Academic literature on the topic 'Soil moisture index (SMI)'

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Journal articles on the topic "Soil moisture index (SMI)"

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Irenasari, Almira Harwidya, and S. Soemarno. "Soil Moisture Assessment Using Soil Moisture Index (SMI) Method at the Bangelan Coffee Plantation, Malang Regency, East Java." Jurnal Tanah dan Sumberdaya Lahan 9, no. 1 (2022): 1–12. http://dx.doi.org/10.21776/ub.jtsl.2022.009.1.1.

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Water is one of the limiting factors in the growth of coffee plants. If plants experience a lack of water, it can inhibit plant growth and, at a critical level, can lead to drought stress and plant damages. The available soil water to plants can be estimated from the level of soil moisture index. The monitoring of soil moisture status can be used in improving the management of coffee plantations. Soil Moisture Index (SMI) is a method that can be used to estimate the level of soil moisture using remote sensing technology using NDVI and LST values. The purpose of this study was to analyze the st
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Zeng, J., K. S. Chen, C. Cui, and H. Bi. "DEVELOPMENT AND VALIDATION OF A NEW PASSIVE MICROWAVE BASED SOIL MOISTURE INDEX." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2020 (August 3, 2020): 125–31. http://dx.doi.org/10.5194/isprs-annals-v-3-2020-125-2020.

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Abstract. Knowledge on the spatial-temporal variation of soil moisture is essential to many hydrometeorology applications. In this study, we proposed a new soil moisture index (SMI) from passive microwave observations, aiming to capture the soil moisture variability. The new SMI is developed based on the underlying physical basis that vegetation and surface roughness exert similar effects on the variation of land surface emissivity and microwave polarization difference radio (MPDI), but they act in an opposite way compared with soil moisture. Hence, we can obtain the SMI value in a two-dimensi
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Noraisyah, Tajudin, Ya'acob Norsuzila, Mohd Ali Darmawaty, and Aizam Adnan Nor. "Soil moisture index estimation from Landsat 8 images for prediction and monitoring landslide occurrences in Ulu Kelang, Selangor, Malaysia." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 3 (2021): 2101–8. https://doi.org/10.11591/ijece.v11i3.pp2101-2108.

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Soil moisture is one of the contributing factors that accelerates soil erosion and landslide events due to the increase in pore pressure which eventually reduces the soil strength. For landslide prediction and monitoring purposes, large-scale measurement involves estimating the soil moisture. However, estimation of soil moisture usually involves point-based measurements at a particular site and time, which is difficult to capture the spatial and temporal soil moisture dynamics. This paper presents the estimation of the SMI using Landsat 8 images for prediction and monitoring of landslide event
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Sholihah, Rizqi I’anatus, Nur Etika Karyati, Bambang H. Trisasongko, Dyah R. Panuju, La Ode S. Iman, and Desi Nadalia. "Estimating soil moisture condition of paddy fields by using optical remote sensing imagery." IOP Conference Series: Earth and Environmental Science 1109, no. 1 (2022): 012067. http://dx.doi.org/10.1088/1755-1315/1109/1/012067.

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Abstract Soil moisture is essential in monitoring agricultural lands, particularly in Jember, East Java which serves as one of Indonesian rice-producing regions. Scarcity of information related to the environment crucial to rice planting is evident. This includes detailed growth phase and soil moisture, where their estimation could be done through exploiting remote sensing data. This study aims to estimate soil moisture condition on paddy fields in selected study areas by applying Landsat 8 OLI/TIRS data, acquired in 2021. Thermal band of Landsat 8 was utilized to derive the Soil Moisture Inde
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Abdulkadir, T.S., M.E. Abioye, O.O. Olofintoye, et al. "GIS-Based Impact Assessment of Landscape Characteristics on Soil Moisture Distribution in Mambilla Plateau, Taraba State, Nigeria." Nigerian Research Journal of Engineering and Environmental Sciences 9, no. 2 (2024): 813–24. https://doi.org/10.5281/zenodo.14566246.

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<em>Soil moisture is a crucial parameter linked to environmental issues like drought, erosion, flood and landslide. Its significance necessitates the need to understand the variables that could influence its distribution especially in a rugged watershed. Thus, this study assessed the impact of landscape characteristics such as slope, aspect, elevation and soil texture on the spatial distribution of soil moisture index in Mambilla Plateau, Nigeria. Landsat 8 data was applied to evaluate soil moisture, Digital Elevation Model for the landscape characteristics and digital soil map for soil textur
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Jajarmizadeh, Milad, Sobri bin Harun, Shamsuddin Shahid, Shatirah Akib, and Mohsen Salarpour. "Impact of Direct Soil Moisture and Revised Soil Moisture Index Methods on Hydrologic Predictions in an Arid Climate." Advances in Meteorology 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/156172.

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The soil and water assessment tool (SWAT) is a physically based model that is used extensively to simulate hydrologic processes in a wide range of climates around the world. SWAT uses spatial hydrometeorological data to simulate runoff through the computation of a retention curve number. The objective of the present study was to compare the performance of two approaches used for the calculation of curve numbers in SWAT, that is, the Revised Soil Moisture Index (SMI), which is based on previous meteorological conditions, and the Soil Moisture Condition II (SMCII), which is based on soil feature
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Tajudin, Noraisyah, Norsuzila Ya'acob, Darmawaty Mohd Ali, and Nor Aizam Adnan. "Soil moisture index estimation from landsat 8 images for prediction and monitoring landslide occurrences in Ulu Kelang, Selangor, Malaysia." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 3 (2021): 2101. http://dx.doi.org/10.11591/ijece.v11i3.pp2101-2108.

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Soil moisture is one of the contributing factors that accelerates soil erosion and landslide events due to the increase in pore pressure which eventually reduces the soil strength. For landslide prediction and monitoring purposes, large-scale measurement involves estimating the soil moisture. However, estimation of soil moisture usually involves point-based measurements at a particular site and time, which is difficult to capture the spatial and temporal soil moisture dynamics. This paper presents the estimation of the SMI using Landsat 8 images for prediction and monitoring of landslide event
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Hou, Jiawen, and Mao Ye. "Effects of Dynamic Changes of Soil Moisture and Salinity on Plant Community in the Bosten Lake Basin." Sustainability 14, no. 21 (2022): 14081. http://dx.doi.org/10.3390/su142114081.

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To estimate the potential risks of plant diversity reduction and soil salinization in the Bosten Lake Basin, the dynamic changes in the plant community and species diversity affected by soil moisture and salinity were analyzed from 2000 to 2020 based on remote sensing technology and field experiments. A model for simulating soil moisture, salinity, and the productivity of the plant communities was proposed. The results demonstrated that: (1) The soil moisture index (SMI) increased but the soil salinity index (SSI) decreased from 2000 to 2020 in the study areas. Accordingly, the plant community
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Arif, Nursida, and Yusuf Susena. "Soil moisture mapping for drought monitoring in urban areas." IOP Conference Series: Earth and Environmental Science 1314, no. 1 (2024): 012087. http://dx.doi.org/10.1088/1755-1315/1314/1/012087.

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Abstract Soil moisture is an important indicator for drought monitoring. Mapping of soil moisture in this study uses remote sensing, namely Landsat 9 OLI imagery, because it can be relied upon as a cheap source of information, and its good temporal resolution or revisit period. Two parameters indirectly related to soil moisture, namely vegetation were analyzed using the Normalized Difference Vegetation Index (NDVI) approach, and land surface temperature (LST). Drought analysis was verified using the Normalized Difference Drought Index (NDDI). The remote sensing imagery used in this study is La
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Zeri, Marcelo, Regina S. Alvalá, Rogério Carneiro, et al. "Tools for Communicating Agricultural Drought over the Brazilian Semiarid Using the Soil Moisture Index." Water 10, no. 10 (2018): 1421. http://dx.doi.org/10.3390/w10101421.

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Soil moisture over the Brazilian semiarid region is presented in different visualizations that highlight spatial, temporal and short-term agricultural risk. The analysis used the Soil Moisture Index (SMI), which is based on a normalization of soil moisture by field capacity and wilting point. The index was used to characterize the actual soil moisture conditions into categories from severe drought to very wet. In addition, the temporal evolution of SMI was implemented to visualize recent trends in short-term drought and response to rainfall events at daily time steps, as new data are available
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Dissertations / Theses on the topic "Soil moisture index (SMI)"

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Zeywar, Nadim Shukry 1959. "Effect of sensor placement on the relationships of crop water stress index, soil moisture tension and soil moisture content." Thesis, The University of Arizona, 1988. http://hdl.handle.net/10150/191981.

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A field experiment was conducted to investigate the feasibility of making one measurement of soil moisture tension/content or crop water stress index (CWSI), and from it determine when and how much to irrigate. Cotton (Gossvpium hirsutum C.V. DPL-90) was planted in a sandy loam soil prepared with an underground drip irrigation system. Measurements of soil moisture tension, soil moisture content, plant temperature, and wet- and dry-bulb temperatures were made. The results indicate that soil moisture tension above 0.30 m and soil moisture content above 0.50 m in the root zone can be used as good
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Roberson, Travis Leon. "Improving Soil Moisture Assessment of Turfgrass Systems Utilizing Field Radiometry." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/87391.

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The need for water conservation continues to increase as global freshwater resources dwindle. In response, many golf course superintendents are implementing new methods and tools to become more frugal with their water applications. For example, scheduling irrigation using time-domain reflectometer (TDR) soil moisture sensors can decrease water usage. Still, TDR measurements are time-consuming and only cover small scales, leading to many locations being unsampled. Remotely sensed data such as the normalized difference vegetation index (NDVI) offer the potential of estimating moisture stress acr
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White, William Patrick. "Soil moisture, fire, and tree community structure." Wright State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=wright1301936875.

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Guan, Zhi Wei 1953. "Soil moisture approximation using thermal inertia maps : verification study on the relationship between HCMM observations and antecedent precipitation index for St. Lawrence Lowland of Southern Quebec." Thesis, McGill University, 1989. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=55601.

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Luo, Lei. "Proposing an improved surface dryness index to estimate soil moisture based on the temperature vegetation dryness index." Thesis, Kansas State University, 2016. http://hdl.handle.net/2097/34605.

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Master of Arts<br>Department of Geography<br>Douglas Goodin<br>In this thesis, I proposed a new surface dryness index based on the slope of soil moisture isolines in the Land Surface Temperature/Normalized Difference Vegetation Index (LST/NDVI) feature space. This index, referred to here as Dryness Slope Index (DSI), overcomes the problem of Temperature Vegetation Dryness Index (TVDI) having different basis when calculating TVDI values across different images. This problem is rooted in the definition of TVDI whose calculation depends on the position of the “dry edge” and “wet edge” of pixels’
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McKellar, Trevor T., and Trevor T. McKellar. "Evaluating How Representative Simple Multiscalar Drought Indices Are of Modeled Soil Moisture Across the Desert Southwest United States." Thesis, The University of Arizona, 2017. http://hdl.handle.net/10150/622900.

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Drought indices based on monthly precipitation and sometimes temperature are widely used due to their simple calculation with readily available climate data. The portrayal of drought through simple precipitation anomalies or water balances when accounting for temperature may not capture the potentially complex evolution of drought events due to the timing, intensity, and frequency of precipitation events at the daily scale. In this study, we present a new drought index that incorporates a deterministic soil model, HYDRUS-1D, and daily climate data to assess how representative simple drought i
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Copeland, Stephen Mark 1955. "Soil water potential as related to the Crop Water Stress Index of irrigated cotton." Thesis, The University of Arizona, 1989. http://hdl.handle.net/10150/276940.

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The application of the crop water stress index (CWSI) method to irrigation scheduling is enhanced by knowledge of the relationship between CWSI and soil water potential (SWP) and how this relationship is affected by soil texture. A study using the same cultivar of cotton on three different soils was conducted in southern Arizona over a single growing season. Detailed data were collected of CWSI and soil moisture content for several treatments that scheduled irrigations at threshold CWSI values. CWSI was correlated with soil water potential values calculated from pressure plate determined moist
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Ahlmer, Anna-Klara. "Integrating remotely sensed hydrologic parameters into an index of sediment connectivity." Thesis, KTH, Hållbar utveckling, miljövetenskap och teknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235791.

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The expected increase in precipitation and temperature in Scandinavia, and especially short-time heavy precipitation, will increase the frequency of flooding. Urban areas are the most vulnerable, and specifically, the road infrastructure. The accumulation of large volumes of water and sediments on road-stream intersections gets severe consequences for the road drainage structures. The need for a tool to identify characteristics that impacts the occurrence of flooding, and to predict future event is thus essential. This study integrates the spatial and temporal soil moisture properties into the
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Klinka, Karel, Gordon J. Kayahara, and Christine Chourmouzis. "Relationship of site index to estimates of soil moisture and nutrients for western redcedar in south coastal British Columbia." Forest Sciences Department, University of British Columbia, 1997. http://hdl.handle.net/2429/765.

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Where timber production is the primary management objective, knowledge of the relationship between the potential productivity of candidate tree species and levels of light, heat, nutrient, moisture and aeration is necessary for species- and site-specific decision making. For example, foresters need to decide which tree species to regenerate on a particular harvested area to obtain maximum sustainable productivity. Similarily, when considering the application of silvicultural treatments such as spacing or fertilizing, foresters need to determine whether the potential productivity of a particul
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Klinka, Karel, R. E. (Reid E. ). Carter, and Christine Chourmouzis. "Relationships between coastal Douglas-fir site index and synoptic categorical measures of site quality." Forest Sciences Department, University of British Columbia, 2001. http://hdl.handle.net/2429/682.

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Knowledge of ecological characteristics of trees, sites and tree growth on different sites is fundamental for silvicultural decision-making and planning. With the biogeoclimatic ecosystem classification in place, silvicultural management in British Columbia has been given an ecological foundation; however, relationships between growth and site have not yet been fully investigated. The purpose of this study was to determine how height growth of Douglas-fir within the drier portion of the CWH zone varies with site. We adopted site index (m @ 50 yr bh) as a species-specific measure of forest p
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Book chapters on the topic "Soil moisture index (SMI)"

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Singh, Gurjeet, and Deepak Singh Bisht. "Soil Moisture–Vegetation Stress–Based Agricultural Drought Index Integrating Remote Sensing–Derived Soil Moisture and Vegetation Indices." In Integrated Drought Management, Volume 2. CRC Press, 2023. http://dx.doi.org/10.1201/9781003276548-24.

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Enenkel, Markus, Daniel Osgood, and Bristol Powell. "The Added Value of Satellite Soil Moisture for Agricultural Index Insurance." In Remote Sensing of Hydrometeorological Hazards. CRC Press, 2017. http://dx.doi.org/10.1201/9781315154947-4.

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John, Jeenu, R. Jaganathan, and D. S. Dharshan Shylesh. "Mapping of Soil Moisture Index Using Optical and Thermal Remote Sensing." In Lecture Notes in Civil Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80312-4_65.

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Guo, Ying, and Wei Shan. "The Effect of Freeze–Thaw and Moisture on Soil Strength Index of Cutting Slope." In Environmental Science and Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29107-4_20.

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Asada, Honoka, and Kohei Araki. "Development and Geographical Evaluation of Slope Failure Risk Index Due to Changes of Soil Moisture." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9219-5_25.

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Zhang, Jiahua, Zhengming Zhou, Fengmei Yao, and Zhenming He. "Monitoring Soil Moisture in Typical North China Region Using Modified Perpendicular Drought Index and MODIS Satellite Data." In Geo-Informatics in Resource Management and Sustainable Ecosystem. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-45025-9_35.

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Yin, Jianliang, Zhikui Liu, Zhanfei Gu, Yan Yan, Yong Xiong Xie, and Bingyan Huang. "Effect of Dry-Wet Cycling on Shear Strength of Phyllite-Weathered Soil in Longsheng, Guilin." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1748-8_42.

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AbstractThe phyllite-weathered soil is a regional speciality. It is essential to study the changes in shear strength of phyllite-weathered soil under dry-wet cycles to understand the changes in mechanical properties of phyllite-weathered soil in the process of dry-wet climate and to manage the slope of phyllite-weathered soil. This paper simulated 12 dry-wet cycles on the specimens of remodelled phyllite-weathered soil. Direct shear and SEM tests were conducted on the specimens in the 0th, 3rd, 6th, 9th, and 12th drying paths. The effects of moisture content and the number of dry-wet cycles on
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Santeramo, F. G., T. Balezentis, and M. Tappi. "Weather and Yield Index-Based Insurance Schemes in the EU Agriculture: A Focus on the Agri-CAT Fund." In Springer Actuarial. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-80574-5_3.

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Abstract Agriculture is the most vulnerable sector to climate change, e.g., temperatures or rainfall may significantly affect the crop yields, also leading the proliferation of pathogens and hence pests and diseases [1]. The total economic losses from weather- and climate-related have caused damages reaching nearly 487 billion of euros in EEA member countries since 1980, and just 3% of all events are responsible for 60% of economic losses [2]. Extreme weather events such as heavy precipitation, flood, drought, frost, heat, and strong wind are more and more frequent, intense, long-lasting, and
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"Index." In Satellite Soil Moisture Retrieval. Elsevier, 2016. http://dx.doi.org/10.1016/b978-0-12-803388-3.09990-3.

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"Index." In Remote Sensing of Energy Fluxes and Soil Moisture Content. CRC Press, 2013. http://dx.doi.org/10.1201/b15610-26.

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Conference papers on the topic "Soil moisture index (SMI)"

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Bao, Xin, Rui Zhang, Renzhe Wu, Xu He, Ruikai Hong, and Guoxiang Liu. "Soil Moisture Retrieval in Cropland Using Dual-Polarization SAR Vegetation Index." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641562.

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Skliar, Viktoriia, Nataliia Yaroshenko, Maryna Sherstiuk, and Yurii Skliar. "SIZE AND VITALITY CHARACTERISTICS OF STELLARIA HOLOSTEA L. PLANTS AND POPULATIONS IN DESNIANSKO-STAROHUTSKYI NATIONAL NATURE PARK." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024v/3.2/s13.38.

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The study of coenotic species in forest herb layers enables detection of ecosystem-level changes, with research in protected areas providing a foundation for long-term monitoring. This study assessed Stellaria holostea L. populations in forest phytocoenoses of Desniansko-Starohutskyi National Nature Park, typical of the Sumy Polissia region. Populations were surveyed in various forest types: Pinetum (sylvestris) convallarioso (majalis) � hylocomiosum, Pinetum (sylvestris) vaccinioso (myrtilli) � moliniosum (caeruleae), Pinetum (sylvestris) vaccinioso (myrtilli) � sphagnosum, Betuletum (pendula
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Jasim, Basheer S., Oday Z. Jasim, and Amjed N. AL-Hameedawi. "Calculation soil moisture index (SMI) from Landsat-5 thematic mapper (TM) satellite images." In THE 5TH INTERNATIONAL CONFERENCE ON BUILDINGS, CONSTRUCTION, AND ENVIRONMENTAL ENGINEERING: BCEE5. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0236187.

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Arfaansyah, Teddy, Iqbal Putut, and Muhammad Dimyati. "Agricultural drought identification based on Soil Moisture Index (SMI) during 2019 Indian Ocean Dipole (IOD) in Bekasi Regency." In Seventh Geoinformation Science Symposium, edited by Pramaditya Wicaksono and Sandy Budi Wibowo. SPIE, 2021. http://dx.doi.org/10.1117/12.2623397.

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Ilcheva, Irena, Anna Yordanova, Lubenova Lubenova, Gergana Drumeva, and Vesela Rainova. "APPROACH AND INDICATOR SYSTEM FOR ASSESSMENT THE IMPACTS OF RESERVOIRS AND PROLONGED DROUGHT IDENTIFICATION IN BULGARIA FOR WATER FRAMEWORK DIRECTIVE." In 22nd SGEM International Multidisciplinary Scientific GeoConference 2022. STEF92 Technology, 2022. http://dx.doi.org/10.5593/sgem2022/3.1/s12.07.

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Drought indicator systems help decision-makers to understand how and where the drought occurred and to take measures from the Drought Management Plans. The main goal in the Water Framework Directive (WFD) is the achievement �good ecological status�, but the Article 4.6 allows temporary deterioration of the status, occurred as a result of so called �prolonged drought�. Reduction of natural water resources such as rivers, lakes, aquifers, is associated with the reduction in available water resources for water supply, environment, etc. (so called �socio � economic� drought). The severity of the �
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Liu, L. S., and J. C. Shi. "Soil Moisture Variations Monitoring Using New Microwave Soil Moisture Index (MSMI)." In 2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE). IEEE, 2012. http://dx.doi.org/10.1109/rsete.2012.6260727.

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Alhamad, Mohammad N., and Shefaa M. Abdullah. "MODELING OF RANGELAND ECOSYSTEMS IN NORTHERN JORDAN." In 23rd SGEM International Multidisciplinary Scientific GeoConference 2023. STEF92 Technology, 2023. http://dx.doi.org/10.5593/sgem2023/3.1/s12.12.

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Grasslands is globally important vegetation type for providing feed resources for grazing animals. An improved understanding of the factors affecting the long-term productivity of the ecosystems will be beneficial, as well as to developing a better understanding of the role these ecosystems play in global environmental change. Arid and semi-arid Mediterranean grasslands provide valuable forage for grazing animals in the eastern part of the Mediterranean area and have been subjected to long-term unsustainable grazing practices, leading to degeneration of productivity and impacts plant community
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Zhitao Zhang, Lan Yubin, Chen Junying, and Li Yuannong. "Monitoring Soil Moisture Using Remote Sensing Humidity Index." In 2012 Dallas, Texas, July 29 - August 1, 2012. American Society of Agricultural and Biological Engineers, 2012. http://dx.doi.org/10.13031/2013.41914.

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Zribi, M., and N. Baghdadi. "A New Reflectivity Index for Surface Soil Moisture Estimation." In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2022. http://dx.doi.org/10.1109/igarss46834.2022.9883756.

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Dianjun Zhang, Zhao-Liang Li, Ronglin Tang, Bo-Hui Tang, and Hua Wu. "A remote sensing technique to determine the soil moisture saturation index." In IGARSS 2014 - 2014 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2014. http://dx.doi.org/10.1109/igarss.2014.6947180.

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Reports on the topic "Soil moisture index (SMI)"

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Pradhan, Nawa Raj. Estimating growing-season root zone soil moisture from vegetation index-based evapotranspiration fraction and soil properties in the Northwest Mountain region, USA. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42128.

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A soil moisture retrieval method is proposed, in the absence of ground-based auxiliary measurements, by deriving the soil moisture content relationship from the satellite vegetation index-based evapotranspiration fraction and soil moisture physical properties of a soil type. A temperature–vegetation dryness index threshold value is also proposed to identify water bodies and underlying saturated areas. Verification of the retrieved growing season soil moisture was performed by comparative analysis of soil moisture obtained by observed conventional in situ point measurements at the 239-km2 Reyno
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Pradhan, Nawa. Soil-moisture Estimation of Root Zone through Vegetation-Index-Based Evapotranspiration-Fraction and Soil-Properties (SERVES) user’s manual Version 1.0. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47399.

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The purpose of this user’s guide is to provide background methods and implementation guidance on the Soil-moisture Estimation of Root Zone through Vegetation-Index-Based Evapotranspiration-Fraction and Soil-Properties (SERVES) model (Pradhan 2019).
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Савосько, Василь Миколайович, Наталія Вікторівна Товстоляк, Юрій Васильович Лихолат, and Іван Панасович Григорюк. Structure and Diversity of Urban Park Stands at Kryvyi Rih Ore-Mining & Metallurgical District, Central Ukraine. Podgorica, 2020. http://dx.doi.org/10.31812/123456789/3946.

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The present study examines the relationships between structure (floristic composition, dendrometric parameters), diversity (diversity and evenness indexes) of urban forest park stands and the ecological (soil fertility, soil moisture), environmental factors (air pollution). The study is based on the forest park stands inventory data, performed from 2012 to 2017 in Kryvyi Rih City, Central Ukraine. The floristic compositions of the urban forest park stands are poor. There are only 23 species that belong to 14 families and 12 genera. More families were represented by at least more than 2% of tax
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Shivakumar, Pranavkumar, Kanika Gupta, Antonio Bobet, Boonam Shin, and Peter J. Becker. Estimating Strength from Stiffness for Chemically Treated Soils. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317383.

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Abstract:
The central theme of this study is to identify strength-stiffness correlations for chemically treated subgrade soils in Indiana. This was done by conducting Unconfined Compression (UC) Tests and Resilient Modulus Tests for soils collected at three different sites—US-31, SR-37, and I-65. At each site, soil samples were obtained from 11 locations at 30 ft spacing. The soils were treated in the laboratory with cement, using the same proportions used for construction, and cured for 7 and 28 days before testing. Results from the UC tests were compared with the resilient modulus results that were av
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Schofield, Ian S., Paul L. Brown, Mark J. Logsdon, and Matthew P. Wickham. Waste Rock Dump Characterization Studies at the Bingham Canyon Mine. Utah Geological Survey, 2024. http://dx.doi.org/10.34191/mp-179.

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Abstract:
The Bingham Canyon Mine, located near Salt Lake City, Utah, is surrounded by more than 6 billion tons of waste rock developed over the open cut mining history from 1903 to present; the surface area of the waste rock is approximately 5000 acres. Waste rock dumps have a thickness of more than 1 200 feet from crest to toe. From 1930 to 2000, selected portions of the waste rock dumps were commercially leached using a ferric-sulfate-based lixiviant to extract copper, whereas other portions have only received meteoric leaching. From 2011 to present, Rio Tinto Kennecott has studied the evolution and
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