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Articles 1 - 11 of 11

Full-Text Articles in Remote Sensing

Inventory Of Western United States Glaciers- 2020, Shrinidhi Ambinakudige, Bernard Abubakari Jan 2024

Inventory Of Western United States Glaciers- 2020, Shrinidhi Ambinakudige, Bernard Abubakari

College of Arts and Sciences Publications and Scholarship

The dataset employed for delineating glacier boundaries in the Western United States comprises a compilation of original Sentinel-2 images obtained from the European Space Agency's Copernicus website. These images were instrumental in generating the glacier inventory. Additionally, the dataset includes a Python and R script specifically crafted for processing and classifying Sentinel images. The outcome of this process is represented in an ESRI shapefile, which contains an inventory of glaciers extracted from Sentinel images.


Samsts Satellite Time Series Gap Filling Source Codes - Landsat, Lin Yan, David P. Roy May 2020

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 1.1.1 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, SLC-off (for Landsat-7 …


Investigating Smoke Aerosol Emission Coefficients Using Modis Active Fire And Aerosol Products – A Case Study In The Conus And Indonesia, Xiaoman Lu, Xiaoyang Zhang, Fangjun Li, Mark Cochrane Dec 2018

Investigating Smoke Aerosol Emission Coefficients Using Modis Active Fire And Aerosol Products – A Case Study In The Conus And Indonesia, Xiaoman Lu, Xiaoyang Zhang, Fangjun Li, Mark Cochrane

Global Land Surface Season Data Sets

This data set is in relation to the paper of the same title, which has been submitted to the Journal of Geophysical Research: Biogeosciences.

Instructions for viewing the data in “Readme.txt”





African Savanna Vegetation Model, Christoffer Axelsson Jun 2018

African Savanna Vegetation Model, Christoffer Axelsson

Graduate Student Datasets and Models

The project aimed at creating a model that can simulate the effect of environmental factors on trees and grasses in an African savanna landscape. It enables simulating the growth of woody and herbaceous vegetation in an African savanna landscape, where the user can define the environmental conditions. Input to the model includes:

  • Monthly precipitation
  • Fire regime
  • Grazing pressure
  • Soil type
  • Slope
  • Attributes of the woody species, such as maximum crown size and sensitivity to light conditions, drought, and fire.


Landsat Sentinel Registration Source Codes: Linux, Lin Yan, David P. Roy Apr 2018

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 L8S2, S2S2 and L8L8.
  • 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 0.02 pixel matching accuracy on medium-spatial-resolution optical-wavelength remote …


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 Feb 2018

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.


Landsat Sentinel Registration Source Codes: Linux, Lin Yan, David P. Roy Sep 2017

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 NASA grant …


Comparisons Of Global Land Surface Seasonality And Phenology Derived From Avhrr, Modis And Viirs Data, Xiaoyang Zhang May 2017

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

Global Land Surface Season Data Sets

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."


Subset Data From The Nauru 1999 And African Monsoon Multidisciplinary Analysis (Amma) 2006 Cruise And Matlab Code For Generating Plots For The Paper: Wong And Minnett (2017): The Response Of The Ocean Thermal Skin Layer To Variations In Incident Infrared Radiation., Elizabeth Wong Jan 2017

Subset Data From The Nauru 1999 And African Monsoon Multidisciplinary Analysis (Amma) 2006 Cruise And Matlab Code For Generating Plots For The Paper: Wong And Minnett (2017): The Response Of The Ocean Thermal Skin Layer To Variations In Incident Infrared Radiation., Elizabeth Wong

Supplementary Data and Tools

Data in this collection is largely comprised of subsetted data from two research cruises, the Nauru cruise held from June to July 1999 and the African Monsoon Multidisciplinary Analysis (AMMA) cruise held from May to July 2006. The data subset is limited to night conditions under low wind speeds of < 10 m/s and consists of the surface fluxes, radiance measurements from the Marine Atmospheric Emitted Radiance Interferometer (M-AERI), the retrievals of the skin sea surface temperatures and skin sea surface temperature profiles from the M-AERI's radiance spectral measurements. Also included are line-by-line-radiative transfer simulations provided by Dr. Goshka Szczodrak, transmission coefficient spectra obtained from the HITRAN database, and wind speed data from the Special Sensing Microwave Imager (SSM/I) version 6. provided by Dr. Chelle Gentemann. Matlab code is provided which reads the datafile (DATA.mat) and outputs the figures illustrated in the paper Wong and Minnett (2017) (https://doi.org/10.1002/2017JC013351).


Land Cover Data For The Mississippi-Alabama Barrier Islands, 2010-2011 Arcgis V10.3 Geodatabase, Gregory A. Carter, Carlton P. Anderson, Kelly L. Lucas, Nathan L. Hopper Jul 2016

Land Cover Data For The Mississippi-Alabama Barrier Islands, 2010-2011 Arcgis V10.3 Geodatabase, Gregory A. Carter, Carlton P. Anderson, Kelly L. Lucas, Nathan L. Hopper

Land Cover Data for the Mississippi-Alabama Barrier Islands, 2010-2011

Land cover on the Mississippi-Alabama barrier islands was surveyed in 2010-2011 as part of continuing research on island geomorphic and vegetation dynamics following the 2005 impact of Hurricane Katrina. Results of the survey include sub-meter GPS location, a listing of dominant vegetation species and field photographs recorded at 375 sampling locations distributed among Cat, West Ship, East Ship, Horn, Sand, Petit Bois and West Dauphin Islands. The survey was conducted in a period of intensive remote sensing data acquisition over the northern Gulf of Mexico by federal, state and commercial organizations in response to the 2010 Macondo Well (Deepwater Horizon) …


Object Discrimination Using A Multi-Wavelength Photonic Sensor, Kavitha Venkataraayan, Sreten Askraba, Kamal E. Alameh, Clifton L. Smith Aug 2010

Object Discrimination Using A Multi-Wavelength Photonic Sensor, Kavitha Venkataraayan, Sreten Askraba, Kamal E. Alameh, Clifton L. Smith

International Cyber Resilience conference

A bench prototype photonic-based sensor for object discrimination is described. A combination module, which allows five laser diodes of different wavelengths to overlap and sequentially emit identically-polarised light beams through a common aperture, is presented. The key visible and infrared wavelengths are selected from sample objects spectral signatures. A cylindrical optical quasi-cavity structure is designed to generate 15 laser spots for each laser. The intensity of the reflected light from each spot is detected by a high speed line scan image sensor. Object discrimination is accomplished by calculating the slope values between selected wavelengths in the blue to infrared range.