Cadastral maps of irrigated areas by center pivots in the State of Minas Gerais, using CBERS-2B/CCD satellite imaging

Medium-resolution satellite images have been widely used for the identification and quantification of irrigated areas by center pivot. These areas, which present predominantly circular forms, can be easily identified by visual analyses of these images. In addition to identifying and quantifying areas irrigated by center pivot, other information that is associated to these areas is fundamental for producing cadastral maps. The goal of this work was to generate cadastral mapping of areas irrigated by center pivots in the State of Minas Gerais, Brazil, with the purpose of supplying information on irrigated agriculture. Using the satellite CBERS2B/CCD, images were used to identify and quantify irrigated areas and then associate these areas with a database containing information about: irrigated area, perimeter, municipality, path row, basin in which the pivot is located, and the date of image acquisition.3,781 center pivots systems were identified. The smallest area irrigated was 4.6 hectares and the largest one was 192.6 hectares. The total estimated value of irrigated area was 254,875 hectares. The largest number of center pivots appeared in the municipalities of Unaí and Paracatu, with 495 and 459 systems, respectively. Cadastral mapping is a very useful tool to assist and enhance information on irrigated agriculture in the State of Minas Gerais.

Mathematical model to estimate of the deterioration of wooden poles in contact with soil used in rural areas

In São Paulo State, mainly in rural areas, the utilization of wooden poles is observed for different purposes. In this context, wood in contact with the ground presents faster deterioration, which is generally associated to environmental factors and, especially to the presence of fungi and insects. With the use of mathematical models, the useful life of wooden structures can be predicted by obtaining "climatic indexes" to indicate, comparatively among the areas studied, which have more or less tendency to fungi and insects attacks. In this work, by using climatological data of several cities at São Paulo State, a simplified mathematical model was obtained to measure the aggressiveness of the wood in contact with the soil.

Detection of soybean planted areas through orbital images based on culture spectral dynamics

The soybean is important to the economy of Brazil, so the estimation of the planted area and the production with higher antecedence and reliability becomes essential. Techniques related to Remote Sensing may help to obtain this information at lower cost and less subjectivity in relation to traditional surveys. The aim of this study is to estimate the planted area with soybean culture in the crop of 2008/2009 in cities in the west of the state of Paraná, in Brazil, based on the spectral dynamics of the culture and through the use of the specific system of analysis for images of Landsat 5/TM satellite. The obtained results were satisfactory, because the classification supervised by Maximum Verisimilitude - MaxVer along with the techniques of the specific system of analysis for satellite images has allowed an estimate of soybean planted area (soybean mask), obtaining values ​​of the metrics of Global Accuracy with an average of 79.05% and Kappa Index over 63.50% in all cities. The monitoring of a reference area was of great importance for determining the vegetative phase in which the culture is more different from the other targets, facilitating the choice of training samples (ROIs) and avoiding misclassifications.

Analysis of land use and occupancy in permanent preservation areas according to the hydrography of Ribeirão Água Fria - Bofete, SP - Brazil

The use conflicts are determined by the inadequate occupations of the soil, as it is the case of soil occupation inside of permanent preservation areas. This study aimed to determine the classes of the soil use and if there are conflicts inside of permanent preservation areas along the drainage network of the Água Fria Stream watershed, located in Bofete city - São Paulo, Brazil. It locates geographically between the coordinates: 48°09'30" to 48°18'30" longitude WGr., 22°58'30" to 23°04'30" latitude S, with an area of 15242.84 ha. The map of soil use was elaborated through the interpretation directly in the computer screen of satellite digital image. In the orbital data, the study area is inserted in the quadrant A, of image TM/Landsat - 5, orbit 220, point 76, passage 9/8th/2007. The Geographical Information System used was CartaLinx. The conflict areas of the watershed were obtained from the crossing between the maps of soil use and of PPAs. The results allowed the conclusion that more than half of the area (51.09%) is occupied by pastures, reflex of sandy soils and low fertility. It was also verified that although almost half of the watershed is covered with some type of vegetation (48.78% of natural forest /reforestation), it has approximately a third of permanent preservation areas used inappropriately by pastures (88.15%), reforestation (10.42%) and exposed soil (1.43%), totaling 343.07ha of conflicting areas, in a total of 993.26 ha of PPAs.

Data mining techniques for identification of spectrally homogeneous areas using NDVI temporal profiles of soybean crop

The aim of this study was to group temporal profiles of 10-day composites NDVI product by similarity, which was obtained by the SPOT Vegetation sensor, for municipalities with high soybean production in the state of Paraná, Brazil, in the 2005/2006 cropping season. Data mining is a valuable tool that allows extracting knowledge from a database, identifying valid, new, potentially useful and understandable patterns. Therefore, it was used the methods for clusters generation by means of the algorithms K-Means, MAXVER and DBSCAN, implemented in the WEKA software package. Clusters were created based on the average temporal profiles of NDVI of the 277 municipalities with high soybean production in the state and the best results were found with the K-Means algorithm, grouping the municipalities into six clusters, considering the period from the beginning of October until the end of March, which is equivalent to the crop vegetative cycle. Half of the generated clusters presented spectro-temporal pattern, a characteristic of soybeans and were mostly under the soybean belt in the state of Paraná, which shows good results that were obtained with the proposed methodology as for identification of homogeneous areas. These results will be useful for the creation of regional soybean "masks" to estimate the planted area for this crop.

Crop residues on short-term CO2 emissions in sugarcane production areas

The proper management of agricultural crop residues could produce benefits in a warmer, more drought-prone world. Field experiments were conducted in sugarcane production areas in the Southern Brazil to assess the influence of crop residues on the soil surface in short-term CO2 emissions. The study was carried out over a period of 50 days after establishing 6 plots with and without crop residues applied to the soil surface. The effects of sugarcane residues on CO2 emissions were immediate; the emissions from residue-covered plots with equivalent densities of 3 (D50) and 6 (D100) t ha-1 (dry mass) were less than those from non-covered plots (D0). Additionally, the covered fields had lower soil temperatures and higher soil moisture for most of the studied days, especially during the periods of drought. Total emissions were as high as 553.62 ± 47.20 g CO2 m-2, and as low as 384.69 ± 31.69 g CO2 m-2 in non-covered (D0) and covered plot with an equivalent density of 3 t ha-1 (D50), respectively. Our results indicate a significant reduction in CO2 emissions, indicating conservation of soil carbon over the short-term period following the application of sugarcane residues to the soil surface.

Geostatistics and remote sensing methods in the classification of images of areas cultivated with citrus

This study compares the precision of three image classification methods, two of remote sensing and one of geostatistics applied to areas cultivated with citrus. The 5,296.52ha area of study is located in the city of Araraquara - central region of the state of São Paulo (SP), Brazil. The multispectral image from the CCD/CBERS-2B satellite was acquired in 2009 and processed through the Geographic Information System (GIS) SPRING. Three classification methods were used, one unsupervised (Cluster), and two supervised (Indicator Kriging/IK and Maximum Likelihood/Maxver), in addition to the screen classification taken as field checking.. Reliability of classifications was evaluated by Kappa index. In accordance with the Kappa index, the Indicator kriging method obtained the highest degree of reliability for bands 2 and 4. Moreover the Cluster method applied to band 2 (green) was the best quality classification between all the methods. Indicator Kriging was the classifier that presented the citrus total area closest to the field check estimated by -3.01%, whereas Maxver overestimated the total citrus area by 42.94%.

Produtividade de grãos verdes do feijão-caupi sob diferentes regimes hídricos

O objetivo deste trabalho foi avaliar a produtividade de grãos verdes, os componentes de produção e a eficiência do uso da água do feijão-caupi, sob regimes hídricos. O experimento foi conduzido na Embrapa Meio-Norte, em Teresina - PI, entre setembro e novembro de 2009. Foram avaliadas cinco lâminas de irrigação, estabelecidas com base em frações da evapotranspiração de referência (25; 50; 75; 100 e 125% da ETo), e as cultivares BRS Guariba e BRSParaguaçudefeijão-caupi. Aplicou-se a irrigação por sistema de aspersão convencional fixo. Utilizou-se o delineamento experimental de blocos ao acaso, com quatro repetições e parcelas subdivididas (cultivares). As máximas produtividades de grãos verdes, 2.937,3 kg ha-1 (BRS Guariba) e 2.492,9 kg ha-1 (BRS Paraguaçu), foram estimadas com as lâminas de irrigação de 354 mm e 423 mm, respectivamente. A máxima eficiência de uso da água para a produtividade de grãos verdes foi observada com as lâminas de 275 mm e 231 mm, para as cultivares BRS Paraguaçu e BRS Guariba, respectivamente. A cultivar BRS Guariba demonstrou melhor desempenho produtivo quando comparada com a cultivar BRS Paraguaçu.

Outlining precision boundaries among areas with different variability standards using magnetic susceptibility and geomorphic surfaces

There is an increasing demand for detailed maps that represent in a simplified way the knowledge of the variability of a particular area or region maps. The objective was to outline precision boundaries among areas with different accuracy variability standards using magnetic susceptibility and geomorphic surfaces. The study was conducted in an area of 110 ha, which identified three compartment landscapes based on the geomorphic surfaces model. To determinate pH, organic matter, phosphorus, potassium and magnesium, the total sand and clay, 514 soil samples were collected at depths of 0-0.20 m and 0.60-0.80 m. The sum of base, cationic exchange capacity and base saturation were calculated and the magnetic susceptibility was evaluated in the laboratory using a system based on a balance of analytical precision method. Geomorphic surfaces identification allowed setting specific management areas (locations with maximum homogeneity of soil attributes). The map of spatial variability of magnetic susceptibility can be used to validate the precise boundaries among geomorphic surfaces identified in the field and infer the variability of clay content and soil base saturation.

Identification of grain areas replaced by sugarcane and analysis of the relationship with family farming production in the state of Goiás

In Brazil, the State of Goiás is one of sugarcane expansion's frontiers to meet the growing demand for biofuels. The objective of this study was to identify the municipalities where there were replacement of annual crops (mainly grains) by sugarcane in the state of Goiás, as well as indicate correlations between the sugarcane expansion and the family farming production, in the period between 2005 and 2010. For this purpose, grains crop mask and sugarcane crop mask, obtained from satellite images, were intersected using geoprocessing techniques. It was also used IBGE data of sugarcane production and planted area, and data of family farming production linked with the National Food Acquisition Program (PAA), in relation to the number of cooperatives and family farmers. The crops masks and data tables of the National Food Acquisition Program were provided by National Food Supply Agency. There were 95 municipalities that had crops replacement, totaling 281,554 hectares of grains converted to sugarcane. We highlight the municipalities of Santa Isabel, Iaciara, Maurilândia, and Itapaci, where this change represented more than half of their agricultural areas. In relation to family farming, the sugarcane expansion in the state of Goiás has not affected their activities during the period studied.

IDENTIFICATION OF SUITABLE AREAS FOR IRRIGATED RICE CROPPING USING MODIS IMAGES AND HAND MODEL

ABSTRACT One of the most relevant activities of Brazilian economy is agriculture. Among the main crops in Brazil, rice is one of high relevance. The state of Rio Grande do Sul, in Southern Brazil, is responsible for 68.7% of domestic production (IBGE, 2013). The goal of this study was to develop a low-cost methodology with a regional scope to identify suitable areas for irrigated rice cropping in this state, using spectro-temporal behavior of vegetation index by means of MODIS images and HAND model. The rice-cropped area of this study was the southern half of the State. Using the HAND model, flood areas were mapped to identify irrigated rice cultivation. We used multi-temporal images of vegetation index from MODIS sensor, covering the period from August 2001 to May 2012. To assess the results, we used data collected in the fields and cropped area information from IBGE. The results showed that the proposed methodology was satisfactory, with Kappa 0.92 and global accuracy of 98.18%. As result, MODIS sensor data and flood areas delineation by means of HAND model generated the estimate irrigated rice area for the area of study.

Atividade da colinesterase plasmática como biomarcador de impacto ambiental em tartarugas verdes (Chelonia mydas) no litoral do Arquipélago de Fernando de Noronha, Pernambuco

Biomarcadores podem ser usados de forma preditiva, permitindo que sejam tomadas ações de controle antes que ocorram danos ambientais irreversíveis com consequências ecológicas severas, no entanto, espécies sentinelas são necessárias para avaliação desses marcadores. As tartarugas marinhas são consideradas espécies sentinelas quando acometidas por fibropapilomas, sendo sinalizadora do desequilíbrio ambiental marinho nas suas áreas de ocorrência. Com o objetivo de propor a determinação da atividade da colinesterase plasmática em tartarugas verdes (Chelonia mydas) como biomarcador, procedeu-se a determinação da atividade enzimática em animais saudáveis e em localidade de baixo impacto antrópico (Arquipélago de Fernando de Noronha, Pernambuco, Brasil) para servir como referência para comparação com animais capturados em locais de maior impacto antrópico. Ao todo foram analisadas amostras de plasma heparinizado de 35 animais capturados. Todas as amostras analisadas apresentaram alguma atividade enzimática de colinesterase plasmática. Os valores obtidos de colinesterase variaram de 162 a 379 UI/L, com média e desvio padrão de 216,4 ± 51,4 UI/L. Nos estudos de repetibilidade e reprodutibilidade obtiveram-se coeficientes de variação menor que 5% em todas as análises, portanto a metodologia analítica utilizada se mostrou confiável. A longevidade das tartarugas marinhas da espécie C. mydas, o comportamento alimentar, juntamente com o fato de possuirem atividade enzimática detectável podem indicar essa espécie como bioindicadora de exposição a poluentes que influenciam na atividade da colinesterase plasmática

Germinação de sementes aéreas e subterrâneas de Commelina benghalensis

O conhecimento dos mecanismos de reprodução de uma espécie de planta daninha, principalmente em relação à dormência e germinação de suas sementes, é de grande importância na determinação do método e da época ideal de seu controle. Com o objetivo de avaliar a germinação de sementes aéreas e subterrâneas de Commelina benghalensis, plantas desta espécie foram cultivadas em vasos, em casa de vegetação, nas condições de Viçosa, Estado de Minas Gerais, Brasil. Semente subterrânea grande (SSG) e semente aérea pequena (SAP) apresentaram o maior e o menor peso (8,81 e 1,90 mg/semente, respectivamente). Semente aérea grande (SAG) e semente subterrânea pequena (SSP) apresentaram pesos intermediários (3,65 e 3,51 mg/semente, respectivamente), porém semelhantes entre si. A data de coleta das sementes aéreas influenciou seu peso, observando-se, nas condições do experimento e no intervalo considerado (setembro a dezembro), maior peso de semente na primeira coleta (24/9/1999). A germinação das sementes aéreas não foi influenciada pelo tempo de armazenamento. Sementes aéreas pequenas germinaram melhor a 20-35 ºC, e as grandes, a 25 ºC. A germinação de sementes aéreas recém-colhidas variou de 7,50% em SAP a 21,67% em SAG/E (semente aérea grande com envoltório). O armazenamento por quatro meses aumentou a porcentagem de germinação de SAG e não alterou a de SAG/E e SAP. Sementes subterrâneas pequenas e grandes armazenadas por três meses apresentaram 32,5 e 92,5% de germinação, respectivamente. O aumento do tempo de armazenamento de três para seis meses diminuiu a porcentagem de germinação de SSG e SSP. O calor seco aumentou a porcentagem de germinação de SAG/E e SSP, não alterou a de SAG e SAP e diminuiu a de SSG. O grau de dormência diferiu muito entre os quatro tipos de sementes. A produção de sementes polimórficas com grandes diferenças no grau de dormência permite que C. benghalensis germine e se estabeleça nos mais diversificados ambientes e épocas do ano, o que dificulta o manejo desta espécie daninha.

Efeitos de quantidades de fitomassa de adubos verdes na supressão de plantas daninhas

Com o objetivo de avaliar as correlações entre a utilização de diferentes quantidades de fitomassa, incorporada ou na superfície do solo, dos adubos verdes amendoim-forrageiro (Arachis pintoi), crotalária (Crotalaria juncea) e feijão-guandu-anão (Cajanus cajan) na redução da emergência e produção de fitomassa seca das plantas daninhas capim-braquiária (Brachiaria decumbens), capim-colonião (Panicum maximum) e picão-preto (Bidens pilosa), foi instalado um experimento em casa de vegetação do Departamento de Produção Vegetal da ESALQ/USP-Piracicaba. O delineamento experimental utilizado foi o de blocos casualizados, com os tratamentos em quatro repetições, em esquema fatorial 3 x 6 x 3 x 2, sendo três adubos verdes (A. pintoi, C. juncea e C. cajan), seis quantidades de fitomassa (0; 0,5; 1; 2; 4; e 8 vezes a quantidade de adubo verde produzido pela média de campo), três plantas daninhas (B. decumbens, P. maximum e B. pilosa) e duas formas de distribuição da fitomassa dos adubos verdes (na superfície do solo e de 0 a 5 cm de profundidade). As características avaliadas durante a condução do experimento foram as seguintes: densidade de plantas daninhas/vaso e produção de fitomassa seca das plantas daninhas (g/vaso), determinadas aos 15 e aos 30 dias após a instalação do experimento. Os resultados permitiram concluir que a fitomassa dos adubos verdes, nas duas formas utilizadas, reduz significativamente as populações das plantas daninhas testadas. As correlações ocorrem de maneira distinta pelos diferentes adubos verdes, sendo o feijão-guandu-anão, de forma geral, o mais efetivo na supressão das plantas daninhas.

Efeito de adubos verdes na supressão de espécies de plantas daninhas

Este trabalho teve como objetivo avaliar o efeito de adubos verdes na supressão de plantas daninhas. O experimento foi instalado no Centro de Ciências Agrárias/UFSCar, localizado no município de Araras, São Paulo. O delineamento experimental foi de blocos ao acaso, em esquema fatorial (3 x 4 x 2), com quatro repetições, avaliando-se os efeitos de três quantidades de massa verde (40, 50 e 80 t ha-1) das espécies Crotalaria juncea, Canavalia ensiformis, Mucuna aterrima e Pennisetum glaucum, sob dois tipos de manejo (dispostas na superfície e incorporadas ao solo), na emergência e biomassa seca de duas espécies de plantas daninhas (Ipomoea grandifolia e Brachiaria decumbens).Adicionalmente, foram avaliadas testemunhas sem cobertura vegetal e amostras de solo coletadas de área com alta infestação de Panicum maximum. As avaliações foram feitas até os 30 dias após semeadura, determinando-se as plantas daninhas emergidas e a biomassa seca. M. aterrima foi a espécie mais eficiente na redução da germinação de I. grandifolia em todos os manejos utilizados. Para a espécie E. heterophylla, destacaram-se os tratamentos com P. glaucum e M. aterrima, principalmente quando se utilizaram 80 t ha-1 de biomassa, independentemente da forma de manejo. Para B. decumbens e P. maximum, as espécies P. glaucum e C. juncea foram as mais eficientes na redução da germinação.