Academic literature on the topic 'Soil color indices'

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Journal articles on the topic "Soil color indices"

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Parviz, Laleh. "Performance evaluation of remote sensing data with machine learning technique to determine soil color." Polish Journal of Soil Science 53, no. 1 (2020): 97. http://dx.doi.org/10.17951/pjss.2020.53.1.97.

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<p>The aim of the present research is the determination of soil color by spectral bands and indices obtained from MODIS images. For this purpose, soil samples were collected from East Azerbaijan Province (Iran) and their color and texture were investigated through Munsell color system and hydrometer method, respectively. Stepwise regression, principle component analysis and sensitivity function methods were employed to find the dominant indices and bands using artificial neural network (ANN) as one of the machine learning techniques. The improved indices as the model input had better per
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Mandal, Umesh K. "SPECTRAL COLOR INDICES BASED GEOSPATIAL MODELING OF SOIL ORGANIC MATTER IN CHITWAN DISTRICT, NEPAL." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 7, 2016): 43–48. http://dx.doi.org/10.5194/isprsarchives-xli-b2-43-2016.

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Space Technology provides a resourceful-cost effective means to assess soil nutrients essential for soil management plan. Soil organic matter (SOM) is one of valuable controlling productivity of crops by providing nutrient in farming systems. Geospatial modeling of soil organic matter is essential if there is unavailability of soil test laboratories and its strong spatial correlation. In the present analysis, soil organic matter is modeled from satellite image derived spectral color indices. Brightness Index (BI), Coloration Index (CI), Hue Index (HI), Redness Index (RI) and Saturation Index (
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Mandal, Umesh K. "SPECTRAL COLOR INDICES BASED GEOSPATIAL MODELING OF SOIL ORGANIC MATTER IN CHITWAN DISTRICT, NEPAL." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 7, 2016): 43–48. http://dx.doi.org/10.5194/isprs-archives-xli-b2-43-2016.

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Space Technology provides a resourceful-cost effective means to assess soil nutrients essential for soil management plan. Soil organic matter (SOM) is one of valuable controlling productivity of crops by providing nutrient in farming systems. Geospatial modeling of soil organic matter is essential if there is unavailability of soil test laboratories and its strong spatial correlation. In the present analysis, soil organic matter is modeled from satellite image derived spectral color indices. Brightness Index (BI), Coloration Index (CI), Hue Index (HI), Redness Index (RI) and Saturation Index (
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SALA, Florin, Mihai HERBEI, and Cristian CONSTANTINESCU. "Model to Estimate Soil Erosion Based on Imaging Analysis." Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Horticulture 76, no. 1 (2019): 96. http://dx.doi.org/10.15835/buasvmcn-hort:2018.0022.

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The study aimed to development a prediction model for soil erosion degree by image analysis techniques. The spectral information was obtained by image analysis in the RGB and HSB color system, and by calculus resulted rgb normalized values. Specific indices were calculated: intensity (INT), normalized difference index (NDI) and dark green color index (DGCI). The correlation analysis emphasized the existence of high levels of interdependence between specific indices and normalized color data rgb, respectively luminance (L). The regression analysis has enabled the creation of estimation models f
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D. M. Woebbecke, G. E. Meyer, K. Von Bargen, and D. A. Mortensen. "Color Indices for Weed Identification Under Various Soil, Residue, and Lighting Conditions." Transactions of the ASAE 38, no. 1 (1995): 259–69. http://dx.doi.org/10.13031/2013.27838.

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Chen, Xuehong, Zhengfei Guo, Jin Chen та ін. "Replacing the Red Band with the Red-SWIR Band (0.74ρred+0.26ρswir) Can Reduce the Sensitivity of Vegetation Indices to Soil Background". Remote Sensing 11, № 7 (2019): 851. http://dx.doi.org/10.3390/rs11070851.

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Most vegetation indices (VIs) of remote sensing were designed based on the concept of soil-line, which represents a linear correlation between bare soil reflectance at the red and near-infrared (NIR) bands. Unfortunately, the soil-line can only suppress brightness variation, not color differences of bare soil. Consequently, soil variation has a considerable impact on vegetation indices, although significant efforts have been devoted to this issue. In this study, a new soil-line is established in a new feature space of the NIR band and a virtual band that combines the red and shortwave-infrared
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Abewa, Anteneh, Enyew Adgo, Birru Yitaferu, et al. "Teff Grain Physical and Chemical Quality Responses to Soil Physicochemical Properties and the Environment." Agronomy 9, no. 6 (2019): 283. http://dx.doi.org/10.3390/agronomy9060283.

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Teff is the only cultivated cereal crop from the genus Eragrostis and it is the major staple food of Ethiopians. In Ethiopia, the quality of teff and its market price are primarily determined by its grain color. The objective of this study was to evaluate the effects of soil physicochemical characteristics across multiple locations in the two main teff growing regions of Amhara and Oromia states in Ethiopia on teff grain color and nutritional quality of a single variety. Grain and soil samples were collected from 24 field sites cultivated with the popular teff variety ‘Quncho’ (DZ-Cr-387/RIL-3
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Helms, John G., Sally F. McGill, and Thomas K. Rockwell. "Calibrated, late Quaternary age indices using clast rubification and soil development on alluvial surfaces in Pilot Knob Valley, Mojave Desert, southeastern California." Quaternary Research 60, no. 3 (2003): 377–93. http://dx.doi.org/10.1016/j.yqres.2003.08.002.

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AbstractThe orange coating (varnish) that forms on the undersides (ventral sides) of clasts in desert pavements constitutes a potential relative-age indicator. Using Munsell color notation, we semiquantified the color of the orange, ventral varnish on the undersides of clasts from 15 different alluvial fan and terrace surfaces of various ages ranging from less than 500 to about 25,000 yr. All of the surfaces studied are located along the central portion of the left-lateral Garlock fault, in the Mojave Desert of southern California. The amount of left-lateral offset may be used to determine the
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Sona, Giovanna, Daniele Passoni, Livio Pinto, et al. "UAV MULTISPECTRAL SURVEY TO MAP SOIL AND CROP FOR PRECISION FARMING APPLICATIONS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 6, 2016): 1023–29. http://dx.doi.org/10.5194/isprsarchives-xli-b1-1023-2016.

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New sensors mounted on UAV and optimal procedures for survey, data acquisition and analysis are continuously developed and tested for applications in precision farming. Procedures to integrate multispectral aerial data about soil and crop and ground-based proximal geophysical data are a recent research topic aimed to delineate homogeneous zones for the management of agricultural inputs (i.e., water, nutrients). Multispectral and multitemporal orthomosaics were produced over a test field (a 100 m x 200 m plot within a maize field), to map vegetation and soil indices, as well as crop heights, wi
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Sona, Giovanna, Daniele Passoni, Livio Pinto, et al. "UAV MULTISPECTRAL SURVEY TO MAP SOIL AND CROP FOR PRECISION FARMING APPLICATIONS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 6, 2016): 1023–29. http://dx.doi.org/10.5194/isprs-archives-xli-b1-1023-2016.

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New sensors mounted on UAV and optimal procedures for survey, data acquisition and analysis are continuously developed and tested for applications in precision farming. Procedures to integrate multispectral aerial data about soil and crop and ground-based proximal geophysical data are a recent research topic aimed to delineate homogeneous zones for the management of agricultural inputs (i.e., water, nutrients). Multispectral and multitemporal orthomosaics were produced over a test field (a 100 m x 200 m plot within a maize field), to map vegetation and soil indices, as well as crop heights, wi
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Dissertations / Theses on the topic "Soil color indices"

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Tin, Lukić. "Боја лесно-палеоземљишних секвенци као показатељ палеоклиматских и палеоеколошких процеса". Phd thesis, Univerzitet u Novom Sadu, Prirodno-matematički fakultet u Novom Sadu, 2015. https://www.cris.uns.ac.rs/record.jsf?recordId=94363&source=NDLTD&language=en.

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Лесно-палеоземљишне секвенце на простору Војводине (северна Србија) представљају најзначајније регионалне палеоклиматске и палеоеколошке архиве. Испитивана секвенца Орловат- циглана на Тамишком, као и Дукатар педокомплекс V-S5 на Тителском лесном платоу изграђени су од седимената квартарне старости, формираних током глобалних палеоклиматских промена које  су се одиграле током горњег  и средњег плеистоцена. Промена боје између леса и палеоземљишта представља једно од најважнијих визуелних обележја ових литолошких чланова. Такође, наведене промене у блиској су
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Books on the topic "Soil color indices"

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The color of my soul. Washington Writers' Pub. House, 2011.

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Book chapters on the topic "Soil color indices"

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Sánchez-Marañón, Manuel. "Color Indices, Relationship with Soil Characteristics." In Encyclopedia of Agrophysics. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-3585-1_237.

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Beinart, William, and Lotte Hughes. "Forests and Forestry in India." In Environment and Empire. Oxford University Press, 2007. http://dx.doi.org/10.1093/oso/9780199260317.003.0012.

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The ‘riches’ of provincial India that were shown at the Punjab Exhibition of 1864 were later described in two hefty volumes by B. H. Baden-Powell of the Bengal Civil Service as the Hand-Book of the Economic Products of the Punjab. It began simply as a catalogue of all the items exhibited, but mushroomed into something more. Timber and other forest products featured alongside minerals, metals, manufacturing dyes, pottery, salt, and soils. A section was devoted to animal products such as lac (later used to make gramophone records), silk, musk, and wool; opium and 2,038 other drugs were listed, as well as the economic crops tea, cotton, flax, spices, grains, and pulses. Baden-Powell savoured the size, colour, and quality of each specimen, interspersed with grand descriptions of the countryside from which they came. But it was their uses, primarily to empire, and also to local communities, which distinguished these specimens. ‘A collection properly grouped together’, Baden-Powell wrote in the introduction, ‘becomes to the intelligent spectator a perfect history of the social condition of the country it represents’. More particularly, this provided a shopping list of tradable resources and their uses—a detailed breakdown of the natural wealth of India, about which many classical writers had enthused. Indigenous hardwoods were prime riches in this treasure trove; essential to the British army, navy, and railways, they became cogs in the conquest of India. The new demands inevitably led to deforestation. This chapter explores the debates over exploitation of India’s forests, and focuses more specifically on the rise of conservationist concerns, in which forestry played a major role. By conservation, we mean a set of ideas and practices that aimed at efficient and regulated usage of natural resources, so that they would be maintained in the longer term. We also consider forests as contested spaces, and the implications of their reservation for access to resources—in particular by local people. We have touched on conservationist views in respect of wildlife (Chapters 4 and 5) but it is important to examine forestry since it had such a major impact upon peoples and landscapes over time, it was a precursor to other forms of scientific environmental management, and the ideas and practices developed in India were exported to other parts of the Empire.
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