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Relevant bibliographies by topics / Spatial variability of soils

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Academic literature on the topic 'Spatial variability of soils'

Author: Grafiati

Published: 20 July 2024

Last updated: 31 July 2025

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Journal articles on the topic "Spatial variability of soils"

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Rahman, S., L. C. Munn, R. Zhang, and G. F. Vance. "Rocky Mountain forest soils: Evaluating spatial variability using conventional statistics and geostatistics." Canadian Journal of Soil Science 76, no. 4 (1996): 501–7. http://dx.doi.org/10.4141/cjss96-062.

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Spatial variability of soils is a landscape attribute which soil scientists must identify and understand if they are to construct useful soils maps. This paper describes the spatial variability of soils in a forested watershed in the Medicine Bow Mountains, Wyoming, using both conventional statistics and geostatistics. Principle Components Analysis indicated that flow accumulation and aspect were the two terrain attributes that most economically described terrain variability. Thickness of A and B horizons, organic carbon and solum coarse fragments were variable in the study area (CVs of 40 to

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K., I. OFEM, F. EDIENE V., KINGSLEY JOHN, and U. AKPAN-IDIOK A. "SPATIAL VARIABILITY OF SOIL PROPERTIES IN YAKURR LOCAL GOVERNMENT AREA, SOUTHEAST NIGERIA." Asian Journal of Plant and Soil Sciences 2, no. 1 (2017): 6–16. https://doi.org/10.5281/zenodo.1407329.

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The status and spatial variability of soil properties across agrarian communities in Yakurr Local Government Area, Southeast Nigeria were assessed and soil management strategies suggested for limiting soil properties. Nine communities were identified within the study area and soil samples collected from young fallow lands measuring 40 m by 40 m at depths of 0 – 20 cm and 20 – 40 cm to represent surface and subsurface soils respectively. The interpolation of the area was done using the deterministic methods of inverse distance weighting (IDW) in ArcGIS 10.2.2 software. The soils wer

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SAMRA, J. S., K. N. S. SHARMA, and N. K. TYAGI. "ANALYSIS OF SPATIAL VARIABILITY IN SODIC SOILS." Soil Science 145, no. 3 (1988): 180–87. http://dx.doi.org/10.1097/00010694-198803000-00004.

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SAMRA, J. S., V. P. SINGH, and K. N. S. SHARMA. "ANALYSIS OF SPATIAL VARIABILITY IN SODIC SOILS." Soil Science 145, no. 4 (1988): 250–56. http://dx.doi.org/10.1097/00010694-198804000-00003.

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Prasanna, Shwetha. "Analysis of Hydraulic Properties of Indian Forest Soil." Journal of Civil Engineering and Construction 7, no. 1 (2018): 12. http://dx.doi.org/10.32732/jcec.2018.7.1.12.

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Soils are a product of the factors of formation and continuously change over the earth’s surface. The analysis of the spatial variability of soil properties is important for land management and construction of an ecological environment. Soils are characterized by high degree of spatial variability due to the combined effect of physical, chemical or biological processes that operate with different intensities and at different scales. The spatial variability of soil hydraulic properties helps us to find the subsurface flux of water. The most frequently used hydraulic properties are soil water re

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Phontusang, Porntip, Roengsak Katawatin, Krirk Pannangpetch, Sununtha Kingpaiboon, and Rattana Lerdsuwansri. "Spatial Variability of Sodium Adsorption Ratio and Sodicity in Salt-Affected Soils of Northeast Thailand." Advanced Materials Research 931-932 (May 2014): 709–15. http://dx.doi.org/10.4028/www.scientific.net/amr.931-932.709.

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Information on spatial variability of Sodium Adsorption Ratio (SAR) is useful for implementation of appropriate control measures for the salt-affected soils. The major objective of this study was to use geostatistics to describe the spatial variability of (i) the SAR and consequently (ii) the soil sodicity, in areas of different classes of salt-affected soils. Attention was on areas of very severely salt-affected soils (class 1), severely salt-affected soils (class 2), and moderately salt-affected soils (class 3). For each class, 2 study sites were chosen, totally 6 sites were taken into consi

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Hadi, Teeba Abdel Karim Abdel, Amal Radhi Jubeir, and Mohammed A. Hussain. "Spatial Variability of Some Soil Microorganisms." IOP Conference Series: Earth and Environmental Science 1158, no. 2 (2023): 022023. http://dx.doi.org/10.1088/1755-1315/1158/2/022023.

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Abstract The study area was chosen in the field of the College of Agriculture of Al-Qasim Green University, confined between longitudes 22.6° 22° 044° to 00.9° 24° 0.44° east and between latitudes 19.3° 21° 32° to 21.7° 24° 32° N, and the study area was interlocked and identified The coordinates were obtained by GPS, as samples were obtained from 40 sites of cultivated soils. For two surface depths 0-30 cm and sub-surface 30-60 cm and 40 sites for leftover soils of two depths as well, The volumetric analysis results showed that the variability of the microorganisms in the soil was that the Azo

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Orfánus, T., Z. Bedrna, Ľ. Lichner, D. Hallett P, K. Kňava, and M. Sebíň. "Spatial variability of water repellency in pine forest soil." Soil and Water Research 3, Special Issue No. 1 (2008): S123—S129. http://dx.doi.org/10.17221/11/2008-swr.

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The variability of water repellency of pine-forest arenic regosols and its influence on infiltration processes were measured in southwest Slovakia. The water drop penetration time (WDPT) tests of soil water repellency and infiltration tests with a miniature tension infiltrometer (3 mm diameter) were performed. Large differences in infiltration were observed over centimetre spatial resolution, with WDPT tests suggesting water repellency varying from extreme to moderate levels. For soils with severe to extreme water repellency determined with WDPT, steady state infiltration was not reached in te

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Obalum, S. E., J. Oppong, C. A. Igwe, Y. Watanabe, and M. E. Obi. "Spatial variability of uncultivated soils in derived savanna." International Agrophysics 27, no. 1 (2013): 57–67. http://dx.doi.org/10.2478/v10247-012-0068-9.

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Abstract The spatial variability of some physicochemical properties of topsoils/subsoils under secondary forest, grassland fallow, and bare-soil fallow of three locations was evaluated. The data were analyzed and described using classical statistical parameters. Based on the coefficient of variation, bulk density, total porosity, 60-cm-tension moisture content, and soil pH were of low variability. Coarse and fine sand were of moderate variability. Highly variable soil properties included silt, clay, macroporosity, saturated hydraulic conductivity, organic matter concentration, and cation excha

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Miller, R. D. "Intrinsic Mesoscopic Spatial Variability in Macroscopically Uniform Soils." Soil Science Society of America Journal 58, no. 5 (1994): 1364–67. http://dx.doi.org/10.2136/sssaj1994.03615995005800050012x.

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Dissertations / Theses on the topic "Spatial variability of soils"

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Young, Fred J. "Spatial variability of soil properties within a loess-covered, upland landscape /." free to MU campus, to others for purchase, 1996. http://wwwlib.umi.com/cr/mo/fullcit?p9823319.

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Kim, Hyunki. "Spatial variability in soils stiffness and strength /." Diss., Available online, Georgia Institute of Technology, 2005, 2005. http://etd.gatech.edu/theses/available/etd-07132005-194445/.

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Thesis (Ph. D.)--Civil and Environmental Engineering, Georgia Institute of Technology, 2006.<br>Mayne, Paul, Committee Member ; Frost, David, Committee Member ; Santamarina, Carlos, Committee Chair ; Rix, Glenn, Committee Member ; Ruppel, Carolyn, Committee Member.

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Hendrayanto. "Analyses on Spatial Variability in Hydraulic Properties of Forest Soils." Kyoto University, 1999. http://hdl.handle.net/2433/181882.

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Kyoto University (京都大学)<br>0048<br>新制・課程博士<br>博士(農学)<br>甲第7873号<br>農博第1031号<br>新制||農||775(附属図書館)<br>学位論文||H11||N3236(農学部図書室)<br>UT51-99-G467<br>京都大学大学院農学研究科森林科学専攻<br>(主査)教授水山高久, 教授三野徹, 教授吉田博宣<br>学位規則第4条第1項該当

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El-Haris, Mamdouh Khamis. "Soil spatial variability: Areal interpolations of physical and chemical parameters." Diss., The University of Arizona, 1987. http://hdl.handle.net/10150/184290.

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Four fields of 117 ha area located at the University of Arizona's Maricopa Agricultural Center were selected for this study. Two soil series, the Casa Grande sandy clay loam and Trix clay loam occur. Surface samples (0-25 cm) were collected on a 98 m interval and 3 rows providing 47 sites per field. Sites were classified either as surveying (32) or testing (15) in each of the four fields. Additional samples at 25-50, 50-75, 75-100, and 100-125 cm were obtained with duplicate surface undisturbed cores at 5 sites per field. Soil parameters include bulk density, saturated hydraulic conductivity,

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Okae-Anti, Daniel Theophilus Akwa. "Spatial variability studies in relation to pedogenic processes in alluvial soils." Thesis, University of Reading, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.239027.

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Saez, Carolin Cordova. "Spatial variability of soil organic matter fractions in arable and grassland soils - implications for soil N supply." Thesis, University of Reading, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.542058.

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Huang, Xuewen. "Analysis of effects of soil properties, topographical variables and management practices on spatial-temporal variability of crop yields." Diss., Connect to online resource - MSU authorized users, 2008.

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Parker, Ronald Dean 1948. "The effect of spatial variability on output from the water erosion prediction project soil erosion computer model." Diss., The University of Arizona, 1991. http://hdl.handle.net/10150/191165.

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Spatial variability is all that stands between hydrology and science, forcing us to deal in probabilities and averages. Because of scale, we can not consider forces on individual soil particles, water molecules and solute ions when addressing human size problems. We must therefore look at aggregate properties and mean values for parameters and inputs in computer modeling of hydrologic phenomena. This research explores the impact of spatially variable inputs on the Water Erosion Prediction Project soil erosion computer program. Distributions of input variables are generated and assigned randoml

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Schöning, Ingo. "Organic matter stocks in temperate forest soils composition, radiocarbon age and spatial variability /." [S.l.] : [s.n.], 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=978952839.

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Suliman, Ahmed Saeid Ahmed. "Spectral and spatial variability of the soils on the Maricopa Agricultural Center, Arizona." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184678.

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Dry and wet fine earth spectral measurements were made on the Ap soil surface horizons on the Maricopa Agricultural Center by using a Barnes Modular Multiband Radiometer. Three subsets were used in the analyses 552, 101 and 11. There were three soil series, Casa Grande, Shontik and Trix, four soil mapping units, and three texture classes identified on the farm. The wet soil condition reduced the amplitude of the spectral curves over the entire spectrum range (0.45 to 2.35 μm). The spectral curves were statistically related to the soil mapping units to determine if the soil mapping units and te

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Books on the topic "Spatial variability of soils"

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Maji, A. K. Acid soils of India: Their extent and spatial variability. National Bureau of Soil Survey and Land Use Planning, Indian Council of Agricultural Research, 2012.

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Bowers, Fred Howard. Effects of windthrow on soil properties and spatial variability in southeast Alaska. United States Dept. of Agriculture, Forest Service, Alaska Region, 1987.

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L, Baehr Arthur, and Geological Survey (U.S.), eds. Estimating spatial variability of recharge in southern New Jersey from unsaturated-zone measurements. U.S. Dept. of the Interior, U.S. Geological Survey, 2003.

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DeLiberty, Tracy L. Spatial and temporal variability of soil moisture in Oklahoma. C.W. Thornthwaite Associates, Laboratory of Climatology, 1994.

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5

Sukop, Michael. Retention of pesticides by alluvial soils in western Washington: Experimental variables, relation to soil properties, and spatial variability. State of Washington Water Research Center, Washington State University and the University of Washington, 1989.

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6

Hansen, S. Spatial variability of soil physical properties: Theoretical and experimental analyses : II. Soil water variables--data acquisition, processing and basic statistics. Dept. of Soil and Water and Plant Nutrition, Royal Veterinary and Agricultural University, 1988.

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Knox, Nichola Maria. Observing temporal and spatial variability of forage quality. ITC, 2010.

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8

Mausbach, M. J., and L. P. Wilding, eds. Spatial Variabilities of Soils and Landforms. Soil Science Society of America, 1991. http://dx.doi.org/10.2136/sssaspecpub28.

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J, Mausbach Maurice, Wilding Larry P, Soil Science Society of America. Division S-5., and International Society of Soil Science., eds. Spatial variabilities of soils and landforms. Soil Science Society of America, 1991.

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10

L, Tuttle M., ed. Geochemical variability of soils and biogeochemical variability of plants in the Piceance Basin, Colorado. U.S. G.P.O., 1985.

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Book chapters on the topic "Spatial variability of soils"

1

Zhang, Jie, Te Xiao, Jian Ji, Peng Zeng, and Zijun Cao. "Spatial Variability of Soils." In Geotechnical Reliability Analysis. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6254-7_5.

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Rate, Andrew W. "Spatial Variability and Data Analysis in Urban Soils." In Urban Soils. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-87316-5_3.

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Wilding, L. P., and L. R. Drees. "Spatial Variability: A Pedologist's Viewpoint1." In Diversity of Soils in the Tropics. American Society of Agronomy and Soil Science Society of America, 2015. http://dx.doi.org/10.2134/asaspecpub34.c1.

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Czajka, Michał, Stanisław Podsiadłowski, Alfred Stach, and Ryszard Walkowiak. "Spatial Variability of Light Morainic Soils." In Land Degradation and Desertification: Assessment, Mitigation and Remediation. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-8657-0_38.

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Görres, Josef H. "Soil: Spatial Variability." In Landscape and Land Capacity. CRC Press, 2020. http://dx.doi.org/10.1201/9780429445552-37.

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Bresler, Eshel. "Soil Spatial Variability." In Agronomy Monographs. American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/agronmonogr31.c8.

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Yost, R. S., X. Wang, R. E. Green, C. Sangchyoswat, and C. S. Smith. "Incorporating spatial variability into existing soils databases." In Assessment of Non‐Point Source Pollution in the Vadose Zone. American Geophysical Union, 1999. http://dx.doi.org/10.1029/gm108p0107.

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Nielsen, D. R., P. J. Wierenga, and J. W. Biggar. "Spatial Soil Variability and Mass Transfers from Agricultural Soils." In SSSA Special Publications. Soil Science Society of America and American Society of Agronomy, 2015. http://dx.doi.org/10.2136/sssaspecpub11.c5.

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Arya, S., and P. K. Jayasree. "Spatial Variability Mapping of Soils in Thiruvananthapuram Taluk." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-9823-0_7.

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Bolle, A. "How to Manage the Spatial Variability of Natural Soils." In Probabilities and Materials. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1142-3_41.

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Conference papers on the topic "Spatial variability of soils"

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Hendrickx, Jan M. H., Brian Borchers, J. Woolslayer, Louis W. Dekker, Coen Ritsema, and S. Paton. "Spatial variability of dielectric properties in field soils." In Aerospace/Defense Sensing, Simulation, and Controls, edited by Abinash C. Dubey, James F. Harvey, J. Thomas Broach, and Vivian George. SPIE, 2001. http://dx.doi.org/10.1117/12.445491.

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Mason, George L., and Christopher Cummins. "Spatial variability of soils in support of countermine operations." In Defense and Security, edited by Russell S. Harmon, J. Thomas Broach, and John H. Holloway, Jr. SPIE, 2005. http://dx.doi.org/10.1117/12.604349.

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Santos, Mariana Gonçalves. "SOIL FERTILITY ANALYSIS" REFERS TO THE ASSESSMENT OF SOIL'S CAPACITY TO PROVIDE ESSENTIAL NUTRIENTS FOR PLANT GROWTH." In Second Southern Science Conference - 2024. Araucária - Associação Científica, 2024. https://doi.org/10.48141/sscon_66_2024.pdf.

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Understanding soil fertility variability in cultivated areas provides important insights for the rational use of soil amendments and fertilizers. This study aims to evaluate changes in the spatial variability of soil chemical properties resulting from intensive vegetable cultivation over more than 50 years in mountain agroecosystems in Nova Friburgo, Rio de Janeiro. The creation of maps for each attribute allowed visualization of its spatial distribution in the area, which is not possible when using only descriptive statistical analysis. The soil's chemical and physical attributes showed spati

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Liu, Yong, Yanan Ding, Guan Chen, and Jiang Tao Yi. "Quantitative Risk Assessment on Landslides Considering Spatial Variability of Soils." In Proceedings of the 29th European Safety and Reliability Conference (ESREL). Research Publishing Services, 2019. http://dx.doi.org/10.3850/978-981-11-2724-3_1065-cd.

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Lu, Guanghui, Qingdong Shi, Xiaoling Pan, Weiqing Li, Xiwu Zhan, and Shunli Chang. "Spatial variability of soils in vegetation zone of Fukang oasis." In Optical Science and Technology, SPIE's 48th Annual Meeting. SPIE, 2004. http://dx.doi.org/10.1117/12.511846.

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Kravtsova, N. E. "SPATIAL VARIABILITY OF INDICATORS OF THE PHOSPHORUS STATE OF CHERNOZEMS OF THE LOWER DON UNDER." In STATE AND DEVELOPMENT PROSPECTS OF AGRIBUSINESS. DSTU-PRINT, 2020. http://dx.doi.org/10.23947/interagro.2020.1.172-174.

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The development of measures aimed at the rational use of the phosphate Fund of soils is relevant, especially in the ecological and agrochemical aspect. Studies of spatial variability of indicators of the phosphoric state of ordinary chernozems of the Lower don are carried out. A data Bank of indicators of the phosphorus regime of the studied soils was formed. It was found that high variability in the composition of mineral phosphates is more typical for arable horizons. Down the profile, the variability decreases. The lowest level of natural variability is observed in the AB horizon of the stu

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Luo, Zhe, Biao Hu, and Youwen Wang. "Excavation-Induced Structural Responses Due to Inherent Spatial Variability of Soils." In Eighth International Conference on Case Histories in Geotechnical Engineering. American Society of Civil Engineers, 2019. http://dx.doi.org/10.1061/9780784482155.018.

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Campello, Izabela Couto, Maria Das Graças Gardoni, Karla Cristina Araujo Pimentel, and Andre Assis. "Characterization of Vertical Spatial Variability of Soils Using CPTu Data Exploration." In International Symposium for Geotechnical Safety & Risk. Research Publishing Services, 2022. http://dx.doi.org/10.3850/978-981-18-5182-7_00-03-010.xml.

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Govindaraju, R. S., and K. V. Nedunuri. "Geostatistical Analysis of TPH Degradation in Field Soils." In ASME 1998 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/imece1998-0988.

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Abstract Evaluation of remediation strategies in the field is difficult because of the inherent spatial heterogeneity in the hydraulic and chemical properties of the soil. In this study, total petroleum hydrocarbon (TPH) degradation was monitored over a field site with three vegetative treatment plots, and one control plot undergoing natural attenuation. First-order kinetics were assumed applicable at the local scale. The degradation rates and the initial contaminant concentrations were treated as spatially correlated random fields. Our results indicate the importance of spatial variability fo

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Shen, Guangrong, Jingjing Xu, Zhenhua Qian, and Apostolos Sarris. "Spatial variability of trace elements in agricultural soils of Chongming, Shanghai(China)." In 2009 17th International Conference on Geoinformatics. IEEE, 2009. http://dx.doi.org/10.1109/geoinformatics.2009.5293441.

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Reports on the topic "Spatial variability of soils"

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Zhang, Renduo, and David Russo. Scale-dependency and spatial variability of soil hydraulic properties. United States Department of Agriculture, 2004. http://dx.doi.org/10.32747/2004.7587220.bard.

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Water resources assessment and protection requires quantitative descriptions of field-scale water flow and contaminant transport through the subsurface, which, in turn, require reliable information about soil hydraulic properties. However, much is still unknown concerning hydraulic properties and flow behavior in heterogeneous soils. Especially, relationships of hydraulic properties changing with measured scales are poorly understood. Soil hydraulic properties are usually measured at a small scale and used for quantifying flow and transport in large scales, which causes misleading results. The

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Workman, Austin, and Jay Clausen. Meteorological property and temporal variable effect on spatial semivariance of infrared thermography of soil surfaces for detection of foreign objects. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41024.

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The environmental phenomenological properties responsible for the thermal variability evident in the use of thermal infrared (IR) sensor systems is not well understood. The research objective of this work is to understand the environmental and climatological properties contributing to the temporal and spatial thermal variance of soils. We recorded thermal images of surface temperature of soil as well as several meteorological properties such as weather condition and solar irradiance of loamy soil located at the Cold Regions Research and Engineering Lab (CRREL) facility. We assessed sensor perf

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Jury, William A., and David Russo. Characterization of Field-Scale Solute Transport in Spatially Variable Unsaturated Field Soils. United States Department of Agriculture, 1994. http://dx.doi.org/10.32747/1994.7568772.bard.

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This report describes activity conducted in several lines of research associated with field-scale water and solute processes. A major effort was put forth developing a stochastic continuum analysis for an important class of problems involving flow of reactive and non reactive chemicals under steady unsaturated flow. The field-scale velocity covariance tensor has been derived from local soil properties and their variability, producing a large-scale description of the medium that embodies all of the local variability in a statistical sense. Special cases of anisotropic medium properties not alig

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Russo, David, and William A. Jury. Characterization of Preferential Flow in Spatially Variable Unsaturated Field Soils. United States Department of Agriculture, 2001. http://dx.doi.org/10.32747/2001.7580681.bard.

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Preferential flow appears to be the rule rather than the exception in field soils and should be considered in the quantitative description of solute transport in the unsaturated zone of heterogeneous formations on the field scale. This study focused on both experimental monitoring and computer simulations to identify important features of preferential flow in the natural environment. The specific objectives of this research were: (1) To conduct dye tracing and multiple tracer experiments on undisturbed field plots to reveal information about the flow velocity, spatial prevalence, and time evol

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Clausen, Jay, Susan Frankenstein, Jason Dorvee, et al. Spatial and temporal variance of soil and meteorological properties affecting sensor performance—Phase 2. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41780.

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An approach to increasing sensor performance and detection reliability for buried objects is to better understand which physical processes are dominant under certain environmental conditions. The present effort (Phase 2) builds on our previously published prior effort (Phase 1), which examined methods of determining the probability of detection and false alarm rates using thermal infrared for buried-object detection. The study utilized a 3.05 × 3.05 m test plot in Hanover, New Hampshire. Unlike Phase 1, the current effort involved removing the soil from the test plot area, homogenizing the mat

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Anderson, Andrew, and Mark Yacucci. Inventory and Statistical Characterization of Inorganic Soil Constituents in Illinois: Appendices. Illinois Center for Transportation, 2021. http://dx.doi.org/10.36501/0197-9191/21-007.

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This report presents detailed histograms of data from the Regulated Substances Library (RSL) developed by the Illinois Department of Transportation (IDOT). RSL data are provided for state and IDOT region, IDOT district, and county spatial subsets to examine the spatial variability and its relationship to thresholds defining natural background concentrations. The RSL is comprised of surficial soil chemistry data obtained from rights-of-way (ROW) subsurface soil sampling conducted for routine preliminary site investigations. A selection of 22 inorganic soil analytes are examined in this report:

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Ziegler, Nancy, Nicholas Webb, John Gillies, et al. Plant phenology drives seasonal changes in shear stress partitioning in a semi-arid rangeland. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47680.

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Accurate representation of surface roughness in predictive models of aeolian sediment transport and dust emission is required for model accuracy. While past studies have examined roughness effects on drag partitioning, the spatial and temporal variability of surface shear velocity and the shear stress ratio remain poorly described. Here, we use a four-month dataset of total shear velocity (u*) and soil surface shear velocity (us*) measurements to examine the spatiotemporal variability of the shear stress ratio (R) before, during, and after vegetation green-up at a honey mesquite (Prosopis glan

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Sprague, R. A. Spatial Correlation of Ionospheric Variability. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada278105.

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Sparrow, Kent, and Sandra LeGrand. Establishing a series of dust event case studies for North Africa. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/46445.

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Dust aerosols often create hazardous air quality conditions that affect human health, visibility, agriculture, and communication in various parts of the world. While substantial progress has been made in dust-event simulation and hazard mitigation over the last several decades, accurately forecasting the spatial and temporal variability of dust emissions continues to be a challenge. This report documents an analysis of atmospheric conditions for a series of dust events in North Africa. The researchers highlight four analyzed events that occurred between January 2016 to present in the following

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Baxter, W., Amanda Barker, Samuel Beal, et al. A comprehensive approach to data collection, management, and visualization for terrain characterization in cold regions. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48212.

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As global focus shifts to northern latitudes for their enhanced access to newly viable resources, US Army operational readiness in these extreme environments is increasingly important. Rapid and accurate intelligence on the conditions influencing operations in these regions is essential to mission success and warfighter safety. Arctic and boreal environments are highly heterogeneous, including changing extents of frozen versus thawing ground, snow, and ice that affect ground trafficability and visibility, terrain physics, and physicochemical properties of water and soil. Furthermore, projected

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