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A comparative study of landsat TM and SPOT HRG images of vegetation classification in the brazilian Amazon. Complex forest structure and abundant tree species in the moist tropical regions often couse difficulties in classifying vegetation classes with remotely sensed data. This paper explores improvement i... ... Repository: BDPA Publication year: 2008
Mapping of sugarcane crop area in the Paraná State using Landsat/TM/OLI and IRS/LISS-3 images. Author(s): ANTUNES, J. F. G. ABSTRACT. The knowledge on reliable estimates of areas under sugarcane cultivation is essential for the Brazilian agribusiness, since it helps in the development of public policies, in determining pri... ... Repository: BDPA Publication year: 2017
Leaf water potential of coffee estimated by landsat-8 images. Author(s): ALVES, H. M. R. Traditionally, water conditions of coffee areas are monitored by measuring the leaf water potential throughout a pressure pump. However, there is a demand for the development of technologies that can... ... Repository: BDPA Publication year: 2020
Mapping of Fractional Forest Cover in Rondonia, Brazil with a Combination of Terra MODIS and Landsat TM Images. High deforstation rates in Amazonia have motivated considerable efforts to monitor land-cover changes based on satellite images and image porcesssing techniques. Most commonly, MODIS images are used t... ... Repository: BDPA Publication year: 2007
Integration of landsat TM and SPOT HRG Images for vegetation change detection in the Brazilian Amazon. Traditional change detection approaches have been proven to be difficult in detecting vegetation changes in the moist tropical regions with multitemporal images. This paper explores the integration of... ... Repository: BDPA Publication year: 2008
Mapping and monitoring land degradation risks in the western Brazilian Amazon using multitemporal landsat TM/ETM + IMAGES. Mapping and monitoring land degradation in areas under human-induced stresses have urgent tasks in remote sensing whose importance has not yet been fully appreciated. In this study, a surface cover in... ... Repository: BDPA Publication year: 2007
Improved modeling of gross primary production and transpiration of sugarcane plantations with time-series Landsat and Sentinel-2 images. Author(s): CABRAL, O. M. R. Abstract: Sugarcane croplands account for ~70% of global sugar production and ~60% of global ethanol production. Monitoring and predicting gross primary production (GPP) and transpiration (T) in these... ... Repository: BDPA Publication year: 2023
Using Landsat 8 image time series for crop mapping in a region of Cerrado, Brazil. Author(s): LUIZ, A. J. B. Abstract: The objective of this research is to classify agricultural land use in a region of the Cerrado (Brazilian Savanna) biome using a time series of Enhanced Vegetation Index (EVI) from Landsat 8... ... Repository: BDPA Publication year: 2016
Water productivity assessments with Landsat 8 images in the Nilo Coelho irrigation scheme. Author(s): TEIXEIRA, A. H. de C.; LEIVAS, J. F.; ANDRADE, R. G. The Nilo Coelho (NC) irrigation scheme, located in the Brazilian semi-arid region, is an important irrigated agricultural area. Land use change effects on actual evapotranspiration (ET), biomass produ... ... Repository: BDPA Publication year: 2015
Options for using Landsat and RapidEye satellite images aiming the water productivity assessments in mixed agro-ecosystems. Author(s): TEIXEIRA, A. H. de C.; LEIVAS, J. F.; SILVA, G. B. S. da The objective of the actual research was to test and apply a new methodology of assessing Water Productivity (WP) being T○ retrieved with and without the thermal band of the Landsat sensor and l... ... Repository: BDPA Publication year: 2016

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