The Use of NDVI in Digital Mapping of the Content of Available Lithium in the Arable Horizon of Soils in Southwestern Siberia

Gopp, N. V.; Savenkov, O. A.; Nechaeva, T. V.; Смирнова, Н. В.

doi:10.1134/s0001433818090165

Cited by 5 publications

(4 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While in southwestern Siberia, Gopp et al (2018) reported soil-available Li content derived from ammonium acetate-buffered solutions ranged from 0.24 -0.68 mg kg -1 . The amount of soil-available Li is usually relatively low, about 3 -5% of the total Li content in the surface layers (Gopp et al, 2018;Anderson et al, 1988). De Caritat and Reimann (2012) reported median Li concentrations (after aqua regia digestion) of 12 and 5.7 mg kg -1 in European agricultural topsoils and Australian surface sediments, respectively, both in the coarse (< 2 mm) fraction.…”

Section: Introductionmentioning

confidence: 99%

“…In New Zealand, a study of Li concentration in soil reported a range between 0.08 -92 mg kg -1 (Robinson et al, 2018). While in southwestern Siberia, Gopp et al (2018) reported soil-available Li content derived from ammonium acetate-buffered solutions ranged from 0.24 -0.68 mg kg -1 . The amount of soil-available Li is usually relatively low, about 3 -5% of the total Li content in the surface layers (Gopp et al, 2018;Anderson et al, 1988).…”

Section: Introductionmentioning

confidence: 99%

“…Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images were used to map Li content in the Vale do Jequitinhonha region of Brazil (Perrotta et al, 2005). Gopp et al (2018) explored the use of Normalised Difference Vegetation Index (NDVI) to develop a predicted map of the plant available content of Li in southwestern Siberia soil. Cardoso-Fernandes et al (2018) evaluated the potential use of Sentinel-2 in Li mapping in the Fregeneda-Almendra region across the Spain-Portugal border.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Digital soil mapping of lithium in Australia

Minasny

McBratney

et al. 2023

Preprint

View full text Add to dashboard Cite

Abstract. With a higher demand for lithium (Li), a better understanding of its concentration and spatial distribution is important to delineate potential anomalous areas. This study uses a digital soil mapping framework to combine data from recent geochemical surveys and environmental covariates to predict and map Li content across the 7.6 million km2 area of Australia. Soil samples were collected by the National Geochemical Survey of Australia at a total of 1315 sites, with both top (0–10 cm depth) and bottom (on average 60–80 cm depth) catchment outlet sediments sampled. We developed 50 bootstrap models using a Cubist regression tree algorithm for both depths. The spatial prediction models were validated on an independent Northern Australia Geochemical Survey dataset, showing a good prediction with a root mean square error of 3.82 mg kg-1 (which is 50.9 % of the inter-quartile range) for the top depth. The model for the bottom depth has yet to be validated. The variables of importance for the models indicated that the first three Landsat 30+ Barest Earth bands (blue, green, red) and gamma radiometric dose have a strong impact on Li prediction. The bootstrapped models were then used to generate digital soil Li prediction maps for both depths, which could select and delineate areas with anomalously high Li concentrations in the regolith. The map shows high Li concentration around existing mines and other potentially anomalous Li areas. This is the first study that produces soil Li using remote sensing data at a high resolution over a continent. The same mapping principles can potentially be applied to other elements. The Li geochemical data for calibration and validation are available at: http://dx.doi.org/10.11636/Record.2011.020 and http://dx.doi.org/10.11636/Record.2019.002 respectively. The covariates data used for this study was sourced from Terrestrial Ecosystem Research Network (TERN) infrastructure, which is enabled by the Australian Government’s National Collaborative Research Infrastructure Strategy (NCRIS) https://esoil.io/TERNLandscapes/Public/Products/TERN/Covariates/Mosaics/90m/ (TERN, 2019).

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Digital soil mapping of lithium in Australia

Minasny

McBratney

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Information on the geographical distribution and dynamics of indexes of individual territories form the basis for evaluating higher-level processes. In particular, the study of the dynamics of VI contributes to the creation of a general picture of changes in the productivity of landscapes of large regions under conditions of modern climate warming (Dubovyk et al, 2015;Gopp et al, 2018;Phompila et al, 2015;Zhao et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Seasonal and Long-Term Changes of Vegetation Index of Arable Lands of Bryansk Region (Central Russia): Regularities and Dynamics Factors

Лобанов¹,

Avramenko²,

Protasova³

et al. 2020

PTQ

View full text Add to dashboard Cite

There are a number of different factors that affect the sustainable development of agriculture. Efficient use of land and water resources, taking into account the threats that may arise due to climate change, as well as the dynamics of plant growth and development. Vegetation indices play an important role in monitoring vegetation variations. This article provides information on seasonal and long-term changes in the EVI (Enhanced Vegetation Index) of arable land in the Bryansk region. The purpose of the article is to discern the course of the seasonal dynamics of the index, the ranges of its variability, probable causes of differences between 2000-2018. In this article, physicochemical research methods were used to calculate the humus content, surface topography characteristics, and agricultural use features based on cartographic and stock materials, and the soil composition and density were determined through fieldwork. Summarized material on changes in EVI values for a snowless period as a whole and for individual filming intervals (18 per year) in 2000-2018 is presented. The mechanism of the influence of a variety of edaphic vegetation conditions on smoothing the differences in EVI over a series of years with different meteorological conditions has been described. The results of the analysis of the factors of the long-term dynamics are presented, the role of short-term climatic fluctuations, a progressive decrease in the amount of precipitation, and changes in the species composition of grain crops in the long-term dynamics of EVI are demonstrated.

show abstract