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In remote sensing–based forest aboveground biomass (AGB) estimation research, data saturation in Landsat and radar data is well known, but how to reduce this problem for improving AGB estimation has not been fully examined. Different vegetation types have their own species composition and stand structure, thus they have different data saturation values in Landsat or radar data. Optical and radar data also have different characteristics in representing forest stand structures, thus effective use of their features may improve AGB estimation. This research examines the effects of Landsat Thematic Mapper (TM) and ALOS PALSAR L-band data and their integrations in forest AGB estimation of Zhejiang Province, China, and the roles of textural images from both datasets. The linear regression models of AGB were conducted by using (1) Landsat TM alone, (2) ALOS PALSAR data alone, (3) their combination as extra bands, and (4) their data fusion, based on non-stratification and stratification of vegetation types, respectively. The results show that (1) overall, Landsat TM data perform better than PALSAR data, but the latter can produce more accurate estimates for bamboo and shrub, and for forests with AGB values less than 60 Mg/ha; (2) the combination of TM and PALSAR data as extra bands can greatly improve AGB estimation performance, but their fusion using the modified high-pass filter resolution-merging technique cannot; (3) textures are indeed valuable in AGB estimation, especially for forests with complex stand structures such as mixed forests and pine forests with understories of broadleaf species; (4) stratification of vegetation types can improve AGB estimation performance; and (5) the results from the linear regression models are characterized by overestimation and underestimation for the smaller and larger AGB values, respectively, and thus, selecting non-linear models or non-parametric algorithms may be needed in future research. [ABSTRACT FROM AUTHOR]

Isoprene and monoterpene emissions and environmental conditions were measured over a six month period in a Lei bamboo (Phyllostachys violascens) forest in a subtropical region in China. Isoprene and monoterpene emissions were measured using a relaxed eddy accumulation (REA) system on an above-canopy tower. From July to November of 2012, isoprene contributed 99.1% of terpenoid emissions. α-pinene, constituting 0.8% of total observed terpenoid emissions, was the only monoterpene for which a significant flux was detected. Emissions of the sesquiterpenes longifolene and α-cedrene were observed at very low rates. Isoprene and α-pinene emissions exhibited strong diurnal variations, with lower emissions in the morning and late evening, and the highest emissions around noon. BVOC peak emissions typically occurred a few hours after the noon PAR peak and coincided with the daily temperature peak. This behavior can be described reasonably well by the MEGANv2.1 biogenic emission model. During the campaign (i.e., from 7 July, 2012 to 19 Jan., 2013), the mean (and maximum) emission fluxes (mg m −2 h −1 ) were 0.95 (10.32) for isoprene, 0.010 (0.176) for α pinene, 0.001 (0.063) for longifolene, and 2.6 × 10 −4 (0.009) for α-cedrene, respectively. During the winter season, when the ground was covered by organic mulch to increase soil temperature and to increase the yield of bamboo shoot, there was no evident impact on BVOC emissions. The observed seasonal variation followed the general behavior predicted by the MEGANv2.1 model, with lower emissions associated with cooler conditions, but the magnitude of the emission decrease was greater than expected indicating driving variables are missing from the model. Emission factors, representing the emission expected for a Leaf Area Index of 5 at a temperature of 30 °C and PAR of 1500 μmol m −2 s −1 , during the peak growing season for this site were 0.008 mg m −2 h −1 for α-pinene and 3.3 mg m −2 h −1 for isoprene. The isoprene emission factor is similar to the value (3.6 mg m −2 h −1 ) for this location in the MEGANv2.1 global biogenic emission model. A second bamboo plantation, containing Moso bamboo ( Phyllostachys heterocycla ), was investigated and found to have similar isoprene and monoterpene emission rates as Lei bamboo forest. The emission data obtained in this study are the first canopy-scale flux measurements reported for bamboo plantations and demonstrate the potential importance of bamboo isoprene emissions for regional ozone and organic aerosol production. [ABSTRACT FROM AUTHOR]

• Graphene-MnFe 2 O 4 hybrid was used for an efficient catalyst of ozonation decomposition. • GO doping and calcination significantly increased the concentration of surface-OH. • The generation of OH significantly improved DBP removal in 5-rGO-MFO-200/O 3 system. • The synergistic effect between rGO and MnFe 2 O 4 accelerated electron transfer. Magnetic, stable graphene-MnFe 2 O 4 hybrids were synthesized by co-precipitation method for efficient degradation of di-n-butyl phthalate (DBP) using catalytic ozonation in water. The various synthesized catalysts were systematically characterized, and the catalytic activities in catalytic ozonation system were investigated. Moreover, a detailed mechanism of catalytic ozonation by synergistic function of graphene oxide (GO) and magnetic MnFe 2 O 4 was proposed. Results showed that catalytic ozonation by 5-rGO-MFO-200 (MnFe 2 O 4 calcined at 200 °C after 5 wt% GO doped) could significant boost the DBP degradation, which illustrated by the apparent rate constant (k = 0.0058 min−1) being nearly 4.2 times than that in ozone alone (k = 0.0241 min−1). The increased activities of 5-rGO-MFO-200 for the catalytic ozonation was attributed to its rich concentration of surface hydroxyl sites (SHSC), better charge electron transfer ability, favorable lattice structure and nanoparticles diffusion in contrast to bare MnFe 2 O 4. All catalysts presented good recycling and stability in the repeated batch experiment, and the removal efficiency of DBP only decreased 3% after 5 times. The radical quenching tests verified that hydroxyl radicals (OH) was the dominant reactive oxygen species responsible for DBP degradation. Electrons cycling between Mn2+ and Mn3+ led to the decomposition of ozone to produce OH, which attacked DBP molecules to degrade into small molecular species and then further mineralized into CO 2 and H 2 O. The synergistic function between magnetic MnFe 2 O 4 and GO induced efficient ozone decomposition and more OH production. [ABSTRACT FROM AUTHOR]