## Breadcrumb

-  Community for Data Integration (CDI) 
-  Science 

#           Increasing data accessibility by adding existing datasets and capabilities to a cutting-edge visualization app to enable cross-community use      

  Active

      By Community for Data Integration (CDI)      March 30, 2023    

            -              Overview           

We will collate and publish existing datasets from collaborators and ingest them into a visualization app to help researchers with machine learning model-building and hypothesis-making. These data collation and app development methods could help other researchers increase their data accessibility.

We will collect, collate, harmonize, and standardize existing hyperspectral datasets of major crops for selected agroecological zones throughout the world from known collaborators, ingesting them into a visualization app to help researchers gather crucial reference training, testing, and validation data for machine learning and artificial intelligence models for studying agricultural crops. Data collation and app development will provide easy search and visualization capabilities, increasing data accessibility and understanding. Anticipated deliverables include at least 6 data releases from collaborators including Gumma (India data), Huete (Australia, Turkey data), Marshall (California data), and Lamb/Hively (Maryland data); development and release of the app and source code; and presentations at two conferences to solicit feedback during development. This work reflects the CDI FY23 theme of “Increasing connection, readiness, and equity of climate related data and models” by connecting siloed data into our Global Hyperspectral Imaging Spectral-library of Agricultural crops (GHISA; www.usgs.gov/WGSC/GHISA) platform and our visualization app.

### Study Area

### Contacts

#### Itiya P Aneece

##### Research Geographer

Western Geographic Science Center

ianeece@usgs.gov

928-556-7111

#### Prasad S. Thenkabail, PhD

##### Senior Scientist (ST)

Western Geographic Science Center

pthenkabail@usgs.gov

928-556-7221

#### Raymond Kokaly

##### Research Geophysicist

Geology, Geophysics, and Geochemistry Science Center

Spectroscopy Lab

raymond@usgs.gov

303-236-1359

#### Brian Lamb

##### 

#### Richard McCormick

##### 

### Explore Search

                      - 2023
                      - Data Release
                      - Source Code
                      - Web Application
                      - Workshop
                      - Data and Information Assets
                      - Computational Tools and Services
                      - Best Practices
                      - All Funded Projects
                      - Information Systems

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We will collate and publish existing datasets from collaborators and ingest them into a visualization app to help researchers with machine learning model-building and hypothesis-making. These data collation and app development methods could help other researchers increase their data accessibility.

We will collect, collate, harmonize, and standardize existing hyperspectral datasets of major crops for selected agroecological zones throughout the world from known collaborators, ingesting them into a visualization app to help researchers gather crucial reference training, testing, and validation data for machine learning and artificial intelligence models for studying agricultural crops. Data collation and app development will provide easy search and visualization capabilities, increasing data accessibility and understanding. Anticipated deliverables include at least 6 data releases from collaborators including Gumma (India data), Huete (Australia, Turkey data), Marshall (California data), and Lamb/Hively (Maryland data); development and release of the app and source code; and presentations at two conferences to solicit feedback during development. This work reflects the CDI FY23 theme of “Increasing connection, readiness, and equity of climate related data and models” by connecting siloed data into our Global Hyperspectral Imaging Spectral-library of Agricultural crops (GHISA; www.usgs.gov/WGSC/GHISA) platform and our visualization app.

### Study Area

### Contacts

#### Itiya P Aneece

##### Research Geographer

Western Geographic Science Center

ianeece@usgs.gov

928-556-7111

#### Prasad S. Thenkabail, PhD

##### Senior Scientist (ST)

Western Geographic Science Center

pthenkabail@usgs.gov

928-556-7221

#### Raymond Kokaly

##### Research Geophysicist

Geology, Geophysics, and Geochemistry Science Center

Spectroscopy Lab

raymond@usgs.gov

303-236-1359

#### Brian Lamb

##### 

#### Richard McCormick

##### 

### Explore Search

                      - 2023
                      - Data Release
                      - Source Code
                      - Web Application
                      - Workshop
                      - Data and Information Assets
                      - Computational Tools and Services
                      - Best Practices
                      - All Funded Projects
                      - Information Systems

View All **