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Addressing Mangrove Protection in Australia: The Contribution of Earth Observation Technologies.

, , , , , and . IGARSS, page 6548-6551. IEEE, (2018)

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The effects of noise on model inversion for the retrieval of forest structure from SAR data., , , and . IGARSS, page 7173-7176. IEEE, (2012)Living WALES - National Level Mapping and Monitoring Though Earth Observations, Ground Data and Models., , and . IGARSS, page 6608-6610. IEEE, (2018)Quantifying the biomass of australian subtropical woodlands using SAR inversion models., and . IGARSS, page 1619-1621. IEEE, (2003)The Kyoto & Carbon Initiative - A Brief Summary., , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 3 (4-2): 551-553 (2010)Combined use of expert knowledge and earth observation data for the land cover mapping of an Italian grassland area: An EODHaM system application., , , , , , and . IGARSS, page 3065-3068. IEEE, (2015)Variations in mangrove regeneration rates under different management plans: An analysis of Landsat time-series in the Matang Mangrove Forest Reserve, Peninsular Malaysia., , , , , and . MultiTemp, page 1-3. IEEE, (2017)An assessment of TanDEM-X GlobalDEM over rural and urban areas., , , , , and . SAR, volume 9243 of SPIE Proceedings, page 92430M. SPIE, (2014)Analysis and error assessment on the use of segmentation for estimating forest structural characteristics from lidar and radar., , , , , , , and . IGARSS, page 5337-5339. IEEE, (2012)An Analysis of the Early Regeneration of Mangrove Forests using Landsat Time Series in the Matang Mangrove Forest Reserve, Peninsular Malaysia., , , , , and . Remote. Sens., 11 (7): 774 (2019)Can we predict habitat quality from space? A multi-indicator assessment based on an automated knowledge-driven system., , , , , , , , , and 3 other author(s). Int. J. Appl. Earth Obs. Geoinformation, (2015)