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Cloud-Based Land Change Modeler Application: Summer Internship With Clark Labs, Lei Rong
Cloud-Based Land Change Modeler Application: Summer Internship With Clark Labs, Lei Rong
International Development, Community and Environment (IDCE)
ABSTRACT
Cloud-based Land Change Modeler Application:
Summer Internship with Clark Labs, Worcester, MA
Lei Rong
This report provides a detailed illustration of my internship experience with Clark Labs in Worcester, MA, during the summer of 2015. The internship is about two Land Change Modeler projects which conducted by Esri. The first one is a cloud-based Land Change Model on ArcGIS online for professional change analysts. Another one is a free cloud-based App for land change analysts and the public to explore land change of 48 states in United State. This work mainly relied on TerrSet skills and Land Change Modeler …
Land Change Modeler Application:Summer Internship With Clark Labs, Siqi Cheng, Nan Ding
Land Change Modeler Application:Summer Internship With Clark Labs, Siqi Cheng, Nan Ding
International Development, Community and Environment (IDCE)
This paper is a description of our internship with Clark Labs in the summer of 2015. We worked as research assistants in the Land Change Modeler Application (App) project. This project aimed to display the land cover changes in the United States from 2001 to 2010, show the vulnerability in 48 states and predict changes from the yaer 2050. Our responsibility was to extract eight variables (slope, elevation, surface water, roads, high intensity land, protected areas, county subdivisions, and cultivated crops) in TerrSet, and use them in several models to test the accuracy of prediction.
The internship is a great …
Land Change Modeler Application: Summer Internship With Clark Labs, Nan Ding, Siqi Cheng
Land Change Modeler Application: Summer Internship With Clark Labs, Nan Ding, Siqi Cheng
International Development, Community and Environment (IDCE)
This paper is a description of our internship with Clark Labs in the summer of 2015. We worked as research assistants in the Land Change Modeler Application (App) project. This project aimed to display the land cover changes in the United States from 2001 to 2010, show the vulnerability in 48 states and predict changes from the yaer 2050. Our responsibility was to extract eight variables (slope, elevation, surface water, roads, high intensity land, protected areas, county subdivisions, and cultivated crops) in TerrSet, and use them in several models to test the accuracy of prediction.
The internship is a great …