Ahmed Eldeiry

Colorado State University | CSU · Department of Agricultural Biology

The objectives of this study are to: (i) estimate the actual evapotranspiration (ETa) of the different irrigated crops in the South Platte River Basin, Colorado, USA; (ii) compare the consumption use for the irrigated areas for 2001 and 2010; (iii) investigate the impact of irrigation system (flood/sprinkler) on the estimated ETa. The ReSET model,...

Abstract. Geostatistical techniques and remote sensing are used in this study to help reduce the number of soil salinity samples needed for mapping soil salinity. Two datasets were col-lected in alfalfa and corn fields and satellite images with different spatial and spectral resolu-tions from Ikonos, Landsat, and Aster were acquired and processed....

The approach presented in this study uses information derived from remote sensing to esti-mate (ET) as a residual from the surface energy balance equation. The objectives of this study are: 1) estimate the ET of the different irrigated crops in the South Platte River Basin; 2) compare the irrigated areas and the consumption use for the years 2001 a...

Three nonlinear geostatistical models—disjunctive kriging (DK), indicator kriging (IK), and probability kriging (PK)—were used to develop conditional probability (CP) maps based on soil salinity thresholds for two crops, alfalfa (Medicago sativa L.) and corn (Zea mays L.). The CP maps divide alfalfa and corn fields into zones with different probabi...

The performance of ordinary kriging (OK) is impacted by different factors that characterize the data sets being interpolated. The following factors were investigated as part of this study to evaluate the performance of OK in mapping soil salinity: (1) sampling density (field scale, subbasin scale, and subbasin scale merged with field scale); (2) sp...

Disjunctive kriging (DK) is a nonlinear geostatistical model that provides unbiased estimates of the conditional probability (CP) that the true value of the property of interest does not exceed a defined threshold. It has important implications in aiding management decisions by providing growers with a quantitative input that can be used for evalua...

This paper presents a practical method to manage soil salinity and yield in order to obtain maximum economic benefits. The method was applied to a study area located in the southeastern part of the Arkansas River Basin in Colorado where soil salinity is a problem in some areas. The following were the objectives of this study: (1) generate classifie...

The objectives of this study are: (1) to evaluate the LANDSAT best band combinations to estimate soil salinity with different crop types; (2) to compare ordinary kriging, regression kriging, and cokriging techniques to generate accurate soil salinity maps when applied to LANDSAT images; and (3) to compare the performance of different crop types: al...

The objectives of this study are: 1) to evaluate the best band combinations to es-timate soil salinity with each crop type; 2) to compare regression kriging and cokriging tech-niques when applied to LANDSAT images to generate accurate soil salinity maps; and to com-pare the performance of different crop types: alfalfa, cantaloupe, corn, and wheat a...

The aim of this study was to develop a methodology for collecting soil salinity samples. The objectives of this paper are to: (1) estimate the number of soil salinity samples needed to capture the variability in the soil salinity data with high accuracy; and (2) compare two types of satellite images with different resolutions: Ikonos with 4 m resol...

A new methodology, which integrates field data, geographic information systems, remote sensing, and spatial modeling, was developed to accurately model soil salinity using statistical tools. Ground data from four alfalfa (Medicago sativa L.) fields in the lower Arkansas River basin in Colorado were compared with data derived from Ikonos satellite i...

This article presents an accurate and simplified method for designing a furrow irrigation system that would be useful in arid regions with clay soils. Field experiments were conducted at a site in Egypt where cotton is grown in clay soils. The site is usually irrigated every 10 days and follows a three-turn crop rotation. Several parameters were me...

The objective of this study was to develop a methodology to generate high accuracy soil salinity maps with the minimum number of soil salinity samples. Variograms are used in this study to estimate the number of soil salinity samples that need to be collected. A modified residual krig-ing model was used to evaluate the relationship between soil sal...

This paper presents a practical method to manage soil salinity and yield in order to obtain maximum economic benefits. The method was applied to a study area located in the south eastern part of the Arkansas River Basin in Colorado where soil salinity is a problem in some areas. The following were the objectives: 1) generate classified maps and the...

A comprehensive salinity monitoring program has been conducted in a portion of the Arkansas Valley in southeastern Colorado from 1999 to the present. This area was selected for study because it provides a good illustration of a salinity-affected area. The main objective of this presentation is to utilize spatial statistical modeling using informati...

A new methodology is developed for generating accurate predicted soil salinity maps using remotely sensed data, field data, geographic information systems (GIS), and spatial modeling techniques. Soil salinity predictions derived from Ikonos and Landsat satellite images are compared with ground data collected from corn fields in a study area in Colo...

Two different techniques are evaluated in this study to estimate soil salinity in the lower Arkansas River Valley area in Colorado for both the sub-basin and field scales. Inverse Distance Weight (IDW) and Ordinary Kriging (OK) are evaluated as deterministic and geostatistical techniques respectively. Deterministic techniques depend on the assumpti...