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Learner Requirements And Geospatial Literacy Challenges For Making Meaning With Google Earth, Lynn A. Moorman, Susan Crichton 2018 Mount Royal University

Learner Requirements And Geospatial Literacy Challenges For Making Meaning With Google Earth, Lynn A. Moorman, Susan Crichton

International Journal of Geospatial and Environmental Research

This research contributes an educational research perspective to teaching and learning with geospatial technologies. This work considers the literacy of a geospatial text that is readily accessible to students, but often assumed to be intuitive to read– dynamic scalable satellite imagery, which often serves as base maps for common navigation, GIS, and virtual globe applications. Within the context of a STEM project, Grades 5 and 6 students were observed and interviewed to identify knowledge and skills that were required to make meaning of Google Earth imagery. A qualitative methodological approach incorporating a thinkaloud data collection protocol was followed to stay ...


Grassland Recognition With The Usage Of Thermal Weights, Alen Mangafić, Nika Mesner, Mihaela Triglav Čekada 2018 Geodetic Institute of Slovenia

Grassland Recognition With The Usage Of Thermal Weights, Alen Mangafić, Nika Mesner, Mihaela Triglav Čekada

Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings

In this paper we apply the usage of thermal weights, a new variable for geostatistical analysis and we present the method for their determination. In the case study we tested a data fusion between Sentinel-2 and Landsat 7/8 data, to incorporate also the thermal factor in the detection of land cover changes. The process distinguishes grasslands from other crops with similar vegetative appearance and offers us the possibility to create a new statistical sample with just grasslands. The data fusion is incorporated in the calculation of Land Surface Temperature (LSTFU) by combining the Sentinel-2 derived Normalized Difference Vegetation ...


Robust Railroad Cable Detection In Rural Areas From Mls Point Clouds, Máté Cserép, Péter Hudoba, Zoltán Vincellér 2018 Eötvös Loránd University, Hungary

Robust Railroad Cable Detection In Rural Areas From Mls Point Clouds, Máté Cserép, Péter Hudoba, Zoltán Vincellér

Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings

Monitoring of the railroad infrastructure is crucial for safety concerns and accident prevention. This task requires regular surveillance which is nowadays still carried out by expensive and time consuming manual visual inspections in many countries. The problem of railroad cable recognition (contact cables, catenary cables, return current cables) in rural areas based on LiDAR point clouds has it own methods, but current state of the art solutions suffer from extremely high computational load due the extensive size of the datasets. In this study we analyzed and compared novel robust solutions focusing on minimizing the assumptions (positions and distances of track ...


Drone Photography Vs. Light Detection And Ranging (Lidar) Data - Which Source Is Best Utilized In 3-Dimensional Modeling Applications?, Austin Valentine 2018 Murray State University

Drone Photography Vs. Light Detection And Ranging (Lidar) Data - Which Source Is Best Utilized In 3-Dimensional Modeling Applications?, Austin Valentine

Student Scholarship & Creative Works

Drone Photography vs. Light Detection and Ranging (LiDAR) Data — Which Source is Best Utilized in 3-Dimensional Modeling Applications? is an evaluation essay comparing the analysis and modeling of both drone photography and LiDAR data. This paper gives a brief introduction into my choice of utilization between these two techniques, both of which were applied to 3-dimensional modeling of the Kincaid Mounds Archaeological site in southern Illinois. Thus, illustrating some of the advantages and disadvantages associated with both methods.


Large Scale Climate Oscillation Impacts On Temperature, Precipitation And Land Surface Phenology In Central Asia, Kirsten M. de Beurs, Geoffrey Henebry, Braden C. Owsley, Irina N. Sokolik 2018 University of Oklahoma

Large Scale Climate Oscillation Impacts On Temperature, Precipitation And Land Surface Phenology In Central Asia, Kirsten M. De Beurs, Geoffrey Henebry, Braden C. Owsley, Irina N. Sokolik

GSCE Faculty Publications

Central Asia has been rapidly changing in multiple ways over the past few decades. Increases in temperature and likely decreases in precipitation in Central Asia as the result of global climate change are making one of the most arid regions in the world even more susceptible to large-scale droughts. Global climate oscillations, such as the El Ni ̃no–Southern Oscillation, have previously been linked to observed weather patterns in Central Asia. However, until now it has been unclear how the different climate oscillations act simultaneously to affect the weather and subsequently the vegetated land surface in Central Asia.We fit ...


Aerosol And Meteorological Parameters Associated With The Intense Dust Event Of 15 April 2015 Over Beijing, China, Sheng Zheng, Ramesh P. Singh 2018 Zhejiang University

Aerosol And Meteorological Parameters Associated With The Intense Dust Event Of 15 April 2015 Over Beijing, China, Sheng Zheng, Ramesh P. Singh

Mathematics, Physics, and Computer Science Faculty Articles and Research

The northeastern parts of China, including Beijing city, the capital of China, were hit by an intense dust storm on 15 April 2015. The present paper discusses aerosol and meteorological parameters associated with this dust storm event. The back trajectory clearly shows that the dust originated from Inner Mongolia, the border of China, and Mongolia regions. Pronounced changes in aerosol and meteorological parameters along the dust track were observed. High aerosol optical depth (AOD) with low Ångström exponent (AE) are characteristics of coarse-mode dominated dust particles in the wavelength range 440–870 nm during the dusty day. During dust storm ...


Changing Snow Seasonality In The Highlands Of Kyrgyzstan, Monika Tomaszewska, Geoffrey Henebry 2018 South Dakota State University

Changing Snow Seasonality In The Highlands Of Kyrgyzstan, Monika Tomaszewska, Geoffrey Henebry

GSCE Faculty Publications

Few studies have examined changing snow seasonality in Central Asia. Here, we analyzed changes in the seasonality of snow cover across Kyrgyzstan (KGZ) over 14 years from 2002/03–2015/16 using the most recent version (v006) of MODIS Terra and Aqua 8 day snow cover composites (MOD10A2/MYD10A2). We focused on three metrics of snow seasonality—first date of snow, last date of snow, and duration of snow season—and used nonparametric trends tests to assess the significance and direction of trends. We evaluated trends at three administration scales and across elevation. We used two techniques to assure that ...


Samsts Satellite Time Series Gap Filling Source Codes - Landsat, Lin Yan, David P. Roy 2018 South Dakota State University

Samsts Satellite Time Series Gap Filling Source Codes - Landsat, Lin Yan, David P. Roy

SAMSTS Satellite Time Series Gap Filling Source Codes

  • SAMSTS is open-source software (coded in C) for gap filling of Landsat multispectral time series developed by Drs. Lin Yan and David Roy.
  • SAMSTS 1.0 release includes source codes, user manual and test data.
  • The test data are year-2013 time series of Landsat 7 ETM+ and Landsat 8 OLI ARD surface reflectance products (http://landsat.usgs.gov/ard) over Kansas and Iowa. Each ARD tile is composed of 5000 x 5000 30m pixels with six bands (blue, red, green, NIR, SWIR 1, SWIR 2).
  • Major Software functionality:
    • Automatic gap filling of Landsat multispectral time series caused by clouds, shadows ...


An Assessment Of Atmospheric And Meteorological Factors Regulating Red Sea Phytoplankton Growth, Wenzhao Li, Hesham el-Askary, Mohamed A. Qurban, Emmanouil Proestakis, Michael J. Garay, Olga V. Kalishnikova, Vassilis Amiridis, Antonis Gkikas, Eleni Marinou, Thomas Piechota, K. P. Manikandan 2018 Chapman University

An Assessment Of Atmospheric And Meteorological Factors Regulating Red Sea Phytoplankton Growth, Wenzhao Li, Hesham El-Askary, Mohamed A. Qurban, Emmanouil Proestakis, Michael J. Garay, Olga V. Kalishnikova, Vassilis Amiridis, Antonis Gkikas, Eleni Marinou, Thomas Piechota, K. P. Manikandan

Mathematics, Physics, and Computer Science Faculty Articles and Research

This study considers the various factors that regulate nutrients supply in the Red Sea. Multi-sensor observation and reanalysis datasets are used to examine the relationships among dust deposition, sea surface temperature (SST), and wind speed, as they may contribute to anomalous phytoplankton blooms, through time-series and correlation analyses. A positive correlation was found at 0–3 months lag between chlorophyll-a (Chl-a) anomalies and dust anomalies over the Red Sea regions. Dust deposition process was further examined with dust aerosols’ vertical distribution using satellite lidar data. Conversely, a negative correlation was found at 0–3 months lag between SST ...


Assessing Land Deformation And Sea Encroachment In The Nile Delta, Egypt, Esayas Gebremichael 2018 Western Michigan University

Assessing Land Deformation And Sea Encroachment In The Nile Delta, Egypt, Esayas Gebremichael

Research and Creative Activities Poster Day

Persistent scatterer interferometric analyses were conducted on a stack of 84 Envisat ASAR scenes spanning 7 years (2004 to 2010) over the entire Nile Delta of Egypt and surroundings to monitor the ongoing spatial and temporal land deformation, identify the factors controlling the deformation, and model the interplay between sea level rise and land subsidence to identify areas and populations threatened by sea encroachment by the end of the 21st century. Findings include: (1) general patterns of subsidence in the northern delta, near-steady (none) subsidence in the southern delta, separated by a previously mapped flexure zone undergoing uplift; (2) high ...


Landsat Sentinel Registration Source Codes: Linux, Lin Yan, David P. Roy 2018 South Dakota State University

Landsat Sentinel Registration Source Codes: Linux, Lin Yan, David P. Roy

Landsat Sentinel Registration Source Codes

  • LSReg is open-source software (coded in C) for precise automatic registration of Landsat-8 (L8) Collection-1 and Sentinel-2 (S2) Level 1C products, including L8<->S2, S2<->S2 and L8<->L8.
  • Version 2.0 is a Linux version. The main download includes the source codes and manual.The “Additional Files” include the test data and the outputs generated from the test data by LSReg 2.0.
  • Major functionalities of the software:
    • Flexibility in handling input/output images resolutions and spatial coverages.
    • Image registration supporting translation, affine and 2nd order polynomial transformations.
    • Classic implementation of least-squares matching (LSM) with up to 0 ...


Foss4g 2016 Proceedings: Academic Program - Selected Papers And Posters, Franz-Josef Behr 2018 Stuttgart University of Applied Sciences

Foss4g 2016 Proceedings: Academic Program - Selected Papers And Posters, Franz-Josef Behr

Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings

This Conference Proceedings is a collection of selected papers and posters submitted to the Academic Program of the International Conference for Free and Open Source Software for Geospatial (FOSS4G 2016), 24th to 26th August 2016 in Bonn, Germany.

Like in previous FOSS4G conferences on national and international level the academic papers and posters cover an extensive wide range of topics reflecting the contribution of the academia to this field by the development of open source software components, in the design of open standards, in the proliferation of web-based solutions, in the dissemination of the open principles important in science and ...


Volume Introduction Letter, Franz-Josef Behr 2018 Stuttgart University of Applied Sciences

Volume Introduction Letter, Franz-Josef Behr

Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings

This Conference Proceedings is a collection of selected papers and posters submitted to the Academic Program of the International Conference for Free and Open Source Software for Geospatial (FOSS4G 2016), 24th to 26th August 2016 in Bonn, Germany. Again geospatial open source software was the focus of a well-attended international conference flanked by presentations on open standards and the open data movement, a meeting place for open communities.


Investigation Of The Fire Radiative Energy Biomass Combustion Coefficient - A Comparison Of Polar And Geostationary Satellite Retrievals Over The Conterminous United States, Fangjun Li, Xiaoyang Zhang 2018 South Dakota State University

Investigation Of The Fire Radiative Energy Biomass Combustion Coefficient - A Comparison Of Polar And Geostationary Satellite Retrievals Over The Conterminous United States, Fangjun Li, Xiaoyang Zhang

Global Land Surface Season Data Sets

The data is for the article "Investigation of the Fire Radiative Energy Biomass Combustion Coefficient - A Comparison of Polar and Geostationary Satellite Retrievals Over the Conterminous United States", which has been submitted to the Journal of Geophysical Research: Biogeosciences.

The data file contains a total of 20 files in 10 folders that are associated to the figures and tables in the article. General instruction for viewing output data for the paper can be found in the "Readme" text file.


Modelling Concrete And Abstract Geoprocessing Workflows With Ilwis 4, Rob Lemmens 2018 Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Netherlands

Modelling Concrete And Abstract Geoprocessing Workflows With Ilwis 4, Rob Lemmens

Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings

A workflow represents a combination of process steps to be handled by computers or humans. Geoprocessing workflows consist of geodata (satellite images, in-situ sensor data, human sensor data) and the operations needed for their storage, analysis and presentation. In this research we develop methods for creating and sharing geo-workflows between humans and computers to support knowledge sharing and system interoperability.


From Global Observations To Local Information: The Earth Observation Monitor, Jonas Eberle 2018 Department for Earth Observation, Friedrich-Schiller-University Jena

From Global Observations To Local Information: The Earth Observation Monitor, Jonas Eberle

Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings

Earth Observation (EO) data are available around the globe and can be used for a range of applications. To support scientists and local stakeholders in the usage of information from space, barriers, especially in data processing, need to be reduced. To meet this need, the software framework "Earth Observation Monitor" provides access and analysis tools for global EO vegetation time-series data based on standard-compliant geo-processing services. Data are automatically downloaded from several data providers, processed, and time-series analysis tools for vegetation analyses extract further information. A web portal and a mobile application have been developed to show the usage of ...


Identification Of Sar Detected Targets On Sea In Near Real Time Applications For Maritime Surveillance, Sergey Voinov, Egbert Schwarz, Detmar Krause, Matthias Berg 2018 German Aerospace Center (DLR) – German Remote Sensing Data Center (DFD

Identification Of Sar Detected Targets On Sea In Near Real Time Applications For Maritime Surveillance, Sergey Voinov, Egbert Schwarz, Detmar Krause, Matthias Berg

Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings

Remote sensing technologies are widely used in maritime surveillance applications. Nowadays, spaceborne Synthetic Aperture Radar (SAR) systems provide outstanding capabilities for target detection at sea for large areas independently from the weather conditions. The generated value added target detection product is composed by complementary information from the Automatic Identification System (AIS). Resulting information layers provides a more reliable picture on the maritime situation awareness. This paper describes the approach of SAR-AIS data fusion and its visualization means developed for Near Real Time (NRT) Applications for Maritime Situational Awareness by the Maritime Security Lab at the Ground Station in Neustrelitz, part ...


Impact Of Drought On Land Cover Changes In Diné Bikéyah – A Study Through Remote Sensing, Anjanette A.J. Hawk 2018 University of New Mexico - Main Campus

Impact Of Drought On Land Cover Changes In Diné Bikéyah – A Study Through Remote Sensing, Anjanette A.J. Hawk

Geography ETDs

This study identifies land cover changes associated with a ten-year drought period and discusses the importance of vegetation change in Diné Bikéyah, a semi-arid land located in a remote part of the southwestern United States (US). This study concludes that drought produced slight changes in vegetation within a 540 km2 study area in the Tselani-Cottonwood Chapter (TCC) in Diné Bikéyah. The data for this study consist of three Landsat images for the years 1998, 2002, and 2009. The methods used to analyze these Landsat images included image pre-processing, calculation of normalized difference vegetation index (NDVI) images, and supervised (maximum ...


Unmanned Aerial Systems: Research, Development, Education & Training At Embry-Riddle Aeronautical University, Michael P. Hickey 2018 Embry-Riddle Aeronautical University

Unmanned Aerial Systems: Research, Development, Education & Training At Embry-Riddle Aeronautical University, Michael P. Hickey

Publications

With technological breakthroughs in miniaturized aircraft-related components, including but not limited to communications, computer systems and sensors, state-of-the-art unmanned aerial systems (UAS) have become a reality. This fast-growing industry is anticipating and responding to a myriad of societal applications that will provide new and more cost-effective solutions that previous technologies could not, or will replace activities that involved humans in flight with associated risks.

Embry-Riddle Aeronautical University has a long history of aviation-related research and education, and is heavily engaged in UAS activities. This document provides a summary of these activities, and is divided into two parts. The first part ...


Quantifying Undisturbed (Native) Lands In Northwestern South Dakota: 2013, Pete Bauman, Benjamin Carlson, Tanner Butler, Brad Richardson 2018 South Dakota State University

Quantifying Undisturbed (Native) Lands In Northwestern South Dakota: 2013, Pete Bauman, Benjamin Carlson, Tanner Butler, Brad Richardson

Quantifying Undisturbed (Native) Lands in Northwestern South Dakota: 2013

We employed simple GIS methods primarily utilizing the South Dakota Farm Service Agency’s Common Land Unit (CLU) data layers from 2013 and the 2012 United States Department of Agriculture (USDA) National Agriculture Imagery Program (NAIP) county mosaic aerial imagery to evaluate 7,347,812 acres of land in northwestern South Dakota. The analysis area includes: Harding, Perkins, and Butte counties along with portions of Lawrence and Meade counties outside of the Black Hills Core Highlands and Plateau Ecoregions.

We utilized the FSA CLU data layer queried to show current and former cropland to identify and remove any areas with ...


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