SABIIA - Sistema Aberto e Integrado de Informação em Agricultura (Sabiia)

SANCHES, I. D.; LUIZ, A. J. B.; EPIFHANIO, J. C. N..

2003

Avaliação espaço-temporal da cultura da cana-de-açúcar no oeste paulista.

Palavras-chave: Sensoriamento remoto; Processamento da informação; Programa de computador.

Ano: 2003

URL: http://www.alice.cnptia.embrapa.br/handle/doc/15159

TRABAQUINI, K.; SILVA, G. B. S. da; SANCHES, I. D.; NOGUEIRA, S. F.; DORTZBACH, D..

This work aims to analyze the dynamics of land use change by evaluating the spatio-temporal changes of sugarcane, verified in the period between 2000 and 2015, in the western portion of the São Paulo state. The study area includes parts of the municipalities of Andradina, Muritinga do Sul, Guaraçaí and Pereira Barreto, totaling an area of 1,115 km2. From a multitemporal series of Landsat satellite images of 30 m spatial resolution, the land use information was obtained for the sixteen years, using the Spring software. Land use and land cover maps were analyzed for each date, and the expansion of sugarcane activity in the region was verified, annually, for the period analyzed. As results, it was observed that sugarcane had an expansion in area between the...

Classificação orientada a objetos em imagens multitemporais ladsat aplicada na identificação de cana-de-açúcar e soja.

Palavras-chave: Uso do solo; Processamento de imagem; Paisagem; Land use; Image processing.

Ano: 2017

URL: http://www.alice.cnptia.embrapa.br/handle/doc/1073391

SCHULTZ, B.; FORMAGGIO, A. R.; EBERHARDT, I. D. R.; SANCHES, I. D.; OLIVEIRA, J. C. de; LUIZ, A. J. B..

Resumo: A presente pesquisa teve por objetivo avaliar a potencialidade de dados multitemporais Landsat para classificação de cana-de-açúcar e de soja, conjuntamente, quando realizada via Análise de Imagens Orientada a Objetos (OBIA/ Random Forest). Foi utilizado um segmentador multi-resolução (SM) para gerar os polígonos (objetos). Um conjunto de 500 segmentações foi criado pela variação dos parâmetros Fe (fator de escala), Fm (forma) e Cp (compacidade), e avaliado pelo Índice de Avaliação da Segmentação (IAVAS). Da segmentação que obteve menor IAVAS, foram extraídos os atributos espectrais das médias e desvios-padrão das bandas TM/Landsat-5 [setembro (S) e outubro (O) do ano 2000] e ETM+/Landsat-7 [fevereiro (F) e março (M) do ano 2001] dos objetos, e...

Cloud cover assessment for operational crop monitoring systems in tropical areas.

Palavras-chave: Segmentação; Mapeamento; Segmentation; IAVAS; Sugarcane and soybean mapping; Sensoriamento remoto; Imagem de satélite; Mapeamento; Cana de açucar; Soja.

Ano: 2016

URL: http://www.alice.cnptia.embrapa.br/handle/doc/1060377

EBERHARDT, I. D. R.; SCHULTZ, B.; RIZZI, R.; SANCHES, I. D.; FORMAGGIO, A. R.; ATZBERGER, C.; MELLO, M. P.; IMMITZER, M.; TRABAQUINI, K.; LUIZ, A. J. B.; FOSCHIERA, W..

Abstract: The potential of optical remote sensing data to identify, map and monitor croplands is well recognized. However, clouds strongly limit the usefulness of optical imagery for these applications. This paper aims at assessing cloud cover conditions over four states in the tropical and sub-tropical Center-South region of Brazil to guide the development of an appropriate agricultural monitoring system based on Landsat-like imagery. Cloudiness was assessed during overlapping four months periods to match the typical length of crop cycles in the study area. The percentage of clear sky occurrence was computed from the 1 km resolution MODIS Cloud Mask product (MOD35) considering 14 years of data between July 2000 and June 2014. Results showed high...

Detecção de áreas agrícolas em tempo quase real (DATQuaR).

Palavras-chave: Monitoramento agrícola; Clear sky coverage; Agriculture monitoring; Crop classification; MODIS; Sensoriamento remoto; Agricultura; Nuvem; Imagem de satélite; Remote sensing; Cloudiness.

Ano: 2016

URL: http://www.alice.cnptia.embrapa.br/handle/doc/1060359

EBERHARDT, I. D. R.; LUIZ, A. J. B.; FORMAGGIO, A. R.; SANCHES, I. D.; SCHULTZ, B.; TRABAQUINI, K..

Abstract: Nowadays the challenge in agricultural estimates using remote sensing is to produce the estimates and data across the crop season, in near real-time. The aim of this paper is to build an approach capable to produce the crop maps of soybean+maize in near real-time, for Rio Grande do Sul state, using MODIS images. To generate the near real-time crop maps we used the MODIS 16 days composites vegetation index (VI) images of NDVI and EVI. This new approach was called Near Real-Time Crop Fields Detection (DATQuaR). The MODIS VIs images were aggregated in bimonthly periods using different ways: average, maximum, minimum and median of registered values. After that, the image of the previous period was subtracted from the image of the monitored period,...

Determinação da fração de vegetação em parcelas de cana-de-açúcar a partir de imagens digitais utilizando o software Spring.

Palavras-chave: Mapas de cultivo de verão; MODIS; DATQuaR; Sensoriamento remoto; Estatística agrícola; Remote sensing; Statistics.

Ano: 2015

URL: http://www.alice.cnptia.embrapa.br/handle/doc/1035217

CAMPOS, R. C.; LUIZ, A. J. B.; SANCHES, I. D..

2003

Índice de cobertura verde para imagens de altíssima resolução.

Palavras-chave: Sensoriamento remoto; Processamento da informação.

Ano: 2003

URL: http://www.alice.cnptia.embrapa.br/handle/doc/15158

NEVES, M. C.; NEVES JÚNIOR, O. R.; LUIZ, A. J. B.; SANCHES, I. D..

The low altitude aerial images are becoming more common every day due to low cost and ease of use of platforms such as remotely piloted aircraft. The potential application of this type of data is very high. One example is the precision agriculture, a farming management concept based on observing, measuring and responding to inter and intra-field variability in crops, an activity than can greatly benefit from this technology. The low altitude of image acquisition allows very high level of scene details but aggravates problems such as lighting variation and image deformation. In addition, often common cameras are used in different situations altitude, inclination, lighting and camera setup. These specific characteristics in relation to the orbital data...

Lem benchmark database for tropical agricultural remote sensing application.

Palavras-chave: Image processing; Processamento de imagem; Visão computacional; Índice de área foliar; Agricultura; Sensoriamento remoto; Imagem de satélite; Remote sensing; Image analysis; Computer vision; Agriculture; Leaf area index.

Ano: 2017

URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1084549

SANCHES, I. D.; FEITOSA, R. Q.; ACHANCCARAY, P.; MONTIBELLER, B.; LUIZ, A. J. B.; SOARES, M. D.; PRUDENTE, V. H. R.; VIEIRA, D. C.; MAURANO, L. E. P..

Abstract: The monitoring of agricultural activities at a regular basis is crucial to assure that the food production meets the world population demands, which is increasing yearly. Such information can be derived from remote sensing data. In spite of topic?s relevance, not enough efforts have been invested to exploit modern pattern recognition and machine learning methods for agricultural land-cover mapping from multi-temporal, multi-sensor earth observation data. Furthermore, only a small proportion of the works published on this topic relates to tropical/subtropical regions, where crop dynamics is more complicated and difficult to model than in temperate regions. A major hindrance has been the lack of accurate public databases for the comparison of...

Mudança no uso da terra pela agricultura brasileira de 1990 a 2014.

Palavras-chave: Agricultura tropical; Free available database; Multispectral instrument; C-band SAR data; Agricultural mapping/monitoring; Double gropping systems; Sensoriamento remoto; Base de dados; Agricultura; Mapeamento.

Ano: 2018

URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1102815

LUIZ, A. J. B.; SANCHES, I. D.; NEVES, M. C..

In this work, we used data on area harvested and quantity produced from the three major Brazilian crops in the area: soybean, sugarcane and corn, provided by the IBGE Municipal Agricultural Research (PAM), for the period between 1990 and 2014, to evaluate the dynamics of agriculture in Brazil. The analysis focused on the increase in time and the change in the space occupied by the production. We used images of the sensors OLI and TM on board the Landsat-8 and Landsat-5 satellites, respectively, to exemplify changes in land use and land cover in selected areas. In 25 years, the combination of increased Brazilian agricultural productivity with the large-scale adoption of the safrinha or second crop season (intensification of agriculture) resulted in a 197%...

Perda na colheita do milho: quando a catação compensa?

Palavras-chave: Remote sensing; LUC; Agricultural dynamics; Sensoriamento remoto; Uso da terra; Agricultura; Remote sensing; Land use; Agriculture.

Ano: 2017

URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1084495

LUIZ, A. J. B.; SANCHES, I. D..

Estudo feito pela Faculdade de Tecnologia (FATEC) de Pompeia-SP estimou perdas na colheita mecânica do milho de alta tecnologia em até 12 sacas por hectare. A maior parte desta quantidade ocorria na forma de espigas inteiras, e não de grãos soltos. Nosso objetivo foi identificar em que situação o procedimento da catação - recuperação manual das espigas perdidas durante a colheita mecanizada - é lucrativo ou não para o produtor.

Processamento de imagens obtidas com câmara digital para determinação da fração de vegetação em parcelas de cana-de-açúcar.

Palavras-chave: Milho; Perda durante a colheita; Corn; Crop losses.

Ano: 2016

URL: http://www.alice.cnptia.embrapa.br/handle/doc/1056436

CAMPOS, R. C.; LUIZ, A. J. B.; ADAMI, M.; SANCHES, I. D.; FORMAGGIO, A. R..

2003

Spectral-temporal profile analysis of maize, soybean and sugarcane based on OLI/Landsat-8 data.

Palavras-chave: Sensoriamento remoto; Agricultura; Cana-de-açúcar.

Ano: 2003

URL: http://www.alice.cnptia.embrapa.br/handle/doc/15112

MONTIBELLER, B.; SANCHES, I. D.; LUIZ, A. J. B.; GONÇALVES, F.; AGUIAR, D. A. de.

Abstract: Remote sensing (RS) technology is a viable complementary alternative to current agriculture surveying methods. RS data spectral information is the main variable used for several purposes, such as crop type identification. However, different management practices (MP) adopted in crop cultivation may alter its spectral characteristics. The objective of this work is to analyze the spectral-temporal profile (STP) variation of soybean, maize and sugarcane cultivated under different MP. We used time series of the six spectral bands of the OLI/Landsat-8 sensor and of two vegetation indexes (VI) to investigate the intraspecific variation (same crop specie) and the interspecific variation (different crop species). We applied hierarchical cluster analyses...

Understanding the dynamic of tropical agriculture for remote sensing applications: a case study of Southeastern Brazil.

Palavras-chave: Agricultural dynamics; Variação interespecífica; Variação intraespecífica; Dinâmica agrícola; Análise de clusters; Índices de vegetação; Sensoriamento Remoto; Levantamento; Milho; Soja; Cana de Açúcar; Remote sensing; Interspecific variation; Intraspecific variation; Cluster analysis; Vegetation index.

Ano: 2019

URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1121366

SANCHES, I. D.; LUIZ, A. J. B.; MONTIBELLER, B.; SCHULTZ, B.; TRABAQUINI, K.; EBERHARDT, D. S.; FORMAGGIO, A. R.; MAURANO, L. E. P..

Abstract: The agricultural activity can greatly benefit from remote sensing technology (RS). Optical passive RS has been vastly explored for agricultural mapping and monitoring, in despite of cloud cover issue. This is observed even in the tropics, where frequency of clouds is very high. However, more studies are needed to better understand the high dynamism of tropical agriculture and its impact on the use of passive RS. In tropical countries, such as in Brazil, the use of current agricultural technologies, associated with favourable climate, allow the planting period to be wide and to have plants of varying phenological cycles. In this context, the main objective of the current study is to better understand the dynamics of a selected area in Southeast of...

Use of MSI/Sentinel-2 and airborne LiDAR data for mapping vegetation and studying the relationships with soil attributes in the Brazilian semi-arid region.

Palavras-chave: Satellite image; Optical sensor; Multispectral; RGB false composition; NDVI; Sensoriamento Remoto; Satélite; Agricultura; Satellites; Image analysis; Image interpretation; Tropical agriculture; Monitoring.

Ano: 2019

URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1116250

SILVEIRA, H. L. F. da; GALVÃO, L. S.; SANCHES, I. D.; SA, I. B.; TAURA, T. A..

The Caatinga is an important ecosystem in the semi-arid region of northeast Brazil and a natural laboratory for the study of plant adaptation to seasonal water stress or prolonged droughts. The soil water availability for plants depends on plant root depth and soil properties. Here, we combined for the first time the remote sensing classification of Caatinga physiognomies with soil information derived from geostatistical analysis to relate vegetation distribution with physico-chemical attributes of soils. We evaluated the potential of multi-temporal data acquired by the MultiSpectral Instrument (MSI)/Sentinel-2 for Random Forest (RF) classification of seven physiognomies. In addition, we analyzed the contribution of airborne LiDAR metrics to improve...

Using Landsat 8 image time series for crop mapping in a region of Cerrado, Brazil.

Palavras-chave: Caatinga; Vegetação Nativa; Revegetação; Cobertura Vegetal; Cobertura do Solo; Retenção de Água no Solo; Solo; Erosão do Solo; Relação Solo-Planta; Sensoriamento Remoto; Vegetation; Vegetation types; Ecosystems; Forest ecosystems.

Ano: 2018

URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1092966

BENDINI, H. do N.; SANCHES, I. D.; KÖRTING, T. S.; FONSECA, L. M. G.; LUIZ, A. J. B.; FORMAGGIO, A. R..

Abstract: The objective of this research is to classify agricultural land use in a region of the Cerrado (Brazilian Savanna) biome using a time series of Enhanced Vegetation Index (EVI) from Landsat 8 OLI. Phenological metrics extracted from EVI time series, a Random Forest algorithm and data mining techniques are used in the process of classification. The area of study is a region in the Cerrado in a region of the municipality of Casa Branca, São Paulo state, Brazil. The results are encouraging and demonstrate the potential of phenological parameters obtained from time series of OLI vegetation indices for agricultural land use classification.

Variabilidade espacial da fertilidade, carbono e nitrogênio do solo em áreas de pastagem e cana-de-açúcar no estado de São Paulo.

Palavras-chave: Sensoriamento remoto; Uso da terra; Cerrado; Mapeamento; Imagem de satélite; Vegetação; Land use; Remote sensing; Cerrado; Landsat.

Ano: 2016

URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1071280

MANJOLIN, R.; GREGO, C. R.; NOGUEIRA, S. F.; SILVA, G. B. S. da; TRABAQUINI, K.; SANCHES, I. D..

The spatial variability of soil and plant properties has been a concern of researchers, since the variation of any phenomenon in space or time, whether caused by natural processes or by man-imposed actions, has always existed and need considered. The objective was relate spatial variability of chemical attributes, including carbon and nitrogen, to pasture and sugarcane areas in the west of the state of São Paulo. A total of 36 points were sampled in the west of the state of São Paulo in areas of pasture and sugar cane. For each point were collected soil chemical data at depth of 0 cm to 30 cm in March 2015. For identification of spatial dependence, data interpolation and for the elaboration of the maps, the geostatistical analysis was used including...