Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 365, P. 121556 - 121556
Published: June 26, 2024
Language: Английский
Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 365, P. 121556 - 121556
Published: June 26, 2024
Language: Английский
Earth system science data, Journal Year: 2024, Volume and Issue: 16(1), P. 387 - 419
Published: Jan. 17, 2024
Abstract. Land surface temperature (LST) is a key variable within Earth's climate system and necessary input parameter required by numerous land–atmosphere models. It can be directly retrieved from satellite thermal infrared (TIR) observations, which contain many invalid pixels mainly caused cloud contamination. To investigate the spatial temporal variations in LST China, long-term, high-quality, spatiotemporally continuous datasets (i.e., all-weather LST) are urgently needed. Fusing TIR reanalysis viable route to obtain long time-series LSTs. Among LSTs, MODIS most commonly used, few corresponding products have been reported recently. However, publicly LSTs were not available during gaps of between 2000 2002. In this study, we generated daily (four observations per day) 1 km dataset for China's landmass surrounding areas, Thermal Reanalysis Integrating Moderate-resolution Spatial-seamless (TRIMS) LST, begins on first day new millennium (1 January 2000). We used enhanced remote sensing merging (E-RTM) method generate TRIMS with being filled, had achieved original RTM method. Specifically, developed two novel approaches, i.e., random-forest-based spatiotemporal (RFSTM) approach time-sequential LST-based reconstruction (TSETR) approach, respectively, produce Terra/MODIS-based Aqua/MODIS-based gaps. also conducted thorough evaluation LST. A comparison Global Data Assimilation System (GLDAS) ERA5-Land demonstrates that has similar patterns but higher image quality, more details, no evident discontinuities. The results outside gap show consistent comparisons Advanced Along-Track Scanning Radiometer (AATSR) mean bias deviation (MBD) 0.09/0.37 K standard (SD) 1.45/1.55 K. Validation based situ at 19 ground sites indicates error (MBE) ranging −2.26 1.73 root square (RMSE) 0.80 3.68 There significant difference clear-sky cloudy conditions. For gap, it observed RFSTM TSETR perform similarly Additionally, differences Aqua Terra remain stable throughout gap. already scientific communities various applications such as soil moisture downscaling, evapotranspiration estimation, urban heat island modeling. freely conveniently https://doi.org/10.11888/Meteoro.tpdc.271252 (Zhou et al., 2021).
Language: Английский
Citations
38ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2024, Volume and Issue: 209, P. 37 - 50
Published: Feb. 5, 2024
Language: Английский
Citations
33Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 365, P. 121591 - 121591
Published: June 27, 2024
Language: Английский
Citations
18Land Use Policy, Journal Year: 2025, Volume and Issue: 151, P. 107494 - 107494
Published: Feb. 5, 2025
Language: Английский
Citations
6Small, Journal Year: 2023, Volume and Issue: 20(10)
Published: Oct. 24, 2023
Abstract Shelter forests (or shelter‐belts), while crucial for climate regulation, lack monitoring systems, e.g., Internet of Things (IoT) devices, but their abundant wind energy can potentially power these devices using the trees as mounting points. To harness energy, an omnidirectional fluid‐induced vibration triboelectric nanogenerator (OFIV‐TENG) has been developed. The device is installed on shelter forest to harvest from all directions, employing a (FIV) mechanism (fluid‐responding structure) that capture and use ranging low speeds (vortex vibration) high (galloping). rolling‐bead (TENG) efficiently minimizing wear tear. Additionally, usage double electrodes results in effective surface charge density 21.4 µC m −2 , which highest among reported TENGs. collected utilized temperature humidity monitoring, providing feedback effect regulation forests, alarming fires, wireless speed warning. In general, this work provides promising rational strategy, natural resources like supporting structures, shows broad application prospects efficient collection, warning, environmentally friendliness.
Language: Английский
Citations
24The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 944, P. 173828 - 173828
Published: June 10, 2024
Language: Английский
Citations
14Ecological Indicators, Journal Year: 2024, Volume and Issue: 158, P. 111495 - 111495
Published: Jan. 1, 2024
In the southwest karst areas of China, changes in overlying vegetation due to ecological restoration cause considerable carbon sequestration (CS). Assessing CS potential this is crucial for promoting optimization and regulation regional restoration(VR) policies. This study based on net primary productivity, maximum coverage average coverage. Using VR effectiveness index (Ej) quantitatively evaluate spatiotemporal characteristics effectiveness, quantifying pattern using photosynthetic model, clarifying main driving mechanisms CS.This results showed that more than 54.25 % studied area ecologically fragile has achieved significant (Ej ≥ 20) from 2000 2020. The spatial distribution intensity was higher northeast. Moreover, there a strong correlation between with greater densities poor natural background conditions, showing economic growth complement each other. current value cover r = 0.06 (p < 0.05) magnitude change 0.38 0.05), which indicates where greening greater. range constrained by environment areas, continuous enhancement positive feedback intervention weakening negative tended promote ground surface increased potential. provide reference long-term goal "carbon neutrality" response offset atmospheric CO2 emissions.
Language: Английский
Citations
12The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 924, P. 171579 - 171579
Published: March 8, 2024
Language: Английский
Citations
10CATENA, Journal Year: 2025, Volume and Issue: 250, P. 108754 - 108754
Published: Jan. 28, 2025
Language: Английский
Citations
1Ecological Engineering, Journal Year: 2025, Volume and Issue: 212, P. 107534 - 107534
Published: Jan. 31, 2025
Language: Английский
Citations
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