Yuki Hamada

Yuki Hamada
Argonne National Laboratory | ANL · Division of Environmental Science

PhD

About

29
Publications
4,254
Reads
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461
Citations

Publications

Publications (29)
Article
Despite their vital role in terrestrial ecosystem function, the distributions and dynamics of soil microbial communities (SMCs) are poorly understood. Vegetation and soil properties are the primary factors that influence SMCs. This paper discusses the potential effectiveness of remote sensing science and technologies for mapping SMC biogeography by...
Article
A spectral index, i.e., the erosion resistance index (ERI), was developed to assess erosion risks in desert landscapes. The index was developed by applying trigonometry to the combination of the green-red band ratio and the green-near-infrared band ratio from very high spatial resolution multispectral imagery. The resultant ERI maps showed spatiall...
Article
Mapping of ephemeral streams in desert environments is crucial to understanding the impacts to hydrologic and ecosystem functions caused by land-use changes. Available mapping methods at the watershed-scale typically underestimate total channel length and the size of channel networks. Although remote sensing is effective for obtaining information o...
Article
Full-text available
Arid and semi-arid shrublands have significant biological and economical values and have been experiencing dramatic changes due to human activities. In California, California sage scrub (CSS) is one of the most endangered plant communities in the US and requires close monitoring in order to conserve this important biological resource. We investigat...
Article
Exotic plant invasion is a major environmental and ecological concern and is a particular issue for Mediterranean-type ecosystems. Early detection of invasive plants is crucial for effective weed management. Several studies have explored hyperspectral imagery for mapping invasive plants with promising results. However, only a few extensive or compa...
Article
Full-text available
A sustainable bioeconomy would require growing high-yielding bioenergy crops on marginal agricultural areas with minimal inputs. To determine the cost competitiveness and environmental sustainability of such production systems, reliably estimating biomass yield is critical. However, because marginal areas are often small and spread across the lands...
Article
Full-text available
The United States Department of Agriculture (USDA) Cropland Data Layer (CDL) provides spatially explicit information about crop production area and has served as a prevalent data source for characterizing cropland change in the U.S. in the last decade. Understanding the accuracy of the CDL is paramount because of the reliance on it for management a...
Article
Full-text available
Despite an advanced ability to forecast ecosystem functions and climate at regional and global scales, little is known about relationships between local variations in water and carbon fluxes and large-scale phenomena. To enable data collection of local-scale ecosystem functions to support such investigations, we developed the EcoSpec system, a high...
Article
Full-text available
Desert environments are sensitive to disturbances, and their functions and processes can take many years to recover. Detecting early signs of disturbance is critical, but developing such a capability for expansive remote desert regions is challenging. Using a variogram and 15-cm resolution Visible Atmospherically Resistant Index (VARI) imagery, we...
Technical Report
Full-text available
Monitoring environmental impacts over large, remote desert regions for long periods of time can be very costly. Remote sensing technologies present a promising monitoring tool because they entail the collection of spatially contiguous data, automated processing, and streamlined data analysis. This report provides a summary of remote sensing product...
Poster
Full-text available
Demonstrate the use of conditional inference (CI) trees as a knowledge-assisted feature selection method for high-dimensional time series forecasting using ANNs with a focus on optimizing model interpretability and prediction accuracy.
Technical Report
Full-text available
This report describes long term monitoring (LTM) requirements, including requirements for visual resources and night sky resources monitoring, for the Riverside East Solar Energy Zone (SEZ), located in Riverside County in southeastern California. In 2012 the Bureau of Land Management (BLM) created a comprehensive solar energy program which identifi...
Technical Report
Low-velocity channel-margin habitats serve as important nursery habitats for the endangered Colorado pikeminnow (Ptychocheilus lucius) in the middle Green River between Jensen and Ouray, Utah. These habitats, known as backwaters, are associated with emergent sand bars, and are shaped and reformed annually by peak flows. A recent synthesis of inform...
Article
Full-text available
Biofuels are important alternatives for meeting our future energy needs. Successful bioenergy crop production requires maintaining environmental sustainability and minimum impacts on current net annual food, feed, and fiber production. The objectives of this study were to: (1) determine under-productive areas within an agricultural field in a water...
Article
Full-text available
A monitoring plan that incorporates regional datasets and integrates cost-effective data collection methods is necessary to sustain the long-term environmental monitoring of utility- scale solar energy developments in expansive, environmentally sensitive desert regions. An image processing routine using very high spatial resolution (VHSR; i.e., 15...
Technical Report
Full-text available
In anticipation of increased utility‐scale solar energy development over the next 20 to 50 years, federal agencies and other organizations have identified a need to develop comprehensive long‐term monitoring programs specific to solar energy development. Increasingly, stakeholders are requesting that federal agencies, such as the U.S. Department of...
Article
Large areas of public lands administered by the Bureau of Land Management and located in arid regions of the southwestern United States are being considered for the development of utility-scale solar energy facilities. Land-disturbing activities in these desert, alluvium-filled valleys have the potential to adversely affect the hydrologic and ecolo...
Article
Full-text available
Sampling ecosystems, even at a local scale, at the temporal and spatial resolution necessary to capture natural variability in microbial communities are prohibitively expensive. We extrapolated marine surface microbial community structure and metabolic potential from 72 16S rRNA amplicon and 8 metagenomic observations using remotely sensed environm...
Article
Full-text available
A recent assessment that quantified potential impacts of solar energy development on water resources in the southwestern United States necessitated the development of a methodology to identify locations of mountain front recharge (MFR) in order to guide land development decisions. A spatially explicit, slope-based algorithm was created to delineate...
Article
With the Earth's climate, flora, and fauna undergoing rapid change, understanding terrestrial ecosystem processes and their sensitivity to environmental and biotic conditions has become paramount. Many theories and models remain rudimentary due to sensor and environmental data inadequacies that persist despite rapid developments in sensor, computin...
Article
Full-text available
With the Earth's climate, flora, and fauna undergoing rapid change, understanding terrestrial ecosystem processes and their sensitivity to environmental and biotic conditions has become paramount. Many theories and models remain rudimentary due to sensor and environmental data inadequacies that persist despite rapid developments in sensor, computin...
Article
Never has there been a greater opportunity for investigating microbial communities. Not only are the profound effects of microbial ecology on every aspect of Earth's geochemical cycles beginning to be understood, but also the analytical and computational tools for investigating microbial Earth are undergoing a rapid revolution. This environmental m...
Article
The Bureau of Land Management (BLM) and the Department of Energy are preparing a joint programmatic environmental impact statement (PEIS) assessing the potential impacts of utility-scale solar energy development on BLM-administered lands in six southwestern states. One of the alternatives considered in the PEIS involves development within identifie...
Article
Full-text available
The California sage scrub (CSS) community type in California's Mediterranean-type ecosystems supports a large number of rare, threatened, and endangered species, and is critically degraded and endangered. Monitoring ecological variables that provide information about community integrity is vital to conserving these biologically diverse communities....
Article
Full-text available
Biodiversity loss is an urgent global issue. For California's Mediterranean-type ecosystems, protecting biologically diverse vegetation communities such as the California sage scrub (CSS) community type is vital to conserving rare, threatened, or endangered species, as well as overall species richness of the southern and Baja California region. Whi...
Article
An object-based approach to generating shrub cover change maps of potential use for monitoring shrubland habitat reserves was developed and tested. A high fidelity, bi-temporal airborne image data set was generated through frame-based image acquisition, precise image-to-image registration, radiometric normalization, and selection of near-anniversar...

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Projects

Projects (2)
Project
The project aims to translate observations of individuals at a local scale into species population-level knowledge at a landscape scale to understand sound tradeoffs in order to accelerate clean energy deployment with ecologically mindful decision making.
Project
Develop a method of feature selection utilizing conditional inference forests for time series forecasting using back propagation neural networks.