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| Domain | Tool | Type | Description | Code | Py1/Py2 | JSON-LD | DCKR | Test File | TC | DPL | DL | Assignment | |
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| Hydrology
| 1 | Advection Diffusion | Solve a general advection-dispersion equation. | No (Don't have a general tool. Seems like this was not done as per the description.) |
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| Sandeep Puthanveetil Satheesan Per Dr K this will be post beta | ||||||
| 2 | Chemical Mean Age | Extractor | Determine the mean age of chemical constituents with inputs of chemical dynamics. | No (This is a simulation tool - don't have code.) |
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| Sandeep Puthanveetil Satheesan Per Dr K this will be post beta | |||
| 3 | Document Tables Extractor (ncsa.nlp.wordtables) | Extractor | Extract tables from documents. | Yes | No | No | No | No | No | No | No | ||
| 4 | ESRI Shapefile Extractor by using GDAL (ncsa.geoshp.preview) | Extractor | Create a Geoserver layer for WMS service. It can be used in previewer | Yes | Py1 | Yes | Yes | Yes | No | Yes | No | ||
| 5 | GeoTiff Extractor by using GDAL (ncsa.geotiff.preview) | Extractor | Create a Geoserver layer for WMS service. It can be used in previewer | Yes | Py1 | Yes | Yes | Yes | No | Yes | No | ||
| 6 | GeoTiff Metadata Extractor by using GDAL (Another implementation) (ncsa.geotiff.metadata) | Extractor | Extract geospatial metadata from Geotiff. It should be combined with #5 Geotiff extractor. | Yes | Py1 | Yes | Yes | Yes | Yes | Yes | No | ||
| 7 | Historical River Extractor (ncsa.cv.river) | Extractor | Extract the river networks from the ancient hand-drawing maps and compare them with current river networks | Yes | Py1 | Yes | Yes | Yes | Yes | Yes | No | ||
| 8 | Normalized Difference Vegetation Index (ncsa.arcgis.landsat7mosaic) | Extractor | Create a NDVI layer from Landsat data. Calculating vegetation indices such as NDVI and Surface Temperature from Landsat 7 and 8 satellite data. | Yes | Py1 | Yes | N/A (Windows, ArcGIS) | Yes | No | Yes (Windows VM) | No | ||
| 9 | River Chi Index (ncsa.chi_analysis) | Extractor | Identify the river dynamics in a river basin and evaluate human activities' influences through Chi index in the streams. | Yes | Py1 | Yes | Yes | Yes | Yes | Yes | Yes | ||
| 10 | GDAL Converter | Converter | Converts between TIFF and BIL (zip) and FLT (zip) | Yes | N/A | N/A | Yes | Yes | Yes | Yes | Yes | ||
| 11 | River Sinuosity | Extractor | Study the maturity and equilibrium conditions of a stream through the sinuosity index. |
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| Sandeep Puthanveetil Satheesan Qina supposed to be delivering code - Dr K thinks it should make it in Beta | ||||
| 12 | Soil Moisture Change | Extractor | Determine role of hydraulic redistribution in AZ (riparian site / upland site) by studying soil moisture change throughout different seasons. | No |
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| Sandeep Puthanveetil Satheesan Per Dr. K - will need discussed and can not be in Beta | |||
| 13 | Species Classifier | Extractor | SAM based Species Classification from Hyperspectral data, Hyperspectral Indices, NDVI, SAVI, MSAVI, etc. | No
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| Sandeep Puthanveetil Satheesan Dr K does not think this will make it in Beta | |||||
| 14 | Floodplain Extractor by using TerEx (ncsa.arcgis.floodplain) | Extractor | Identify the flat polygons and the heights inside a river valley. | Yes (but procedure?) | Py1 | Yes | No (windows) | Yes | No | Yes (Windows) | no | ||
| 15 | Topographic Depressions | Extractor | Identify topographic depressions (TDs) and their distribution on landscape (Number, location, area, volume of TDs). | Yes - ready to review |
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| 16 | (ncsa.arcgis.treedelin) | Extractor | Create a shape-file with polygons of tree canopy polygon from LiDAR data | Yes | Py1 | Yes | N/A (Windows, ArcGIS) | Yes | Yes | Yes (Windows VM)
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| 17 | Tree-wise voxelization | Tree-wise voxelization of waveform data for lidar metrics that describes canopy structure (max intensity, height, etc...). Individual tree delineation, tree leaf area density to describe vertical leaf distribution. | Yes (But extractor has to be developed) | No | No | No | No | No | No | No | |||
| 18 | Valley Safety Zones | Extractor | Estimate submerging areas and water depths under extreme floods and map the safety zones in a river valley. | NoYes |
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| Ecology
| 1 | netcdf (ncdump) | Converter | Convert from binary netcdf to text. | N/A | N/A | N/A | Yes | Yes | Yes | Yes | Yes | |
| 2 | PEcAn (PEcAn#Ameriflux) | Converter | Convert Ameriflux data to PEcAn's netcdf CF format. | Yes | N/A | N/A | Yes | Yes | Yes | Yes | Yes | ||
| 3 | PEcAn (PEcAn#DALEC) | Converter | Convert PEcAn's netcdf CF format to the format required by the DALEC model. | Yes | N/A | N/A | Yes | Yes | Yes | Yes | Yes | ||
| 4 | PEcAn (PEcAn#ED2) | Converter | Convert PEcAn's netcdf CF format to the format required by the ED model. | Yes | N/A | N/A | Yes | Yes | Yes | Yes | Yes | ||
| 5 | PEcAn (PEcAn#LINKAGES) | Converter | Convert PEcAn's netcdf CF format to the format required by the LINKAGES model. | Yes | N/A | N/A | Yes | Yes | Yes | Yes | Yes | ||
| 6 | PEcAn (PEcAn#Sipnet) | Converter | Convert PEcAn's netcdf CF format to the format required by the Sipnet model. | Yes | N/A | N/A | Yes | Yes | Yes | Yes | Yes | ||
| 7 | PEcAn (PEcAn#AmerifluxBNL) PEcAn (PEcAn#FLUXNET2015) PEcAn (PEcAn#FACE) PEcAn (PEcAn#PALEON) PEcAn (PEcAn#NLDAS) PEcAn (PEcAn#CURNCEP) PEcAn (PEcAn#GLDAS) PEcAn (PEcAn#GFDL) PEcAn (PEcAn#BIOCRO) PEcAn (PEcAn#CLM) PEcAn (PEcAn#GDAY) PEcAn (PEcAn#JULES) PEcAn (PEcAn#LPJ-GUESS) PEcAn (PEcAn#MAAT) PEcAn (PEcAn#MAESPA) PEcAn (PEcAn#PRELES) | Yes | N/A | N/A | No | Yes | Yes | Yes | No | ||||
| 8 | PlantCV (terra.plantcv) | Extractor | Extract plant height, area, and color distribution from photographs. | Yes | Py1 | yes | yes | yes | yes | no (bamboo test available, not being deployed) | no | ||
| 9 | BIL (hyperspectral) | Converter | Convert bil.zip (contains raw & *.hdr) to *.terra.nc | Yes (The original code has been updated. Need to figure out if we want to update this) | N/A | N/A | yes | no, only test files available are very large and would take a long time | yes | no (bamboo test available, not being deployed) | no | ||
| Civil & Environmental Engineering
| 1 | Body of Water Detector (ncsa.image.ponddetect) | Extractor | Land coverage, extract locations of bodies of water from satellite data. | Yes | No | No | No | Yes | No | No | No | ??who?? |
| 2 | GI Identification | Extractor | Yes | Py1 | Yes | Yes | Yes | Yes | Yes | No | |||
| 3 | Human Preference Score (ncsa.image.humanpref) | Extractor | Assign a model derived human preference score to a given image of an urban environment. | Yes | no | no | no | yes | no | yes | no | ??who?? | |
| 4 | Route Greenness (ncsa.greenindex) | Extractor | Derive the green index of a city route. | Yes | Py1 | Yes | yes | yes | Yes | Yes | No | ||
| 5 | Social Media GI Preferences | Extractor | Determine if text contains references to visual or functional green infrastructure. | Yes | Py1 | Yes | Yes | Yes | No | no | No | ||
| 6 | Stanford CoreNLP - Sentiment (ncsa.nlp.SNLPSentiment) | Extractor | Assign a sentiment score to a piece of text. | Yes | Py2 Java equiv. | Yes | Yes | Yes
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| 7 | TUV Triaxus | Extractor | Towed Undulating Vehicle Data Analyzing Tools | Yes | Py1 | yes | yes | yes | yes | yes | No | ||
| Social Science & Humanities | 1 | Bertillon Card Cell Extractor (ncsa.image.dmp) | Extractor | Extract table cells from a Bertillon Card. | Yes | Py1 | Yes | No | No | No | No | No | |
| 2 | Census Form Cell Extractor (census-section-segmentor) | Extractor | Extract table cells from a 1930s Census form. | Yes | No | No | No | Yes | No | No | No | ||
| 3 | Handwritten Decimals Extractor (ncsa.image.sphog.debod) | Extractor | Extract handwritten decimal values from an image. | Yes | Py1 | Yes | No | No | No | No | No | ||
| 4 | (ncsa.image.killedphoto) | Extractor | Identify depression era photos "killed" by Farm Security Administration director Roy Stryker, indicated by a hole punch in the image. | Yes | Py2 | Yes | Yes | Yes | Yes | no | no | ||
| 5 | Mean Grey (ncsa.cv.meangrey) | Extractor | Mean grey values of black and white photos. | Yes | Py1 | Yes | Yes | Yes | Yes | Yes | no | ||
| 6 | Movie Slice (ncsa.movieslice) | Extractor | Generates movie slice visualization from video files | Yes | Py1/Py2 not used | No | No | No | No | No | No | ||
| 7 | Person Detector (ncsa.video.person_detector) | Extractor | Extract locations of people in an image. | Yes | Py2 | Yes | Yes (MATLAB external) | Yes | Yes | Yes | No | ||
| 8 | Person Tracker (ncsa.video.person_tracking) | Extractor | Extract locations and paths of people moving in videos. | Yes | Py2 | Yes | Yes (MATLAB external) | Yes | Yes | Yes | No | ||
| 9 | Video Analytics Toolbox (ncsa.cinemetrics_batch) | Extractor | Extract shot descriptors from videos. | Yes | Py1/Py2 not used | No | No | No | No | No | No | ||
| Biology, Genomics, Medicine | 1 | FSL (mri2mesh) | Extractor | Creates a finite element mesh from a set of mr images | Yes | Py2 | no | yes | yes | no | no | no | |
| 2 | Glomeruli (ncsa.msc.diagnosis) | Extractor | Extract glomeruli from Kidney biopsy images. | Yes | Py1 | Yes | Yes | Yes | Yes | no | no |
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