Terrain Analysis in Google Earth Engine: A Method Adapted for High-Performance Global-Scale Analysis (2020)
- Authors:
- USP affiliated authors: DEMATTE, JOSE ALEXANDRE MELO - ESALQ ; SAFANELLI, JOSÉ LUCAS - ESALQ ; POPPIEL, RAUL ROBERTO - ESALQ ; MELLO, FELLIPE ALCANTARA DE OLIVEIRA - ESALQ ; RIZZO, RODNEI - ESALQ
- Unidade: ESALQ
- DOI: 10.3390/ijgi9060400
- Subjects: COMPUTAÇÃO EM NUVEM; GEOPROCESSAMENTO; IMAGEAMENTO DE SATÉLITE; TOPOGRAFIA
- Keywords: Modelagem de terreno
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: ISPRS International Journal of Geo-Information
- ISSN: 2220-9964
- Volume/Número/Paginação/Ano: v. 9 , art. 400, p. 1-14, 2020
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
SAFANELLI, José Lucas et al. Terrain Analysis in Google Earth Engine: A Method Adapted for High-Performance Global-Scale Analysis. ISPRS International Journal of Geo-Information, v. 9 , p. 1-14, 2020Tradução . . Disponível em: https://doi.org/10.3390/ijgi9060400. Acesso em: 29 mar. 2026. -
APA
Safanelli, J. L., Poppiel, R. R., Ruiz, L. F. C., Bonfatti, B. R., Mello, F. A. de O., Rizzo, R., & Demattê, J. A. M. (2020). Terrain Analysis in Google Earth Engine: A Method Adapted for High-Performance Global-Scale Analysis. ISPRS International Journal of Geo-Information, 9 , 1-14. doi:10.3390/ijgi9060400 -
NLM
Safanelli JL, Poppiel RR, Ruiz LFC, Bonfatti BR, Mello FA de O, Rizzo R, Demattê JAM. Terrain Analysis in Google Earth Engine: A Method Adapted for High-Performance Global-Scale Analysis [Internet]. ISPRS International Journal of Geo-Information. 2020 ; 9 1-14.[citado 2026 mar. 29 ] Available from: https://doi.org/10.3390/ijgi9060400 -
Vancouver
Safanelli JL, Poppiel RR, Ruiz LFC, Bonfatti BR, Mello FA de O, Rizzo R, Demattê JAM. Terrain Analysis in Google Earth Engine: A Method Adapted for High-Performance Global-Scale Analysis [Internet]. ISPRS International Journal of Geo-Information. 2020 ; 9 1-14.[citado 2026 mar. 29 ] Available from: https://doi.org/10.3390/ijgi9060400 - A new methodological framework for geophysical sensor combinations associated with machine learning algorithms to understand soil attributes
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