Remote sensing in forestry: Application to the Amazon region

The utilization of satellite remote sensing in forestry is reviewed with emphasis on studies performed for the Brazilian Amazon Region. Timber identification, deforestation, and pasture degradation after deforestation are discussed

INPE's crop survey program using combined LANDSAT and aircraft data

There are no author-identified significant results in this report

Collection of relevant results obtained with the Skylab images by the Institute for Space Research, INPE

There are no author-identified significant results in this report

Assessment of the damage caused by the frost of 1975 to coffee and wheat crops in the northwest of the state of Parana using LANDSAT images with automatic classification

There are no author-identified significant results in this report

Selection index and molecular markers in reciprocal recurrent selection in maize.

Reciprocal recurrent selection among full-sib families is one of the outstanding methodologies of maize improvement. since gains are possible in the per se and/or in cross population. Here the selection index proposed by Smith and Hazel was used in the cited methodology; besides. an additiolnal phase involving RAPD markers was introduced to preserve the genetic variability of the selected genotypes and identifv contaminants before their recombination. Multivariate techniques of grouping and discriminant analyses were used for this purpose. to assure the continuance of the improvement program and amplify the genetic distance between the populations Cimmyt and Piranão, which were used for an intervarietal hybrid. The molecullar technique proved useful to identifv contaminants and helpful in the choice of the genotypes to be recombined to maximize heterosis among populations. The technique can be included in recurrent selection programs, mainlv those that target the development of hybrids

Study of the possible usage of infrared photographic mapping to evaluate cultivated areas in Jardinopolis, SP

There are no author-identified significant results in this report

Variações no teor de umidade e caracterização de sementes e frutos de castanheira-do-brasil em itaúba, mato grosso

A castanheira-do-brasil (Bertholletia excelsa) pertence à família Lecythidaceae, é uma espécie florestal muito importante de exploração extrativista, possuindo sementes com alto valor nutricional e comercial e com variadas aplicações e mercado consumidor (MULLER et al., 1995). A castanheira é uma árvore de grande porte, podendo atingir 50 m de altura. Possui tronco retilíneo, cilíndrico e não possui galhos até a copa. Seu fruto é um pixídio lenhoso, que acomoda entre 10 à 25 amêndoas (sementes). Seu florescimento é anual e seus frutos desenvolvem-se no tempo de 14 a 15 meses, porém há uma carência de estudos que comprovem o real tempo de formação. A queda dos frutos geralmente acontece de outubro a fevereiro, dependendo da região, podendo ocorrer quedas tardias no mês de março (BORÉM et al.,2009). Um dos grandes problemas da exploração extrativista da castanha-do-brasil está no sistema de coleta empregado, devido às questões de contaminação por bactérias e fungos, principalmente os produtores de aflatoxina (BORÉM et al.,2009). Após a coleta, os ouriços muitas vezes são armazenados de forma indevida, sendo depositados em locais descobertos e em contado direto com o solo, propiciando a entrada de água no fruto. Dessa forma, o teor de umidade presente no fruto é elevado, beneficiando o desenvolvimento dos microrganismos e prejudicando a qualidade das sementes (SOUZA et al., 2004). O objetivo deste trabalho foi caracterizar frutos e sementes de castanheira-do-brasil coletados em floresta nativa no município de Itaúba, Mato Grosso, e quantificar a umidade destes no momento da coleta

Development and testing of a rural credit supervision system at the level of counties and rural properties utilizing remote sensing techniqes

Remote sensing techniques for supporting the rural credit supervision system were developed and tested. The test area comprised the counties of Aracatuba and Guararapes, located in the State of Sao Paulo. Aerial photography, LANDSAT images and topographic charts were used. Aerial photographs were extremely useful for the out lining of properties boundaries with financing of sugarcane plantations by the Banco do Brasil S.A.. The percentage of correctly interpreted sugarcane on LANDSAT images, considering the 85 analyzed properties, was of 63.12%. The occurrence of atypical conditions such as excessive raining, sugarcane in bloom, and wind damaged sugarcane and sugarcane not harvested due to planning failures verified during the period the images were obtained, were some of the contributing factors associated with a low interpretation performance. An alternative approach was developed using several LANDSAT overpasses and auxiliary field data, which resulted in 91.77 percent correct