1,055 research outputs found
Use of LANDSAT data for automatic classification and area estimation of sugarcane plantation in Sao Paulo state, Brazil
Ten segments of the size 20 x 10 km were aerially photographed and used as training areas for automatic classifications. The study areas was covered by four LANDSAT paths: 235, 236, 237, and 238. The percentages of overall correct classification for these paths range from 79.56 percent for path 238 to 95.59 percent for path 237
Rise in the frequency of cloud cover in LANDSAT data for the period 1973 to 1981
Percentages of cloud cover in LANDSAT imagery were used to calculate the cloud cover monthly average statistic for each LANDSAT scene in Brazil, during the period of 1973 to 1981. The average monthly cloud cover and the monthly minimum cloud cover were also calculated for the regions of north, northeast, central west, southeast and south, separately
Heuristic for estimation of multiqubit genuine multipartite entanglement
For every N-qubit density matrix written in the computational basis, an
associated "X-density matrix" can be obtained by vanishing all entries out of
the main- and anti-diagonals. It is very simple to compute the genuine
multipartite (GM) concurrence of this associated N-qubit X-state, which,
moreover, lower bounds the GM-concurrence of the original (non-X) state. In
this paper, we rely on these facts to introduce and benchmark a heuristic for
estimating the GM-concurrence of an arbitrary multiqubit mixed state. By
explicitly considering two classes of mixed states, we illustrate that our
estimates are usually very close to the standard lower bound on the
GM-concurrence, being significantly easier to compute. In addition, while
evaluating the performance of our proposed heuristic, we provide the first
characterization of GM-entanglement in the steady states of the driven Dicke
model at zero temperature.Comment: 19 pages, 5 figure
Remote sensing applied to agriculture: Basic principles, methodology, and applications
The general principles of remote sensing techniques as applied to agriculture and the methods of data analysis are described. the theoretical spectral responses of crops; reflectance, transmittance, and absorbtance of plants; interactions of plants and soils with reflectance energy; leaf morphology; and factors which affect the reflectance of vegetation cover are dicussed. The methodologies of visual and computer-aided analyses of LANDSAT data are presented. Finally, a case study wherein infrared film was used to detect crop anomalies and other data applications are described
MĆ©todo EPS para manejo da irrigaĆ§Ć£o de forrageiras.
bitstream/CPPSE-2010/19159/1/PROCICircT63FCM2009.00422.pd
Use of LANDSAT data for estimating the area of sugar cane in the state of Sao Paulo
There are no author-identified significant results in this report
ExperimentaĆ§Ć£o participativa no Ć¢mbito do programa Brasil Sem MisĆ©ria no territĆ³rio da cidadania do agreste de Alagoas.
A Embrapa Tabuleiros Costeiros vem desenvolvendo desde 2012 a construĆ§Ć£o participativa de soluƧƵes agroecolĆ³gicas junto ao Plano Brasil Sem MisĆ©ria ? PBSM, no TerritĆ³rio Agreste Alagoano. O objetivo deste trabalho Ć© a sistematizaĆ§Ć£o de experiĆŖncias agroecolĆ³gicas nas Unidades de ExperimentaĆ§Ć£o - UE?s - em 12 municĆpios inseridos no PBSM. O processo se constituiu em: aracterizaĆ§Ć£o socioeconĆ“mica e conhecimento da realidade local; planejamento com sensibilizaĆ§Ć£o, visita ao local da experimentaĆ§Ć£o e desenho de mapas da UE?s; implantaĆ§Ć£o das UE?s e; capacitaƧƵes em Agroecologia e no manejo de caprinos e ovinos. Conclui-se que a participaĆ§Ć£o dos agricultores no processo de planejamento enfatizou o protagonismo social destes, alĆ©m de contribuĆrem para formaĆ§Ć£o de sistemas de produĆ§Ć£o adaptados a realidade local, sendo assim um processo rico para construĆ§Ć£o do conhecimento agroecolĆ³gico
Estimation of the sugar cane cultivated area from LANDSAT images using the two phase sampling method
A two phase sampling method and the optimal sampling segment dimensions for the estimation of sugar cane cultivated area were developed. This technique employs visual interpretations of LANDSAT images and panchromatic aerial photographs considered as the ground truth. The estimates, as a mean value of 100 simulated samples, represent 99.3% of the true value with a CV of approximately 1%; the relative efficiency of the two phase design was 157% when compared with a one phase aerial photographs sample
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