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Analysis of spatial variation of tree heights in an urban area using LiDAR data. Estimating with greater precision and accuracy the height of plants has been a challenge for the scientific community. The objective this study is to evaluate the spatial variation of tree heights at... ... Repository: BDPA Publication year: 2016
Feature extraction of spatial panel data with autoencoders for clustering the Brazilian agricultural diversity. Author(s): SILVA, M. A. S. da; DOMPIERI, M. H. G. ABSTRACT - Brazilian agricultural production presents a high degree of spatial diversity, which challenges designing territorial public policies to promote sustainable development. This article propos... ... Repository: BDPA Publication year: 2022
Gathering spatial data on social vulnerability in Brazil. Author(s): MAGALHÃES, L. A.; FONSECA, M. F.; CUSTODIO, D. de O.; MARTINHO, P. R. R.; DALTIO, J.; CARVALHO, C. A. de; CASTRO, G. S. A. The Brazilian Ministry of Agricultural and Social Development coordinates several public policies aimed at minimizing social vulnerabilities by means of several programs. These programs' databases are... ... Repository: BDPA Publication year: 2017
Influence of the spatial extent and resolution of input data on soil carbon models in Florida, USA. Understanding the causes of spatial variation of soil carbon (C) has important implications for regional and global C dynamics studies. Soil C predictive models can identify sources of C variation, bu... ... Repository: BDPA Publication year: 2012
High spatial resolution land use and land cover mapping of the Brazilian Legal Amazon in 2008 using Landsat-5/TM and MODIS data. Author(s): COUTINHO, A. C.; ESQUERDO, J. C. D. M.; VENTURIERI, A. Understanding spatial patterns of land use and land cover is essential for studies addressing biodiversity, climate change and environmental modeling as well as for the design and monitoring of land u... ... Repository: BDPA Publication year: 2016
Feature engineering vs. extraction: clustering Brazilian municipalities through spatial panel agricultural data via autoencoders. This article compares the clustering of Brazilian municipalities according to their agricultural diversity using two approaches, one based on feature engineering and the other based on feature extract... ... Repository: BDPA Publication year: 2022
Evaluating a self-organizing map approach to cluster a Brazilian agricultural diversity spatial panel data. Repository: BDPA Publication year: 2021
Spatial distribution of elements in lateritic soils from a rare siderite carbonatite formation in the Brazilian Amazon using remotely sensed data and topographic attributes. The goal was to study the laterization process undergoing on a rare siderite carbonatite parent material by assessing the spatial distribution of Fe2O3, Nb, TiO2, and W using machine learning. Repository: BDPA Publication year: 2024
Global tropical forest cover change assessment with medium spatial satellite imagery using a systematic sample grid - data, methods and first results. Author(s): MIRANDA, E. E. de; HOLLER, W. A.; OSHIRO, O. T. 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
Open geodata to support agricultural research. Author(s): DRUCKER, D. P.; PINTO, D. M.; FIDALGO, E. C. C.; CUSTODIO, D. de O.; VICTORIA, D. de C.; ALMEIDA, B. T. de; PIEROZZI JUNIOR, I.; MACHADO, C. R. de L.; SANTOS, V. V. dos; SILVA, G. B. S. da; LAFORET, M. R. C.; TAKEMURA, C. M.; OLIVEIRA, L. H. M. de We describe our effort on building a Spatial Data Infrastructure (SDI) at Embrapa, the Brazilian Agricultural Research Corporation, a networked public company composed by 46 research centers distribut... ... Repository: BDPA Publication year: 2017

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