Consulta: subjectFacets:"Vegetation index"
Registros recuperados: 19
Data/hora: 10/06/2024 02:56:54

Marco metodológico de la estimación de rendimientos utilizando sensores remotos.
Provedor de dados: 32
Autores: Pascual Ramírez, Fermín.
El presente trabajo detalla el uso exclusivo de la información de reflectancia en la banda del Infrarrojo Cercano (IRC) como herramienta de análisis para el monitoreo del estado de desarrollo de los cultivos y la estimación de rendimientos. Comienza por analizar el comportamiento de la reflectancia del IRC con respecto a algunas variables biofísicas; posteriormente analiza la relación entre los Índices de Vegetación y el IRC, concluyendo que éste se puede utilizar en sustitución aquel sobre todo a partir de la etapa de crecimiento lineal. Se utiliza la información multitemporal de la reflectancia del IRC para la modelación de la curva de crecimiento, lo cual se realizó utilizando datos mediciones radiométricas y biofísicas en cinco cultivos. Basado en la...
Palavras-chave: Estimación de rendimientos; Modelación del desarrollo de cultivos; Reflectancia del IRC; Indices de vegetación; Estimating yields; Crop development modeling; NIR reflectance; Vegetation index; Hidrociencias; Doctorado.
Ano: 2011
URL: http://hdl.handle.net/10521/567

Alcances y limitaciones del uso de índices espectrales de la vegetación para la estimación de la evapotranspiración y biomasa en cultivos con diferentes densidades de follaje
Provedor de dados: 32
Autores: Odi Lara, María Magali.
En el presente trabajo fueron revisados los alcances y limitaciones de los índices  espectrales de la vegetación (IV) como herramienta para estimar evapotranspiración y  biomasa en cultivos con diferente densidad foliar (media: algodón, maíz, trigo y alta:  sorgo). Las relaciones entre las variables biofísicas y espectrales se analizaron dentro del  marco teórico de las líneas de igual vegetación (iso-IAF) en el espacio rojo-infra rojo  cercano, mediante IV (NDVIcp e IV_CIMAS) basados en la pendiente (b0) de las líneas  iso-IAF. El problema de rápida saturación de sus bandas evidencia sus limitaciones en  cultivos con alta densidad de follaje. Como alternativa se exploró el uso de una constante  aditiva (a0). La relación entre a0 y la fracción de cobertura...
Tipo: Tesis
Palavras-chave: Índices de vegetación; Densidad foliar; Sorgo; Evapotranspiración; Coeficiente de cultivo; FAO-56; Doctorado; Hidrociencias; Vegetation index; Leaf density; Sorghum; Crop-evapotranspiration; Crop- coefficient; FAO56-approach.
Ano: 2009
URL: http://hdl.handle.net/10521/1241

Marco metodológico de la estimación de rendimientos utilizando sensores remotos.
Provedor de dados: 32
Autores: Pascual Ramírez, Fermín.
El presente trabajo detalla el uso exclusivo de la información de reflectancia en la banda del Infrarrojo Cercano (IRC) como herramienta de análisis para el monitoreo del estado de desarrollo de los cultivos y la estimación de rendimientos. Comienza por analizar el comportamiento de la reflectancia del IRC con respecto a algunas variables biofísicas; posteriormente analiza la relación entre los Índices de Vegetación y el IRC, concluyendo que éste se puede utilizar en sustitución aquel sobre todo a partir de la etapa de crecimiento lineal. Se utiliza la información multitemporal de la reflectancia del IRC para la modelación de la curva de crecimiento, lo cual se realizó utilizando datos mediciones radiométricas y biofísicas en cinco cultivos. Basado en la...
Palavras-chave: Estimación de rendimientos; Modelación del desarrollo de cultivos; Reflectancia del IRC; Indices de vegetación; Estimating yields; Crop development modeling; NIR reflectance; Vegetation index; Hidrociencias; Doctorado.
Ano: 2011
URL: http://hdl.handle.net/10521/567

Tecnologías para ofrecer servicios de asesoramiento en riego.
Provedor de dados: 32
Autores: Espinosa Espinosa, José Luis.
La tarea de los sistemas de asesoramiento de riego suele ser costosa en recursos humanos y materiales por la necesidad de hacer un seguimiento intensivo en campo, en áreas extensas y se suele enfrentar al reto de transferir la información al usuario, agricultor o técnico, en la vía adecuada y en el momento oportuno. Asimismo, las nuevas tecnologías de observación de la tierra, ha contribuido a que millones de hectáreas sean monitoreadas mediante sensores a bordo de satélites siendo más eficaz el seguimiento en campo, ya que proporcionan imágenes de la superficie terrestre. De igual forma las tecnologías de la información, el internet y la telefonía móvil, permiten que la información generada por los sistemas de asesoramiento de riego, incluida la imagen...
Palavras-chave: Sensores remotos; Imágenes de satélite; Indice de vegetación; NDVI; Visor web; Remote sensing; Satellite imagery; Vegetation index; Web viewer; Hidrociencias; Maestría.
Ano: 2013
URL: http://hdl.handle.net/10521/2135

Spatial autocorrelation of ndvi and gvi indices derived from landsat/tm images for soybean crops in the western of the state of Paraná in 2004/2005 crop season
Provedor de dados: 70
Autores: Dalposso,Gustavo H.; Uribe-Opazo,Miguel A.; Mercante,Erivelto; Lamparelli,Rubens A. C.
This research aims at studying spatial autocorrelation of Landsat/TM based on normalized difference vegetation index (NDVI) and green vegetation index (GVI) of soybean of the western region of the State of Paraná. The images were collected during the 2004/2005 crop season. The data were grouped into five vegetation index classes of equal amplitude, to create a temporal map of soybean within the crop cycle. Moran I and Local Indicators of Spatial Autocorrelation (LISA) indices were applied to study the spatial correlation at the global and local levels, respectively. According to these indices, it was possible to understand the municipality-based profiles of tillage as well as to identify different sowing periods, providing important information to...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Spatial statistics of areas; Spatial correlation; Vegetation index.
Ano: 2013
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162013000300009

MANAGEMENT CLASS DELIMITATION IN A SOYBEAN CROP USING ORBITAL IMAGES
Provedor de dados: 70
Autores: Zanella,Marco A.; Queiroz,Daniel M. de; Valente,Domingos S. M.; Pinto,Francisco de A. de C.; Santos,Nerilson T.
ABSTRACT The delimitation of management classes is critical for successful precision agriculture. This process involves choosing the variables to use and analyzing the spatial variability of the variables. Thus, the objective of this study was to analyze the correlation between management class maps generated from orbital images and yield maps. A 95-hectare area of rainfed grain was evaluated. Yield maps were obtained for the 2015/2016 and 2016/2017 soybean crops. Orbital images were used from two dates for each crop to generate vegetation index maps. The spatial correlation between the vegetation indices and the yield maps was obtained using a bivariate Moran index. The delineated management classes were compared using the Kappa index. This study...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Precision agriculture; Vegetation index; Yield map.
Ano: 2019
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000500676

TEMPORAL VARIABILITY IN ACTIVE REFLECTANCE SENSOR-MEASURED NDVI IN SOYBEAN AND WHEAT CROPS
Provedor de dados: 70
Autores: Beneduzzi,Humberto M.; Souza,Eduardo G.; Bazzi,Claudio L.; Schenatto,Kelyn.
ABSTRACT: Optimization of N management is one of the great challenges to be overcome in grain production, as it is directly related to productivity and can also cause environmental damage. Precision agriculture aims to solve this problem by applying nitrogen fertilizer at varying rates. Reflectance sensors are instruments capable of estimating N needs in various crops, including grain crops. However, it is not clear how these sensors perform under varying solar radiation and cloud cover, due to a lack of research on their temporal variability. Thus, this study examined the temporal variability of the NDVI (normalized difference vegetation index), as measured by an active reflectance sensor, in both soybean and wheat crops. The NDVI data were collected...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Precision agriculture; Remote sensing; Vegetation index; NDVI.
Ano: 2017
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000400771

USING PASSIVE AND ACTIVE MULTISPECTRAL SENSORS ON THE CORRELATION WITH THE PHENOLOGICAL INDICES OF COTTON
Provedor de dados: 70
Autores: Souza,Heloisa B.; Baio,Fabio H. R.; Neves,Danilo C.
ABSTRACT: The investment in precision agriculture technologies has been growing as well the investment in vegetation index sensors with different types of data collection. This study aimed to evaluate the NDVI potential use obtained from passive and active multispectral sensors as phenological parameters indicator of cotton growth. The experiment was conducted in cultivated cotton fields during the harvest seasons of 2013/14 and 2014/15. The phenological variables analyzed in the field, were cotton plant height and number of branches per sampled cotton plant. The active sensors Crop Circle and Green Seeker were mounted on a manual support. The passive sensor Tetracam was installed on a support positioning the sensor at 4 m height from the ground. NDVI...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Vegetation index; Variability; Multispectral sensors.
Ano: 2017
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000400782

EVOLUTION OF CERRADO VEGETAL COVER ON A RIVER ISLAND BASED ON ORBITAL IMAGING DATA
Provedor de dados: 70
Autores: Carvalho,Daniel C. De; Pessoa,Mayara M. De L.; Pereira,Marcos G.; Delgado,Rafael C.
ABSTRACT This study aimed to assess vegetal cover evolution on a river island within the Ecological Station of (EEP), by remote sensing. For this purpose, Normalized Difference Vegetation Indexes were generated for Landsat 1 (1973) and Landsat 5 (1984, 1990, 2000 and 2011) images. Five landscape units were identified in the field: bare soil, Rough savanna, Typical savanna, Forested savanna and Evergreen dry woods. Only Forested savanna and Evergreen dry woods showed poor spectral splitting, being thus considered as a forestry complex. Changes throughout time have occurred in all units, with decreasing in bare soil areas (-2.56 ha year−1), Rough savanna (-0.66 ha year−1) and Typical savanna (-0.94 ha year−1) and with an increase in the Forested savanna...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Remote sensing; Environmental monitoring; Vegetation index.
Ano: 2016
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162016000601186

Sistema de análise temporal da vegetação: SATVeg.
Provedor de dados: 14
Autores: EMBRAPA INFORMÁTICA AGROPECUÁRIA.
O SATVeg - Sistema de Análise Temporal da Vegetação ? é uma ferramenta Web desenvolvida pela Embrapa Informática Agropecuária, destinada à observação de perfis temporais de índices vegetativos, que expressam as variações da biomassa vegetal na superfície terrestre ao longo do tempo, oferecendo apoio a atividades de monitoramento agrícola e ambiental.
Tipo: Fôlder / Folheto / Cartilha (INFOTECA-E)
Palavras-chave: Índice de vegetação; Vegetation index.
Ano: 2016
URL: http://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/1063350

Estudo de caso 7 - imagens aéreas na avaliação do vigor e estimativa de produtividade do algodoeiro na Fazenda Pamplona, Cristalina, GO.
Provedor de dados: 14
Autores: BRANDAO, Z. N.; GREGO, C. R.; ZONTA, J. H.
O objetivo deste trabalho foi avaliar a capacidade de índices de vegetação obtidos através de imagens do satélite Sentinel-2, por imagens aéreas de alta resolução e imagens RGB obtidas em VANTs, na estimativa da produtividade do algodoeiro no cerrado de Goiás, monitorando o vigor das plantas através da variabilidade espacial de dois IVs, o MPRI (Modified Photochemical Reflectance Index) e o NDVI (Normalized Difference Vegetation Index) em diferentes estádios fenológicos.
Tipo: Parte de livro
Palavras-chave: Algodoeiro; Índice de vegetação; Modified Photochemical Reflectance Index; Veículos aéreos não-tripulados; Agricultura de Precisão; Vegetation index; Normalized difference vegetation index; Precision agriculture; Unmanned aerial vehicles.
Ano: 2022
URL: http://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/1151323

Cropland area estimates using Modis NDVI time series in the state of Mato Grosso, Brazil
Provedor de dados: 86
Autores: Victoria,Daniel de Castro; Paz,Adriano Rolim da; Coutinho,Alexandre Camargo; Kastens,Jude; Brown,J. Christopher.
The objective of this work was to evaluate a simple, semi‑automated methodology for mapping cropland areas in the state of Mato Grosso, Brazil. A Fourier transform was applied over a time series of vegetation index products from the moderate resolution imaging spectroradiometer (Modis) sensor. This procedure allows for the evaluation of the amplitude of the periodic changes in vegetation response through time and the identification of areas with strong seasonal variation related to crop production. Annual cropland masks from 2006 to 2009 were generated and municipal cropland areas were estimated through remote sensing. We observed good agreement with official statistics on planted area, especially for municipalities with more than 10% of cropland cover (R²...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Cropland masks; Cultivated area; Fourier; Vegetation index.
Ano: 2012
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2012000900012

Predicting soil erosion using Rusle and NDVI time series from TM Landsat 5
Provedor de dados: 86
Autores: Carvalho,Daniel Fonseca de; Durigon,Valdemir Lucio; Antunes,Mauro Antonio Homem; Almeida,Wilk Sampaio de; Oliveira,Paulo Tarso Sanches de.
The objective of this work was to evaluate the seasonal variation of soil cover and rainfall erosivity, and their influences on the revised universal soil loss equation (Rusle), in order to estimate watershed soil losses in a temporal scale. Twenty-two TM Landsat 5 images from 1986 to 2009 were used to estimate soil use and management factor (C factor). A corresponding rainfall erosivity factor (R factor) was considered for each image, and the other factors were obtained using the standard Rusle method. Estimated soil losses were grouped into classes and ranged from 0.13 Mg ha-1 on May 24, 2009 (dry season) to 62.0 Mg ha-1 on March 11, 2007 (rainy season). In these dates, maximum losses in the watershed were 2.2 and 781.5 Mg ha-1 , respectively. Mean...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: C factor; Rainfall erosivity; Remote sensing; Soil loss; Vegetation index.
Ano: 2014
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2014000300215

Modis time series for irrigated-area mapping in hydrographic basins of the Brazilian Northeastern region
Provedor de dados: 86
Autores: Ide,Andre Keiiti; Baptista,Gustavo Macedo de Mello.
Abstract: The objective of this work was to evaluate the applicability of time series of the enhanced vegetation index (EVI), from the moderate resolution imaging spectroradiometer (Modis), in the mapping of irrigated areas in the Northeastern region of Brazil. Annual time series from 2006 to 2015 were classified with the iterative self-organizing data analysis technique (Isodata) algorithm, generating a binary map of irrigated and nonirrigated areas for each year. In the Sertão region, the classification showed an average kappa coefficient of 0.66, underestimating the irrigated area by 7.6%, compared with data of the 2006 agricultural census. In regions more humid than the Sertão, such as Agreste and Zona da Mata Nordestina, the methodology showed...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Agricultural and environmental planning; EVI; Remote sensing; Semiarid; Vegetation index; Water resources management.
Ano: 2018
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2018000100080

Spectral-temporal characterization of wheat cultivars through NDVI obtained by terrestrial sensors
Provedor de dados: 91
Autores: Cattani,Carlos E. V.; Garcia,Murilo R.; Mercante,Erivelto; Johann,Jerry A.; Correa,Marcus M.; Oldoni,Lucas V.
ABSTRACT Remote sensing applications in agriculture are presented as a very promising reality, but research is still needed for the correct use of spectral data. The objective of this study was to evaluate the spectral-temporal patterns of eleven wheat cultivars (Triticum aestivum L.). The experiment was conducted in Cascavel, PR, in the year 2014. With the help of the GreenSeeker and FieldSpec 4 terrestrial sensors, spectral signatures were determined and the temporal profiles of the Normalized Difference Vegetation Index (NDVI) were created. Statistical differences between wheat cultivars were analysed using analysis of variance (ANOVA) and Scott-Knott test. Grain yields obtained with INSEY (In-Season Estimate of Yield) factors were correlated. NDVI...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Vegetation index; Remote sensing; Growth stage.
Ano: 2017
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662017001100769

Spectral variables, growth analysis and yield of sugarcane
Provedor de dados: 63
Autores: Simões,Maurício dos Santos; Rocha,Jansle Vieira; Lamparelli,Rubens Augusto Camargo.
Spectral information is well related with agronomic variables and can be used in crop monitoring and yield forecasting. This paper describes a multitemporal research with the sugarcane variety SP80-1842, studying its spectral behavior using field spectroscopy and its relationship with agronomic parameters such as leaf area index (LAI), number of stalks per meter (NPM), yield (TSS) and total biomass (BMT). A commercial sugarcane field in Araras/SP/Brazil was monitored for two seasons. Radiometric data and agronomic characterization were gathered in 9 field campaigns. Spectral vegetation indices had similar patterns in both seasons and adjusted to agronomic parameters. Band 4 (B4), Simple Ratio (SR), Normalized Difference Vegetation Index (NDVI), and Soil...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: NDVI; Vegetation index; Biomass; Field spectroscopy; Temporal evolution.
Ano: 2005
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162005000300001

Applying the NDVI from satellite images in delimiting management zones for annual crops
Provedor de dados: 63
Autores: Damian,Júnior Melo; Pias,Osmar Henrique de Castro; Cherubin,Maurício Roberto; Fonseca,Alencar Zachi da; Fornari,Ezequiel Zibetti; Santi,Antônio Luis.
ABSTRACT: The utilization of Normalized Difference Vegetation Index (NDVI) data obtained through satellite images can technically improve the process of delimiting management zones (MZ) for annual crops, resulting in socio-economic and environmental benefits. The aim of this study was to compare delimited MZ, using crop productivity data, with delimited MZ using the NDVI obtained from satellite images in areas under a no-tillage system. The study was carried out in three areas located in the state of Rio Grande do Sul, Brazil. Three crop productivity maps, from 2009 to 2015, were used for each area, whereby the NDVI was calculated for each crop productivity map using images from the Landsat series of satellites. Descriptive and geostatistical analysis were...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Fuzzy c-means clustering; Productivity data; Aerial images; Vegetation index.
Ano: 2020
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162020000100101

HOW STRONG IS THE RELATIONSHIP BETWEEN RAINFALL VARIABILITY AND CAATINGA PRODUCTIVITY? A CASE STUDY UNDER A CHANGING CLIMATE
Provedor de dados: 42
Autores: SALIMON,CLEBER; ANDERSON,LIANA.
ABSTRACT Despite the knowledge of the influence of rainfall on vegetation dynamics in semiarid tropical Brazil, few studies address and explore quantitatively the various aspects of this relationship. Moreover, Northeast Brazil is expected to have its rainfall reduced by as much as 60% until the end of the 21st Century, under scenario AII of the IPCC Report 2010. We sampled and analyzed satellite-derived monthly rainfall and a vegetation index data for 40 sites with natural vegetation cover in Paraíba State, Brazil from 2001 to 2012. In addition, the anomalies for both variables were calculated. Rainfall variation explained as much as 50% of plant productivity, using the vegetation index as a proxy, and rainfall anomaly explained 80% of the vegetation...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Paraíba; Rainfall anomaly; Ecosystem productivity; Semiarid; Vegetation index.
Ano: 2018
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000502121

Algorithms of Expert Classification Applied in Quickbird Satellite Images for Land Use Mapping
Provedor de dados: 117
Autores: Perea,Alberto Jesús; Meroño,José Emilio; Aguilera,María Jesús.
The objective of this paper was the development of a methodology for the classification of digital aerial images, which, with the aid of object-based classification and the Normalized Difference Vegetation Index (NDVI), can quantify agricultural areas, by using algorithms of expert classification, with the aim of improving the final results of thematic classifications. QuickBird satellite images and data of 2532 plots in Hinojosa del Duque, Spain, were used to validate the different classifications, obtaining an overall classification accuracy of 91.9% and an excellent Kappa statistic (87.6%) for the algorithm of expert classification.
Tipo: Journal article
Palavras-chave: Expert classification; Vegetation index; Land cover; Object-based classification.
Ano: 2009
URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392009000300013