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Prediction of aboveground biomass and dry-matter content in brachiaria pastures by combining meteorological data and satellite imagery. Author(s): BRETAS, I. L.; VALENTE, D. S. M.; SILVA, F. F.; CHIZZOTTI, M. L.; PAULINO, M. F.; D’ÁUREA, A. P.; PACIULLO, D. S. C.; PEDREIRA, B. C. e; CHIZZOTTI, F. H. M. Aboveground biomass (AGB) data are important for profitable and sustainable pasture management. In this study, we hypothesized that vegetation indexes (VIs) obtained through analysis of moderate spati... ... Repository: BDPA Publication year: 2021
Using imagery satellite to assess the Land Use Change (LUC) from natural and grazing areas to crop farming in Central Brazil. Author(s): ESTEVES, V.; BUNGENSTAB, D.; ESTEVES, E.; ARAUJO, O.; MORGADO, C. At the same time agriculture is a major source of economic resources for Brazil, it also plays a major role on national greenhouse gases emissions. Brazil has being adopting responsible measures not o... ... Repository: BDPA Publication year: 2016
Agrometeorological Indicators based on Satellite Imagery in Western Bahia, Brazil. Author(s): LEIVAS, J. F.; TEIXEIRA, A. H. DE C.; TAKEMURA, C. M.; GARCON, E. A. M. The western region of Bahia stands out for its large-scale agricultural activity, which uses advanced technology and produces high yields of soybeans, corn and cotton, making it the largest grain prod... ... Repository: BDPA Publication year: 2020
Predicting sugarcane yield through temporal analysis of satellite imagery during the growth phase. Author(s): VASCONCELOS, J. C. S.; ARANTES, C. S.; SPERANZA, E. A.; ANTUNES, J. F. G.; BARBOSA, L. A. F.; CANÇADO, G. M. de A. This research investigates how to estimate sugarcane (Saccharum officinarum L.) yield at harvest by using an average satellite image time-series collected during the growth phase. This study aims to e... ... Repository: BDPA Publication year: 2025
Estimation of phytomass stock through satellite imagery in a semiarid area in Pernambuco state, Brazil. Author(s): SAMPAIO, E. V. S. B.; NASCIMENTO, D. M.; MENEZES, R. S. C.; ACCIOLY, L. J. O.; PAREYN, F. G. C. The objective of our study was to developed equations to estimate vegetation biomass based on satellite data and to apply these equations to the vegetation in a 35000 km2 pilot area in the semiarid re... ... Repository: BDPA Publication year: 2015
Drought resistance across California ecosystems: evaluating changes in carbon dynamics using satellite imagery. Author(s): MALONE, S. L.; TULBURE, M. G.; PÉREZ-LUQUE, A. J.; ASSAL, T. J.; BREMER, L. L.; DRUCKER, D. P.; HILLIS, V.; VARELA, S.; GOULDEN, M. L. Drought is a global issue that is exacerbated by climate change and increasing anthropogenic water demands. The recent occurrence of drought in California provides an important opportunity to examine... ... Repository: BDPA Publication year: 2016
Water productivity of different land uses in watersheds assessed from satellite imagery Landsat 5 Thematic Mapper. Author(s): FRANCO, R. A. M.; HERNANDEZ, F. B.; TEIXEIRA, A. H. de C. Water productivity (WP) of various classes of soil usage from watersheds was estimated using the SAFER - Simple Algorithm For Evapotranspiration Retrieving - algorithm and the Monteith equation to est... ... Repository: BDPA Publication year: 2014
Trajectories of land use in the Brazilian Amazon: evidences from satellite imagery and Census data. Author(s): ALVES, D.; BATISTELLA, M.; MORAN, E.; BRONDIZIO, E. Repository: BDPA Publication year: 2005
Global tropical forest cover change assessment with medium spatial satellite imagery using a systematic sample grid - data, methods and first results. Author(s): BEUCHLE, R.; EVA, H. D.; MIRANDA, E. E. de; HOLLER, W. A.; OSHIRO, O. T.; ACHARD, F. At the Joint Research Centre (JRC) of the European Commission, a methodology has been developed to monitor the pan-tropical forest cover with remote sensing data for the years 1990-2000-2005 in Latin... ... Repository: BDPA Publication year: 2011
The roles of textural images in improving land-cover classification in the Brazilian Amazon. Author(s): LU, D.; LI, G.; MORAN, E.; DUTRA, L.; BATISTELLA, M. Texture has long been recognized as valuable in improving land-cover classification, but how data from different sensors with varying spatial resolutions affect the selection of textural images is poo... ... Repository: BDPA Publication year: 2014

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