Automatic classification of reforested Pinus SPP and Eucalyptus SPP in Mogi-Guacu, SP, Brazil, using LANDSAT data

The author has identified the following significant results. Single date LANDSAT CCTs were processed, by Image-100 to classify Pinus and Eucalyptus species and their age groups. The study area Mogi-Guagu was located in the humid subtropical climate zone of Sao Paulo. The study was divided into ten preliminary classes and featured selection algorithms were used to calculate Bhattacharyya distance between all possible pairs of these classes in the four available channels. Classes having B-distance values less than 1.30 were grouped in four classes: (1) class PE - P. elliottii, (2) class P0 - Pinus species other than P. elliotii, (3) class EY - Eucalyptus spp. under two years, and (4) class E0 - Eucalyptus spp. more than two years old. The percentages of correct classification ranged from 70.9% to 94.12%. Comparisons of acreage estimated from the Image-100 with ground truth data showed agreement. The Image-100 percent recognition values for the above four classes were 91.62%, 87.80%, 89.89%, and 103.30%, respectively

Propagation data at 20/40 GHz and the propagation needs of Milstar

There are a number of propagation issues that need further investigation for efficient system planning for EHF communication systems. Especially needed are better cloud and rain characterizations. A method for estimating one of the rain induced effects of interest, outage duration, is presented

Monitoramento e detecção de desmatamento no bioma Cerrado matogrossense utilizando imagens de multisensores.

In the last decades, Brazil has become a global agricultural power and the Cerrado biome (Brazilian savanna) has been playing an important role in the Brazilian agriculture growth. To better analyze the biome human disturbance dynamics, it is necessary to develop and adopt effective methods of assessment and monitoring of land use and land cover changes. The goal is to provide adequate land cover classifications and implement an operational monitoring system in the Cerrado biome, since there is only a few attempts to control the degradation of this biome. This monitoring system can be accomplished using MODIS images, as this sensor has great potential for studies about the seasonal dynamics of Cerrado vegetation phytophysiognomies. Due to this new dynamics, the main objective of this work was to apply the PRODES and DETER like methodologies to detect and map deforestation in the Cerrado biome of Mato Grosso State, Brazil, using Landsat and MODIS data. The proposed methodology was able to detect correctly 65% of all MODIS detected polygons; this represented 74% of estimated area of deforestation. Also, it showed suitability to identify new deforested areas in both shrubland and forestland areas with a tendency to misclassify smaller polygons (< 50 ha) of deforestation

Nucleotide Frequencies in Human Genome and Fibonacci Numbers

This work presents a mathematical model that establishes an interesting connection between nucleotide frequencies in human single-stranded DNA and the famous Fibonacci's numbers. The model relies on two assumptions. First, Chargaff's second parity rule should be valid, and, second, the nucleotide frequencies should approach limit values when the number of bases is sufficiently large. Under these two hypotheses, it is possible to predict the human nucleotide frequencies with accuracy. It is noteworthy, that the predicted values are solutions of an optimization problem, which is commonplace in many nature's phenomena.Comment: 12 pages, 2 figure

Bandas sintéticas derivadas de modelo de mistura espectral na avaliação da dinâmica da paisagem em assentamento rural na fronteira agrícola amazônica.

Cópia de trabalho editado em CD-ROM

Caracterização das unidades da paisagem em ambiente de floresta tropical por meio de imagens-fração MESMA.

O objetivo deste trabalho foi discriminar classes de uso e cobertura da terra por meio de imagens-fração derivadas do modelo múltiplo de mistura espectral (multiple endmember spectral mixture analysis - MESMA), considerando as diferentes formações florestais e sistemas agropecuários na FLONA Tapajós e seu entorno, com vistas à caracterização dos principais padrões da paisagem na região

Potencial das áreas disponíveis ao cultivo de biomassa para produção de energia, nas Microrregiões Sulriograndenses de Cerro Largo, Santa Rosa e Santo Ângelo.

Despite a kind of euphoria represented by the biomass farming to energy and its transformation into biofuels, it must weigh up the suitability and the convenience of the conversion of arable land and the new agricultural frontiers in areas intended for agroenergy, not only in economic and agronomic terms, but also considering the commitments of environmental and social sustainability. In this scenario, the agroenergy planning has a great importance for the tropical developing countries, like Brazil. Thus, this article aims to present an objective and semiautomatic method, based on geotechnologies, which could be applied to a given region of interest to return the available areas with potential to energy crops. As a result, is presented a map of three micro regions of Rio Grande do Sul state (Brazil), where this approach was tested, for identifying and quantifying the territories at different levels of agroenergetic potential