Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ali Akbar Norouzi"'
Publikováno v:
علوم محیطی, Vol 18, Iss 1, Pp 105-116 (2020)
Introduction: The phenomenon of dust in Iran is a serious risk that caused major problems for the environment and human health. Research has shown that the frequency and severity of these storms have increased in recent years. In addition, numerical
Externí odkaz:
https://doaj.org/article/503796e505fc42468e8d06022da80c8c
Dust detection in western and southwestern Iran based on DAI index algorithm and Modis spectral data
Publikováno v:
علوم محیطی, Vol 17, Iss 3, Pp 151-162 (2019)
Introduction: A dust aerosol index (DAI) algorithm based on measurements in deep blue (412 nm), blue (440 nm), and shortwave IR (2130 nm) wavelengths using Moderate Resolution Imaging Spectroradiometer (MODIS) observations has been developed. Measure
Externí odkaz:
https://doaj.org/article/5e10bbf229534689befbf7f0d5c15600
Publikováno v:
Environmental monitoring and assessment. 190(9)
This study was aimed (i) to examine using diffuse reflectance spectra within VNIR region to estimate soil heavy metals concentrations at large scale, (ii) to compare the influence of different pre-processing models on predictive model accuracy, and (
Publikováno v:
Precision Agriculture. 11:82-99
Soil organic carbon (SOC) concentration is a useful soil property with which to guide agricultural applications of chemical inputs. To enable this, simple, accurate, rapid and inexpensive methods are needed to produce maps of surface SOC concentratio
Publikováno v:
Vadose Zone Journal. 14:vzj2014.07.0080
In this study, we developed spectrotransfer functions (STFs) that relate soil hydraulic properties (SHPs) to spectral reflectance values to estimate hydraulic parameters of the Mualem–van Genuchten (MvG) model. We investigated the general potential