Available Data Sets and Satellites for Terrestrial Soil Moisture Estimation

Srivastava, Prashant K.; Pandey, Vandana; Suman, Swati; Gupta, Manika; Islam, Tanvir

doi:10.1016/b978-0-12-803388-3.00002-4

Cited by 8 publications

(4 citation statements)

References 15 publications

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“…The SMAP level 3 soil moisture (radiometer) products (hereafter referred to as "SMAP products"), which belong to the SMAP mission [17,20,26], were used to examine the temperature effects in satellite soil moisture data. In general, the L-band radiometer (1.41 GHz) collected brightness temperature (TB) data every two or three days to satisfy one of the SMAP mission's objectives.…”

Section: Satellite Datamentioning

confidence: 99%

“…Jackson and Schmugge [13] have proposed a new method to obtain surface soil moisture through remote sensing to overcome the limitation of in situ methods. Nowadays, many space missions with active and/or passive microwave sensors are being conducted to complement the drawbacks of ground-based observations [14][15][16][17]. Although many space projects have been retrieving soil moisture products from microwave radiometers since the 1970s, the first mission dedicated to soil moisture was Soil Moisture and Ocean Salinity (SMOS) that was launched in 2009.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of the Temperature Effects in SMAP Satellite Soil Moisture Products in Oklahoma

Hoang

2021

Remote Sensing

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Soil moisture is a notably important component in various studies in water sciences, including hydrology, agriculture, and water management. To achieve extensive or global spatial coverage, satellites focusing on soil moisture observation have been launched, and many satellite products, such as SMAP and SMOS soil moisture products, have been provided. Most of these satellite observations are based on the dielectric properties of wet soil, and most soil moisture retrieval algorithms are calibrated or evaluated using in situ soil moisture. While the in situ data observed by dielectric sensors, which are the most widely used, are reported to include errors caused by the so-called “temperature effects” of these sensors, the temperature dependency of bulk soil dielectric constant has rarely been discussed on satellite data. Since both in situ dielectric measurements and satellite observations are based on the same physical variable, the dielectric constant and the dielectrically measured in situ soil moisture data are also used as ground truth, it is necessary to assess the impact of temperature effects on satellite products. In this work, we attempted to identify the existence of the temperature effects and evaluate the consequences of removing these effects on in situ and satellite soil moisture and the relationships between the brightness temperature at the soil surface and the brightness temperature provided by satellite observation. To achieve the goals of this study, we analyzed the temperature effects on surface soil moisture data provided by a SMAP mission in Oklahoma, the United States. The results show that temperature effects exist in SMAP soil moisture products in Oklahoma, and the removal of these effects will potentially improve the accuracy of these products.

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Section: Satellite Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessment of the Temperature Effects in SMAP Satellite Soil Moisture Products in Oklahoma

Hoang

2021

Remote Sensing

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“…Ground water level/ piezometric head data are being monitored using dug wells and piezometers by the CGWB. The CGWB monitors the ground water level data four times a year with 22,339 ground water observation wells (both piezometer (6149) and dug wells (16,190) in India, excluding Mizoram, Sikkim, and Lakshadweep (http://cgwb.gov.in). We prepared the long-term climatology of the monsoon and pre-monsoon ground water level using 108 well points within the study area.…”

Section: Ground Water Recordmentioning

confidence: 99%

“…Satellite information has been witnessed as a feasible alternative in monitoring drought through climatic conditions and vegetation health observations [14]. Due to its complexity and uncertainty, drought hazard cannot be evaluated based on single climatic indicator like rainfall only; therefore other climatic indicators like temperature, soil moisture, evapotranspiration, and vegetation properties may supplement significant and effective indications through satellite-based observations [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Integration of Microwave and Optical/Infrared Derived Datasets for a Drought Hazard Inventory in a Sub-Tropical Region of India

Pandey

Srivastava

2019

Remote Sensing

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Drought is an intricate phenomenon assessed by analyzing several hydro-meteorological factors such as rainfall, soil moisture, temperature, evapotranspiration, vegetation cover, etc. For effective drought hazard management and preparedness, the monitoring of drought requires the evaluation of influencing factors via the Drought Hazard Inventory (DHI). The main objective of this study is to compare spatial occurrences of drought hazard with the help of microwave and Optical/Infrared datasets obtained from multiple satellites. The long-term climatology of the Tropical Rainfall Measuring Mission (TRMM) Rainfall, Climate Change Initiative soil moisture (CCI-SM) and Moderate Resolution Imaging Spectroradiometer (MODIS) derived Land Surface Temperature (LST), Evapotranspiration (ET) and Normalized Difference Vegetation Index (NDVI) were used in this study for drought hazard assessment. This study was carried out in the Bundelkhand region of Uttar Pradesh, considered as one of the most frequent and dominant drought-prone areas of India. The current study includes the Analytical Hierarchy Process (AHP) technique based on Multi-Criteria Decision Making Analysis (MCDM) for weighting assignment and decision making, while the geospatial platform was used for data layer standardization, integration, and drought assessment. The results indicate that a large percentage of area (38.05% and 27.54%, respectively) lying in the central part of Bundelkhand region is under high to extreme drought conditions, where precautionary measures are needed. To demonstrate the robustness of our results, we compare them with the long-term in-situ ground water depletion as a proxy. Finally, based on the findings of this study, we recommend the methodology for drought assessment at a larger scale, as well as in the remote areas where ground based measurements are limited.

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Integrating Remotely Sensed Soil Moisture in Assessing the Effects of Climate Change on Food Production: A Review of Applications in Crop Production in Africa

Chari

Hamandawana

Zhou

2022

Climate Change Management

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Available Data Sets and Satellites for Terrestrial Soil Moisture Estimation

Cited by 8 publications

References 15 publications

Assessment of the Temperature Effects in SMAP Satellite Soil Moisture Products in Oklahoma

Assessment of the Temperature Effects in SMAP Satellite Soil Moisture Products in Oklahoma

Integration of Microwave and Optical/Infrared Derived Datasets for a Drought Hazard Inventory in a Sub-Tropical Region of India

Integrating Remotely Sensed Soil Moisture in Assessing the Effects of Climate Change on Food Production: A Review of Applications in Crop Production in Africa

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