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

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

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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2

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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5

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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7

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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8

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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9

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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10

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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Saha, Arnab, Manti Patil, Vikas Chandra Goyal, and Devendra Singh Rathore. "Assessment and Impact of Soil Moisture Index in Agricultural Drought Estimation Using Remote Sensing and GIS Techniques." Proceedings 7, no. 1 (2018): 2. http://dx.doi.org/10.3390/ecws-3-05802.

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Soil moisture takes an important part involving climate, vegetation and drought. This paper explains how to calculate the soil moisture index and the role of soil moisture. The objective of this study is to assess the moisture content in soil and soil moisture mapping by using remote sensing data in the selected study area. We applied the remote sensing technique which relies on the use of the soil moisture index (SMI) which uses the data obtained from satellite sensors in its algorithm. The relationship between land surface temperature (LST) and the normalized difference vegetation index (NDV

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Gao, Y., T. Markkanen, T. Thum, et al. "Assessing various drought indicators in representing summer drought in boreal forests in Finland." Hydrology and Earth System Sciences 20, no. 1 (2016): 175–91. http://dx.doi.org/10.5194/hess-20-175-2016.

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Abstract. Droughts can have an impact on forest functioning and production, and even lead to tree mortality. However, drought is an elusive phenomenon that is difficult to quantify and define universally. In this study, we assessed the performance of a set of indicators that have been used to describe drought conditions in the summer months (June, July, August) over a 30-year period (1981–2010) in Finland. Those indicators include the Standardized Precipitation Index (SPI), the Standardized Precipitation–Evapotranspiration Index (SPEI), the Soil Moisture Index (SMI), and the Soil Moisture Anom

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Arlan, D. S. D., E. Kusratmoko, and R. Hernina. "The identification of soil moisture as a factor of drought in cilutung watershed during indian ocean dipole year." IOP Conference Series: Earth and Environmental Science 1089, no. 1 (2022): 012017. http://dx.doi.org/10.1088/1755-1315/1089/1/012017.

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Abstract The Indian Ocean Dipole event in 2019 has caused several drought events in the Cilutung Watershed. The information about the spatial and temporal soil moisture distribution along its changes is needed to identify soil moisture values as a drought factor in the Cilutung Watershed. The Landsat 8 OLI-TIRS data used to get the value of soil moisture based on Soil Moisture Index (SMI) method by applying the triangle method between Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI). This study analyses the spatial patterns of soil moisture and identifies physic

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14

Sridhar, Venkataramana, Kenneth G. Hubbard, Jinsheng You, and Eric D. Hunt. "Development of the Soil Moisture Index to Quantify Agricultural Drought and Its “User Friendliness” in Severity-Area-Duration Assessment." Journal of Hydrometeorology 9, no. 4 (2008): 660–76. http://dx.doi.org/10.1175/2007jhm892.1.

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Abstract This paper examines the role of soil moisture in quantifying drought through the development of a drought index using observed and modeled soil moisture. In Nebraska, rainfall is received primarily during the crop-growing season and the supply of moisture from the Gulf of Mexico determines if the impending crop year is either normal or anomalous and any deficit of rain leads to a lack of soil moisture storage. Using observed soil moisture from the Automated Weather Data Network (AWDN), the actual available water content for plants is calculated as the difference between observed or mo

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15

Putro, S. T. J., N. Arif, and T. Sarastika. "Land surface temperature (LST) and soil moisture index (SMI) to identify slope stability." IOP Conference Series: Earth and Environmental Science 986, no. 1 (2022): 012022. http://dx.doi.org/10.1088/1755-1315/986/1/012022.

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Abstract Scientists widely use satellite images for scientific purposes, including investigation on earth science and environmental issues. Developing of many environmental models is due to replicating the natural process. Landslide is a known natural process controlled by slope stability which incorporates many parameters such as soil water content, morphology, and meteorological factor. Both LST and SMI were derived from satellite images, while SMI was the derivation of LST, meanwhile the use of both parameters in determining slope stability was rarely done. This research explores the use of

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16

Gao, Y., T. Markkanen, T. Thum, et al. "Assessing various drought indicators in representing drought in boreal forests in Finland." Hydrology and Earth System Sciences Discussions 12, no. 8 (2015): 8091–129. http://dx.doi.org/10.5194/hessd-12-8091-2015.

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Abstract. Droughts can impact on forest functioning and production, and even lead to tree mortality. However, drought is an elusive phenomenon that is difficult to quantify and define universally. In this study, we assessed the performance of a set of indicators that have been used to describe drought conditions in the summer months (June, July, August) over a 30 year period (1981–2010) in Finland. Those indicators include the Standardized Precipitation Index (SPI), the Standardized Precipitation–Evapotranspiration Index (SPEI), the Soil Moisture Index (SMI) and the Soil Moisture Anomaly (SMA)

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17

Riezta, Saniya, Almira Almira, Febri Ayu, Nisfi Fariatul Ifadah, Soemarno Soemarno, and Raushanfikr Bushron. "Indeks Lengas Tanah (Ilt) dan Indeks Kerapatan Vegetasi (Ndvi) Sebagai Penduga Produksi Kopi Di Kebun Kopi Bangelan, Kabupaten Malang, Jawa Timur." AGROINOTEK Jurnal Penelitian dan Pengabdian Masyarakat 004, no. 01 (2022): 49–57. https://doi.org/10.21776/ub.agroinotek.2023.004.01.05.

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Perkebunan kopi tadah hujan mengandalkan suplai air hujan untuk memenuhi kebutuhan air tanaman kopi, sehingga ketersediaan air dalam tanah sangat penting. Sementara itu, pengukuran dan pemantauan ketersediaan air dalam tanah memerlukan waktu dan biaya yang mahal, sehingga diperlukan metode yang murah, cepat dan akurat untuk memantau status ketersediaan air tanah pada perkebunan kopi. Soil Moisture Index (SMI) merupakan metode yang dapat digunakan untuk menaksir status kelembaban tanah dengan menggunakan teknologi penginderaan jauh untuk menaksir nilai NDVI (Normalized Difference Vegetation Ind

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Ojo, I.O, Malumi, B. O,, and Binuomote S.O. "Drought Distribution Dynamics In South-Western Nigeria: A Geospatial Approach To Climate Risk Evaluation." IOSR Journal of Environmental Science Toxicology and Food Technology 18, no. 12 (2024): 24–32. https://doi.org/10.9790/2402-1812032432.

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Drought is a natural occurrence which is a natural induce phenomenon and which cannot be, controlled by human being but it can be mitigated during and after its occurrence. It is a phenomenon which occurs after a prolong period of rainfall which brings about fast evapotranspiration as a result of high temperature. Indicator like SPI, SPEI, SMI and PCI are used to estimate the analysis of drought. These methods of analysis can give useful information about drought frequency and magnitude. Soil Moisture Index (SMI) shows that evenly distributed soil moisture was recorded from 1983 to 1992 but th

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Gupta, Stutee, Dharmaraj T., Harika Chikkala, and Reddy K. M. "Evaluating Biophysical Impacts of Watershed Interventions Using Time-Series Satellite Data: A Study in Semi-Arid Andhra Pradesh." International Journal of Sustainable Rural Development 2, no. 1 (2025): 39–50. https://doi.org/10.54536/ijsrd.v2i1.4152.

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This study demonstrates the critical role of satellite data in monitoring and evaluating NRM interventions in semi-arid, rain-fed agricultural regions. This study evaluates the biophysical impacts of Watershed level interventions in Bandlapalle village, Anantapur district, Andhra Pradesh, using time-series satellite data. Landsat-TM data (2006–2022) was utilized for seamless temporal analysis, with 2006 as the base year due to the commencement of MGNREGA and IWMP projects during this period. The study focused on the analysis of Land Use Land Cover (LULC), Vegetation Condition Index (VCI), Norm

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Briany, Adelia Dewi, Ridwan Ridwan, Elhamida Rezkia Amien, and Sandi Asmara. "Analisis Suhu Permukaan Tanah dan Kelembaban Tanah Menggunakan Interpretasi Citra Landsat 8 OLI Diperkebunan Nanas PT. Great Giant Pineapple." Jurnal Agricultural Biosystem Engineering 4, no. 1 (2025): 1. https://doi.org/10.23960/jabe.v4i1.10722.

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PT. Great Giant Pineapple (GGP) is the largest processed pineapple producer in Indonesia, cultivating pineapples in a long-term monoculture system, which has the potential to cause land degradation. To understand land conditions more accurately, this study integrates remote sensing technology with Landsat 8 OLI/TIRS satellite image analysis to measure land surface temperature (LST) and soil moisture using the Soil Moisture Index (SMI). Field data were collected from a 2000-hectare area in PT. GGP and analyzed using ArcGIS and Google Earth Pro software. The results showed that the NDVI values r

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Nitcheva, Olga, and Borislav Milev. "Computation and Monitoring of the Soil Moisture Index on Bulgarian Territory." Journal of Theoretical and Applied Mechanics 47, no. 1 (2017): 85–93. http://dx.doi.org/10.1515/jtam-2017-0006.

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Abstract The estimation and monitoring of the soil moisture index (SMI) on the Bulgarian territory is an important task from agricultural, fire and flood safety and water resources management aspects. It is not achievable by direct measurements as in the country there are only 20 field observation points. For the purpose adequate spatially distributed mathematical models must be employed. The paper demonstrates the implementation of the task by application of the Community Land Model (CLM) and all other procedures related to the preparation of GIS maps (Geographic Information Systems) for moni

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Kiliçaslan, Serkan, Remzi Ekinci, and Mehmet Cengiz Arslanoğlu. "Investigation of predictability of cotton plant production area soil moisture and temperature values with SAR and optical satellite images." International Journal of Cotton Research and Technology 6, no. 1 (2024): 1. https://doi.org/10.33865/ijcrt.006.01.1277.

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In the study carried out in 8 villages and 27 cotton parcels in the Artuklu and Kızıltepe Districts of Mardin Province, data logger devices were installed on the lands. These devices are programmed to record soil temperature and humidity values every 6 hours. The data collected from the data loggers were compared with the Landsat-8 and Sentinel-1 images used by pre-processing in the Google Earth Engine (GEE) cloud environment, and the relationship between them was investigated by analyzing them. A significant and high correlation was found between soil moisture (TN) and Sentinel-1 values, VV (

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Anzooman, Monia, Phill B. McKenna, Natasha Ufer, Thomas Baumgartl, Neil McIntyre, and Mandana Shaygan. "Assessing the Post-Fire Recovery of Mined-Under Temperate Highland Peat Swamps on Sandstone." Land 13, no. 12 (2024): 2253. https://doi.org/10.3390/land13122253.

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The Temperate Highland Peat Swamps on Sandstone (TPHSS) in the Sydney Basin of Australia provide critical ecological and hydrological services but are increasingly threatened by wildfires and human activities such as underground mining. The 2019–2020 wildfires severely impacted these swamps, raising concerns about their resilience and recovery. This study assessed the post-fire recovery of swamps and evaluated the ability of remote sensing techniques to determine recovery patterns. Specifically, it investigated differences in post-fire recovery patterns between swamps where groundwater levels

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Kumar, Pramod. "Extreme droughts and corresponding Summer Monsoon: A Case Study of 2009 Indian Drought." MAUSAM 74, no. 1 (2022): 83–104. http://dx.doi.org/10.54302/mausam.v74i1.5329.

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Drought is a sustained result of continuous surface and atmospheric heating and moisture deficit. In general, drought assessment is made based on various indices. However, the drought dynamics and associated surface energetics about the corresponding Indian Summer Monsoon (ISM, i.e., June, July, August and September-JJAS) still needs to be better understood. Prolonged surface heating causes reduction of soil moisture, surface/subsurface runoff and atmospheric moisture. Excess surface heating results from positive surface energy budget, which is computed using the term, surface net solar radiat

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Al-Daraji, Forqan Kh, Najed Faisal Shareef, and Wisam B. Hasan. "Prediction of Water Storage Volume in Soil Surface Layers Using Geomatics Techniques." IOP Conference Series: Earth and Environmental Science 1487, no. 1 (2025): 012191. https://doi.org/10.1088/1755-1315/1487/1/012191.

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Abstract This study was conducted in the northeastern area of the left bank of Shatt al-Arab left riverside north of Basrah Governorate of Iraq. Suitable satellite imagery for the study area was collected in July 13, 2023 coinciding with the time of field sample collection. The selected imagery underwent spectral correction followed by classification of the study area to identify and distribute sample collection sites evenly across three locations. Field samples were collected from the soil surface layers to calculate the volume of water stored in the soil. A predictive model was developed to

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Natsagdorj, E., T. Renchin, P. De Maeyer, B. Tseveen, C. Dari, and E. Dashdondog. "SOIL MOISTURE ANALYSIS USING MULTISPECTRAL DATA IN NORTH CENTRAL PART OF MONGOLIA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W5 (May 29, 2019): 485–91. http://dx.doi.org/10.5194/isprs-annals-iv-2-w5-485-2019.

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<p><strong>Abstract.</strong> Soil moisture (SM) content is one of the most important environmental variables in relation to land surface climatology, hydrology, and ecology. Long-term SM data-sets on a regional scale provide reasonable information about climate change and global warming specific regions. The aim of this research work is to develop an integrated methodology for SM of kastanozems soils using multispectral satellite data. The study area is Tuv (48°40′30″N and 106°15′55″E) province in the forest steppe zones in Mongolia. In addition to this, land surface tempera

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Rassl, Annkatrin, Dominik Michel, Martin Hirschi, Anke Duguay-Tetzlaff, and Sonia I. Seneviratne. "Climatological Drought Monitoring in Switzerland Using EUMETSAT SAF Satellite Data." Remote Sensing 14, no. 23 (2022): 5961. http://dx.doi.org/10.3390/rs14235961.

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Climatological drought monitoring in Switzerland relies heavily on station-based precipitation and temperature data. Due to the high spatial variability and complexity of droughts, it is important to complement station-based drought indices with gridded information and to couple multiple drought indicators within the monitoring system. Here, long-term satellite-based drought parameters from the EUMETSAT SAF network are analyzed in terms of dry anomalies within their climatology’s, namely ASCAT soil water index (SWI), CM SAF land surface temperature (LST), complemented with NOAA vegetation data

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Yu, M., Q. Li, G. Lu, H. Wang, and P. Li. "Development and application of a short- /long-term composited drought index in the upper Huaihe River basin, China." Proceedings of the International Association of Hydrological Sciences 369 (June 11, 2015): 103–8. http://dx.doi.org/10.5194/piahs-369-103-2015.

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Abstract. Accurate and reliable drought monitoring is of primary importance for drought mitigation and reduction of social-ecological vulnerability. The aim of the paper was to propose a short-term/long-term composited drought index (CDI) which could be widely used for drought monitoring and early warning in China. In the study, the upper Huaihe River basin above the Xixian gauge station, which has been hit by severe droughts frequently in recent decades, was selected as the case study site. The short-term CDI was developed by the Principle Component Analysis of the self-calibrating Palmer Dro

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Das, Animesh Chandra, Ryozo Noguchi, and Tofael Ahamed. "An Assessment of Drought Stress in Tea Estates Using Optical and Thermal Remote Sensing." Remote Sensing 13, no. 14 (2021): 2730. http://dx.doi.org/10.3390/rs13142730.

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Drought is one of the detrimental climatic factors that affects the productivity and quality of tea by limiting the growth and development of the plants. The aim of this research was to determine drought stress in tea estates using a remote sensing technique with the standardized precipitation index (SPI). Landsat 8 OLI/TIRS images were processed to measure the land surface temperature (LST) and soil moisture index (SMI). Maps for the normalized difference moisture index (NDMI), normalized difference vegetation index (NDVI), and leaf area index (LAI), as well as yield maps, were developed from

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Ferijal, T., and Subhan. "The performance of dry spell-based index to predict agricultural drought." IOP Conference Series: Earth and Environmental Science 1116, no. 1 (2022): 012031. http://dx.doi.org/10.1088/1755-1315/1116/1/012031.

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Abstract This study was intended to analyze dry spell-based drought index (SDI) performance in predicting agricultural drought. Agricultural drought was estimated using soil moisture deficit index (SMDI) over a monthly time-scale. The deficit in soil moisture was calculated using soil water content in soil profile predicted by SWAT model. The result indicated that SDI has poor performance in predicting agricultural drought index. However, the outcome might be explained by the low temporal resolution of soil moisture data.

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Dong, Liguo, Xiaoxiong Bai, Sile Hu, Min Zhang, Ying Wang, and Xuan Yu. "Effects of Soil Bacterial Taxa under Different Precipitation Gradients on the Multi-Functionality of the Rhizosphere Soils under Caragana intermedia Forests." Sustainability 16, no. 14 (2024): 6032. http://dx.doi.org/10.3390/su16146032.

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Elucidating the impact of rhizosphere microbial communities in the Caragana intermedia forest on soil polyfunctionality can significantly enhance our understanding of the microbial mechanisms underpinning soil multi-functionality, which is crucial for sustainable land management. The rhizosphere soils under Caragana intermedia forests in different regions with variable precipitation gradients (MAP500 (precipitation ≥ 500 mm), MAP450 (400~500 mm), MAP300 (300~400 mm), MAP250 (200~300 mm)) were investigated in the research object. The interrelationships among soil properties, particularly the so

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Samaniego, Luis, Rohini Kumar, and Matthias Zink. "Implications of Parameter Uncertainty on Soil Moisture Drought Analysis in Germany." Journal of Hydrometeorology 14, no. 1 (2013): 47–68. http://dx.doi.org/10.1175/jhm-d-12-075.1.

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Abstract Simulated soil moisture is increasingly used to characterize agricultural droughts but its parametric uncertainty, which essentially affects all hydrological fluxes and state variables, is rarely considered for identifying major drought events. In this study, a high-resolution, 200-member ensemble of land surface hydrology simulations obtained with the mesoscale Hydrologic Model is used to investigate the effects of the parametric uncertainty on drought statistics such as duration, extension, and severity. Simulated daily soil moisture fields over Germany at the spatial resolution of

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Chladil, MA, and M. Nunez. "Assessing Grassland Moisture and Biomass in Tasmania - the Application of Remote-Sensing and Empirical-Models for a Cloudy Environment." International Journal of Wildland Fire 5, no. 3 (1995): 165. http://dx.doi.org/10.1071/wf9950165.

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The operational feasibility of NOAA/AVHRR data and two semi-empirical moisture models were evaluated in the grasslands of southeastern Tasmania (Australia) during the 1988/89 fire season. A limited ground-truthing experiment compared the grassland dry biomass, soil moisture and fuel moisture with the satellite derived NDVI and the Soil Dryness Index (SDI) and the Grassland Curing Index (GCI). The NDVI gave good results for fuel moisture content (FMC) and soil moisture content (SMC) but unreliable image availability precludes the use of NDVI as a stand alone system for fire managers. The SDI an

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McNally, A., C. Funk, G. J. Husak, et al. "Estimating Sahelian and East African soil moisture using the Normalized Difference Vegetation Index." Hydrology and Earth System Sciences Discussions 10, no. 6 (2013): 7963–97. http://dx.doi.org/10.5194/hessd-10-7963-2013.

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Abstract. Rainfall gauge networks in Sub-Saharan Africa are inadequate for assessing Sahelian agricultural drought, hence satellite-based estimates of precipitation and vegetation indices such as the Normalized Difference Vegetation Index (NDVI) provide the main source of information for early warning systems. While it is common practice to translate precipitation into estimates of soil moisture, it is difficult to quantitatively compare precipitation and soil moisture estimates with variations in NDVI. In the context of agricultural drought early warning, this study quantitatively compares ra

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Khenioui, Abderrezak, Salah Boukhalfa, and Ahmed Bougherara. "The use of remote sensing and Geographic Information Systems in Monitoring drought the Algerian steppe." Technium Social Sciences Journal 39 (January 8, 2023): 644–58. http://dx.doi.org/10.47577/tssj.v39i1.7955.

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The present study aims to use remote sensing techniques and geographic information systems (GIS) in monitoring and detecting droughts in the steppe regions (Tiaret city as a model) during the period (2002-2022). In pursuit of this aim, some indicators were used, such as the surface temperature index (LST), soil moisture index (SMI), standardized difference vegetation index (NDVI), and aridity index (AI). Depending on the Terra satellite's visuals, which are specialized in observing the earth and tracking changes that may occur in it. The purpose of the study is to demonstrate the extent to whi

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Gojiya, K. M., B. A. Karangiya, S. K. Chavda, S. K. Gaadhe, D. K. Gojiya, and H. D. Rank. "Soil Moisture Modelling Using Remote Sensing and Artificial Neural Networks: A Study of Devbhumi Dwarka Region, Gujarat, India." International Journal of Environment and Climate Change 14, no. 1 (2024): 1–13. http://dx.doi.org/10.9734/ijecc/2024/v14i13788.

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For the arid and semi-arid region of Devbhumi Dwarka in Gujarat, where soil moisture issue is prominent, a GIS-based approach is needed to develop models for estimation of soil moisture. In this study, Landsat and Sentinel data were used to develop multiple soil moisture indices. Using these spectral indices, artificial neural network (ANN) models were developed using actual recorded soil moisture data. Total of 174 samples were collected in the study area of 3,77,731 ha. Values of soil moisture ranged from 3.40 % to 12.50 % with an average value of 8.42 %. The maps of soil moisture indices i.

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Nie, Yan, Ying Tan, Yuqin Deng, and Jing Yu. "Suitability Evaluation of Typical Drought Index in Soil Moisture Retrieval and Monitoring Based on Optical Images." Remote Sensing 12, no. 16 (2020): 2587. http://dx.doi.org/10.3390/rs12162587.

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As a basic agricultural parameter in the formation, transformation, and consumption of surface water resources, soil moisture has a very important influence on the vegetation growth, agricultural production, and healthy operation of regional ecosystems. The Aksu river basin is a typical semi-arid agricultural area which seasonally suffers from water shortage. Due to the lack of knowledge on soil moisture change, the water management and decision-making processes have been a difficult issue for local government. Therefore, soil moisture monitoring by remote sensing became a reasonable way to sc

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Chakraborty, Abhishek, M. V. R. Sesha Sai, C. S. Murthy, P. S. Roy, and G. Behera. "Assessment of area favourable for crop sowing using AMSR-E derived Soil Moisture Index (AMSR-E SMI)." International Journal of Applied Earth Observation and Geoinformation 18 (August 2012): 537–47. http://dx.doi.org/10.1016/j.jag.2011.10.006.

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Talha, S., M. Maanan, H. Atika, and H. Rhinane. "PREDICTION OF FLASH FLOOD SUSCEPTIBILITY USING FUZZY ANALYTICAL HIERARCHY PROCESS (FAHP) ALGORITHMS AND GIS: A STUDY CASE OF GUELMIM REGION IN SOUTHWESTERN OF MOROCCO." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W19 (December 23, 2019): 407–14. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w19-407-2019.

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Abstract. In recent decades, many of the countries around the world as well as the south-western Morocco (Guelmim region, Assaka watershed), was subject to flood-storm causing huge human and material damages. The current study focuses on the Prediction of flash flood susceptibility using Fuzzy Analytical Hierarchy Process (FAHP) algorithms and Geographic Information System (GIS) technical. Flash floods areas were identified based on seven flash flood conditioning factors (Soil Moisture Index (SMI), Drainage Density, Rainfall, LULC, Altitude, Slope and Soil). Using AHP the weight derived for th

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Wang, W., D. Huang, X. G. Wang, Y. R. Liu, and F. Zhou. "Estimation of soil moisture using trapezoidal relationship between remotely sensed land surface temperature and vegetation index." Hydrology and Earth System Sciences 15, no. 5 (2011): 1699–712. http://dx.doi.org/10.5194/hess-15-1699-2011.

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Abstract. The trapezoidal relationship between land surface temperature (Ts) and Vegetation Index (VI) was used to estimate soil moisture in the present study. An iterative algorithm is proposed to estimate the vertices of the Ts ~ VI trapezoid theoretically for each pixel, and then Water Deficit Index (WDI) is calculated based on the Ts ~ VI trapezoid using MODIS remotely sensed measurements of surface temperature and enhanced vegetation index (EVI). The capability of using WDI based on Ts ~ VI trapezoid to estimate soil moisture is evaluated using soil moisture observations and antecedent pr

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Park, Haekyung, Kyungmin Kim, and Dong kun Lee. "Prediction of Severe Drought Area Based on Random Forest: Using Satellite Image and Topography Data." Water 11, no. 4 (2019): 705. http://dx.doi.org/10.3390/w11040705.

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The uncertainty of drought forecasting based on past meteorological data is increasing because of climate change. However, agricultural droughts, associated with food resources and determined by soil moisture, must be predicted several months ahead for timely resource allocation. Accordingly, we designed a severe drought area prediction (SDAP) model for short-term drought without meteorological data. The predictions of our proposed SDAP model indicate a forecast of serious drought areas assuming non-rainfall, not a probability prediction of drought occurrence. Furthermore, this prediction prov

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Walsh, Sean F., Petter Nyman, Gary J. Sheridan, Craig C. Baillie, Kevin G. Tolhurst, and Thomas J. Duff. "Hillslope-scale prediction of terrain and forest canopy effects on temperature and near-surface soil moisture deficit." International Journal of Wildland Fire 26, no. 3 (2017): 191. http://dx.doi.org/10.1071/wf16106.

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Soil moisture has important effects on fuel availability, but is often assessed using drought indices at coarse spatial resolution, without accounting for the fine-scale spatial effects of terrain and canopy variation on forest floor moisture. In this study, we examined the spatial variability of air temperature, litter temperature and near-surface soil moisture (θ, 0–100 mm) using data from field experiments at 17 sites in south-east Australia, covering a range of topographic aspects and vegetation types, within climates from semiarid to wet montane. Temperatures and θ in mountainous environm

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Friesen, DK, GJ Blair, and M. Duncan. "Temporal fluctuations in soil test values under permanent pasture in New England, N.S.W." Soil Research 23, no. 2 (1985): 181. http://dx.doi.org/10.1071/sr9850181.

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Soil test P, K and pH were monitored on a monthly basis for two years in two P-rate grazing experiments on permanent pastures near Armidale, N.S.W. Highly significant fluctuations in time were observed for all soil tests at both sites. Components of variance derived from variance analyses indicated that temporal variation formed from 45-98% of the total random variance, depending on the soil test and site concerned. The relative magnitude of the temporal component did not vary substantially between fertilized and unfertilized plots. Correlation analyses did not establish any consistent associa

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Klinka, K., and R. E. Carter. "Relationships Between Site Index and Synoptic Environmental Factors in Immature Coastal Douglas-Fir Stands." Forest Science 36, no. 3 (1990): 815–30. http://dx.doi.org/10.1093/forestscience/36.3.815.

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Abstract Indirect synoptic measures of climate, soil moisture, and soil nutrients are used to characterize site quality in the biogeoclimatic ecosystem classification. To assess relationships of these measures to potential forest productivity, environmental and site index data from 133 sample plots established in immature coastal Douglas-fir (Pseudotsuga menziesii [Mirb.] Franco) stands were utilized. The stands were distributed across three climatic regimes (biogeoclimatic units), five soil moisture regimes, and five soil nutrient regimes. These regimes were used as categorical variables in s

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Oertel, Melanie, Francisco Meza, Jorge Gironás, Christopher A. Scott, Facundo Rojas, and Nicolás Pineda-Pablos. "Drought Propagation in Semi-Arid River Basins in Latin America: Lessons from Mexico to the Southern Cone." Water 10, no. 11 (2018): 1564. http://dx.doi.org/10.3390/w10111564.

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Detecting droughts as early as possible is important in avoiding negative impacts on economy, society, and environment. To improve drought monitoring, we studied drought propagation (i.e., the temporal manifestation of a precipitation deficit on soil moisture and streamflow). We used the Standardized Precipitation Evapotranspiration Index (SPEI), Standardized Streamflow Index (SSI), and Standardized Soil Moisture Index (SSMI) in three drought-prone regions: Sonora (Mexico), Maipo (Chile), and Mendoza-Tunuyán (Argentina) to study their temporal interdependence. For this evaluation we use precip

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Wang, Jie, Weikun Wang, Yuehong Hu, Songni Tian, and Dongwei Liu. "Soil Moisture and Salinity Inversion Based on New Remote Sensing Index and Neural Network at a Salina-Alkaline Wetland." Water 13, no. 19 (2021): 2762. http://dx.doi.org/10.3390/w13192762.

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In arid and semi-arid regions, soil moisture and salinity are important elements to control regional ecology and climate, vegetation growth and land function. Soil moisture and salt content are more important in arid wetlands. The Ebinur Lake wetland is an important part of the ecological barrier of Junggar Basin in Xinjiang, China. The Ebinur Lake Basin is a representative area of the arid climate and ecological degradation in central Asia. It is of great significance to study the spatial distribution of soil moisture and salinity and its causes for land and wetland ecological restoration in

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Wang, W., D. Huang, X. G. Wang, Y. R. Liu, and F. Zhou. "Estimate soil moisture using trapezoidal relationship between remotely sensed land surface temperature and vegetation index." Hydrology and Earth System Sciences Discussions 7, no. 6 (2010): 8703–40. http://dx.doi.org/10.5194/hessd-7-8703-2010.

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Abstract. The trapezoidal relationship between surface temperature (Ts) and vegetation index (VI) was used to estimate soil moisture in the present study. An iterative algorithm is proposed to estimate the vertices of the Ts~VI trapezoid theoretically for each grid, and then WDI is calculated for each grid using MODIS remotely sensed measurements of surface temperature and enhanced vegetation index (EVI). The capability of using WDI based on Ts~VI trapezoid to estimate soil moisture is evaluated using soil moisture observations and antecedent precipitation in the Walnut Gulch Experimental Wate

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Ren, Jie, Hexiang Zheng, Jun Wang, et al. "Assessment of Soil Moisture in Vegetation Regions of Mu Us Sandy Land Using Several Aridity Indicators." Atmosphere 15, no. 11 (2024): 1329. http://dx.doi.org/10.3390/atmos15111329.

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Drought, a significant calamity in the natural domain, has extensive worldwide repercussions. Drought, primarily characterized by reduced soil moisture (SM), presents a significant risk to both the world environment and human existence. Various drought indicators have been suggested to accurately represent the changing pattern of SM. The study examines various indices related to the Drought Severity Index (DSI), Evaporation Stress Index(ESI), Vegetation Supply Water Index(VSWI), Temperature-Vegetation Dryness Index(TVDI), Temperature Vegetation Precipitation Dryness Index(TVPDI), Vegetation He

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Tao, Liangliang, Dongryeol Ryu, Andrew Western, and Dale Boyd. "A New Drought Index for Soil Moisture Monitoring Based on MPDI-NDVI Trapezoid Space Using MODIS Data." Remote Sensing 13, no. 1 (2020): 122. http://dx.doi.org/10.3390/rs13010122.

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The temperature vegetation dryness index (TVDI) has been commonly implemented to estimate regional soil moisture in arid and semi-arid regions. However, the parameterization of the dry edge in the TVDI model is performed with a constraint to define the maximum water stress conditions. Mismatch of the spatial scale between visible and thermal bands retrieved from remotely sensed data and terrain variations also affect the effectiveness of the TVDI. Therefore, this study proposed a new drought index named the condition vegetation drought index (CVDI) to monitor the temporal and spatial variation

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Aljanabi, Firas, and Mert Dedeoğlu. "Soil texture approach to drought risk management using long-term ERA5 dataset and geospatial techniques in a semi-arid ecosystem." Soil Science Annual 76, no. 1 (2025): 1–12. https://doi.org/10.37501/soilsa/203723.

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Assessing soil moisture is an essential measure of aridity and has become a significant field of study for monitoring dry conditions, particularly following recent years' climate change developments. This article aims to evaluate three drought indices, the Perpendicular Drought Index (PDI), Soil Moisture Monitoring Index (SMMI), and Modified Soil Moisture Monitoring Index (MSMMI), within the Gozlu agricultural enterprise located in Konya Province, Turkey, which is characterized by a semi-arid ecosystem. It also tests the correlation between long-term precipitation data and the selected drought

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