Point and imaging spectroscopy in geospatial analysis of soils (2021)
- Authors:
- USP affiliated authors: DEMATTE, JOSE ALEXANDRE MELO - ESALQ ; RIZZO, RODNEI - ESALQ ; MENDES, WANDERSON DE SOUSA - ESALQ ; DOTTO, ANDRÉ CARNIELETTO - ESALQ ; SANTOS, NATASHA VALADARES DOS - ESALQ ; BONFATTI, BENITO ROBERTO - ESALQ ; POPPIEL, RAUL ROBERTO - ESALQ
- Unidade: ESALQ
- DOI: 10.1007/978-981-15-6864-0
- Subjects: ANÁLISE ESPECTRAL; ESPECTROSCOPIA INFRAVERMELHA; SENSOR; SENSORIAMENTO REMOTO; SOLOS
- Language: Inglês
- Imprenta:
- Publisher: Springer Nature Singapore Pte
- Publisher place: Gateway East
- Date published: 2021
- Source:
- Título: Geospatial technologies for crops and soils
- Volume/Número/Paginação/Ano: 537 p
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
RIZZO, Rodnei et al. Point and imaging spectroscopy in geospatial analysis of soils. Geospatial technologies for crops and soils. Tradução . Gateway East: Springer Nature Singapore Pte, 2021. . Disponível em: https://doi.org/10.1007/978-981-15-6864-0. Acesso em: 08 out. 2024. -
APA
Rizzo, R., Mendes, W. de S., Silvero, N. E. Q., Terra, F. da S., Dotto, A. C., Santos, N. V. dos, et al. (2021). Point and imaging spectroscopy in geospatial analysis of soils. In Geospatial technologies for crops and soils. Gateway East: Springer Nature Singapore Pte. doi:10.1007/978-981-15-6864-0 -
NLM
Rizzo R, Mendes W de S, Silvero NEQ, Terra F da S, Dotto AC, Santos NV dos, Bonfatti BR, Poppiel RR, Demattê JAM. Point and imaging spectroscopy in geospatial analysis of soils [Internet]. In: Geospatial technologies for crops and soils. Gateway East: Springer Nature Singapore Pte; 2021. [citado 2024 out. 08 ] Available from: https://doi.org/10.1007/978-981-15-6864-0 -
Vancouver
Rizzo R, Mendes W de S, Silvero NEQ, Terra F da S, Dotto AC, Santos NV dos, Bonfatti BR, Poppiel RR, Demattê JAM. Point and imaging spectroscopy in geospatial analysis of soils [Internet]. In: Geospatial technologies for crops and soils. Gateway East: Springer Nature Singapore Pte; 2021. [citado 2024 out. 08 ] Available from: https://doi.org/10.1007/978-981-15-6864-0 - Soil variability and quantification based on Sentinel-2 and Landsat-8 bare soil images: A comparison
- Soil environment grouping system based on spectral, climate, and terrain data: a quantitative branch of soil series
- Expert-based maps and highly detailed surface drainage models to support digital soil mapping
- Digital mapping of soil parent material in a heterogeneous tropical area
- Leveraging the application of Earth observation data for mapping cropland soils in Brazil
- Carbonates and organic matter in soils characterized by reflected energy from 350-25000 nm wavelength
- Improvement of clay and sand quantification based on a novel approach with a focus on multispectral satellite images
- Multi-temporal bare surface image associated with transfer functions to support soil classification and mapping in southeastern Brazil
- Land use/land cover changes and bare soil surface temperature monitoring in southeast Brazil
- A regional legacy soil dataset for prediction of sand and clay content with Vis-Nir-Swir, in Southern Brazil
Informações sobre o DOI: 10.1007/978-981-15-6864-0 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas