SEPIDROUD DAM GEODETIC DATA

19 Nov 2018 | Contributor(s): homeira mahmoudi (contributor)

Large and sensitive structures such as dams, power plants and towers are of great importance and the behavior of such structures is usually made in geotechnical and geodetic ways (engineering geodesy). In today's world, there are virtually no large structures in developed countries that...

Metadata Exporter

03 Apr 2018 | Contributor(s): Rajesh Kalyanam

Export geospatial file metadata to the ISO-19115 standard

MultiSpec - Desktop and Online Tool

20 Dec 2017 | Contributor(s): Larry Biehl

MultiSpec is an easy to learn and use, freeware image processing tool for interactively analyzing a broad spectrum of geospatial image data, with capabilities such as image display, unsupervised and supervised classification, feature extraction, feature enhancement, and several other functions....

An open source geospatial cyberinfrastructure for interdisciplinary collaboration and broader engagement

26 Oct 2017 | Downloads | Contributor(s): Carol Song

Solving complex global problems demands that researchers from different disciplines work together, and their analytical tools, models and datasets interoperate. This is especially true in the context of sustainability. For instance, multiple goals of the United Nations Sustainable Development...

iData Walkthrough

21 Oct 2017 | Online Presentations | Contributor(s): Rajesh Kalyanam

This video demonstrates the features of the GABBs iData data management building block such as automatic metadata extraction and geospatial file preview. It also walks through how iData files can be used in both hub tools and publications. 

PyMapLib for Rapid Development of Geospatial Data Analysis Tools

02 Aug 2016 | Publications | Contributor(s): Wei Wan, Lan Zhao, Jaewoo Shin, Shandian Zhe, Carol Song

This is the presentation at CyberGIS 2016 conference introducing pyMapLib, a generic Python mapping library developed as part of the NSF funded GABBS project.

Web Leaflet Map Tool

07 May 2016 | Tools | Contributor(s): Wei Wan

Web Map Tool Using Leaflet and Python

Remote Sensing Analysis on HUBzero

16 Sep 2015 | Downloads | Contributor(s): Larry Biehl

MultiSpec is a remote sensing analysis tool being developed on MyGeoHub.org as part of the Geospatial Analysis Building Blocks (GABBs) NSF-funded and the IndianaView/AmericaView USGS-funded projects. The tool has been adapted from the desktop Macintosh and Windows versions...

The GABBs Report - Building Geospatial Capability in HUBzero

15 Sep 2015 | Downloads | Contributor(s): Carol Song

Geospatial data are present everywhere today with the proliferation of location-aware computing devices. This is especially true in the scientific community where large amounts of data are driving research and education activities in many domains. Collaboration over geospatial data, for example,...

RHSeg

30 Jun 2015 | Tools | Contributor(s): Wei Wan (contributor), Lexie Yang (contributor)

The Recursive Hierarchical Image Segmentation (RHSEG) software package integrated with GeoHub release version 1.59

Geospatial Modeler

08 Aug 2015 | Tools | Contributor(s): Wei Wan

A HUBzero Open Geospatial Modeler Tool for Remote Sensing and Geospatial Data Analysis

Active Learning Modeler Tool

17 Mar 2015 | Tools | Contributor(s): Wei Wan, Lexie Yang (contributor), Rajesh Kalyanam (contributor), Christopher Panza (contributor)

Graphic modeling and view for active learning algorithms of remote sensing, integration with IData.

MultiSpec

24 Oct 2014 | Tools | Contributor(s): Larry Biehl, Abdur Rahman Maud, Wei-Kang Hsu, Tsung Tai Yeh

Image processing application to display and analyze geospatial images

Active Learning Tool

04 Feb 2015 | Tools | Contributor(s): Lexie Yang, wanwei

A Demo for "Advance Active Learning Algorithms for Robust Multi-Sensor Data Analysis"

Presentation of GABBs at Brown Dog Workshop

09 Sep 2014 | Online Presentations | Contributor(s): Carol Song

This is a presentation given at the first Brown Dog user workshop, Urbana, IL, July 2014.

Land, Environment and Climate: Contributing to the Global Public Good

31 Jul 2014 | Publications | Contributor(s): Tom Hertel

This paper discusses global public goods related to the world's land resources, their current provision and likely future provision, their potential impacts on the world's poorest households, as well as prospects for using foreign assistance to enhance these outcomes. Specifically, the...

Metadata for Climate Research Unit Time Series (CRU TS) 2.1

16 May 2012 | Downloads | Contributor(s): Lan Zhao

The CRU TS 2.1 data-set comprises 1224 monthly grids of observed climate, for the period 1901-2002, and covering the global land surface at 0.5 degree resolution. There are nine climate variables available: daily mean, minimum and maximum temperature, diurnal temperature range, precipitation, wet...

Metadata for Harvested Area and Yields of 175 crops (M3-Crops Data)

15 May 2012 | Downloads | Contributor(s): Jake R Carlson

This data collection is composed of land use data sets, generated by combining national, state, and county level census statistics along with a global data set of croplands from countries around the world for the year 2000. The resulting land use data sets depict circa the year 2000 the...

Metadata for Indiana Stream Flow Data

15 May 2012 | Downloads | Contributor(s): Jake R Carlson

The United States Geological Survey (USGS) daily streamflow dataset is the source of this dataset. Streamflow data are subjected to human interference, and therefore data contain both natural and regulated flows. This practice does not cause serious problems in flood frequency analysis (flows are...

Metadata for Historical Averages of Precipitation and Temperature Data

15 May 2012 | Downloads | Contributor(s): Jake R Carlson

This dataset is composed of plots of historical time series of average precipitation (measured in inches) and temperature (measured in fahrenheit degrees) data with five year tendencies for each climate division (CD) within Illinois, Indiana, Kentucky, Michigan, Ohio, and Wisconsin. Data are...