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| Registros recuperados: 11 | |
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| SANCHES, I. D. A.; ANDRADE, R. G.; QUARTAROLI, C. F.; RODRIGUES, C. A. G.. |
| The present study has compared three methods of atmospheric correction, two dark object subtraction (DOS) methods and one method based on the fourth component of the tasseled cap transformation (TC4), to obtain reflectance and NDVI values of Landsat 5 ? TM satellite images. For each atmospheric correction method, reflectance and NDVI values of five targets (crop/pasture, forest, straw, bare soil and water) were analyzed in three images (Landsat path-row 222-75). The study area is localized in the west of Sao Paulo State, Brazil. The images were acquired on 29/10/2009, 02/02/2010 and 26/06/2010 with solar zenith angles of 28°, 34° and 55°, correspondingly. The TC4 was the only method which eliminated the haze in the image, but it is not recommended if the... |
| Tipo: Anais e Proceedings de eventos |
Palavras-chave: Subtração do pixel escuro; Transformação tasseled cap; Estudos multitemporais; Ângulo zenital.; Sensoriamento Remoto.. |
| Ano: 2011 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/902348 |
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| MONTIBELLER, B.; LUIZ, A. J. B.; SANCHES, I. D. A.; SILVEIRA, H. L. F. da. |
| Remote sensing data has been widely used worldwide to estimate crop field?s parameters such as area. For that purpose, we use automatic classification algorithms to identify different land uses and land covers (e.g. agricultural and native vegetation), groups of crops (e.g. annual and perennial crops) or crops species (e.g. maize, sugarcane or soybean). For agricultural applications, the ultimate goal is to be able to use remote sensing technology to map crops in the specie level, and then to monitor them. One essential input data used in the classifications algorithms is the spectral information of the ground targets (e.g. reflectance and vegetation indices). Therefore, it is important to know the spectral behavior of all targets. However, the ability of... |
| Tipo: Separatas |
Palavras-chave: Surface reflectance; Multitemporal data; Oli-Landsat-8; Agricultural monitoring; Reflectância de superfície; Dado multitemporal; Monitoramento agrícola; Sensoriamento remoto; Milho; Remote sensing. |
| Ano: 2017 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1084705 |
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| LUIZ, A. J. B.; SANCHES, I. D. A.; TRABAQUINI, K.; EBERHARDT, I. D. R.; FORMAGGIO, A. R.. |
| Abstract: In this study, the tracking of different types of agricultural land use was assessed over time using the overlap regions of adjacent Landsat Operational Land Imager (OLI) scenes. WRS-II scenes 219 e 220/75 were acquired between July and October 2014. In the same period, 55 georeferenced sites were visited monthly, to acquire information about their use and to photograph them. The study covered an area of 100 km long by 4 km wide along a highway in the mesoregion of Campinas, state of São Paulo, Brazil. The main agricultural crops in the state were present in this area, such as sugarcane, maize, soybean, eucalyptus, pastures, citrus; and over a dozen land uses were found. Several selected areas are irrigated by center pivot systems. In this short... |
| Tipo: Separatas |
Palavras-chave: Cropland identification; Change detection; Temporal resolution; Monitoramento; Identificação de culturas; Detecção de mudanças; Resolução temporal.; Sensoriamento remoto; Uso da terra; Remote sensing; Land use change; Cropland; Monitoring.. |
| Ano: 2015 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1035214 |
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| SCHULTZ, B.; LUIZ, A. J. B.; SANCHES, I. D. A.; FORMAGGIO, A. R.. |
| Abstract: A study has been carried out considering 18 years of papers published in the Simpósio Brasileiro de Sensoriamento Remoto (Brazilian Remote Sensing Symposium) related to the subject of satellite image classification. The aim of the study was to assess the degree of progress made in thematic mapping through developments in classification algorithms, different approaches (per-pixel or object-based) and methods (unsupervised and supervised). The result of 238 reported classification experiments were quantitatively analyzed through Kappa Index (KI) results. Several parameters were used to relate the experiments, as type of approach, method, number of samples and classes, used sensor system, etc. Overall, the results showed that no significant... |
| Tipo: Separatas |
Palavras-chave: Automatic classification; SBSR; Meta-análise; Classificação automática; Sensoriamento remoto; Remote sensing; Meta-analysis. |
| Ano: 2015 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1035208 |
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| SCHULTZ, B.; IMMITZER, M.; FORMAGGIO, A. R.; SANCHES, I. D. A.; LUIZ, A. J. B.; ATZBERGER, C.. |
| Abstract: Only well-chosen segmentation parameters ensure optimum results of object-based image analysis (OBIA). Manually defining suitable parameter sets can be a time-consuming approach, not necessarily leading to optimum results; the subjectivity of the manual approach is also obvious. For this reason, in supervised segmentation as proposed by Stefanski et al. (2013) one integrates the segmentation and classification tasks. The segmentation is optimized directly with respect to the subsequent classification. In this contribution, we build on this work and developed a fully autonomous workflow for supervised object-based classification, combining image segmentation and random forest (RF) classification. Starting from a fixed set of randomly selected and... |
| Tipo: Separatas |
Palavras-chave: Mapeamento agrícola; Segmentação multirresolução; OBIA; Crop mapping; Multi-resolution segmentation; OLI; Random forest.; Sensoriamento remoto; Remote sensing; Brazil.. |
| Ano: 2015 |
URL: http://dx.doi.org/10.3390/rs71114482 |
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| ANDRADE, D. D. de; SANCHES, I. D. A.. |
| Research conducted in forest fragments have contributed to the development of models for recovery of degraded areas, generating decrease deployment costs with increased efficiency, helping in forest management studies, and effectively preserving the remaining vegetation when considering the dynamics of regeneration compared to patterns of space occupation. The survey of the occupation history for the surrounding urban forest fragments located in the city of Campinas, São Paulo, Brazil, structured in a Geographical Information System (GIS), allowed to establish a classification which indicates the degree of vulnerability of these forests remnants based on the degree of deterioration of the landscape caused by the incidence of certain activities. The survey... |
| Tipo: Anais e Proceedings de eventos |
Palavras-chave: Patrimonios ambientais; Índice de vegetação; Vulnerabilidade. |
| Ano: 2011 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/902125 |
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| Registros recuperados: 11 | |
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