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 ...
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 ...
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, 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 ...
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 ...
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 ...
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, 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, 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, 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, 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, 2017 Western University
P10. Road Cracking Area Percentage Evaluation Using Airborne Hyperspectral Imagery, Boyu Feng
Western Research Forum
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.
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, 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, 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 ...
Utilization Of Landsat Imagery To Assess The Impacts Of Oil And Gas Extraction On The Tazovsky Peninsula, Siberia, Nicholas B. Kline
Graduate Student Theses, Dissertations, & Professional Papers
Climatic warming of the Arctic is leading to landscape change through cascading biophysical feedbacks; development, such as oil and gas exploration and extraction, can accelerate or worsen these impacts. Due to restricted access to oil and natural gas fields, in situ environmental impact studies are only allowed in some regions. Satellite imagery analysis provides a mean for assessing impacts in areas with limited access. The Yamburg oil and gas field in western Siberia serves as a case study to assess the effects of infrastructure on an Arctic landscape.
This project quantifies the land-cover disturbance that occurred during the development and ...
Land Surface Phenologies And Seasonalities Using Cool Earthlight In Temperate And Tropical Croplands, 2017 South Dakota State University
Land Surface Phenologies And Seasonalities Using Cool Earthlight In Temperate And Tropical Croplands, Woubet Gashaw Alemu
Theses and Dissertations
In today’s world of increasing food insecurity due to more frequent and extreme events (droughts, floods), a comprehensive understanding of global cropland dynamics is critically needed. Land surface parameters derived from the passive microwave Advanced Microwave Scanning Radiometer on EOS (AMSR-E) and AMSR2 data enable monitoring of cropland dynamics and they can complement visible to near infrared (VNIR) and thermal infrared (TIR) data. Passive microwave data are less sensitive to atmospheric effects, cloud contamination, and solar illumination constraints resulting in finer temporal resolution suitable to track the temporal progression of cropland cover development compared to the VNIR data that ...