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Acoustic Signatures Of Habitat Types In The Miombo Woodlands Of Western Tanzania, Sheryl Vanessa Amorocho, Dante Francomano, Kristen M. Bellisario, Ben Gottesman, Bryan C. Pijanowski 2017 Universidad de Los Andes - Colombia

Acoustic Signatures Of Habitat Types In The Miombo Woodlands Of Western Tanzania, Sheryl Vanessa Amorocho, Dante Francomano, Kristen M. Bellisario, Ben Gottesman, Bryan C. Pijanowski

The Summer Undergraduate Research Fellowship (SURF) Symposium

The Miombo Woodlands of Tanzania comprise several habitat types that are home to a great number of flora and fauna. Understanding their responses to increasing human disturbance is important for conservation, especially in places where people depend so directly on their local ecosystem services to survive. Soundscapes are a powerful approach to study complex biomes undergoing change. The sounds emitted by soniferous fauna characterize the acoustic profile of the landscapes they inhabit such that habitats with the highest acoustic abundance are considered as the most diverse and possibly more ecologically resilient. However, acoustic variability within similar habitat types may pose ...


Synergistic Use Of Remote Sensing And Modeling To Assess An Anomalously High Chlorophyll-A Event During Summer 2015 In The South Central Red Sea, Wenzhao Li, Hesham el-Askary, K. P. ManiKandan, Mohamed A. Qurban, Michael J. Garay, Olga V. Kalishnikova 2017 Chapman University

Synergistic Use Of Remote Sensing And Modeling To Assess An Anomalously High Chlorophyll-A Event During Summer 2015 In The South Central Red Sea, Wenzhao Li, Hesham El-Askary, K. P. Manikandan, Mohamed A. Qurban, Michael J. Garay, Olga V. Kalishnikova

Mathematics, Physics, and Computer Science Faculty Articles and Research

An anomalously high chlorophyll-a (Chl-a) event (>2 mg/m3) during June 2015 in the South Central Red Sea (17.5° to 22°N, 37° to 42°E) was observed using Moderate Resolution Imaging Spectroradiometer (MODIS) data from the Terra and Aqua satellite platforms. This differs from the low Chl-a values (<0.5 mg/m3) usually encountered over the same region during summertime. To assess this anomaly and possible causes, we used a wide range of oceanographical and meteorological datasets, including Chl-a concentrations, sea surface temperature (SST), sea surface height (SSH), mixed layer depth (MLD), ocean current velocity and aerosol optical depth (AOD) obtained from different sensors and models. Findings confirmed this anomalous behavior in the spatial domain using Hovmöller data analysis techniques, while a time series analysis addressed monthly and daily variability. Our analysis suggests that a combination of factors controlling nutrient supply contributed to the anomalous phytoplankton growth. These factors include horizontal transfer of upwelling water through eddy circulation and possible mineral fertilization from atmospheric dust deposition. Coral reefs might have provided extra nutrient supply, yet this is out of the scope of our analysis. We thought that dust deposition from a coastal dust jet event in late June, coinciding with the phytoplankton blooms in the area under investigation, might have also contributed as shown by our AOD findings. However, a lag cross correlation showed a two- month lag between strong dust outbreak and the high Chl-a anomaly. The high Chl-a concentration at the edge of the eddy emphasizes the importance of horizontal advection in fertilizing oligotrophic (nutrient poor) Red Sea waters.


Comparisons Of Global Land Surface Seasonality And Phenology Derived From Avhrr, Modis And Viirs Data, Xiaoyang Zhang 2017 South Dakota State University

Comparisons Of Global Land Surface Seasonality And Phenology Derived From Avhrr, Modis And Viirs Data, Xiaoyang Zhang

Comparisons of Global Land Surface Seasonality and Phenology Derived from AVHRR, MODIS and VIIRS data

The data set in this collection is for the paper Comparisons of Global Land Surface Seasonality and Phenology Derived from AVHRR, MODIS and VIIRS Data which will be published in the "Journal of Geophysical Research: Biogeosciences."


An Operational Drought Prediction Framework With Application Of Vine Copula Functions, Mahkameh Zarekarizi 2017 Portland State University

An Operational Drought Prediction Framework With Application Of Vine Copula Functions, Mahkameh Zarekarizi

Student Research Symposium

Early and accurate drought predictions can benefit water resources and emergency managers by enhancing drought preparedness. Soil moisture memory is shown to contain helpful information for prediction of future values. This study uses the soil moisture memory to predict their future states via multivariate statistical modeling. We present a drought forecasting framework which issues monthly and seasonal drought forecasts. This framework estimates droughts with different lead times and updates the forecasts when more data become available. Forecasts are generated by conditioning future soil moisture values on antecedent drought status. The statistical model is initialized by soil moisture simulations retrieved from ...


Assessing Landslide Susceptibility With Gis Using Qualitative & Quantitative Methods In Knox County, Nebraska, Christian J. Cruz 2017 University of Nebraska-Lincoln

Assessing Landslide Susceptibility With Gis Using Qualitative & Quantitative Methods In Knox County, Nebraska, Christian J. Cruz

Theses and Dissertations in Geography

This thesis assesses landslide susceptibility using data from LiDAR DEMs, land cover, and soil surveys. Data were assessed quantitatively through Bayesian logistic regression within a geographic information system (GIS) and statistical software to produce a landslide susceptibility map. The study area exhibits moderate relief where bluffs along the Missouri River valley gradually recede into rolling loess-mantled hills further to the south and southeast in Knox County. The six factors used to determine susceptibility to landslides are: land cover, parent material, slope aspect, slope curvature slope degree, and soil series. My findings show an increase in slope is the most significant ...


Sensors Everywhere: Using Satellites And Mobile Phones To Reduce Information Uncertainty In Human Rights Crisis Research, Christoph Koettl 2017 Amnesty International

Sensors Everywhere: Using Satellites And Mobile Phones To Reduce Information Uncertainty In Human Rights Crisis Research, Christoph Koettl

Genocide Studies and Prevention: An International Journal

This article critically reviews the use of ICTs for human rights crisis research. While focusing on two specific technologies—satellite imagery and mobile phone technology—it proposes a general framework for analyzing the added value of ICTs. The author suggests that their added value in mass atrocities research arises from their ability to reduce information uncertainty, a challenge that is exacerbated in the digital age. This is different from delivering “truth”, an inaccurate description that only leads to unfulfilled expectations and hopes. The article is written from a practitioner’s perspective, drawing from the work of a global human rights ...


Sentinel-1 Slc Processing: Summer Internship With Clark Labs, Lei Tang 2017 Clark University

Sentinel-1 Slc Processing: Summer Internship With Clark Labs, Lei Tang

International Development, Community and Environment (IDCE)

My summer internship with Clark Labs was mainly focused on technological and methodological exploration of Sentinel-1 SLC data, under the direct supervision of James Toledano. The main responsibilities of my internship were understanding theory and science behind Sentinel-1, utilizing the SNAP toolbox to determine the proper imagery processing steps in order to distinguish the land structure clearly. 36 testing on different combination of acquisition modes, speckle filters and time gap were conducted during that time.

I would highly recommend this internship to other GISDE students. The dynamic nature of the GISDE program provides students with the opportunity to be able ...


Remote Sensing Insights Into Storage Capacities Among Plains Village Horticulturalists, Adam Wiewel 2017 University of Arkansas, Fayetteville

Remote Sensing Insights Into Storage Capacities Among Plains Village Horticulturalists, Adam Wiewel

Theses and Dissertations

Maize was a fundamental component of the diet and economy of Middle Missouri Plains Village groups, sedentary farmers with settlements along the Missouri River during the last millennia. More than a century of study has contributed to our understanding of agricultural production among these peoples, but little effort has been made to consider temporal variation in production. Such an understanding is crucial to examining changes that occurred before and after the arrival of colonists and their trade goods in the seventeenth century. Plains archaeologists have suggested that the storage capacity of Middle Missouri villages increased during the sixteenth through the ...


Development Of A Multiband Remote Sensing System For Determination Of Unsaturated Soil Properties, Cyrus D. Garner 2017 University of Arkansas, Fayetteville

Development Of A Multiband Remote Sensing System For Determination Of Unsaturated Soil Properties, Cyrus D. Garner

Theses and Dissertations

A multiband system including active microwave sensing and visible-near infrared reflectance spectroscopy was developed to measure unsaturated soil properties in both field and laboratory environments. Remote measurements of soil volumetric water content (θv), soil water matric potential (ψ), and soil index properties (liquid limit [LL], plastic limit [PL], and clay fraction [CF]) were conducted. Field-based measurement of θv was conducted using a ground-based radar system and field measurements within 10 percentage points of measurements acquired with traditional sampling techniques were obtained. Laboratory-based, visible and near infrared spectroscopy was found to be capable of obtaining empirical, soil specific regression functions (partial ...


Forest Inventory Data, Izaya Numata, Mark Cochrane, Jeppe Kjaersgaard, Sonaira Souza da Silva 2017 South Dakota State University

Forest Inventory Data, Izaya Numata, Mark Cochrane, Jeppe Kjaersgaard, Sonaira Souza Da Silva

Drought in Amazonia Data Sets

Forest inventory was conducted in Acre, the southwestern Amazon, in July-August in 2014. Field data was collected in four fragmented forest areas. In addition, this forest inventory includes data in forest areas burned in 2005 and 2010 and unburned forest areas. Forest inventory includes information on vegetation species and stem diameter at breast height (DBH) at each plot of 25m x 25m. All trees with DBH ≥ 10cm were measured at 25m x 25m plots and those with DBH< 10cm and lianas were measured at 10m x 10m and 5m x 5m subplots within each 25m x 25m plot.


P10. Road Cracking Area Percentage Evaluation Using Airborne Hyperspectral Imagery, Boyu Feng 2017 Western University

P10. Road Cracking Area Percentage Evaluation Using Airborne Hyperspectral Imagery, Boyu Feng

Western Research Forum

Background:

Although the airborne platform is efficient and economic compared to the popular ground vehicles in road condition survey (RCS), studies on applying it in RCS are limited. A former study on airborne hyperspectral imagery (AHI) tried to tie a band ratio to pavement condition index. Its result proved the value in AHI, yet pointed out the difficulty in quantitative evaluation.

Methods:

This study further explored the application of AHI in RCS, and fully took advantage of the entire spectrum shape, rather than a ratio. Aiming at the cracking area percentage (CAP) on the asphalt paved arterial road system in ...


Precipitation Intensity Trend Detection Using Hourly And Daily Observations In Portland, Oregon, Alexis Cooley, Heejun Chang 2017 Portland State University

Precipitation Intensity Trend Detection Using Hourly And Daily Observations In Portland, Oregon, Alexis Cooley, Heejun Chang

Geography Faculty Publications and Presentations

The intensity of precipitation is expected to increase in response to climate change, but the regions where this may occur are unclear. The lack of certainty from climate models warrants an examination of trends in observational records. However, the temporal resolution of records may affect the success of trend detection. Daily observations are often used, but may be too coarse to detect changes. Sub-daily records may improve detection, but their value is not yet quantified. Using daily and hourly records from 24 rain gages in Portland, Oregon (OR), trends in precipitation intensity and volume are examined for the period of ...


Remote Sensing Of World War Ii Era Unexploded Bombs Using Object-Based Image Analysis And Multi-Temporal Datasets: A Case Study Of The Fort Myers Bombing And Gunnery Range, Bryan Byholm 2017 Minnesota State University, Mankato

Remote Sensing Of World War Ii Era Unexploded Bombs Using Object-Based Image Analysis And Multi-Temporal Datasets: A Case Study Of The Fort Myers Bombing And Gunnery Range, Bryan Byholm

All Theses, Dissertations, and Other Capstone Projects

During World War II, United States Army and Navy pilots trained on several hundred bombing ranges encompassing more than 12 million acres of land, leaving behind crater-scarred landscapes across the country. Post-war estimates suggest that 10-15% of aerial bombs used failed to detonate as intended, so these areas today are contaminated by a large number of dangerous unexploded bombs (UXB) which remain under the surface. Until recently, detecting UXB has been a tedious and expensive process done in three stages: (1) identifying and mapping general areas of concentrated bomb craters using historical air photos and records; (2) intensely searching these ...


Examination Of The Potential Of Structure-From-Motion Photogrammetry And Terrestrial Laser Scanning For Rapid Nondestructive Field Measurement Of Grass Biomass, Sam D. Cooper 2017 South Dakota State University

Examination Of The Potential Of Structure-From-Motion Photogrammetry And Terrestrial Laser Scanning For Rapid Nondestructive Field Measurement Of Grass Biomass, Sam D. Cooper

Theses and Dissertations

Above ground biomass (AGB) is a parameter commonly used for assessment of grassland systems. While destructive sampling of AGB is highly accurate, it is time consuming and often precludes repeat temporal sampling or sampling in sensitive ecosystems. Consequently, a number of nondestructive techniques that relate grass structural properties to AGB have been developed. This study investigated the application of two recent technologies, Terrestrial Laser Scanning (TLS) and Structurefrom- Motion (SfM), in the development of rapid nondestructive AGB estimation of grassland plots. TLS and SfM volume metrics generated using a rasterized surface differencing method were linearly related to destructively measured total ...


Distinguishing Land Change From Natural Variability And Uncertainty In Central Mexico With Modis Evi, Trmm Precipitation, And Modis Lst Data, Zachary Christman, John Rogan, J. Ronald Eastman, B. L. Turner II 2016 Rowan University

Distinguishing Land Change From Natural Variability And Uncertainty In Central Mexico With Modis Evi, Trmm Precipitation, And Modis Lst Data, Zachary Christman, John Rogan, J. Ronald Eastman, B. L. Turner Ii

Zachary Christman

Precipitation and temperature enact variable influences on vegetation, impacting the type and condition of land cover, as well as the assessment of change over broad landscapes. Separating the influence of vegetative variability independent and discrete land cover change remains a major challenge to landscape change assessments. The heterogeneous Lerma-Chapala-Santiago watershed of central Mexico exemplifies both natural and anthropogenic forces enacting variability and change on the landscape. This study employed a time series of Enhanced Vegetation Index (EVI) composites from the Moderate Resolution Imaging Spectoradiometer (MODIS) for 2001–2007 and per-pixel multiple linear regressions in order to model changes in EVI ...


Drainage Basin Morphology And Terrain Analysis Of The Nigerian Section Of Lake Chad River Basin, Nigeria Using Gis And Remote Sensing, Abiodun O. Adebola, Adebowale A. Adeseko, Matthew O. Ibitoye 2016 Federal University of Technology, Akure

Drainage Basin Morphology And Terrain Analysis Of The Nigerian Section Of Lake Chad River Basin, Nigeria Using Gis And Remote Sensing, Abiodun O. Adebola, Adebowale A. Adeseko, Matthew O. Ibitoye

Confluence Journal of Environmental Studies (CJES), Kogi State University, Nigeria

The study aims to assess the effectiveness of Remote Sensing and Geographic information systems (GIS) in the mapping and morphological analysis of sub-basins in the Lake Chad Basin. This study evaluated morphometry parameters and terrain characteristics such as aspect, slope, channel networks, drainage density, stream orders, flow direction and accumulation of Lake Chad River Basin using GIS-based techniques. The morphological parameters of the sub-basins have been determined based on Strahler’s and Horton’s methods of stream ordering. The Shuttle radar topography mission (SRTM) data and ArcGIS 10.1 software were utilized for the analysis. The result established that the ...


Using Gis To Detect Land Use Changes In The Salinas River Valley From 2001 And 2011, Brian Strukan 2016 California State University, Monterey Bay

Using Gis To Detect Land Use Changes In The Salinas River Valley From 2001 And 2011, Brian Strukan

Capstone Projects and Theses

The use of a Geographic Information System (GIS) to explore, analyze, and interpret our environment is a relatively new technology with exciting new advances emerging each day. GIS can be used along with satellite imagery to detect changes on Earth’s surface (Delavar, 2015). With the human population growing rapidly, it has become very important to monitor when, where, and how we are changing the planet. Using the theory of land economics, coupled with land classification maps from 2001 and 2011, I will explain how cities are changing in the Salinas River Valley, a prime agricultural zone in central California ...


Aiddata Gis International Fellowship: Ghana West-Africa, Jason N. Ready 2016 GISDE

Aiddata Gis International Fellowship: Ghana West-Africa, Jason N. Ready

International Development, Community and Environment (IDCE)

My internship, or fellowship as it was commonly referred to, was funded by a non-profit organization out of Williamsburg Virginia called AidData. This fellowship took place in in the country of Ghana, West-Africa beginning in May of 2016 and continued for 14 weeks with 40 hours each week. The objective of this internship was to provide in-depth training on the use of geographic Information Systems to Private and Public sectors within the country to allow for increased efficiency, and transparency through data visualization. In accordance with the requirement of Clark Universities GISDE master’s program this paper will delve into ...


Gogeomatics And Its New London Ontario Group, Chunhua Liao, Hongyu Zhang, Peter Crawford 2016 The University of Western Ontario

Gogeomatics And Its New London Ontario Group, Chunhua Liao, Hongyu Zhang, Peter Crawford

GIS Day

GoGeomatics Canada is an online career network for the Canadian geomatics community. Founded in 2005, the website provides job postings, events listings, magazine articles and newsletter services for geomatics professionals. Informal and free monthly networking events at pubs across Canada are happening in more than ten regions including Ottawa, Toronto, Niagara, Calgary, Vancouver, and Edmonton. In October 2016, a new GoGeomatics London chapter was founded by a group of graduate students from the Department of Geography at Western University to bring social and career development events to the local geospatial community. The first event was held on Oct. 25 at ...


Land Surface Phenologies And Seasonalities Using Cool Earthlight In Mid-Latitude Croplands, W. G. Alemu, G. M. Henebry 2016 South Dakota State University

Land Surface Phenologies And Seasonalities Using Cool Earthlight In Mid-Latitude Croplands, W. G. Alemu, G. M. Henebry

Geoffrey Henebry

Phenology deals with timing of biotic phenomena and seasonality concerns temporal patterns of abiotic variables. Studies of land surface phenology (LSP) and land surface seasonality (LSS) have long been limited to visible to near infrared (VNIR) wavelengths, despite degradation by atmospheric effects and solar illumination constraints. Enhanced land surface parameters derived from passive microwave data enable improved temporal monitoring of agricultural land surface dynamics compared to the vegetation index data available from VNIR data. LSPs and LSSs in grain growing regions of the Volga River Basin of Russia and the spring wheat belts of the USA and Canada were characterized ...


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