Joe Knight — Experts@Minnesota

Pastick, N. J., Jorgenson, M. T., Goetz, S. J., Jones, B. M., Wylie, B. K., Minsley, B. J., Genet, H., Knight, J., Swanson, D. K. & Jorgenson, J. C., Mar 1 2019, In : Global change biology. 25, 3, p. 1171-1189 19 p.

Research output: Contribution to journal › Article

Ecosystems

Remote sensing

remote sensing

wildfire

ecosystem

An unsupervised augmentation framework for deep learning based geospatial object detection: A summary of results

Xie, Y., Bhojwani, R., Shekhar, S. & Knight, J., Nov 6 2018, 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2018. Xiong, L., Tamassia, R., Banaei, K. F., Guting, R. H. & Hoel, E. (eds.). Association for Computing Machinery, p. 349-358 10 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Object Detection

Augmentation

learning

Urban planning

agricultural management

A TIMBER Framework for Mining Urban Tree Inventories Using Remote Sensing Datasets

Xie, Y., Bao, H., Shekhar, S. & Knight, J., Dec 27 2018, 2018 IEEE International Conference on Data Mining, ICDM 2018. Institute of Electrical and Electronics Engineers Inc., p. 1344-1349 6 p. 8594992. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2018-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Remote sensing

Urban planning

Computational efficiency

Experiments

4 Citations (Scopus)

Harmonic regression of Landsat time series for modeling attributes from national forest inventory data

Wilson, B. T., Knight, J. & McRoberts, R. E., Mar 1 2018, In : ISPRS Journal of Photogrammetry and Remote Sensing. 137, p. 29-46 18 p.

Research output: Contribution to journal › Article

forest inventory

Landsat

regression analysis

Time series

time series

16 Citations (Scopus)

Analysis of urban growth and sprawl from remote sensing data: Case of Fez, Morocco

El Garouani, A., Mulla, D. J., El Garouani, S. & Knight, J., Jun 1 2017, In : International Journal of Sustainable Built Environment. 6, 1, p. 160-169 10 p.

Research output: Contribution to journal › Article

Urban growth

urban sprawl

Morocco

urban growth

population growth

Datasets

Minnesota Land Cover Classification and Impervious Surface Area by Landsat and Lidar: 2013 Update

Bauer, M., Knight, J., Rampi, L. P., Data Repository for the University of Minnesota, 2016

DOI: 10.13020/D6JP4S, http://doi.org/10.13020/D6JP4S

Dataset

Twin Cities Metropolitan Area 1-Meter Land Cover Classification (Urban Focused)

Host, T., Knight, J., Rampi, L. P., Data Repository for the University of Minnesota, 2016

DOI: 10.13020/D6959B, http://doi.org/10.13020/D6959B

Dataset

Rochester 1-Meter Land Cover Classification (Urban Focused)

Host, T., Knight, J., Rampi, L. P., Data Repository for the University of Minnesota, 2016

DOI: 10.13020/D6DW2V, http://doi.org/10.13020/D6DW2V

Dataset

2015 Twin Cities Metropolitan Area Urban Tree Canopy Assessment

Host, T., Knight, J., Rampi, L., Data Repository for the University of Minnesota, 2017

DOI: 10.13020/D6C016, http://doi.org/10.13020/D6C016

Dataset

Duluth 1-Meter Land Cover Classification (Urban Focused)

Host, T., Knight, J., Rampi, L. P., Data Repository for the University of Minnesota, 2016

DOI: 10.13020/D6PC72, http://doi.org/10.13020/D6PC72

Dataset