Assessing the impact of Sentinel-1 derived planting dates on rice crop yield modeling

Autor: Mahya G.Z. Hashemi, Abhijeet Abhishek, Ehsan Jalilvand, Susantha Jayasinghe, Konstantinos M. Andreadis, Paul Siqueira, Narendra N. Das

Publikováno v: International Journal of Applied Earth Observations and Geoinformation, Vol 114, Iss , Pp 103047- (2022)

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 observa

Externí odkaz: https://doaj.org/article/990c5988c1574466b82ea76807c630a5

Using High-Resolution Climate Models to Identify Climate Change Hotspots in the Middle East: A Case Study of Iran

Autor: Saeed Sotoudeheian, Ehsan Jalilvand, Amirhassan Kermanshah

Publikováno v: Climate, Vol 10, Iss 11, p 161 (2022)

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, an

Externí odkaz: https://doaj.org/article/5ca96c99044649979bef75d374b56743

Is it Possible to Quantify Irrigation Water-Use by Assimilating a High-Resolution Soil Moisture Product?

Autor: Narendra Narayan Das, Ehsan Jalilvand, Ronnie ABOLAFIA-ROSENZWEIG, Masoud Tajrishy, Sujay Kumar, Mohammad Reza Mohammadi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fccb76284b0ccf5cfce368cefa33488b
https://doi.org/10.1002/essoar.10512082.1

The Impact of Pavement Permeability on Time of Concentration in a Small Urban Watershed with a Semi-Arid Climate

Autor: Masoud Tajrishy, Mahya Sadat Ghazi Zadeh Hashemi, Ehsan Jalilvand

Publikováno v: Water Resources Management. 34:2969-2988

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 p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0e9130d4111b37925da263f96b6f851b
https://doi.org/10.1007/s11269-020-02596-3

Estimating the drainage rate from surface soil moisture drydowns: Application of DfD model to in situ soil moisture data

Autor: Masoud Tajrishy, SedighehAlSadat Ghazi Zadeh Hashemi, Luca Ciabatta, Christian Massari, Ehsan Jalilvand, Luca Brocca

Publikováno v: Journal of hydrology (Amst.) 565 (2018): 489–501. doi:10.1016/j.jhydrol.2018.08.035
info:cnr-pdr/source/autori:Jalilvand E.; Tajrishy M.; Brocca L.; Massari C.; Ghazi Zadeh Hashemi S.; Ciabatta L./titolo:Estimating the drainage rate from surface soil moisture drydowns: Application of DfD model to in situ soil moisture data/doi:10.1016%2Fj.jhydrol.2018.08.035/rivista:Journal of hydrology (Amst.)/anno:2018/pagina_da:489/pagina_a:501/intervallo_pagine:489–501/volume:565

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fe51f3f5bb2e79949745ea895edb8f9