Ehsan JalilvandNASA · Goddard Space Flight Centre
Ehsan Jalilvand
PhD
About
19
Publications
9,717
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196
Citations
Introduction
Additional affiliations
June 2019 - March 2020
Position
- PostDoc Position
Description
- During my post-doc I have been focused on mapping and quantification of irrigation, using satellite soil moisture data.
December 2016 - June 2017
Position
- Researcher
Description
- Doing research on extending the currently available method for determining precipitation from satellite soil moisture data (SM2RAIN).
Publications
Publications (19)
Irrigated agriculture is the principal consumer of fresh water resources. Most countries do not have a precise measurement of water consumption for irrigation. In this study, an innovative approach is proposed that allows for estimation of irrigation water use at the catchment scale based on satellite soil moisture data. To this end, the SM2RAIN al...
Irrigation is not well represented in land surface, hydrological, and climate models. One way to account for irrigation is by assimilating satellite soil moisture data that contains irrigation signal with land surface models. In this study, the irrigation detection ability of SMAP enhanced 9km and SMAP-Sentinel1 3km and 1km soil moisture products a...
Planting date (PD) is one of the critical component in crop modeling that has a large-scale impact on seasonal yield estimation. Here, we aimed to estimate the various paddy/rice attributes (particularly, acreage and PD) using the Sentinel-1A observations, and assessing the impact of such key parameters on end-of-season yields. The method comprises...
The adverse effects of climate change will impact all regions around the world, especially Middle Eastern countries, which have prioritized economic growth over environmental protection. However, these impacts are not evenly distributed spatially, and some locations, namely climate change hotspots, will suffer more from climate change consequences....
Irrigation is the largest human intervention in the water cycle that can modulate climate extremes, yet irrigation water use (IWU) remains largely unknown in most regions. Microwave remote sensing offers a practical way to quantify IWU by monitoring changes in soil moisture caused by irrigation. However, high‐resolution satellite soil moisture data...
Irrigation is the largest human intervention in the water cycle that can modulate climate extremes, yet global irrigation water use (IWU) remains largely unknown. Microwave remote sensing offers a practical way to quantify IWU by monitoring changes in soil moisture caused by irrigation. However, high-resolution satellite soil moisture data is typic...
Considering variations in surface soil moisture (SSM) is essential in improving crop yield and irrigation scheduling. Today, most remotely sensed soil moisture products have difficulties in resolving irrigation signals at the plot scale. This study aims to use Sentinel-1 radar backscatter and Sentinel-2 multispectral imagery to estimate SSM at high...
Groundwater resources are the most important sources of water supply for various uses in the Rafsanjan study area. Over-exploitation of these resources has resulted in a continuous groundwater level depletion in the last three decades. The possibility of sustainable exploitation of these resources in the coming years requires appropriate groundwate...
Despite the popularity of the permeable pavements in urban areas in recent years, a few empirical equations have been developed to estimate the time of concentration (Tc) on pervious surfaces, and almost none of them is evaluated over the permeable pavements. In this paper, we aim to investigate the effect of low impact development (LID) on Tc and...
Despite the popularity of the permeable pavements in urban areas in recent years, a few empirical equations have been developed to estimate the time of concentration (Tc) on pervious surfaces, and almost none of them is evaluated over the permeable pavements. In this paper, we aim to investigate the effect of low impact development (LID) on Tc and...
The large heterogeneity in soil surface conditions makes it impracticable to obtain reliable estimates of soil hydraulic parameters for areas larger than few squared kilometers. However, identifying these parameters on a global scale is essential for many hydrological and climatic applications. In this study, a new approach named Drainage from Dryd...
Irrigated agriculture is the principal consumer of fresh water resources. Most countries don't have precise measurement of water consumption for irrigation. In this study we proposed an innovative approach that allows to estimate irrigation water amount from satellite soil moisture data. We exploit the SM2RAIN algorithm (Brocca et al. 2014), that w...
The parameterization of hydrological processes over large areas is extremely difficult. The large heterogeneities in soil surface conditions makes impracticable to obtain reliable estimates of soil hydraulic parameters for areas larger than few squared kilometers. However, the knowledge of these parameters on a global scale is essential for a numbe...
One of the main components of the water balance of a catchment area is the amount of rainfall. This part of the water balance equation is usually calculated through the statistics of rain gauge stations, but the dispersion of these stations on the one hand and the extensive spatial-temporal changes of precipitation on the other hand have caused the...
Surface soil moisture is an important factor for drought monitoring and calibration of water balance models. Now a day satellite data are widely used for spatial and temporal monitoring of many parameters including soil moisture. In this study surface soil moisture is estimated using two sets of MODIS data (Land surface temperature (LST) and Albedo...
Lake Urmia is the largest hyper saline lake in the Middle East and one of the biggest in the world which covers more than one-tenth of Urmia lake basin. Since three decades ago and along with the increasing demand for diversion of water for irrigation, the lake water level has significantly declined. Evaporation is the only water outflow from this...
Questions
Questions (6)
Hi everybody,
I am looking for a long-term (more than 3 years) hourly soil moisture and lysimeter data (including actual evapotranspiration and drainage) that are measured simultaneously at the same site. it should be probably a dataset from an experimental watershed with lysimeter and soil moisture probe.
Thanks
Hi every body,
First of all I want to say that I have read all the main references (like: Bastiaanssen et al. in 1998 , Allen et al., (2002) and know how to calculate net radiation. The thing is repeating this process is really time consuming. I believe estimating this term can be automated and it is not like sensible heat flux (which needs supervision).
So, before start to code the process I would like to check if any one has done it before and can share it with us?
Cheers,
Ehsan
Hi everybody,
I just downloaded the Stage IV precipitation data, that is the only radar+ gauge precipitation that available at hourly time step for for CONUS. However, the data format is GRIB that I can't open it in Matlab, has anyone had an experience with this dataset?
Hi Erfan,
It is a very interesting topic to investigate.
We know that when ET is water-limited it is correlated with soil moisture content and it is usually assumed that they are linearly related (That is a simplification)
In the project goal you mentioned that you are going to measure the strength of their relationship, are you going to define different function for their relationship based on surface and atmospheric condition, if not, what is meant by Strength exactly?
Thanks,
Ehsan
Hi all,
suppose that even basic soil properties (soil texture map) is not available in a region, how can one determine the residual and field capacity soil moisture? Is there any simple satellite based approach?
I first think of FAO soil map but it seems that it is too coarse for sub basin scale (less than 50000 km2), am I right?
I also have a lithology map of the region can I create a rough soil texture map based on the lithology map and derive θr and θs? Or this parameter is very important and need to determined accurately?
Hi all, I am writing a water balance equation for a basin for year 1995 and 2010. The balance equation is simple (P-E=Δs) and soil moisture storage is a part of Δs . I first try to use GLDAS root zone soil moisture product to determine monthly soil moisture storage but among the monthly values were big numbers that were more than field capacity, that can't be correct.
I also try to use satellite soil moisture data like SMOS, AMSR-E or ASCAT for year 2010 but it seems that there aren’t any root zone product for these satellite at least for the years 1995 and 2010.
Is there any satellite product for the root zone soil moisture (before 2010)?
extra information: the basin is located in Iran and there is lake inside the basin, the basin area is almost 52000 km2
