Skip to Content 1
Ir para o menu 2
Ir para a busca 3

Portal Embrapa

Language Language

português English
Entrar

Search Publications

Sort by: date | alphabetically


Analysis of spatial variation of tree heights in an urban area using LiDAR data. Author(s): GALVÍNCIO, J. D.; OLIVEIRA, T. H. de; MOURA, M. S. B. de; COSTA, V. S. de O. 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; MATOS, L. N.; SANTOS, F. E. DE O.; DOMPIERI, M. H. G.; MOURA, F. R. DE 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. Author(s): VASQUES, G. de M.; GRUNWALD, S.; MYERS, D. B. 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
Feature engineering vs. extraction: clustering Brazilian municipalities through spatial panel agricultural data via autoencoders. Author(s): SILVA, M. A. S. da; MATOS, L. N.; SANTOS, F. E. de O.; DOMPIERI, M. H. G.; MOURA, F. R. de 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. Author(s): SILVA, M. A. S. da; MATOS, L. N.; SANTOS, F. E. de O.; MAOURA, F. R. de; DOMPIERI, M. H. G. Repository: BDPA Publication year: 2021
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): ALMEIDA, C. A. de; COUTINHO, A. C.; ESQUERDO, J. C. D. M.; ADAMI, M.; VENTURIERI, A.; DINIZ, C. G.; DESSAY, N.; DURIEUX, L.; GOMES, A. R. Entender o padrão espacial do uso e cobertura da terra é essencial para estudos de biodiversidade, mudanças climáticas e modelagem ambiental, bem como para concepção e acompanhamento de políticas dire... ... Repository: BDPA Publication year: 2016
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
Legacy soil maps from Brazil: organizing and providing layers in an interactive WebGIS. Author(s): DART, R. de O.; AGLIO, M. L.; SILVEIRA, H. L. F. da; FIDALGO, E. C. C.; SIMÕES, M.; SOUZA, J. S. de; SOUZA, E. R. de; DRUCKER, D. P.; CUSTODIO, D. de O.; MACHADO, C. R. de L.; LAFORET, M. R. C. Digital soil maps at appropriate scales are essential information for land use planning. Nevertheless, Brazilian soil information is scattered in several institutions and stored in several formats. In... ... Repository: BDPA Publication year: 2019
Tracking the Connection between Brazilian Agricultural Diversity and Native Vegetation Change by a Machine Learning Approach. Author(s): SILVA, M. A. S. da; MATOS, L. N.; SANTOS, F. E. DE O.; DOMPIERI, M. H. G.; MOURA, F. R. DE ABSTRACT - In Brazil, agribusiness has a considerable role in the country?s GDP. Because of this, the State needs territorial planning to minimize the impacts on natural resources, especially in the P... ... Repository: BDPA Publication year: 2022

Showing 1 - 10 of 624 results.

Observation

Some of Embrapa's publications are published as ePub files. To read them, use or download one of the following free software options to your computer or mobile device. Android: Google Play Books; IOS: iBooks; Windows and Linux: Calibre.

Access other publications

Access the Agricultural Research Database (BDPA) to consult Embrapa's full library collection and records.
Visit Embrapa Bookstore to purchase books and other publications sold by Embrapa.