John Dilger Email & Phone Number

Houston, Texas, Us

Pleasanton, Ca, Us

Pleasanton, Ca, Us

• geospatial analysis - developing or applying workflows for forest carbon, restoration suitability, change detection, and MRV (monitoring reporting and validation) primarily using Google Earth Engine and Python. • data engineering - creating ETL pipelines for data ingestion and export in Google Earth Engine.• geospatial data science - exploration of applications in computer vision (DL/AI) for geospatial applications using Tensorflow and Google Earth Engine. Used convolution neural networks, deep neural networks, and transfer learning.• google cloud platform - manage access and resources for Environmental Mapping team • pedagogy - developing content for capacity building remote sensing/ geospatial analysis workshops regions of work - South America, South East Asia (Mekong), Central Africa, US (California)

Charlottesville, Virginia, Us

• geospatial data science - developed models for forest change detection, construction monitoring, and road segmentation. Used PyTorch, GDAL/OGR, Tensorboard, Rasterio.• data engineering - created pipelines for image processing and batch inference. Used Python, Postgresql/PostGis, Metaflow, AWS, Argo.Regions of work - continental United States

Moffett Field, California, Us

• Served as point of contact for GIS (Arc, ENVI, QGIS), remote sensing, and coding (Python, JavaScript, R) needs for ~ 50 NASA DEVELOP project teams as part of a 3 person team•Directly collaborated with Ames Research Center DEVELOP project teams processing multispectal remotely sensed imagery (Landsat, RapidEye, Sentinel-2) and supporting geospatial analysis•Managed software release process of 5 project teams ensuring their code executed as intended and properly documented•Managed NASA DEVELOP Google Earth Engine repository •Managed NASA DEVELOP GitHub

Moffett Field, California, Us

• Worked with a small team to use NASA Earth observations to assess tree mortality and fuel loading dynamics in Lassen Volcanic National Park, CA• Developed SAVETREE, a tool in Google Earth Engine, for assessing tree growth and mortality. Derived from Landsat TM & OLI, SAVETREE generates a greenest pixel composite image per-growing season which then takes a user defined index & time period to run a linear regression per-pixel to show growth or decline• Created a higher resolution (10m²) present day classification of tree mortality using Sentinel-2 A imagery. Landsat derived SAVETREE output was temporally matched with Sentinel-2 imagery to create training data for a SVM classification in ArcMap for a binary output of tree mortality• Provided a LiDAR feasibility case study for our partners at the NPS demonstrating it's utility in forest management, which lead to the funding of LiDAR acquisition for Lassen Volcanic National Park• Processed LiDAR from Goddard LiDAR, Hyperspectral & Thermal Imager using FUSION and LAStools to create ladder fuel risk assessment based off canopy cover, slope, aspect, and under story binning

•Researched innovations in managing and measuring forest carbon stocks in California leveraging LiDAR data as a means to estimate aboveground biomass(AGB)•Wrote code to automate pre-processing of LiDAR layers used in AGB estimation methodologies using Python 2.7.•Derived landscape level AGB estimations using multivariate regression •LiDAR was pre-processed using LAStools and Fusion (USFS), variable importance and regression was conducted with R, and final ABG estimation was completed using ArcMap.

Moffett Field, California, Us

• Used Landsat 8, Aqua MODIS, and airborne hyperspectral imagery to analyze harmful algae blooms in Lake Erie• Processed imagery and applied various algorithms using ENVI/IDL, ran a multivariate regression in R-studio solving for in situ toxicity levels from water quality indices, and created study area maps with vector data in ArcGIS• Communicated with partners (NOAA and NASA Glenn Research Center) and end-users (Kent State and OhioEPA) on project updates and deliverables

Conducted public outreach and canvassing for District 5 Supervisor London Breeds campaign. Trained new staffers and volunteers on how to conduct outreach.

San Francisco, Ca, Us

As an intern under the California Grants team for the Trust for Public Land I provided help on a variety of research and administrative tasks. Daily work was dynamic per the sheer multitude of programs we handled. Direct work included drafting letters of support, updating and maintaining the grants database, composing grants memos, supportive research, and creating maps showing areas of interest in relation to proposed project. I gained a working knowledge of the intricate grant process for both the state and national level.

San Francisco, Ca, Us

As a contractor for Barbary Coast I gained professional experience doing canvassing and public outreach. I have worked specifically on projects for: San Francisco Municipal Transportation Agency, BioMarin, and Recology. Duties included canvassing, community outreach, and managing data regarding proposed projects such as mass transit alterations,a bid for a recycling contract for Daily City, and a development project in San Rafael.

San Francisco, Ca, Us

I maintained and operated laboratory equipment such as stream flow meters, Hach multi-probes, minisondes, and GPS devices. Other tasks included preparing standards and reagents for use in labs, and identifying, sorting, and cataloging geologic samples

While based out of Oregon, all the work was conducted in San Francisco. This short-term job involved recording observations of how persons interacted with newly installed engineering exhibits at the base of the Golden Gate Bridge and the Exploratorium.

Monterey, Ca, Us

As an after school counselor I tutored and led grade school and middle school children in after school activities. Work involved creating lesson plans, managing a large group as a team and by myself, communicating with parents and planning group activities.