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Location: NASA Langley Research Center

Blog: https://appliedsciences.nasa.gov/nasadevelop

nasa-develop's Projects

oplc

Osa Peninsula Land Cover, 2018 Summer GA Osa Water Resources OPLC

The Optical Reef and Coastal Area Assessment (ORCAA) tool in Google Earth Engine allows users to monitor, track, and evaluate water parameters in the Belize and Honduras Barrier Reefs from January 2013 to present using Landsat 8, Sentinel-2, and Aqua/Terra MODIS imagery.

phoenix

The Plume Hazards and Observations of Emissions by Navigating an Interactive Explorer (PHOENIX) is a Google Earth Engine script created by the Summer 2020 Pacific Northwest Health & Air Quality team.

pico

Pixelwise Correlation-Based Landscape Classification (PiCo). PiCo, an R script, automates and regionalizes the Climate Landscape Response (CLaRe) metrics developed by Wallace et al 2016. This script performs a pixel-wise regression analysis to produce rasters whose correlation values can be evaluated to target buffelgrass.

popp

Palm Oil Plantation Predictor (POPP). This Python software automates the process of downloading, atmospherically correcting, and processing raster data in order to identify potential palm oil plantations.

prime

The software can be used to determine what areas in a region receive the most precipitation, and would thus benefit most from rainwater harvesting.

pstp

Provisional Surface Temperature Processing (PSTP) script applies cloud- and water-masking techniques to specific raster layers of the USGS Landsat Provisional Surface Temperature product to make imagery analysis-ready.

rain

This software can be used to understand precipitation and its influence on resiliency. It will analyze and visualize data as maps and charts.

rifraf

This software was created to address concerns of fire managers in the Missouri River Basin. Previously, fire managers inferred a regional fire risk from separate sources, (i.e. temperature maps, drought indices, and precipitation averages). This software combined partner specified variables that have historically lead to large, complex fire conditions in a single map.

rig

Rainfall Intensity Graphs (RIG) v.1.0 - 2018 Spring - A Google Earth Engine Tool developed for end-user the National Park Service at Navajo National Monument (NAVA) in northern Arizona. Quickly visualizes GPM or TRMM in space and gives rainfall intensity values for time.

savetree

SAVeTrEE is a script within Google Earth Engine for classifying areas of vegetation mortality. It prompts the user for a year, duration, and spectral index for which a mortality map should be produced, then fits a trend line to an imagery time sequence of vegetative spectral index values calculated from Landsat multispectral data. The slope of the trend line, as well as the spectral index values, are used in determining the final classification of each pixel within the study area. Classification categories are: 1) Growing 2) Mortality (declining) 3) Stable Vegetation and 4) Stable Barren.

sdci

Scaled Drought Condition Index Tool

set

Beta version of the Skyglow Estimation Toolbox. Documentation ->

slacc

The Supervised Land Cover Classification (SLaCC) tool is a Google Earth Engine script created by the Summer 2019 Southern Maine Health and Air Quality Team. It uses NASA Earth observations, the National Land Cover Database, land cover classification training data, and a shapefile of Cumberland County, Maine, USA. The goal of the project was to evaluate land cover and tick habitat suitability in southern Maine. The SLaCC script occurs in two parts. Part 1 of the script allows users to create a supervised land cover map over a region using a Classification And Regression Tree (CART) model. Part 2 of the script allows users to create a map that displays the "edges" of chosen land covers.

stfc

The Short-term Forest Change Tool (STFC) is a Google Earth Engine script created by the Spring 2020 Costa Rica and Panama Ecological Forecasting team. The main scope of the software is to display changes in vegetation of forested areas and identify regions of possible deforestation.

swim

This tool allows users to identify surface water from the most current imagery available, or to monitor temporal changes of surface water in their management area.

taow

Turbidity Assessment Over Water - 2017 Summer - The Chesapeake Bay Automation Master Script provides automation for processing atmosperhically corrected satellite imagery. This script specifically pre-processes Landsat 8 and Sentinel-2 datasets that were atmospherically corrected by ACOLITE.

texas-nac

The NAC code takes collections of Landsat 5 TM, Landsat 7 ETM+, and Landsat 8 OLI data in a specified boundary and from 1986 to 2016 and combines it into one merged collection.

uheat

Tool to determine priority areas of concern due to the urban heat island effect for the City of Tempe, AZ.

vocal

Visualization of CALIPSO (VOCAL). A CALIPSO Cross Cutting tool for visualizing data

wet

The Wetland Extent Tool (WET) was developed by the 2019 Spring JPL Great Lakes Water Resources team for wetland mapping in Minnesota using Sentinel-1 C-SAR, Landsat 8 OLI, and a LiDAR-derived Topographic Wetness Index (TWI) in Google Earth Engine.

wet2.0

The 2020 Spring Great Lakes Water Resources II adapted the Wetland Extent Tool (WET) to create WET 2.0, which is a tool with a Graphical User Interface (GUI) that automates wetland classification for the entire Great Lakes Basin using Sentinel-1 C-SAR, Landsat 8 OLI, Sentinel-2 MSI, and Dynamic Surface Water Extent (DSWE).

writ

For the AcoFixDual_Tool: Geolocates and rescales ACOLITE output to make it useful in ArcMap.

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