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| Registros recuperados: 18 | |
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| Sarmiento,Christiany M.; Coltri,Priscila P.; Alves,Marcelo de C.; Carvalho,Luiz G. de. |
| ABSTRACT This study used spectral data integrated with the agrometeorological model by Doorenbos and Kassam to estimate soybean grain productivity in the state of Mato Grosso, Brazil. In the developed model, spectral data were used instead of meteorological data and biophysical parameters of the crop. For this purpose, the products of real and potential evapotranspiration (MOD16), normalized difference vegetation index – NDVI (MOD13Q1), and leaf area index (MOD15A2H) from the MODIS satellite were used, in addition to sunstroke data obtained by using the visible channel from the satellite GOES IMAGER. The results obtained showed that, with the proposed methodology, it was possible to follow the development of soybean cultivation throughout the cycle and to... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Geographic Information System; Mathematical Modeling; Remote Sensing; Agrometeorology; Crop Monitoring. |
| Ano: 2020 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000300405 |
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| 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 Many products are outdated around in 30 years in the several scales.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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| 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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| 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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| 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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| 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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| 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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| SPERANZA, E. A.; ESQUERDO, J. C. D. M.; SILVA, J. dos S. V. da; ANTUNES, J. F. G.; LOURENÇO, F. V.; CEZAR, V. M.. |
| The Interactive System for Environmental Licensing Support (SISLA) provides spatial data for environmental licensing in the state of Mato Grosso do Sul, both for private and governmental use. This paper describes the computational implementation of all modules from SISLA, as well as the methodology of NDVI/MODIS imagery processing and data inclusion in the system. SISLA is a Web Geographic Information System which aims to ease and accelerate the management and analysis of environmental licensing processes. Providing a geo-spatial database, SISLA performs useful analysis for environmental licensing decision making, confronting spatial information provided by producers and consultants with information of areas under protection provided by the Government of... |
| Tipo: Artigo de periódico |
Palavras-chave: Licenciamento ambiental; Geotecnologias; Consultas espaciais; Sistemas de informação geográfica.; Sensoriamento Remoto.; Geographic information systems; Remote Sensing. |
| Ano: 2011 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/895460 |
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| 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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| TEIXEIRA, A. H. de C.; LEIVAS, J. F.; RONQUIM, C. C.; VICTORIA, D. de C.. |
| São Paulo state, Brazil, has been highlighted by the sugarcane crop expansion. The actual scenario of climate and land use changes, bring attention for the large-scale water productivity (WP) analyses. MODIS images were used together with gridded weather data for these analyses. A generalized sugarcane growing cycle inside a crop land mask, from September 2011 to October 2012, was considered in the main growing regions of the state. Actual evapotranspiration (ET) is quantified by the SAFER (Simple Algorithm for Evapotranspiration Retrieving) algorithm, the biomass production (BIO) by the RUE (Radiation Use Efficiency) Monteith?s model and WP is considered as the ratio of BIO to ET. During the four generalized sugarcane crop phases, the mean ET values... |
| Tipo: Artigo de periódico |
Palavras-chave: Bioenergy crop.; Remote Sensing; Evapotranspiration; Biomass Production; Water Resources.. |
| Ano: 2016 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1048348 |
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| Registros recuperados: 18 | |
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