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Forest Area and Structural Variable Estimation in Boreal Forest Using Suomi NPP VIIRS Data and a Sample from VHR Imagery.

, , , , , , , , and . Remote. Sens., 15 (12): 3029 (June 2023)

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Treaty enforcement services using earth observation (TESEO) theme carbon., , , , , , , , , and . IGARSS, page 1480-1482. IEEE, (2003)Errors related to the automatized satellite-based change detection of boreal forests in Finland., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2020)Separation of Coniferous Species in Boreal Forest Using Spectral and Contextual Features from Ikonos Imagery., , , , and . IGARSS, page 2141-2144. IEEE, (2006)A Hierarchical Clustering Method for Land Cover Change Detection and Identification., , , , , and . Remote. Sens., 12 (11): 1751 (2020)Improved Mapping of Tropical Forests With Optical and SAR Imagery, Part I: Forest Cover and Accuracy Assessment Using Multi-Resolution Data., , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 6 (1): 74-91 (2013)Tree height estimates in boreal forest using Gaussian process regression., , and . IGARSS, page 1757-1760. IEEE, (2016)Forest Area and Structural Variable Estimation in Boreal Forest Using Suomi NPP VIIRS Data and a Sample from VHR Imagery., , , , , , , , and . Remote. Sens., 15 (12): 3029 (June 2023)Potential of Different Optical and SAR Data in Forest and Land Cover Classification to Support REDD+ MRV., , , , , , , and . Remote. Sens., 10 (6): 942 (2018)Automatic monitoring of autumn colours using MODIS data., , , , , , , , and . IGARSS, page 1295-1298. IEEE, (2007)