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Predicting coffee water potential from spectral reflectance indices with neural networks. Author(s): ALVES, H. M. R. Leaf water potential is one of the main parameters used to assess water relations in plants by revealing levels of tissue hydration. It is commonly measured with the Scholander pressure chamber; which... ... Repository: BDPA Publication year: 2023
Integrating multi-sensor and multi-platform technologies for enhanced assessment of spectral indices and phenological dynamics in a seasonal tropical dry forest. Author(s): MOURA, M. S. B. de The ojective of this study was to verify whether multi-sensor and multi-platform technologies provide an enhanced assessment of spectral indices and phenological dynamics of the Caatinga. Repository: BDPA Publication year: 2024
Identification of acetates in elasmopalpulus lignosellus pheromone glands using a newly created mass spectral database and kóvats retention indices. Author(s): VIANA, P. A. Based on a specially created mass spectral database utilizing 23 tetradecenyl and 22 hexadecenyl acetate standards along with Kóvats retention indices obtained on a very polar stationary phase [poly (... ... Repository: BDPA Publication year: 2007
Assessment of phytoecological variability by red-edge spectral indices and soil-landscape relationships. Author(s): PINHEIRO, H. S. K.; BARBOSA, T. P. R.; ANTUNES, M. A. H.; CARVALHO, D. C. de; NUMMER, A. R.; CARVALHO JUNIOR, W. de; CHAGAS, C. da S.; FERNANDES-FILHO, E. I.; PEREIRA, M. G. There is a relation of vegetation physiognomies with soil and geological conditions that can be represented spatially with the support of remote sensing data. The goal of this research was to map vege... ... Repository: BDPA Publication year: 2019
Temporal dynamics of spectral reflectance and vegetation indices during canola crop cycle in southern Brazil. Author(s): DALMAGO, G. A.; CUNHA, G. R. da; GOUVEA, J. A. de; SANTI, A. Repository: BDPA Publication year: 2017
Spectral response variations as indicators of seasonal floods in Pantanal using SPOT-vegetation time series. Author(s): LEIVAS, J. F.; ANDRADE, R. G.; VICTORIA, D. de C.; TORRESAN, F. E.; BOLFE, E. L. Repository: BDPA Publication year: 2013
Objective indicators of pasture degradation from spectral mixed model analysis of landsat imagery. Repository: BDPA Publication year: 2007
Assessment of vegetational indices applied to sugarcane monitoring using Rapideye images. Author(s): VICENTE, L. E.; LOEBMANN, D. G. dos S. W.; ZILLMANN, E.; GONZALEZ, A.; VICENTE, A. K.; OLIVEIRA, B. P. de; ARAUJO, L. S. de Rapideye sensor have been operating since 2009 and was one of the first multispectral (5 bands) sensors to operate as part of a satellite constellation (5 satellites), able to provide a massive stock... ... Repository: BDPA Publication year: 2017
Spectral range (FRX-VIS-NIR-SWIR-MIR) interaction on the organic matter prediction. Author(s): VICENTE, L. E. Organic matter (OM) is an important indicator of soil quality and, therefore, must be quantified quickly and efficiently. Besides traditional methods, and countless studies with sensors have been adva... ... Repository: BDPA Publication year: 2018
Mapping landscape features related to soil carbon using ASTER thermal infrared images. Author(s): VICENTE, L. E.; LOEBMANN, D. G. dos S. W.; MANZATTO, C. V. Climatic change derived from greenhouse gases (GHG) anthropogenic emissions consists in one of the main concerns of public policy makers. In Brazil, agricultural activities and livestock are responsib... ... Repository: BDPA Publication year: 2017

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