Predicting Impervious Land Expansion Using Deep Deconvolutional Neural Networks. - Pariya Pourmohammadi; Donald A. Adjeroh; Michael P. Strager (IGARSS, 2019)

Mapping the Land Development Processes Using Data Transformation and Clustering Methods. - Pariya Pourmohammadi; Donald A. Adjeroh; Michael P. Strager (IGARSS, 2020)

Predicting developed land expansion using deep convolutional neural networks. - Pariya Pourmohammadi; Donald A. Adjeroh; Michael P. Strager; Y. Z. Farid (Environ. Model. Softw., 2020)

Mapping the Topographic Features of Mining-Related Valley Fills Using Mask R-CNN Deep Learning and Digital Elevation Data. - Aaron E. Maxwell; Pariya Pourmohammadi; Joey D. Poyner (Remote. Sens., 2020)

Analysis of Land Development Drivers Using Geographically Weighted Ridge Regression. - Pariya Pourmohammadi; Michael P. Strager; Michael J. Dougherty; Donald A. Adjeroh (Remote. Sens., 2021)

Ensemble Encoder-Decoder Models for Predicting Land Transformation. - Pariya Pourmohammadi; Michael P. Strager; Donald A. Adjeroh (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)