Publications
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Modeling riparian restoration impacts on the hydrologic cycle at the Babacomari Ranch, SE Arizona, USA
This paper describes coupling field experiments with surface and groundwater modeling to investigate rangelands of SE Arizona, USA using erosion-control structures to augment shallow and deep aquifer recharge. We collected field data to describe the physical and hydrological properties before and after gabions (caged riprap) were installed in an ephemeral channel. The modular finite-difference flo
Authors
Laura M. Norman, James B. Callegary, Laurel Lacher, Natalie R. Wilson, Chloé Fandel, Brandon T. Forbes, Tyson Swetnam
A bibliometric profile of the Remote Sensing Open Access Journal published by MDPI between 2009 and 2018
Remote Sensing Open Access Journal (RS OAJ) is an international leading journal in the field of remote sensing science and technology. It was first published in the year 2009 and is currently celebrating tenth year of publications. In this research, a bibliometric analysis of RS OAJ was conducted based on 5588 articles published during the 10-year (2009–2018) time-period. The bibliometric analysis
Authors
YuYing Zhang, Prasad S. Thenkabail, Peng Wang
Nominal 30-m cropland extent map of continental Africa by integrating pixel-based and object-based algorithms using Sentinel-2 and Landsat-8 Data on Google Earth Engine
A satellite-derived cropland extent map at high spatial resolution (30-m or better) is a must for food and water security analysis. Precise and accurate global cropland extent maps, indicating cropland and non-cropland areas, are starting points to develop higher-level products such as crop watering methods (irrigated or rainfed), cropping intensities (e.g., single, double, or continuous cropping)
Authors
Jun Xiong, Prasad S. Thenkabail, James C. Tilton, Murali Krishna Gumma, Pardhasaradhi G. Teluguntla, Adam Oliphant, Russell G. Congalton, Kamini Yadav, Noel Gorelick
MODIS phenology-derived, multi-year distribution of conterminous U.S. crop types
Innovative, open, and rapid methods to map crop types over large areas are needed for long-term cropland monitoring. We developed two novel and automated decision tree classification approaches to map crop types across the conterminous United States (U.S.) using MODIS 250 m resolution data: 1) generalized, and 2) year-specific classification. The classification approaches use similarities and diss
Authors
Richard Massey, T.T Sankey, Russ Congalton, Kamini Yadav, Prasad Thenkabail, Mutlu Ozdogan, Sanchez Meador
Developing earthquake forecast templates for fast and effective communication
No abstract available.
Authors
Sara McBride, Andrew J. Michael, Anne M. Wein, Jeanne L. Hardebeck, Julia S. Becker, Sally H. Potter, Suzanne C. Perry, Morgan T. Page, Matthew Gerstenberger, Edward H. Field, Nicholas van der Elst
An evidence-based approach for supporting scientists communicating earthquake forecasts
No abstract available.
Authors
Sara McBride, Anne M. Wein, Julia S. Becker, Sally H. Potter, E.E. Hudson-Doyle
Accuracies achieved in classifying five leading world crop types and their growth stages using optimal Earth Observing-1 Hyperion hyperspectral narrowbands on Google Earth Engine
As the global population increases, we face increasing demand for food and nutrition. Remote sensing can help monitor food availability to assess global food security rapidly and accurately enough to inform decision-making. However, advances in remote sensing technology are still often limited to multispectral broadband sensors. Although these sensors have many applications, they can be limited in
Authors
Itiya Aneece, Prasad S. Thenkabail
Spaceborne hyperspectral EO-1 hyperion data pre-processing: Methods, approaches, and algorithms
No abstract available.
Authors
Itiya P. Aneece, Prasad S. Thenkabail, John G. Lyon, Alfredo Huete, E. Terrence Slonecker
Crop water productivity estimation with hyperspectral remote sensing
Crop water productivity (CWP) is the ratio of accumulated crop biomass or yield (Y) to the water utilized to produce it, which is typically estimated using transpiration (ETC). CWP is an important metric to test and monitor water-saving strategies in agroecosystems across the globe. Red and near-infrared broadbands have been used to estimate CWP, because they capture biophysical constraints based
Authors
Michael Marshall, Itiya Aneece, Daniel Foley, Cai Xueliang, Trent Biggs
Fifty-years of advances in hyperspectral remote sensing of agriculture and vegetation-Summary, insights, and highlights of Volume IV
No abstract available.
Authors
Prasad S. Thenkabail, John G. Lyon, Alfredo Huete
Fifty years of advances in hyperspectral remote sensing of agriculture and vegetation—Summary, insights, and highlights of volume II
No abstract available.
Authors
Prasad S. Thenkabail, John G. Lyon, Alfredo Huete
Fifty-years of advances in hyperspectral remote sensing of agriculture and vegetation: Summary, insights, and highlights of volume III
The goal of this summary chapter is twofold. The first is to provide the reader an overview of the content of the preceding chapters. This they can read at the very beginning, before moving on to individual chapters in detail. Alternatively, they may read it at the very end to refresh their memory and to summarize the contents of the Volume. Second, this summary provides the editors’ perspective,
Authors
Prasad S. Thenkabail, John G. Lyon, Alfredo Huete