A5037481644- Remote Sensing in Agriculture
- Leaf Properties and Growth Measurement
- Land Use and Ecosystem Services
- Plant Water Relations and Carbon Dynamics
- Urban Heat Island Mitigation
- Remote Sensing and LiDAR Applications
- Plant responses to elevated CO2
- Flood Risk Assessment and Management
- Water Quality Monitoring and Analysis
- Remote Sensing and Land Use
- Nuclear Physics and Applications
- Infrared Target Detection Methodologies
- Soil Moisture and Remote Sensing
- Smart Agriculture and AI
- Soil and Unsaturated Flow
- Aquatic Ecosystems and Phytoplankton Dynamics
- Data-Driven Disease Surveillance
- Marine and coastal ecosystems
- Calibration and Measurement Techniques
- Atmospheric and Environmental Gas Dynamics
- Spectroscopy and Chemometric Analyses
- Transboundary Water Resource Management
- Plant Ecology and Soil Science
- Genetics and Plant Breeding
- Tropical and Extratropical Cyclones Research
National Geospatial-Intelligence Agency
2017-2023
University of Nebraska–Lincoln
2012-2021
Louisiana Department of Natural Resources
2015
Indiana University – Purdue University Indianapolis
2013
University of Indianapolis
2013
Vegetation indices (VIs), traditionally used for estimation of green leaf area index (gLAI), have different sensitivities along the range gLAI variability. The goals this study were to: (i) test 12 VIs estimating in maize ( Zea mays L.) and soybean [ Glycine max (L.) Merr.]; (ii) estimate both crops without need to reparameterize algorithms crops; (iii) devise a combined VI that is maximally sensitive its entire was performed eight growing seasons (2001–2008) one irrigated rainfed field...
Canopy chlorophyll content (Chl) closely relates to plant photosynthetic capacity, nitrogen status and productivity. The goal of this study is develop remote sensing techniques for accurate estimation canopy Chl during the entire growing season without re-parameterization algorithms two contrasting crop species, maize soybean. These crops represent different biochemical mechanisms photosynthesis, leaf structure architecture. relationships between reflectance, collected at close range...
Abstract. The need for accurate, real-time, reliable, and multi-scale soil water content (SWC) monitoring is critical a multitude of scientific disciplines trying to understand predict the Earth's terrestrial energy, water, nutrient cycles. One promising technique help meet this demand fixed roving cosmic-ray neutron probes (CRNPs). However, relationship between observed low-energy neutrons SWC affected by local vegetation calibration parameters. This effect may be accounted equation based...
This study developed a set of algorithms for satellite mapping green leaf area index (LAI) in C3 and C4 crops. In situ hyperspectral reflectance LAI data, collected across eight years (2001–2008) at three AmeriFlux sites Nebraska USA over irrigated rain-fed maize soybean, were used algorithm development. The was resampled to simulate the spectral bands sensors aboard operational satellites (Aqua Terra: MODIS, Landsat: TM/ETM+), legacy (Envisat: MERIS), future (Sentinel-2, Sentinel-3, Venµs)....
Informative spectral bands for green leaf area index (LAI) estimation in two crops were identified and generic models soybean maize developed validated using data taken at close range. The objective of this paper was to test Aqua Terra MODIS, Landsat TM ETM+, ENVISAT MERIS surface reflectance products, simulated the recently-launched Sentinel 2 MSI 3 OLCI. Special emphasis placed on testing which require no re-parameterization these species. Four techniques investigated: support vector...
This study utilized a leaf color chart (LCC) to characterize the variation in chlorophyll and estimate canopy maize (Zea mays). The LCC consisted of four levels greenness was used sort leaves 2011 for three fields near Mead, Nebraska, USA. Leaf content each class determined using two leaf-level sensors. within reasonable (CV < 56%). darkest predominated indicated adequate fertilization rates Minolta SPAD-502 meter. Canopy estimated destructively measured area index (LAI) LCC. approach...
Real‐time monitoring of crop vegetation fraction and identification development stages provides useful information for management. Using sensors at close range makes it possible to collect data with very high temporal resolution. This study used four‐band radiometers green, red, red edge, near infrared spectral bands daily maize ( Zea mays L.) soybean [ Glycine max (L.) Merr.] reflectance during the growing season in three fields over 3 yr. Two were continuous irrigated third was managed...
Digital cameras can collect quantitative leaf data, such as chlorophyll content and area index (LAI), because they act a simple broadband radiometer. However, cross-calibration between is needed for the purpose of extracting vegetation information from various image repositories. The objective this study was to examine variation multiple consumer-grade camera types – single reflex lens (SLR), point-and-shoot, cellphone collecting reliable data when monitoring vegetation. specific objectives...
© 2017 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).CORRESPONDING AUTHOR: Faisal Hossain, fhossain@uw.edu
Gross primary production (GPP) is a measure for crop productivity, indicating yield and expressing C exchange of agro‐ecosystems. A multitude satellite sensors at varying spatial spectral resolution brings possibility to use remotely sensed data regional global GPP estimation. More work still needed develop algorithms estimation applicable multiple, if not all, vegetation types, phenological phases, environmental conditions. This study employed neural networks (NN), multiple linear...
Vegetation indices (VIs), which are combinations of various remote-sensing spectral bands, widely used to study biophysical properties. There many articles introducing new VIs with the intention minimizing factors such as soil background, canopy architecture, and row structure, while maximizing sensitivity a specific characteristic green leaf area index. Two introduced in previous for estimation index modified chlorophyll absorption ratio 2 (MCARI2) triangular vegetation (MTVI2). This...
Core Ideas The combination of crop and soil models can predict daily measured CO 2 emissions. Crop residue is the main source carbon inputs to largely determines organic carbon. Where removed for biofuels, increased emissions will occur. an abundant resource potential production but a better understanding its use on net must be developed mitigate climate change. This analysis combines two established growth (Hybrid‐Maize Soysim) with simple respiration model estimate ecosystem (ERe) from...
Abstract. The need for accurate, real-time, reliable, and multi-scale soil water content (SWC) monitoring is critical a multitude of scientific disciplines trying to understand predict the earth's terrestrial energy, water, nutrient cycles. One promising technique help meet this demand fixed roving cosmic-ray neutron probes (CRNP). However, relationship between observed low-energy neutrons SWC affected by local vegetation calibration parameters. This effect may be accounted equation based on...