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Articles 211 - 240 of 707
Full-Text Articles in Physical Sciences and Mathematics
The Use Of Composite Goes-R Satellite Imagery To Evaluate A Tc Intensity And Vortex Structure Forecast By An Fv3gfs-Based Hurricane Forecast Model, Shaowu Bao, Zhan Zhang, Evan Kalina, Bin Liu
The Use Of Composite Goes-R Satellite Imagery To Evaluate A Tc Intensity And Vortex Structure Forecast By An Fv3gfs-Based Hurricane Forecast Model, Shaowu Bao, Zhan Zhang, Evan Kalina, Bin Liu
Marine Science
The HAFS model is an effort under the NGGPS and UFS initiatives to create the next generation of hurricane prediction and analysis system based on FV3-GFS. It has been validated extensively using traditional verification indicators such as tracker error and biases, intensity error and biases, and the radii of gale, damaging and hurricane strength winds. While satellite images have been used to verify hurricane model forecasts, they have not been used on HAFS. The community radiative transfer model CRTM is used to generate model synthetic satellite images from HAFS model forecast state variables. The 24 forecast snapshots in the mature …
Segmentation Of The Wassuk Range Normal Fault System, Nevada (Usa): Implications For Earthquake Rupture And Walker Lane Dynamics, Benjamin E. Surpless, Sarah Thorne
Segmentation Of The Wassuk Range Normal Fault System, Nevada (Usa): Implications For Earthquake Rupture And Walker Lane Dynamics, Benjamin E. Surpless, Sarah Thorne
Earth and Environmental Geosciences Faculty Research
Normal faults are commonly segmented along strike, with segments that localize strain and influence propagation of slip during earthquakes. Although geometry of segments can be constrained by fault mapping, it is challenging to determine seismically relevant segments along a fault zone. Because slip histories, geometries, and strength of linkages between normal fault segments fundamentally control the propagation of rupture during earthquakes, and differences in segment slip rates result in differential uplift of adjacent footwalls, we use along‐ strike changes in footwall morphology to detect fault segments and the relative strength of the mechanical links between them.
We apply a new …
Arithfusion: An Arithmetic Deep Model For Temporal Remote Sensing Image Fusion, Md Reshad Ul Hoque, Jian Wu, Chiman Kwan, Krzysztof Koperski, Jiang Li
Arithfusion: An Arithmetic Deep Model For Temporal Remote Sensing Image Fusion, Md Reshad Ul Hoque, Jian Wu, Chiman Kwan, Krzysztof Koperski, Jiang Li
Electrical & Computer Engineering Faculty Publications
Different satellite images may consist of variable numbers of channels which have different resolutions, and each satellite has a unique revisit period. For example, the Landsat-8 satellite images have 30 m resolution in their multispectral channels, the Sentinel-2 satellite images have 10 m resolution in the pan-sharp channel, and the National Agriculture Imagery Program (NAIP) aerial images have 1 m resolution. In this study, we propose a simple yet effective arithmetic deep model for multimodal temporal remote sensing image fusion. The proposed model takes both low- and high-resolution remote sensing images at t1 together with low-resolution images at a …
Fine Scale Mapping Of Laurentian Mixed Forest Natural Habitat Communities Using Multispectral Naip And Uav Datasets Combined With Machine Learning Methods, Parth P. Bhatt
Dissertations, Master's Theses and Master's Reports
Natural habitat communities are an important element of any forest ecosystem. Mapping and monitoring Laurentian Mixed Forest natural communities using high spatial resolution imagery is vital for management and conservation purposes. This study developed integrated spatial, spectral and Machine Learning (ML) approaches for mapping complex vegetation communities. The study utilized ultra-high and high spatial resolution National Agriculture Imagery Program (NAIP) and Unmanned Aerial Vehicle (UAV) datasets, and Digital Elevation Model (DEM). Complex natural vegetation community habitats in the Laurentian Mixed Forest of the Upper Midwest. A detailed workflow is presented to effectively process UAV imageries in a dense forest environment …
Characterization Of Site-Specific Vegetation Activity In Alaskan Wet And Dry Tundra As Related To Climate And Soil State, Michael Gregory Brown, Kyle C. Mcdonald, Reiner Zimmermann, Nicholas Steiner, Stephanie Devries, Laura Bourgeau-Chavez
Characterization Of Site-Specific Vegetation Activity In Alaskan Wet And Dry Tundra As Related To Climate And Soil State, Michael Gregory Brown, Kyle C. Mcdonald, Reiner Zimmermann, Nicholas Steiner, Stephanie Devries, Laura Bourgeau-Chavez
Advanced Science Research Center
We present discrete (2-h resolution) multi-year (2008–2017) in situ measurements of seasonal vegetation growth and soil biophysical properties from two sites on Alaska's North Slope, USA, representing dry and wet sedge tundra. We examine measurements of vertical active soil layer temperature and soil moisture profiles (freeze/thaw status), woody shrub vegetation physiological activity, and meteorological site data to assess interrelationships within (and between) these two study sites. Vegetation phenophases (cold de-hardening start, physiological function start, stem growth start, stem growth end, physiological function end, cold hardening completion) were found to have greater interannual day of year (DOY) occurrence variability at the …
Changes In Lake Drainage In The Western Canadian Arctic, Dilshan Kariyawasam, Philip Marsh Dr
Changes In Lake Drainage In The Western Canadian Arctic, Dilshan Kariyawasam, Philip Marsh Dr
Theses and Dissertations (Comprehensive)
Nearly half of all Pan-Arctic lakes are situated in the Canadian Arctic, with many of these lakes being of thermokarst origin. Thermokarst lakes are sensitive to changes in the surrounding environment, making them useful indicators to examine the condition of hydrological systems in response to rapid climate warming, a trend which has been well observed in the Canadian Western Arctic. In this study, we use aerial photography to quantify lake area and count changes for lakes in the Inuvik-Tuktoyaktuk region, between 1950 and 2004. A combination of aerial photography and Landsat imagery were used in identifying drained thermokarst lake basins …
Evaluation Of Tidal Fresh Forest Distributions And Tropical Storm Impacts Using Sentinel-2 Msi Imagery, Galen Costomiris
Evaluation Of Tidal Fresh Forest Distributions And Tropical Storm Impacts Using Sentinel-2 Msi Imagery, Galen Costomiris
College of Graduate Studies: Theses & Dissertations
Situated in the transitional zone between non-tidal forests upstream and tidal fresh marshes downstream, tidal fresh forests occupy a unique and increasingly precarious habitat. The threat of intensifying anthropogenic climate change, compounded by the effects of historical logging and drainage alterations, could reduce the extent of this valuable ecosystem. The overall goals of this project were to identify forest communities present in the Altamaha tidal fresh forest; develop satellite imagery-based classifications of tidal fresh forest and tidal marsh vegetation along the Altamaha River, Georgia; and to quantify changes in vegetation distribution in the aftermath of hurricanes Matthew and Irma. Based …
Recent Advances Toward Transparent Methane Emissions Monitoring: A Review, Broghan M. Erland, Andrew K. Thorpe, John Gamon
Recent Advances Toward Transparent Methane Emissions Monitoring: A Review, Broghan M. Erland, Andrew K. Thorpe, John Gamon
Department of Earth and Atmospheric Sciences: Faculty Publications
Given that anthropogenic greenhouse gas (GHG) emissions must be immediately reduced to avoid drastic increases in global temperature, methane emissions have been placed center stage in the fight against climate change. Methane has a significantly larger warming potential than carbon dioxide. A large percentage of methane emissions are in the form of industry emissions, some of which can now be readily identified and mitigated. This review considers recent advances in methane detection that allow accurate and transparent monitoring, which are needed for reducing uncertainty in source attribution and evaluating progress in emissions reductions. A particular focus is on complementary methods …
Analysis Of The Current And Future Land Use/Land Cover Changes In Peri-Urban Areas Of Dar Es Salaam City, Tanzania Using Remote Sensing And Gis Techniques, Erick T Mnyali, Silvia F Materu
Analysis Of The Current And Future Land Use/Land Cover Changes In Peri-Urban Areas Of Dar Es Salaam City, Tanzania Using Remote Sensing And Gis Techniques, Erick T Mnyali, Silvia F Materu
Tanzania Journal of Science
A rapid increase in population and urban development has direct impacts on the natural environment of peri-urban areas of big cities, especially in the developing countries. This study examined land use and land cover changes (LULCC) of peri-urban areas of Kinondoni Municipality in Dar es Salaam city for the period between 1999 and 2019 and predicted future changes by 2039. The specific objectives were to; (i) map the spatial-temporal land use and cover changes (ii) analyze settlements (built-up areas) patterns and factors influencing their changes (iii) predict changes that might happen for the next two decades. LULCC for 1999 to …
The Potential Of Remotely Sensed Vegetation Indices For Monitoring Pasture Condition, Pouria Ramzi, Karen Holmes
The Potential Of Remotely Sensed Vegetation Indices For Monitoring Pasture Condition, Pouria Ramzi, Karen Holmes
Resource management technical reports
The Department of Primary Industries and Regional Development (DPIRD) is developing an integrated monitoring system using remote sensing and on-ground measurements to track pasture condition across Western Australia’s pastoral region. We extended and adapted the methods developed in the Pastoral Lease Assessment Using Geospatial Analysis (PLAGA) project (Robinson et al. 2012), which combined remotely sensed vegetation indices (VIs) with on-ground pasture condition observations to assess the potential of using different vegetation indices in a statewide condition monitoring system.
There were 6 regions in WA’s pastoral rangelands with DPIRD on-ground condition traverse points: Kimberley and Broome, Pilbara, Yalgoo and Sandstone, Goldfields, …
Shipboard Lidar As A Tool For Remotely Measuring The Distribution And Bulk Characteristics Of Marine Particles, Brian Leigh Collister
Shipboard Lidar As A Tool For Remotely Measuring The Distribution And Bulk Characteristics Of Marine Particles, Brian Leigh Collister
OES Theses and Dissertations
Light detection and ranging (lidar) can provide remote estimates of the vertical distribution of optical properties in the ocean, potentially revolutionizing our ability to characterize the spatial structure of upper ocean ecosystems. However, challenges associated with quantifying the relationship between lidar measurements and biogeochemical properties of interest have prevented its adoption for routinely mapping the vertical structure of marine ecosystems. To address this, we developed a shipboard oceanographic lidar that measures attenuation (α) and linear depolarization (δ) at scales identical to those of in-water optical and biogeochemical measurements. The instrument’s ability to resolve the distribution of optical and biogeochemical properties …
Floodplain Forests Vegetation Dynamics Driven By Water Deficits Across Scales, Nga Thanh Nguyen
Floodplain Forests Vegetation Dynamics Driven By Water Deficits Across Scales, Nga Thanh Nguyen
LSU Doctoral Dissertations
Restoration of floodplain ecosystems relies on identifying the most crucial hydrologic process which has been altered by human and climate. Flooding is a well-known dominant hydrologic process for floodplain ecosystems, but surprisingly little is known about drought's role in structuring ecosystems. In addition, several issues remained uncertain, such as the nature of drought within floodplains and the sensitivity of floodplain species-specific growth to climate. These gaps of understanding have in common in missing observations of mechanistic pathways of vegetation response to water deficits at multiple scales in time and space.Generally, this research contributed to floodplain management by expanding our understanding …
Maris: Scalable Online Scenario Development Tool For Rangeland Conservancy Managers Using High Spatial-Temporal Resolution Carrying Capacity Maps And Livestock Market Data, L. G. J. Boerboom, R. O. Ohuru, A. G. Toxopeus, W. Nieuwenhuis, C. A. J. M. De Bie, P. K. Mwangi, M. L. Schouwenburg, R. L. G. Lemmens
Maris: Scalable Online Scenario Development Tool For Rangeland Conservancy Managers Using High Spatial-Temporal Resolution Carrying Capacity Maps And Livestock Market Data, L. G. J. Boerboom, R. O. Ohuru, A. G. Toxopeus, W. Nieuwenhuis, C. A. J. M. De Bie, P. K. Mwangi, M. L. Schouwenburg, R. L. G. Lemmens
IGC Proceedings (1977-2023)
Although the management of livestock numbers within the bounds of carrying capacity of African rangelands is a way to manage risks, both scientists and practitioners, caution against a momentary and local use of carrying capacity as a management indicator. Carrying capacity should be seen in wider spatial and temporal/seasonal context as well as in a social and economic context. Given the large numbers of conservancies across Kenya, and its Maasai Mara region in particular, with many more landowner members, it is difficult for conservancies’ managers to contextualize phenomena such as carrying capacity and market price over space and time.
We …
Automated Detection And Characterization Of Mesocyclones In X-Band Radar Observations, Raychel E. Nelson
Automated Detection And Characterization Of Mesocyclones In X-Band Radar Observations, Raychel E. Nelson
The Journal of Purdue Undergraduate Research
No abstract provided.
Use Of Remote Sensing To Guide The Assessment Of Temperate Grassland Degradation In The Territory, M. Martinez
Use Of Remote Sensing To Guide The Assessment Of Temperate Grassland Degradation In The Territory, M. Martinez
IGC Proceedings (1977-2023)
The methodology Participatory Rangeland and Grassland Assessment (PRAGA), in its baseline phase, more specifically in stage 4, suggests remote sensing to assess at landscape scale. In order to determine the sites to be evaluated, grassland pixels of the Modis sensor were taken into account. Within it, three types of soils were differentiated: superficial, medium and deep, according to the previous existing cartography (2).
Within each soil type, pixels with significant trends (ἀ < 0.05), positive and negative (bright and hot), for the period 2000 -2017, were searched for both, IPSE and RESTREND. Therefore, 6 pixels of the Modis sensor were selected for each landscape.
From the field evaluation it appears that the greatest difference between the bright and hot trends was the height of the forage, and that both are pasture conditions …
"Estimation Of The Primary Net Production Above Ground Through Remote Sensing In A Pastoral System Of The Colombian Altillanura.", R. A. Díaz, M. Álvarez, O. Pérez, J. Bernal, M. Arango
"Estimation Of The Primary Net Production Above Ground Through Remote Sensing In A Pastoral System Of The Colombian Altillanura.", R. A. Díaz, M. Álvarez, O. Pérez, J. Bernal, M. Arango
IGC Proceedings (1977-2023)
The primary net production above ground (ANPP) represents the main forage resource that supports the bovine production systems and its valuation is essential to help in the decision making on the management of the pastures. The ANPP has been estimated by periodic biomass courtesy, but with the use of the remote sensor integrated into the efficiency model formulated by Monteih (1972), it has been possible to estimate this biophysical parameter more efficiently at different scales and at low cost. The objective of this study was to estimate the PPNA based on a model of efficiency in the use of light …
Atmospheric Tomography Using The Nordic Meteor Radar Cluster And Chilean Observation Network De Meteor Radars: Network Details And 3d-Var Retrieval, Gunter Stober, Alan Z. Liu, Zishun Qiao, Alexander Kozlovsky, Masaki Tsutsumi, Chris Hall, Satonori Nozawa, Mark Lester, Evgenia Belova, Johan Kero, Patrick J. Espy, Robert E. Hibbins, Nicholas Mitchell
Atmospheric Tomography Using The Nordic Meteor Radar Cluster And Chilean Observation Network De Meteor Radars: Network Details And 3d-Var Retrieval, Gunter Stober, Alan Z. Liu, Zishun Qiao, Alexander Kozlovsky, Masaki Tsutsumi, Chris Hall, Satonori Nozawa, Mark Lester, Evgenia Belova, Johan Kero, Patrick J. Espy, Robert E. Hibbins, Nicholas Mitchell
Publications
Ground-based remote sensing of atmospheric parameters is often limited to single station observations by vertical profiles at a certain geographic location. This is a limiting factor for investigating gravity wave dynamics as the spatial information is often missing, e.g., horizontal wavelength, propagation direction or intrinsic frequency. In this study, we present a new retrieval algorithm for multistatic meteor radar networks to obtain tomographic 3-D wind fields within a pre-defined domain area. The algorithm is part of the Agile Software for Gravity wAve Regional Dynamics (ASGARD) and called 3D-Var, and based on the optimal estimation technique and Bayesian statistics. The performance …
Improved Out-Of-Plane Brdf Measurement And Modeling, Todd V. Small
Improved Out-Of-Plane Brdf Measurement And Modeling, Todd V. Small
Theses and Dissertations
The bi-directional reflectance distribution function (BRDF) describes the directional (spatial) nature of light’s reflectance from a material surface. When incident light of a particular wavelength strikes a material surface from a particular direction, portions of that incident light will be reflected into various directions in various amounts, depending on the material’s surface characteristics. Historically, the vast majority of BRDF measurement and modeling research has focused on reflection within the plane-of incidence (in-plane) and dealt primarily with simplified isotropic BRDFs. Remote sensing applications, such as satellite light curve analysis, typically rely on closed-form microfacet models for efficiency. There are many factors, …
Kinematics Of The Exceptionally-Short Surge Cycles Of Sít’ Kusá (Turner Glacier), Alaska, From 1983 To 2013, Andrew Nolan, William Kochtitzky, Ellyn M. Enderlin, Robert Mcnabb, Karl J. Kreutz
Kinematics Of The Exceptionally-Short Surge Cycles Of Sít’ Kusá (Turner Glacier), Alaska, From 1983 To 2013, Andrew Nolan, William Kochtitzky, Ellyn M. Enderlin, Robert Mcnabb, Karl J. Kreutz
Geosciences Faculty Publications and Presentations
Glacier surges are periodic episodes of mass redistribution characterized by dramatic increases in ice flow velocity and, sometimes, terminus advance. We use optical satellite imagery to document five previously unexamined surge events of Sít’ Kusá (Turner Glacier) in the St. Elias Mountains of Alaska from 1983 to 2013. Surge events had an average recurrence interval of ~5 years, making it the shortest known regular recurrence interval in the world. Surge events appear to initiate in the winter, with speeds reaching up to ~25 m d−1. The surges propagate down-glacier over ~2 years, resulting in maximum thinning of ~100 …
Dynamic Mass Loss From Greenland's Peripheral Glaciers, Katherine E. Bollen
Dynamic Mass Loss From Greenland's Peripheral Glaciers, Katherine E. Bollen
Boise State University Theses and Dissertations
While global glacier mass balance has decreased rapidly over the last two decades, mass loss has been greatest in regions with marine-terminating glaciers. In Greenland, peripheral glaciers and ice caps (GICs) cover only ~5% of Greenland’s area but contributed ~14-20% of the island’s ice mass loss between 2003-2008. Although Greenland GIC’s mass loss due to surface meltwater runoff have been estimated using atmospheric models, mass loss due to changes in ice discharge into surrounding ocean basins (i.e., dynamic mass loss) remains unquantified. Here, we use the flux gate method to estimate discharge from Greenland’s 594 marine-terminating peripheral glaciers between 1985 …
Site Selection For Coral Reef Restoration Using Airborne Imaging Spectroscopy, Steven R. Schill, Gregory P. Asner, Valerie Pietsch Mcnulty, F. Joseph Pollock, Aldo Croquer, Nicholas R. Vaughn, Ximena Escovar-Fadul, George Raber, Elizabeth Shaver
Site Selection For Coral Reef Restoration Using Airborne Imaging Spectroscopy, Steven R. Schill, Gregory P. Asner, Valerie Pietsch Mcnulty, F. Joseph Pollock, Aldo Croquer, Nicholas R. Vaughn, Ximena Escovar-Fadul, George Raber, Elizabeth Shaver
Faculty Publications
Over the past decade, coral restoration efforts have increased as reefs continue to decline at unprecedented rates. Identifying suitable coral outplanting locations to maximize coral survival continues to be one of the biggest challenges for restoration practitioners. Here, we demonstrate methods of using derivatives from imaging spectroscopy from the Global Airborne Observatory (GAO) to identify suitable coral outplant sites and report on the survival rates of restored coral at those sites. Outplant sites for a community-based, citizen science outplant event in Bávaro, Dominican Republic, were identified using expert-defined criteria applied to a suitability model from data layers derived from airborne …
Examining Melt Pond Dynamics And Light Availability In The Arctic Ocean Via High Resolution Satellite Imagery, Austin Wesley Abbott
Examining Melt Pond Dynamics And Light Availability In The Arctic Ocean Via High Resolution Satellite Imagery, Austin Wesley Abbott
OES Theses and Dissertations
As the Arctic experiences consequences of climate change, a shift from thicker, multi-year ice to thinner, first-year ice has been observed. First-year ice is prone to extensive pools of meltwater (“melt ponds”) forming on its surface, which enhance light transmission to the ocean. Changes in the timing and distribution of melt pond formation and associated increases in under-ice light availability are the primary drivers for seasonal progression of water column primary production and warming. Observations of melt pond development and distribution require meter scale resolution and have traditionally been limited to airborne images. However, recent advances in high spatial resolution …
Towards An Integrated Assessment Of Sea-Level Observations Along The U.S. Atlantic Coast, Brett A. Buzzanga
Towards An Integrated Assessment Of Sea-Level Observations Along The U.S. Atlantic Coast, Brett A. Buzzanga
OES Theses and Dissertations
Sea levels are rising globally due to anthropogenic climate change. However, local sea levels that impact coastal ecosystems often differ from the global trend, sometimes by a factor of two or more. Improved understanding of this regional variability provides insights into geophysical processes and has implications for coastal communities developing resilience to ongoing sea-level rise. This dissertation conducts an investigation of sea level and its contributing processes at multiple spatial scales. Focusing on primarily interannual time-scales and data-driven approaches, new data sources and technologies are utilized to reduce current uncertainties.
First, sea-level trends are assessed over the global ocean and …
Assessing Impacts Of Winter-Hay Feeding On Soil And Forage Nutrient Dynamics In A Rotationally-Grazed Pasture System In Arkansas, Lawrence Gordon Berry Iv
Assessing Impacts Of Winter-Hay Feeding On Soil And Forage Nutrient Dynamics In A Rotationally-Grazed Pasture System In Arkansas, Lawrence Gordon Berry Iv
Graduate Theses and Dissertations
More than 38 % of United States’ rural land area was used for grazing (i.e., pastureland or rangeland) ruminant animals in 2017, constituting the largest private land use group. The expansive nature of these lands means that grazing and pasture management decisions have potential to impact water quality as well as profit margins. As a result, beef producers are under increased pressure from economic and environmental standpoints to limit application of nutrients beyond those required to grow the forage needed for animal consumption. At the same time, a large amount of nutrients is recycled back to pasture systems directly from …
Groundwater Level Assessment And Prediction In The Nebraska Sand Hills Using Lidar-Derived Lake Water Level, Nawaraj Shrestha, Aaron R. Mittelstet, Aaron R. Young, Troy E. Gilmore, David C. Gosselin, Yi Qi, Caner Zeyrek
Groundwater Level Assessment And Prediction In The Nebraska Sand Hills Using Lidar-Derived Lake Water Level, Nawaraj Shrestha, Aaron R. Mittelstet, Aaron R. Young, Troy E. Gilmore, David C. Gosselin, Yi Qi, Caner Zeyrek
School of Natural Resources: Faculty Publications
The spatial variability of groundwater levels is often inferred from sparsely located hydraulic head observations in wells. The spatial correlation structure derived from sparse observations is associated with uncertainties that spread to estimates at unsampled locations. In areas where surface water represents the nearby groundwater level, remote sensing techniques can estimate and increase the number of hydraulic head measurements. This research uses light detection and ranging (LIDAR) to estimate lake surface water level to characterize the groundwater level in the Nebraska Sand Hills (NSH), an area with few observation wells. The LIDAR derived lake groundwater level accuracy was within 40 …
Characterizing Soil Stiffness Using Thermal Remote Sensing And Machine Learning, Jordan Ewing, T. Oommen, Paramsothy Jayakumar, Russell Alger
Characterizing Soil Stiffness Using Thermal Remote Sensing And Machine Learning, Jordan Ewing, T. Oommen, Paramsothy Jayakumar, Russell Alger
Michigan Tech Publications, Part 1
Soil strength characterization is essential for any problem that deals with geomechanics, including terramechanics/terrain mobility. Presently, the primary method of collecting soil strength parameters through in situ measurements but sending a team of people out to a site to collect data this has significant cost implications and accessing the location with the necessary equipment can be difficult. Remote sensing provides an alternate approach to in situ measurements. In this lab study, we compare the use of Apparent Thermal Inertia (ATI) against a GeoGauge for the direct testing of soil stiffness. ATI correlates with stiffness, so it allows one to predict …
Four Decades Of Understanding Martian Geomorphology: Revisiting Baker's "The Geomorphology Of Mars", Anshuman Bhardwaj, Lydia Sam, Saeideh Gharehchahi
Four Decades Of Understanding Martian Geomorphology: Revisiting Baker's "The Geomorphology Of Mars", Anshuman Bhardwaj, Lydia Sam, Saeideh Gharehchahi
Research, Publications & Creative Work
Owing to multiple successful orbiter and rover missions in the past two and half decades, our understanding of the Martian atmosphere, terrain, and subsurface has continuously evolved. This prompts the need to revisit the first holistic review of Martian geomorphology based on useful images from Viking Mission orbiters, authored by Prof. Victor R. Baker. Several of the remote sensing-based interpretations and recommendations in Baker’s (1981) paper are as valid even today as they were four decades back. With an unprecedented focus on Mars exploration in the coming decades, it is important to briefly revisit the advances and prospects in Martian …
Land Cover Image Segmentation Based On Individual Class Binary Segmentation, Sathyanarayanan Somasunder
Land Cover Image Segmentation Based On Individual Class Binary Segmentation, Sathyanarayanan Somasunder
Theses
Remote sensing techniques have been developed over the past decades to acquire data without being in contact of the target object or data source. Their application on land-cover image segmentation has attracted significant attention in recent years. With the help of satellites, scientists and researchers can collect and store high resolution image data that can be further processed, segmented, and classified. However, these research results have not yet been synthesized to provide coherent guidance on the effect of variant land-cover segmentation processes. In this paper, we present a novel model that augments segmentation using smaller networks to segment individual classes. …
An Evaluation Of Unmanned Aircraft System (Uas) As A Practical Tool For Salt Marsh Restoration Monitoring, San Francisco Bay, Ca, Kevin Eng
Master's Projects and Capstones
Salt marshes in the San Francisco Bay area provide essential ecosystem services from critical habitat to buffering coastal flooding and are the focus of substantial ecological restoration, necessitating improved restoration monitoring approaches. Metrics such as land cover classification, bare ground elevation, and vegetation height provide an understanding of the functionality and health of tidal wetlands. Unlike traditional monitoring methods, which rely on time and labor-intensive field surveys or macroscale remote sensing techniques, unmanned aircraft systems (UAS) provide site specific high spatial resolution data that is comparable to satellite and manned aircraft derived imagery. I compared published literature and provided primary …
Local- And Regional-Scale Forcing Of Glacier Mass Balance Changes In The Swiss Alps, Saeideh Gharehchahi, Thomas J. Ballinger, Jennifer L.R. Jensen, Anshuman Bhardwaj, Lydia Sam, Russell C. Weaver, David R. Butler
Local- And Regional-Scale Forcing Of Glacier Mass Balance Changes In The Swiss Alps, Saeideh Gharehchahi, Thomas J. Ballinger, Jennifer L.R. Jensen, Anshuman Bhardwaj, Lydia Sam, Russell C. Weaver, David R. Butler
Research, Publications & Creative Work
Glacier mass variations are climate indicators. Therefore, it is essential to examine both winter and summer mass balance variability over a long period of time to address climate-related ice mass fluctuations. In this study, we analyze glacier mass balance components and hypsometric characteristics with respect to their interactions with local meteorological variables and remote large-scale atmospheric and oceanic patterns. The results show that all selected glaciers have lost their equilibrium condition in recent decades, with persistent negative annual mass balance trends and decreasing accumulation area ratios (AARs), accompanied by increasing air temperatures of +0.45 C decade 1. The controlling factor …