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Registros recuperados: 13
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Aplicação de rotinas morfológicas para detecção de redes de drenagem Ciências Agrárias
Leonardi, Fernando; Silva, Erivaldo Antônio da.
Brazil presents great deficiency in cartographic updating area. Many products are outdated around in 30 years in the several scales. A country that has the continental dimensions as Brazil needs have a solid cartographic base to take important decisions about urban planning and consequenting to administration of the territory. One way of updating the cartographic products is the combined use of remote sensing products and techniques of Digital Processing Images (DPI). Among many DPI tools, the Mathematical Morphology allied to the remote sensing data, is one alternative method used to minimize this problem. For the development of this work three images taken with the Landsat sensor was used, having draining net, as the interest features. In this paper was...
Tipo: Article Palavras-chave: Sensoriamento Remoto; Remote Sensing; PDI; Detecção de Feições; Morfologia Matemática; Mathematical Morphology; Features of detection.
Ano: 2007 URL: http://hdl.handle.net/2315/97
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Dynamic Change Analysis of Urban Green Land in Jinan City Based RS and Geo-information Tupu AgEcon
Xu, Qiu-xiao.
The three-period (1995, 1998 and 2003) remote sensing images in Jinan City, China are selected. And the information of green land, construction land, woodland and water body is extracted by using the image processing module of remote-sensing software and computerized interpretation module. Both the change table and transfer matrix table of land use area are analyzed by modeling module of remote-sensing software. Then, the Geo-information Tupu is obtained; and the temporal and spatial variation of land use in Jinan City is monitored and analyzed by Geo-information Tupu and transfer matrix. Result shows that land use structure change of Jinan City in the years 1995-1998 shows a transformation from green land to construction land. Area of green land...
Tipo: Journal Article Palavras-chave: Remote Sensing; Geo-information tupu; Dynamic change of the green land; Jinan; China; Agribusiness.
Ano: 2011 URL: http://purl.umn.edu/108419
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Estimating Stand Height and Tree Density in Pinus taeda plantations using in-situ data, airborne LiDAR and k-Nearest Neighbor Imputation Anais da ABC (AABC)
SILVA,CARLOS ALBERTO; KLAUBERG,CARINE; HUDAK,ANDREW T.; VIERLING,LEE A.; LIESENBERG,VERALDO; BERNETT,LUIZ G.; SCHERAIBER,CLEWERSON F.; SCHOENINGER,EMERSON R..
ABSTRACT Accurate forest inventory is of great economic importance to optimize the entire supply chain management in pulp and paper companies. The aim of this study was to estimate stand dominate and mean heights (HD and HM) and tree density (TD) of Pinus taeda plantations located in South Brazil using in-situ measurements, airborne Light Detection and Ranging (LiDAR) data and the non- k-nearest neighbor (k-NN) imputation. Forest inventory attributes and LiDAR derived metrics were calculated at 53 regular sample plots and we used imputation models to retrieve the forest attributes at plot and landscape-levels. The best LiDAR-derived metrics to predict HD, HM and TD were H99TH, HSD, SKE and HMIN. The Imputation model using the selected metrics was more...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Forest inventory; LiDAR metrics; K-NN Imputation; Remote Sensing.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000100295
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Estudo do Comportamento Espectral das Principais Classes de Cobertura d Solo do Vale do Paraíba e Relação com o Índice de Área Foliar Ciências Agrárias
Batista, Getulio.
Proposta de pesquisa para suporte à Iniciação Científica.
Tipo: Article Palavras-chave: Sensoriamento Remoto; Remote Sensing; Espectroscopia; Comportamento espectral; Radiometria de campo; Radiometer.
Ano: 2006 URL: http://hdl.handle.net/2315/45
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Fusion of High Spatial Resolution with Extended Spectral Resolution Bands of CBERS Satellite Sensors for Land Use Survey Ciências Agrárias
Batista, Getulio Teixeira; Catelani, Celso de Souza.
Trabalho aceito para apresentação no 2nd. International Conference on Computing, Communication and Control Technologies: CCCT'04
Tipo: Article Palavras-chave: Image Analysis; Remote Sensing.
Ano: 2004 URL: http://hdl.handle.net/2315/147
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High spatial resolution land use and land cover mapping of the Brazilian Legal Amazon in 2008 using Landsat-5/TM and MODIS data Acta Amazonica
ALMEIDA,Cláudio Aparecido de; COUTINHO,Alexandre Camargo; ESQUERDO,Júlio César Dalla Mora; ADAMI,Marcos; VENTURIERI,Adriano; DINIZ,Cesar Guerreiro; DESSAY,Nadine; DURIEUX,Laurent; GOMES,Alessandra Rodrigues.
ABSTRACT Understanding spatial patterns of land use and land cover is essential for studies addressing biodiversity, climate change and environmental modeling as well as for the design and monitoring of land use policies. The aim of this study was to create a detailed map of land use land cover of the deforested areas of the Brazilian Legal Amazon up to 2008. Deforestation data from and uses were mapped with Landsat-5/TM images analysed with techniques, such as linear spectral mixture model, threshold slicing and visual interpretation, aided by temporal information extracted from NDVI MODIS time series. The result is a high spatial resolution of land use and land cover map of the entire Brazilian Legal Amazon for the year 2008 and corresponding calculation...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Remote Sensing; Tropical Deforestation; TerraClass; Image Processing.
Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672016000300291
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Hyperspectral remote sensing as an alternative to estimate soil attributes Rev. Ciênc. Agron.
Demattê,José A. M.; Alves,Marcelo Rodrigo; Gallo,Bruna Cristina; Fongaro,Caio T.; Souza,Arnaldo Barros e; Romero,Danilo Jefferson; Sato,Marcus Vinicius.
Minimizing environmental impacts and increasing crop productivity depend mainly on the knowledge of chemical, physical and mineralogical characteristics of the soil attributes. However, traditional methods are timeconsuming and costly. The objective of this study was to determine and validate a method to quantify soil attributes using UV-Vis-NIR Spectroscopy as an alternative to conventional methods of soil analyses. The work comprised two main phases: (1) creation and calibration of statistical models to determine the soil attributes derived from spectral data extracted from soil samples collected in area 1, (2) validation of statistical models in area 2 and correlations between the estimated and observed values (conventional method) for each soil...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Reflectance; Soil analysis; Remote Sensing.
Ano: 2015 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902015000200223
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Modeling and mapping basal area of Pinus taeda L. plantation using airborne LiDAR data Anais da ABC (AABC)
SILVA,CARLOS A.; KLAUBERG,CARINE; HUDAK,ANDREW T.; VIERLING,LEE A.; FENNEMA,SCOTT J.; CORTE,ANA PAULA D..
ABSTRACT Basal area (BA) is a good predictor of timber stand volume and forest growth. This study developed predictive models using field and airborne LiDAR (Light Detection and Ranging) data for estimation of basal area in Pinus taeda plantation in south Brazil. In the field, BA was collected from conventional forest inventory plots. Multiple linear regression models for predicting BA from LiDAR-derived metrics were developed and evaluated for predictive power and parsimony. The best model to predict BA from a family of six models was selected based on corrected Akaike Information Criterion (AICc) and assessed by the adjusted coefficient of determination (adj. R²) and root mean square error (RMSE). The best model revealed an adj. R²=0.93 and RMSE=7.74%....
Tipo: Info:eu-repo/semantics/article Palavras-chave: Forest Inventory; LiDAR metrics; Multiple Linear Regression; Remote Sensing.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652017000401895
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Novel Image Classification technique using Particle Filter Framework optimised by Multikernel Sparse Representation BABT
N. R,Bhuvaneswari; V.G,Sivakumar.
ABSTRACT The robustness and speed of image classification is still a challenging task in satellite image processing. This paper introduces a novel image classification technique that uses the particle filter framework (PFF)-based optimisation technique for satellite image classification. The framework uses a template-matching algorithm, comprising fast marching algorithm (FMA) and level set method (LSM)-based segmentation which assists in creating the initial templates for comparison with other test images. The created templates are trained and used as inputs for the optimisation. The optimisation technique used in this proposed work is multikernel sparse representation (MKSR). The combined execution of FMA, LSM, PFF and MKSR approaches has resulted in a...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Multikernel Sparse Representation; Image Classification; Sparse Learning; Level Set Method; Particle Filter Framework; Remote Sensing.
Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132016000300606
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Relationship of Bidirectional Reflectance of Wheat with Biophysical Parameters and its Radiative Transfer Modeling using PROSAIL Eprints@IARI
Barman, D; Sehgal, V K; Sahoo, R N; Nagarajan, Shantha.
The algorithms for deriving vegetation biophysical parameters rely on the understanding of bi-directional interaction of radiation and its subsequent linkages with canopy radiative transfer models and their inversion. In this study, an attempt has been made to define the geometry of sensor and source position to best relate plant biophysical parameters with bidirectional reflectance of wheat varieties varying in canopy architecture and to validate the performance of PROSAIL (PROSPECT+SAIL) canopy radiative transfer model. A field experiment was conducted with two wheat cultivars varying in canopy geometry and phenology. The bidirectional measurements between 400nm-1100nm at 5nm interval were recorded every week at six view azimuth and four view zenith...
Tipo: Article Palavras-chave: Agricultural Physics; Agricultural Engineering; Crop Physiology; Remote Sensing.
Ano: 2010 URL: http://eprints.iari.res.in/197/1/VKS_Barman_JISRS_38_2010.pdf
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Spatial Variability of Groundwater Depth and Quality Parameters in the National Capital Territory of Delhi Eprints@IARI
Dash, J P; Sarangi, A; Singh, D K.
The groundwater quantity and quality scenario is of much concern in the National Capital Territory of Delhi, India, which necessitates an investigation to envis- age the extent of spatial variability of groundwater depth and pollutant concentration levels in this region. Therefore, in this study, an effort was made to generate the spatial variability map of groundwater depth and quality parame- ters (viz. chloride, electrical conductivity, fluoride, mag- nesium, and nitrate). Ordinary kriging was used to analyze the spatial variability of groundwater depth and quality parameters, whereas indicator kriging was used to analyze groundwater quality parameters equal to or greater than the pollution threshold values. It was observed that the semi- variogram...
Tipo: Article Palavras-chave: Agricultural Engineering; Remote Sensing; Water Resource Engineering.
Ano: 2010 URL: http://eprints.iari.res.in/88/1/Sarangi-JD-ENM.pdf
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Uso de técnicas de la información para estimar parámetros estratégicos en la operación de los distritos de riego. Colegio de Postgraduados
Caballero Luis, Josafat.
Mediante el presente trabajo se propone el uso de técnicas de la información para estimar parámetros estratégicos en la operación de los distritos de riego a través del uso de sistemas de información geográfica y técnicas de percepción remota, debido a que la CONAGUA cada vez dispone de poco personal técnico y requiere la toma de decisiones oportunas en la administración del agua disponible. Para esto, se analizaron algunos estudios de casos en donde éstos sistemas ya fueron aplicados en ciertos distritos de riego como el manejo y actualización del padrón de usuarios, el inventario de infraestructura, la caracterización de suelos agrícolas, la estimación de superficie sembrada, de la producción agrícola y de la evapotranspiración. Los avances obtenidos...
Palavras-chave: Distritos de Riego; Sistema de Información Geográfica; Percepción Remota; Agricultura de Precisión; Indices de Vegetación; Irrigation Districts; Geographic Information System; Remote Sensing; Precision Agriculture; Vegetation Index; Hidrociencias; Maestría Tecnológica.
Ano: 2013 URL: http://hdl.handle.net/10521/2057
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稻株含氮量多光譜影像遙測系統之研究 Taiwan Agricultural Research Institute
陳世銘; 黃竣吉; 楊智凱; 陳加增; 黃政偉; 吳德輝; 蔡養正; 繆八龍; Suming Chen; Chun-Chi Huang; Chih-Kai Yang; Chia-Tseng Chen; Cheng-Wei Huang; Te-Hui Wu; Yang-Zenq Tsai; Pa-Lung Miao.
[[abstract]]本研究以多光譜影像遙測技術為基礎,自行開發出稻株含氮量多光譜影像遙測系統。在硬體研製整合上,稻株含氮量多光譜影像遙測系統成功結合多光譜影像擷取系統、定位系統及多功能田問載具系統。在軟體開發上,利用Mierosoft VisualC++ 6.0進行程式撰寫,並與Matlab 6.0及ArcView 3.1 整合,功能包含多光譜影像之擷取、定位訊號之擷取、定位訊號之座標轉換、地理資訊系統、多光譜影像分析、迴歸分析及等高線繪製。本研究採用即時動態衛星定位系統(RTK-GPS ) ,靜態定位精度分析指出x 方向(東西)最大誤差為2.5177公分,Y方向(南北)最大誤差為2.3573 公分,顯示RTK-GPS具有極準確的定位精度,利用此遙測系統提供量測平台,以便建立之水稻含氮量多光譜影像檢量模式,對於92年一期作之台農67號水稻,採用555、680及780nm三個波長進行檢量模式分析,可得到rc=0.7667 、SEC= 0.1958、rp =0.7085、SEP=0.2252之最佳結果。對於92 年一期作之台梗14 號水稻,採用555、680 及780nm三個波長進行檢量模式分析,可得到rc=0.8032、SEC =0.1441、rp=0.7285 、SEP=0.1734之最佳結果。本研究所開發之稻株含氮量多光譜影像遙測系統,能夠以非接觸、非破壞方式擷取水稻之多光譜影像,並藉由自行開發之軟體進行分析,最後輸出水稻田區之含氮量分佈圖,提供施肥的依據,為精準農業提供一套有效且準確的遙測系統。 This study is aimed to develop a multi-spectral remote imaging system to measure the nitrogen content...
Palavras-chave: 多光譜影像; 水稻; 遙測; 即時動態定位系統; 精準農業 水稻精準農業體系 Multi-Spectral Imaging; Rice; Remote Sensing; RTK-GPS; Precision Agriculture Rice Precision Farming System [[classification]]8.
Ano: 2003
Registros recuperados: 13
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