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124 related items for PubMed ID: 31354780
1. Estimating the Aboveground Carbon Density of Coniferous Forests by Combining Airborne LiDAR and Allometry Models at Plot Level. Hao H, Li W, Zhao X, Chang Q, Zhao P. Front Plant Sci; 2019; 10():917. PubMed ID: 31354780 [Abstract] [Full Text] [Related]
4. A critique of general allometry-inspired models for estimating forest carbon density from airborne LiDAR. Spriggs RA, Vanderwel MC, Jones TA, Caspersen JP, Coomes DA. PLoS One; 2019; 14(4):e0215238. PubMed ID: 31002682 [Abstract] [Full Text] [Related]
5. [Estimating individual tree aboveground biomass of the mid-subtropical forest using airborne LiDAR technology]. Liu F, Tan C, Lei PF. Ying Yong Sheng Tai Xue Bao; 2014 Nov; 25(11):3229-36. PubMed ID: 25898621 [Abstract] [Full Text] [Related]
12. Tropical tree size-frequency distributions from airborne lidar. Ferraz A, Saatchi SS, Longo M, Clark DB. Ecol Appl; 2020 Oct; 30(7):e02154. PubMed ID: 32347996 [Abstract] [Full Text] [Related]
14. Airborne lidar-based estimates of tropical forest structure in complex terrain: opportunities and trade-offs for REDD+. Leitold V, Keller M, Morton DC, Cook BD, Shimabukuro YE. Carbon Balance Manag; 2015 Dec; 10(1):3. PubMed ID: 25685178 [Abstract] [Full Text] [Related]
15. A macroecological analysis of SERA derived forest heights and implications for forest volume remote sensing. Brolly M, Woodhouse IH, Niklas KJ, Hammond ST. PLoS One; 2012 Dec; 7(3):e33927. PubMed ID: 22457800 [Abstract] [Full Text] [Related]
16. Forest degradation and biomass loss along the Chocó region of Colombia. Meyer V, Saatchi S, Ferraz A, Xu L, Duque A, García M, Chave J. Carbon Balance Manag; 2019 Mar 23; 14(1):2. PubMed ID: 30904964 [Abstract] [Full Text] [Related]