Open Access. Powered by Scholars. Published by Universities.®

Physical and Environmental Geography Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 7 of 7

Full-Text Articles in Physical and Environmental Geography

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.


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 Jun 2018

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 well-established land …


Changing Snow Seasonality In The Highlands Of Kyrgyzstan, Monika Tomaszewska, Geoffrey Henebry May 2018

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 our identification of significant trends was …


Changing Snow Seasonality In The Highlands Of Kyrgyzstan, Monika Tomaszewska, Geoffrey Henebry May 2018

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

NASA Land-Cover Land-Use Change Data Sets

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 our identification of significant trends was not …


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.


Expansion Of Major Urban Areas In The Us Great Plains From 2000 To 2009 Using Satellite Scatterometer Data, Lan H. Nguyen, Son V. Nghiem, Geoffrey M. Henebry Jan 2018

Expansion Of Major Urban Areas In The Us Great Plains From 2000 To 2009 Using Satellite Scatterometer Data, Lan H. Nguyen, Son V. Nghiem, Geoffrey M. Henebry

GSCE Faculty Publications

A consistent dataset delineating and characterizing changes in urban environments will be valuable for socioeconomic and environmental research and for sustainable urban development. Remotely sensed data have been long used to map urban extent and infrastructure at various spatial and spectral resolutions. Although many datasets and approaches have been tried, there is not yet a universal way to map urban extents across the world. Here we combined a microwave scatterometer (QuikSCAT) dataset at ~1 km posting with percent impervious surface area (%ISA) data from the National Land Cover Dataset (NLCD) that was generated from Landsat data, and ambient population data …