de sensoriamento remoto e sistemas de informações geográficas é essencial. Entre as principais culturas agrícolas do país e de maior expansão, destaca-se a de cana-de-açúcar. Desse modo, esta pesquisa teve como objetivo o desenvolv
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 30/09/2011
-
12. Caracterização da influência de sistemas frontais sobre a qualidade da água do reservatório de Itumbiara, GO, utilizando dados de sensoriamento remoto e dados in situ / Characterization of frontal systems influence on water quality of Itumbiara reservoir, GO, Brazil, using remote sensing and in situ data
In addition to human activities the water quality in reservoirs is influenced by weather and climate forcings that determine spatial and temporal variations in these systems. Conventional techniques for water quality monitoring require large time and fund investments. The synoptic view of large areas and high temporal frequency remote sensing data provides a
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 21/09/2011