Estimation of Trees Outside Forests using IRS High Resolution data by Object Based Image Analysis

8 citations as recorded by crossref.

1. Assessment of Trees Outside Forest (TOF) in Urban Landscape Using High-Resolution Satellite Images and Deep Learning Techniques P. Vinod et al. 10.1007/s12524-022-01646-0
2. Estimating the spatial distribution, extent and potential lignocellulosic biomass supply of Trees Outside Forests in Baden-Wuerttemberg using airborne LiDAR and OpenStreetMap data J. Maack et al. 10.1016/j.jag.2017.02.002
3. The Use of Remote Sensing Data to Estimate Land Area with Forest Vegetation Cover in the Context of Selected Forest Definitions T. Hycza et al. 10.3390/f12111489
4. Monitoring of changes in woodlots outside forests by multi-temporal Landsat imagery M. Rahman et al. 10.3832/ifor2021-010
5. Phenotypic, Geological, and Climatic Spatio-Temporal Analyses of an Exotic Grevillea robusta in the Northwestern Himalayas A. Dabral et al. 10.3390/su151612292
6. Methods for separating orchards from forest using airborne LiDAR T. Hycza & P. Kupidura 10.1007/s13595-021-01116-6
7. Automated Classification of Trees outside Forest for Supporting Operational Management in Rural Landscapes C. Bolyn et al. 10.3390/rs11101146
8. Assessment of Tree Density, Tree Cover, Species Diversity and Biomass in Semi-arid Human Dominated Landscape Using Large Area Inventory and Remote Sensing Data C. Reddy & K. Satish 10.1007/s44177-024-00066-8