Soil variability and quantification based on Sentinel-2 and Landsat-8 bare soil images: A comparison (2021)
- Authors:
- USP affiliated authors: DEMATTE, JOSE ALEXANDRE MELO - ESALQ ; AMORIM, MERILYN TAYNARA ACCORSI - ESALQ ; SILVERO, NÉLIDA ELIZABET QUIÑONEZ - ESALQ ; SANTOS, NATASHA VALADARES DOS - ESALQ ; RIZZO, RODNEI - ESALQ ; SAFANELLI, JOSÉ LUCAS - ESALQ ; POPPIEL, RAUL ROBERTO - ESALQ ; MENDES, WANDERSON DE SOUSA - ESALQ ; BONFATTI, BENITO ROBERTO - ESALQ
- Unidade: ESALQ
- DOI: 10.1016/j.rse.2020.112117
- Subjects: ANÁLISE DE SÉRIES TEMPORAIS; APRENDIZADO COMPUTACIONAL; IMAGEAMENTO DE SATÉLITE; MAPEAMENTO DO SOLO; SENSORIAMENTO REMOTO; VARIABILIDADE ESPACIAL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Remote Sensing of Environment
- ISSN: 1879-0704
- Volume/Número/Paginação/Ano: v. 252, art. n. 112117, p. 1-19, 2021
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SILVERO, Nélida Elizabet Quiñonez et al. Soil variability and quantification based on Sentinel-2 and Landsat-8 bare soil images: A comparison. Remote Sensing of Environment, v. 252, n. art. 112117, p. 1-19, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.rse.2020.112117. Acesso em: 23 jan. 2026. -
APA
Silvero, N. E. Q., Demattê, J. A. M., Amorim, M. T. A., Santos, N. V. dos, Rizzo, R., Safanelli, J. L., et al. (2021). Soil variability and quantification based on Sentinel-2 and Landsat-8 bare soil images: A comparison. Remote Sensing of Environment, 252( art. 112117), 1-19. doi:10.1016/j.rse.2020.112117 -
NLM
Silvero NEQ, Demattê JAM, Amorim MTA, Santos NV dos, Rizzo R, Safanelli JL, Poppiel RR, Mendes W de S, Bonfatti BR. Soil variability and quantification based on Sentinel-2 and Landsat-8 bare soil images: A comparison [Internet]. Remote Sensing of Environment. 2021 ; 252( art. 112117): 1-19.[citado 2026 jan. 23 ] Available from: https://doi.org/10.1016/j.rse.2020.112117 -
Vancouver
Silvero NEQ, Demattê JAM, Amorim MTA, Santos NV dos, Rizzo R, Safanelli JL, Poppiel RR, Mendes W de S, Bonfatti BR. Soil variability and quantification based on Sentinel-2 and Landsat-8 bare soil images: A comparison [Internet]. Remote Sensing of Environment. 2021 ; 252( art. 112117): 1-19.[citado 2026 jan. 23 ] Available from: https://doi.org/10.1016/j.rse.2020.112117 - Soil Color and Mineralogy Mapping Using Proximal and Remote Sensing in Midwest Brazil
- Digital mapping of soil parent material in a heterogeneous tropical area
- Point and imaging spectroscopy in geospatial analysis of soils
- Soil degradation index developed by multitemporal remote sensing images, climate variables, terrain and soil atributes
- Free iron oxide content in tropical soils predicted by integrative digital mapping
- Fine-scale soil mapping with Earth Observation data: a multiple geographic level comparison
- Leveraging the application of Earth observation data for mapping cropland soils in Brazil
- Improving the monitoring of sugarcane residues in a tropical environment based on laboratory and Sentinel-2 data
- Soil property maps with satellite images at multiple scales and its impact on management and classification
- Digital soil mapping and crop modeling to define the spatially-explicit influence of soils on water-limited sugarcane yield
Informações sobre o DOI: 10.1016/j.rse.2020.112117 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3014764-Soil variability ... |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
