Difference between revisions of "Partnership Applications"

Latest revision as of 08:08, May 1, 2024

Back to Partnership -- The following applications have been posted for review by the Partnership Committee

April 2024 Class

Earth Resources Technology - Type II

Earth Resources Technology, Inc. integrates full-spectrum, data-driven science and technology solutions to solve high-profile and demanding Federal Earth and Space mission priorities -enabling government agencies and the industry to make critical climate decisions that contribute to preserving lives and property and sustaining economies and ecosystems. We are at the forefront of the entire environmental data lifecycle, from collection, to ingest, processing and analysis, modeling, archive and dissemination, and decision support. Primary capabilities are in Satellite Ground Segment Engineering, Scientific Data Modeling, Data Analytics and Application of AI/ML to Scientific Problems, Scientific Software Development, and Enterprise and Cloud Computing.

Website: www.ertcorp.com

Full Application: [1]

Supplemental Material: [2]

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 ''Back to'' '''[[Partnership]]''' -- The following applications have been posted for review by the Partnership Committee  <br>
-==Fall 2020 Class ==
+==April 2024 Class ==
-===Airborne Snow Observatories - ESIP-III ===
+===Earth Resources Technology - Type II===
-Building on a 7-year legacy with the NASA Jet Propulsion Laboratory, Airborne Snow Observatories Inc. provides
-basin-scale inventories of mountain snow water resources using industry-leading airborne remote sensing
-techniques and modeling. ASO collaborates with many academic research organizations, including NCAR, and
-distributes data to academics for research purposes.
-:Website: https://www.airbornesnowobservatories.com/
+Earth Resources Technology, Inc. integrates full-spectrum, data-driven science and technology solutions to solve high-profile and demanding Federal Earth and Space mission priorities -enabling government agencies and the industry to make critical climate decisions that contribute to preserving lives and property and sustaining economies and ecosystems.  We are at the forefront of the entire environmental data lifecycle, from collection, to ingest, processing and analysis, modeling, archive and dissemination, and decision support. Primary capabilities are in Satellite Ground Segment Engineering, Scientific Data Modeling, Data Analytics and Application of AI/ML to Scientific Problems, Scientific Software Development, and Enterprise and Cloud Computing.
-:Full Application: [https://drive.google.com/file/d/1qc7plGReKuPLOFlIMJMt8kDY2AeX1xeg/view?usp=sharing]
-===Scenarios Network for Alaska and Arctic Planning (SNAP) - ESIP-II ===
+:Website: [https://www.ertcorp.com www.ertcorp.com]
-Since 2007, SNAP has used climate data to create and share ideas of what a future Northern climate
+:Full Application: [https://drive.google.com/file/d/1jkyOGCQylYOLf2PctuDtAjTzujpchFww/view?usp=sharing]
-could look like. Because climate projections can be misleading and potentially misused, interpretation that recognizes uncertainty is needed. We work with climate data every day and know how to display a specific trend or pattern in the most unbiased manner. SNAP scenarios are not forecasts based on probabilities. Instead,
+:Supplemental Material: [https://docs.google.com/document/d/1KgjdEXEcfYj73idR3gOeNrPtIEmOUZcB/edit?usp=sharing&ouid=108507014531272273639&rtpof=true&sd=true]
-they use data to ask "What if ...?" and consider multiple divergent, challenging, and possible future
-events. Combining these scenarios with stakeholder knowledge fosters informed dialogue and planning.
-We help partners and clients of varying needs and technical experience choose the best ways to visually
+:
-communicate climate research information by creating maps, websites, interactive tools, diagrams, and print
-publications. Some examples include the Historical Sea Ice Atlas website and custom maps created for an Arctic
-management report to the President of the United States. SNAP also applies dynamical and statistical (delta)
-downscaling methods to climate data to create locally accurate climate information.
-:Website: https://uaf-snap.org/
-:Full Application: [https://drive.google.com/file/d/15P_PE_ouvr2N-rlBdD7_75yyfkjtEE8V/view?usp=sharing]