José Lucas SafanelliWoodwell Climate Research Center | WHRC
José Lucas Safanelli
PhD
Pedometrics, soil spectroscopy, and soil monitoring
About
49
Publications
21,850
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839
Citations
Citations since 2017
Introduction
José Lucas Safanelli does research on soil and agricultural sciences.
Additional affiliations
February 2020 - February 2022
Position
- Researcher
Description
- https://gppesalq.agr.br/
January 2019 - July 2019
March 2016 - August 2020
Education
March 2016 - August 2020
July 2011 - February 2016
Publications
Publications (49)
Large and publicly available soil spectral libraries, such as the USDA National Soil Survey Center – Kellogg Soil Survey Laboratory (NSSC‐KSSL) mid‐infrared (MIR) spectral library, are enormously valuable resources enabling laboratories around the world to make rapid low‐cost estimates of a number of soil properties. A limitation to widespread shar...
O Brasil é o terceiro maior produtor e exportador mundial de milho, e o estado do Mato Grosso (MT) é responsável por cerca de 50% da produção nacional de milho, com potencial de produzir mais de 40 milhões de toneladas, em mais de 6 milhões de hectares. Quase todo o milho produzido no MT é proveniente da 2ª safra (semeado após a colheita da cultura...
The Amazon rainforest is one of the most important ecosystems on the planet; however, the environmental pressure created by anthropic activities require monitoring of this critical biome. In this study, we assessed the evolution of deforestation in an open mine pit and its impact on surface environment (i.e., temperature and carbon stocks) using re...
Management practices that aim to increase the profitability of agricultural production with minimal environmental impact must consider within-field soil variability, and this site-specific management can be addressed by precision agriculture (PA). Thus, this work aimed to investigate which key soil attributes are distinguishable management zones (M...
Soil apparent electrical conductivity (ECa) is related to various soil attributes and processes. This research aimed to understand the relationship between ECa and pedogenesis, lithology and attributes. The study area is located in São Paulo State, Brazil. Soil samples were collected for physical-chemical analysis from 79 locations (0 - 20 cm layer...
Drainage network (DN) is the representation of all the stream channels developed over the landscape. The morphometry of DN describes the relationship between channel characteristics and basin geometry, which is regulated by a series of processes, such as weathering, geomorphology, sediment erosion/deposition. The interaction between these factors i...
The free iron content is a vital indicator of pedogenic processes in tropical soils and can be used to understand the soil's weathering history and aid in classification. Despite its importance in agriculture and pedology, laboratory analyses of soil iron content are not widely used because they are costly and time-consuming. Remote sensing data co...
Detailed soil maps contribute to the understanding of agricultural and food value chains. PlanetScope satellite constellations have high spatial and temporal resolution and could be used to develop Synthetic Soil Image (SYSI) at specific dates of field crops calendar. This work aimed to derive a SYSI from PlanetScope time series and estimate soil c...
ABSTRACT Multitemporal collections of satellite images and their products have recently been explored in digital soil mapping. This study aimed to produce a bare soil image (BSI) for the São Paulo State (Brazil) to perform a pedometric analysis for different geographical levels. First, we assessed the potential of the BSI for predicting the surface...
Parent material is the main source for soil textural, mineralogical, and other physical attributes. The knowledge over this factor is explored generally in low scale geology maps, insufficient for most users. Remote sensing can offer assistance in this regard, since it allows the evaluation of soil properties, as largely indicated in literature, be...
Despite the natural spatial variability, cropland soils are subject to many interventions that can lead to alterations of soil functioning. As the cropland expansion took place in Brazil the last decades, leading to significant land-use change and environmental impacts, detailed information about soils is fundamental for sustainable development. Th...
A agricultura emprega técnicas cada vez mais inovadoras na busca por otimizar insumos, maximizar a lucratividade
e diminuir o impacto ambiental. Exemplo disso é o despontar da Agricultura 4.0, na qual sensores coletam informações
através do Sensoriamento Próximo. Esses métodos, chamados photon-based methods, empregam distintos comprimentos de
onda...
Geophysical methods, such as gamma-ray spectrometry, have great potential to enhance knowledge of the pedosphere (pedogenesis, pedogeochemistry and pedogeomorphology), helping to predict tropical soil attributes. We applied proximal gamma-ray spectrometry to evaluate tropical landscape dynamics, pedogenesis and spatial distribution of radionuclides...
Geophysical methods, such as gamma-ray spectrometry, have great potential to enhance knowledge of the
pedosphere (pedogenesis, pedogeochemistry and pedogeomorphology), helping to predict tropical soil attributes.
We applied proximal gamma-ray spectrometry to evaluate tropical landscape dynamics, pedogenesis and
spatial distribution of radionuclides...
There is a worldwide need for detailed spatial information to support soil mapping, mainly in the tropics, where main agricultural areas are concentrated. In this line, satellite images are useful tools that can assist in obtaining soil information from a synoptic point of view. This study aimed at evaluating how satellite images at different resol...
The land surface temperature (LST) provides important information about energy exchange processes, which are influenced by land use/land cover (LULC). Thus, our objective was to evaluate LST patterns driven by LULC changes, detected over a time series of Landsat images. The study area of 2,990 km2 is located in the Piracicaba region, state of São P...
Terrain analysis is an important tool for modeling environmental systems. Aiming to use the cloud-based computing capabilities of Google Earth Engine (GEE), we customized an algorithm for calculating terrain attributes, such as slope, aspect, and curvatures, for different resolution and geographical extents. The calculation method is based on geome...
In this study, random forest (RF) and support vector machine (SVM) models were developed to evaluate different input variables for predicting and mapping soil drainage classes in the a part of Charmahal & Bakhtiari Province, central Iran. Input variables included digital elevation model (DEM) derived topographic attributes, remote sensing-derived v...
Parent material is one of the five factors in soil formation. Studies on parent material allow interpreting soil genesis processes and improve our knowledge of specific soil attributes. However, soil parent material maps at detailed cartographic scale (finer than 1:100,000) are rare in tropical areas and it is usually inferred from poorly detailed...
Reflectance of light across the visible, near-infrared and shortwave infrared (VIS-NIR-SWIR, 0.4-2.5 µm) spectral region is very useful for investigating mineralogical, physical and chemical properties of soils, which can reduce the need for traditional wet chemistry analyses. As many collections of multispectral satellite data are available for en...
Soil color and mineralogy are used as diagnostic criteria to distinguish different soil types. In the literature, 350–2500 nm spectra were successfully used to predict soil color and mineralogy, but these attributes currently are not mapped for most Brazilian soils. In this paper, we provided the first large-extent maps with 30 m resolution of soil...
The Earth’s surface dynamics provide essential information for guiding environmental and agricultural policies. Uncovered and unprotected surfaces experience several undesirable effects, which can affect soil ecosystem functions. We developed a technique to identify global bare surface areas and their dynamics based on multitemporal remote sensing...
The Midwest region in Brazil has the largest and most recent agricultural frontier in the country where there is no currently detailed soil information to support the agricultural intensification. Producing large-extent digital soil maps demands a huge volume of data and high computing capacity. This paper proposed mapping surface and subsurface ke...
The present study was developed in a joint partnership with the Brazilian pedometrics community to standardize and evaluate spectra within the 350–2500 nm range of Brazilian soils. The Brazilian Soil Spectral Library (BSSL) began in 1995, creating a protocol to gather soil samples from different locations in Brazil. The BSSL reached 39,284 soil sam...
Geospatial soil information is critical for agricultural policy formulation and decision making, land-use suitability analysis, sustainable soil management, environmental assessment, and other research topics that are of vital importance to agriculture and economy. Proximal and Remote sensing technologies enables us to collect, process, and analyze...
It is impossible to make pedological maps without understanding subsurface attributes. Several strategies can be used for soil mapping, from a tacit knowledge to mathematical modeling. However, there are still gaps in knowledge regarding how to optimize subsurface mapping. This work aimed to quantify subsurface soil attributes using satellite spect...
Brazil is among the most important Eucalyptus producers in the world, contributing with approximately 25% of the world′s Eucalyptus plantations area. Even under favorable climatic conditions, the Eucalyptus yields in Brazil are often limited by several factors, including fungal diseases. Among others, Eucalyptus rust, caused by Puccinia psidii, is...
The mapping of soil attributes provides support to agricultural planning and land use monitoring, which consequently aids the improvement of soil quality and food production. Landsat 5 Thematic Mapper (TM) images are often used to estimate a given soil attribute (i.e., clay), but have the potential to model many other attributes, providing input fo...
Soil mapping demands large-scale surveys that are costly and time consuming. It is necessary to identify strategies with reduced costs to obtain detailed information for soil mapping. We aimed to compare multispectral satellite image and relief parameters for the quantification and mapping of clay and sand contents. The Temporal Synthetic Spectral...
Soil mapping has been identified as key to environmental issues. The determination of soil attributes to achieve the best decision making on land use planning is crucial. The use of remote sensing (satellite images) can improve understanding of the surface, since it collects a spectral reflectance fingerprint related to soil properties. However, me...
Landscape characteristics and access type may exert a strong influence on groundwater quality, thereby adversely affecting human health. The aim of this study was to evaluate groundwater quality in springs and shallow wells of rural areas in terms of hydrochemical properties and different water quality indexes by comparing distinct microregions, gr...
The maintenance of sugarcane straw on the field has an important role in preserving the soil properties and organic carbon content. However, there is a growing interest in removing part of this residue to use in bioenergy production. The effect of straw removal on soil quality is still poorly studied. The aim of this study was to evaluate the impac...
The delimitation of site-specific management zones may be an operational and economically feasible approach in precision agriculture. This study aimed at investigating the spatial correlations between spectral indexes sampled during different growth stages of soybean and crop yield. Soil attributes stratified in each zone and the influence of altit...
There is a consensus about the necessity to achieve a quick soil spatial information with few human resources. Remote/proximal sensing and pedotransference are methods that can be integrated into this approach. On the other hand, there is still a lack of strategies indicating on how to put this in practice, especially in the tropics. Thus, the obje...
There is scientific evidence toward the incorporation, in a near feature, of diffuse reflectance spectroscopy (DRS) as an everyday laboratory tool for soil attribute determination. Nevertheless, research still has to be conducted toward the capabilities of limited ranges of the spectra (i.e., 325–1075 nm), as well as the use of more affordable spec...
O conhecimento sobre a cobertura da terra é fundamental como informação para o planejamento e o estudo dos efeitos da substituição de paisagens naturais por paisagens antropizadas. Este estudo objetivou analisar a dinâmica da cobertura da terra entre os anos de 1989 e 2011, na bacia hidrográfica do rio Marombas (SC), empregando o classificador árvo...
The improvement and expansion of a more sustainable and productive garlic crop system should consider the constant monitoring and recognition of the determining factors in the field scale. The proximal sensing has been highlighted in recent years by generating agricultural information in a quick, efficient and less laborious way. This technique cou...
The spectral response of the soil is associated with their constituents, among which stands out the organic matter content. This constituent is considered an indicator of the quality of the soil, and the variation in their levels can be used for identifying the spatial variability. The aim of this study was to investigate the potential of diffuse r...
RESUMO: A cultura da soja se destaca pela sua importância econômica no cenário agrícola mundial e com isso houve um aumento significativo do seu cultivo em todo o território brasileiro. Tecnologias voltadas ao incremento da produtividade da cultura e redução tanto dos custos quanto do impacto ambiental causado pelo seu cultivo vêm sendo estudadas,...
RESUMO: Na detecção da variabilidade espacial das lavouras, o emprego do sensoriamento remoto é uma das alternativas estudadas. Esta técnica baseia-se na sensibilização de sensores presentes em equipamentos como satélites, radares, espectrorradiômetros e câmeras. Este trabalho objetivou detectar a variabilidade espacial do índice de vegetação dinâm...
RESUMO: A agricultura de precisão visa manejar áreas diferenciadas de agricultura que apresentam variabilidade espacial. A variabilidade espacial pode ser gerada com o emprego de geostatística sobre os dados obtidos de sensores. O objetivo desse trabalho foi de diagnosticar a variabilidade temporal e espacial do índice de vegetação ajustado ao solo...
A espectrorradiometria proximal é uma técnica promissora para obter informações de forma rápida, eficiente e não poluidora. Essa forma de coleta de dados já vem sido aplicada em estudos ambientais e agrícolas. A técnica parte do pressuposto de que cada objeto possui uma assinatura espectral especifica, e que é alterada conforme as condições química...
Marombas River basin was selected to evaluate groundwater quality in agricultural areas, where this resource is often used for water supply and irrigation. Physical-chemical (pH, temperature, dissolved oxygen [DO], electrical conductivity [EC], turbidity and biological oxygen demand) and chemical (HCO3-, Cl-, SO42-, NO3-, Ca2+, Mg2+, Na+, K+, disso...
Projects
Projects (2)
Soil maps are essential guidelines for promoting the correct planning and use of soils. However, less than 5% of the Brazilian territory has detailed information about this natural resource. The use of remote sensing and cloud processing can support the mapping of soil properties with detailed spatial resolution, with the benefits of fast execution, economic resources save, which can be adapted for any large extent area. However, there are still limitations in getting specific information about soils from satellite images. We aim to develop a processing system based on cloud computing to assess the agricultural soils of São Paulo, Brazil. Using databases of topsoil information and machine learning algorithms, we aim to process multitemporal historical images and calibrate prediction models to map clay, sand, organic carbon, pH, cation exchange capacity, base saturation and total iron content. The results will be used to evaluate how the agricultural intensification has occurred regarding soil properties distribution and forecast the impacts of the current soil conditions on agricultural sustainability. Such development can be expanded to other agricultural regions of Brazil and around the world, promoting a better assessment and planning of agricultural soils.
