Optimum Object Analysis Of Islands Activities On South China Sea By Dnb On Viirs, 2017 Tokyo University of Information Sciences
Optimum Object Analysis Of Islands Activities On South China Sea By Dnb On Viirs, Ichio Asanuma, Takashi Yamaguchi, Jong-Geol Park, Keneth J. Mackin
Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings
A data processing and analyzing system was designed and made operational with free software to process the big data over the South China Sea (SCS), which are provided by the Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi National Polar-orbiting Partnership (Suomi-NPP) to monitor the light distributions in the night. The VIIRS data are processed from the raw data (level-0) to geophysical data (level-3) using the International Polar Orbiter Processing Package (IPOPP), which are freely available from NASA. The Day Night Band (DNB) of VIIRS is extracted from the level-3 data and is geospatially projected for our region of ...
Exploring The Relationship Between Climate And Forest Conditions In Forest Classee De La Mondah (Gabon) Using Remote Sensing Data, 2017 Tokyo University of Information Sciences
Exploring The Relationship Between Climate And Forest Conditions In Forest Classee De La Mondah (Gabon) Using Remote Sensing Data, Mariano Mboumba
Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings
This study aims to examine the relationship between temperature and precipitation as climatic factors and the vegetation characteristics in Forêt Classée de la Mondah (Gabon). A pixel based spatial analysis procedure with QGIS was used to extract vegetation characteristics from MODIS on Terra, NDVI band, data from February 2000 to December 2015, while temperature and precipitation were monitored from January 1980 to December 2015 to highlight climate fluctuations in the study area. Two regression analyses were conducted : one between temperature and NDVI and the other one between precipitation and NDVI. Results showed that temperature and precipitation did not vary significantly ...
Landsat Sentinel Registration Source Codes: Linux, 2017 South Dakota State University
Landsat Sentinel Registration Source Codes: Linux, Lin Yan, David P. Roy
Landsat Sentinel Registration Source Codes
- SSReg is open-source software (coded in C) for precise automatic registration of two Sentinel-2 L1C acquisitions including all 10 m, 20 m and 60 m bands.
- Version 1.1 is a Linux version and includes source codes, manual and test data.
- Major functionalities of the software:
- Image registration supporting translation, affine and 2nd order polynomial transformations.
- Classic implementation of least-squares matching (LSM) with up to 0.02 pixel matching accuracy on medium-spatial-resolution optical-wavelength remote sensing images, including Landsat and Sentinel 2.
- Implementation of the LSM-based depth-first mismatch detection.
- The development and release of this open-source software is funded by ...
Examination Of Sentinel-2a Multi-Spectral Instrument (Msi) Reflectance Anisotropy And The Suitability Of A General Method To Normalize Msi Reflectance To Nadir Brdf Adjusted Reflectance, 2017 South Dakota State University
Examination Of Sentinel-2a Multi-Spectral Instrument (Msi) Reflectance Anisotropy And The Suitability Of A General Method To Normalize Msi Reflectance To Nadir Brdf Adjusted Reflectance, David P. Roy, Jian Li, Hankui Zhang, Lin Yan Dr., Haiyan Huang, Zhongbin Li
GSCE Faculty Publications
The Sentinel-2A multi-spectral instrument (MSI) acquires multi-spectral reflective wavelength observations with directional effects due to surface reflectance anisotropy and changes in the solar and viewing geometry. Directional effects were examined by considering two ten day periods of Sentinel-2A data acquired close to the solar principal and orthogonal planes over approximately 20° × 10° of southern Africa. More than 6.6 million (January 2016) and 10.6 million (April 2016) pairs of reflectance observations sensed 3 or 7 days apart in the forward and backscatter directions in overlapping Sentinel-2A orbit swaths were considered. The Sentinel-2A data were projected into the MODIS sinusoidal ...
Acoustic Signatures Of Habitat Types In The Miombo Woodlands Of Western Tanzania, 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 ...
Uas As An Inventory Tool: A Photogrammetric Approach To Volume Estimation, 2017 University of Arkansas, Fayetteville
Uas As An Inventory Tool: A Photogrammetric Approach To Volume Estimation, Richard Kramer Rhodes
Theses and Dissertations
Unmanned aircraft systems (UAS), also referred to as unmanned aerial vehicles (UAV) or remotely piloted vehicles (RPV), are associated with unmanned aircraft either controlled by a pilot on the ground or pre-programmed with specific flight paths. Small UASs have seen a massive increase in public interest in recent years as hobbyist platforms; they are, however, a potentially powerful tool in remote sensing and geospatial applications. Due to the increased availability of low-cost UAS, this technology could soon revolutionize many industries, including those that require volumetric estimation. Traditionally volumetric inventories have been performed with tape measurements, and in some instances where ...
Using The 500 M Modis Land Cover Product To Derive A Consistent Continental Scale 30 M Landsat Land Cover Classification, 2017 South Dakota State University
Using The 500 M Modis Land Cover Product To Derive A Consistent Continental Scale 30 M Landsat Land Cover Classification, Hankui Zhang, David P. Roy
GSCE Faculty Publications
Classification is a fundamental process in remote sensing used to relate pixel values to land cover classes present on the surface. Over large areas land cover classification is challenging particularly due to the cost and difficulty of collecting representative training data that enable classifiers to be consistent and locally reliable. A novel methodology to classify large volume Landsat data using high quality training data derived from the 500 m MODIS land cover product is demonstrated and used to generate a 30 m land cover classification for all of North America between 20°N and 50°N. Publically available 30 m ...
A Global Analysis Of Sentinel-2a, Sentinel-2b And Landsat-8 Data Revisit Intervals And Implications For Terrestrial Monitoring, 2017 South Dakota State University
A Global Analysis Of Sentinel-2a, Sentinel-2b And Landsat-8 Data Revisit Intervals And Implications For Terrestrial Monitoring, Jian Li, David P. Roy
GSCE Faculty Publications
Combination of different satellite data will provide increased opportunities for more frequent cloud-free surface observations due to variable cloud cover at the different satellite overpass times and dates. Satellite data from the polar-orbiting Landsat-8 (launched 2013), Sentinel-2A (launched 2015) and Sentinel-2B (launched 2017) sensors offer 10 m to 30 m multi-spectral global coverage. Together, they advance the virtual constellation paradigm for mid-resolution land imaging. In this study, a global analysis of Landsat-8, Sentinel-2A and Sentinel-2B metadata obtained from the committee on Earth Observation Satellite (CEOS) Visualization Environment (COVE) tool for 2016 is presented. A global equal area projection grid defined ...
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.
High Resolution Spectra Of Carbon Monoxide, Propane And Ammonia For Atmospheric Remote Sensing, 2017 Old Dominion University
High Resolution Spectra Of Carbon Monoxide, Propane And Ammonia For Atmospheric Remote Sensing, Christopher Andrew Beale
OEAS Theses and Dissertations
Spectroscopy is a critical tool for analyzing atmospheric data. Identification of atmospheric parameters such as temperature, pressure and the existence and concentrations of constituent gases via remote sensing techniques are only possible with spectroscopic data. These form the basis of model atmospheres which may be compared to observations to determine such parameters. To this end, this dissertation explores the spectroscopy of three molecules: ammonia, propane and carbon monoxide.
Infrared spectra have been recorded for ammonia in the region 2400-9000 cm-1. These spectra were recorded at elevated temperatures (from 293-973 K) using a Fourier Transform Spectrometer (FTS). Comparison between the ...
Landsat 15-M Panchromatic-Assisted Downscaling (Lpad) Of The 30-M Reflective Wavelength Bands To Sentinel-2 20-M Resolution, 2017 South Dakota State University
Landsat 15-M Panchromatic-Assisted Downscaling (Lpad) Of The 30-M Reflective Wavelength Bands To Sentinel-2 20-M Resolution, Zhongbin Li, Hankui K. Zhang, David P. Roy, Lin Yan, Haiyan Huang, Jian Li
GSCE Faculty Publications
The Landsat 15-m Panchromatic-Assisted Downscaling (LPAD) method to downscale Landsat-8 Operational Land Imager (OLI) 30-m data to Sentinel-2 multi-spectral instrument (MSI) 20-m resolution is presented. The method first downscales the Landsat-8 30-m OLI bands to 15-m using the spatial detail provided by the Landsat-8 15-m panchromatic band and then reprojects and resamples the downscaled 15-m data into registration with Sentinel-2A 20-m data. The LPAD method is demonstrated using pairs of contemporaneous Landsat-8 OLI and Sentinel-2A MSI images sensed less than 19 min apart over diverse geographic environments. The LPAD method is shown to introduce less spectral and spatial distortion and ...
Comparisons Of Global Land Surface Seasonality And Phenology Derived From Avhrr, Modis And Viirs Data, 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, 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 ...
A Catch 22 Of 3d Data Sustainability: Lessons In 3d Archaeological Data Management & Accessibility, 2017 University of Nebraska-Lincoln
A Catch 22 Of 3d Data Sustainability: Lessons In 3d Archaeological Data Management & Accessibility, Heather Richards-Rissetto, Jennifer Von Schwerin
Anthropology Faculty Publications
Archaeologists can now collect an inordinate amount of 3D data. But are these 3D data sustainable? Are they being managed to make them accessible? The MayaArch3D Project researched and addressed these questions by applying best practices to build four prototype tools to store, manage, visualize, and analyze multi-resolution, geo-referenced 3D models in a web-based environment. While the technical aspects of these tools have been published, this position paper addresses a catch 22 that we, as archaeologists, encounter in the field of 3D archaeology – one that formed the initial impetus for the MayaArch3D Project: that is, while the quantity of 3D ...
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 ...
The Role Of Sulfur Dioxide In Stratospheric Aerosol Formation Evaluated By Using In Situ Measurements In The Tropical Lower Stratosphere, A. W. Rollins, T. D. Thornberry, L. A. Watts, P. Yu, K. H. Rosenlof, M. Mills, E. Baumann, F. R. Giorgetta, T. V. Bui, M. Höpfner, P. F. Bernath
Chemistry & Biochemistry Faculty Publications
Stratospheric aerosols (SAs) are a variable component of the Earth's albedo that may be intentionally enhanced in the future to offset greenhouse gases (geoengineering). The role of tropospheric-sourced sulfur dioxide (SO2) in maintaining background SAs has been debated for decades without in situ measurements of SO2 at the tropical tropopause to inform this issue. Here we clarify the role of SO2 in maintaining SAs by using new in situ SO2 measurements to evaluate climate models and satellite retrievals. We then use the observed tropical tropopause SO2 mixing ratios to estimate the global flux of ...
Sentinel-1 Slc Processing: Summer Internship With Clark Labs, 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 ...
Development Of A Multiband Remote Sensing System For Determination Of Unsaturated Soil Properties, 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 ...
Remote Sensing Insights Into Storage Capacities Among Plains Village Horticulturalists, 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 ...
Assessing Landslide Susceptibility With Gis Using Qualitative & Quantitative Methods In Knox County, Nebraska, 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 ...