| Effect of classifier selection, reference sample size, reference class distribution and scene heterogeneity in per-pixel classification accuracy using 26 Landsat sites SS Heydari, G Mountrakis Remote Sensing of Environment 204, 648-658, 2018 | 173 | 2018 |
| Meta-analysis of deep neural networks in remote sensing: A comparative study of mono-temporal classification to support vector machines SS Heydari, G Mountrakis ISPRS Journal of Photogrammetry and Remote Sensing 152, 192-210, 2019 | 71 | 2019 |
| Harvesting the Landsat archive for land cover land use classification using deep neural networks: Comparison with traditional classifiers and multi-sensor benefits G Mountrakis, SS Heydari ISPRS Journal of Photogrammetry and Remote Sensing 200, 106-119, 2023 | 11 | 2023 |
| Automated Geospatial Approach for Assessing SDG Indicator 11.3. 1: A Multi-Level Evaluation of Urban Land Use Expansion across Africa OSE Cardenas-Ritzert, JC Vogeler, S Shah Heydari, PA Fekety, M Laituri, ... ISPRS International Journal of Geo-Information 13 (7), 226, 2024 | 2 | 2024 |
| Multi-Tier Land Use and Land Cover Mapping Framework and Its Application in Urbanization Analysis in Three African Countries S Shah Heydari, JC Vogeler, OSE Cardenas-Ritzert, SK Filippelli, ... Remote Sensing 16 (14), 2677, 2024 | 1 | 2024 |
| Effect of intra-year Landsat scene availability in land cover land use classification in the conterminous United States using deep neural networks G Mountrakis, SS Heydari ISPRS Journal of Photogrammetry and Remote Sensing 212, 164-180, 2024 | | 2024 |
| Annual Land Use and Urban Land Cover: Ethiopia, Nigeria, and South Africa, 2016-2020. ORNL DAAC, Oak Ridge, Tennessee, USA J Vogeler, SS Heydari | | 2024 |
| Comparison of Remotely sensed imagery at different spatial resolutions for characterizing urban green and open spaces JV S Shah Heydari, D Rode, O Cardenas-Ritzert, S K Filippelli, M Lauturi International Association for Landscape Ecology (IALE–North America) Annual …, 2024 | | 2024 |
| Integrated multi-tier mapping for improved ecosystem services assessment and its application in urbanization analysis in three African countries S Shah Heydari, O Cardenas-Ritzert, S Filippelli, M McHale, M Laituri, ... AGU Fall Meeting Abstracts 2022, GC33B-02, 2022 | | 2022 |
| Continental US Land Cover Mapping using Deep Neural Networks, Landsat Time-series Observations and Large Reference Datasets G Mountrakis, S Shah Heydari AGU Fall Meeting Abstracts 2021, B31C-01, 2021 | | 2021 |
| Large Area Land Cover Mapping Using Deep Neural Networks and Landsat Time-Series Observations SS Heydari State University of New York College of Environmental Science and Forestry, 2021 | | 2021 |
| Optimizing Spatial-Spectral-Temporal Neural Network Models for Large-Scale Landcover Classification Based on Landsat Data Archive S Shah Heydari, G Mountrakis AGU Fall Meeting Abstracts 2020, IN007-06, 2020 | | 2020 |
| Alternate solutions in mixing energy tax/subsidy and emission control policies SS Heydari, N Vestergaard IME Working Paper, 2015 | | 2015 |
| Estimating the Effect of Energy Policies on Residential Energy Consumption in Selected EU Countries S Shah-Heydari Syddansk Universitet, 2014 | | 2014 |
| Interacting effects of socio-political and environmental factors on rangeland dynamics in the Altai Mountains in Central Asia G Mountrakis, J Gibbs, L Iegorova, M Paltsyn, S Heydari | | |
