A5084735063- Soil Moisture and Remote Sensing
- Hydrology and Watershed Management Studies
- Soil erosion and sediment transport
- Soil and Unsaturated Flow
- Remote Sensing in Agriculture
- Soil Geostatistics and Mapping
- Soil and Water Nutrient Dynamics
- Climate change and permafrost
- Remote Sensing and LiDAR Applications
- Engineering Education and Curriculum Development
- Water-Energy-Food Nexus Studies
- Climate change impacts on agriculture
- Plant Water Relations and Carbon Dynamics
- Experimental Learning in Engineering
- Leaf Properties and Growth Measurement
- Spectroscopy and Chemometric Analyses
- Hydrology and Sediment Transport Processes
- Greenhouse Technology and Climate Control
- Precipitation Measurement and Analysis
- Remote-Sensing Image Classification
- Land Use and Ecosystem Services
- Crop Yield and Soil Fertility
- Research Data Management Practices
- Irrigation Practices and Water Management
- Scientific Computing and Data Management
Iowa State University
2014-2024
University of Illinois System
2024
Bissell (United States)
2017-2021
University of Tehran
2016
Agricultural Research Service
2010
University of Illinois Urbana-Champaign
1998-2003
Depending on the topography and soil characteristics of an area, moisture, important factor in cropproductivity, can be quite variable over land surface. Thus, a method for determination moisture without thenecessity exhaustive manual measurements would beneficial characterizing within given region orfield. In this study, surface reflectance data visible near-infrared regions were analyzed conjunction withsurface field environment to determine nature relationship between two,...
The Midwestern U.S. landscape is one of the most highly altered and intensively managed ecosystems in country. predominant crops grown are maize (Zea mays L.) soybean [Glycine max (L.) Merr]. They typically as monocrops a simple yearly rotation or with multiple years (2 to 3) followed by single year soybean. This system productive because management systems have been well adapted regional growing conditions through substantial public private investment. Furthermore, markets supporting...
New spectral absorption photometry methods are introduced to estimate chlorophyll (Chl) content of corn leaves by smart phones. The first method acquires light passing through a leaf smartphone camera, compensating for differences in illumination conditions. In order improve performance the method, (SAP) with background has been considered as well. Data were acquired camera Iowa State University maize fields. Various indices extracted and their correlation Chl examined Minolta SPAD-502. Hue...
Wetland inventory maps are essential information for the conservation and management of natural wetland areas. The classification framework is crucial successful mapping complex wetlands, including model selection, input variables training procedures. In this context, deep neural network (DNN) a powerful technique remote sensing image classification, but application has not been discussed in previous literature, especially using commercial WorldView-3 data. This study developed new DNN...
Knowledge of soil moisture is needed to understand crop water use, hydrology, and microclimate. A reliable, rapidtechnique needed, recently an impedance probe (Theta Probe) has been accepted by the scientificcommunity. The purposes this study were calibrate for soils Central Iowa through field sampling, todetermine number samples calibration, determine effect temperature on calibration. Laboratorycalibration was conducted Des Moines lobe across a range contents temperatures. Including...
Knowledge of residue cover is crucial for targeting conservation efforts to reduce soil erosion, runoff, and associated environmental impacts; however, a rapid, accurate, inexpensive methodology not currently available. Previous studies have shown mixed results detecting crop using Landsat indices, but conditions generally included poor color contrast, emergent vegetation, or categorized cover. Our objectives were evaluate new normalized difference index (NDRI), along with other over...
Abstract Identifying and understanding the impact of field‐scale soil moisture patterns is currently limited by time resources required to do sufficient monitoring. This study uses K‐means clustering find critical sampling points estimate near‐surface moisture. Points within field are clustered based upon topographic soils data representing center those clusters identified as points. Soil observations at 42 sites across growing seasons 4 years were collected several times per week. Using...
Crop growth models have recently been implemented to study precision agriculture questions within the framework of a decision support system (DSS) that automates simulations across management zones. Model calibration in each zone has occurred by automatically optimizing select model parameters minimize error between measured and simulated yield over multiple growing seasons. However, date, there no efforts evaluate DSS. In this work, evaluation procedure based on leave-one-out...
The study presents hydrologic simulations assessing the potential impact of climate change on subsurface drainage and its pattern in Iowa's drained landscapes. contemporary (representing decade 1990s) future 2040s) climatic scenarios were generated by downscaling projections global model HadCM through two regional models RegCM2 HIRHAM to a grid box 52–55 km2, which contains Perry, IA. These used drive field scale deterministic DRAINMOD simulate from one predominant hydric soils, WEBSter,...
Highlights Farmed pothole depressions in the Des Moines Lobe were observed to fill due runoff and shallow subsurface flow. Six of eight potholes flooded for five or more days some time during two years observation. Subsurface drainage surface inlets reduced but did not prevent yield-limiting flooding potholes. Abstract. The prairie region (PPR) ranges from central Iowa northwest into Montana south Canada, totaling around 700,000 km 2 . This area contains millions potholes, enclosed...
Abstract Climate change projections indicate that precipitation events in the central United States are expected to become more intense, frequent spring, and less summer. Such a shift could adversely impact crop yields, especially subfield areas known as farmed potholes, which highly susceptible flooding ponding, death is likely occur, particularly early growing season. This suggests planting alternative crops, such flood tolerant perennials, these may be profitable option. Using...
Since corn plant stand density is important for optimizing crop yield, several researchers have recently developed ground-based systems automatic measurement of this growth parameter. Our objective was to use data from such a system assess the potential estimation using remote sensing images. Aerial hyperspectral imagery collected on three dates over plots in central Iowa during 2004 growing season. The had spatial resolution 1 m and spectral 3 nm between 498 855 nm. A machine vision...
The site-specific nature of P fate and transport in drained areas exemplifies the need for additional data to guide implementation conservation practices at catchment scale. Total (TP), dissolved reactive (DRP), total suspended solids (TSS) were monitored five sites-two streams, two tile outlets, a grassed waterway-in three agricultural subwatersheds (221.2-822.5 ha) draining Black Hawk Lake western Iowa. Median TP concentrations ranged from 0.034 1.490 0.008 0.055 mg L event baseflow...
Crop plants can funnel water to the soil and increase content more in row relative interrow. Because intercepts after rains higher root density, may also dry out between than does The objectives of this study were determine if there is a position difference wetting rain drying rains, seasonal nature these differences. first experiment examined 0 0.06 m row, interrow, quarter corn positions for eight sites at specific times during (Zea mays L.)-growing season. During growing season, second...
The slope length and steepness (LS) factor is one of the factors in Revised Universal Soil Loss Equation (RUSLE) needed to estimate average annual erosion rate. LS often derived from digital elevation models (DEM). DEM errors uncertainty could affect estimation consequently rate estimation. However, uncertainties are not always accounted for, effects evaluated This study compared a 62.81 ha agricultural crop area using 7.5 min USGS DEMs developed real-time kinematic differential GPS...