Improving Plot-Level Model of Forest Biomass: A Combined Approach Using Machine Learning with Spatial Statistics.
- Published in:
- Forests (19994907), 2021, v. 12, n. 12, p. 1663, doi. 10.3390/f12121663
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- Article
Works matching AU Zuo, Shudi
Results: 16
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Improving maps of forest aboveground biomass: A combined approach using machine learning with a spatial statistical model.
- Published in:
- Biogeosciences Discussions, 2020, p. 1, doi. 10.5194/bg-2020-36
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- Publication type:
- Article
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Improving non-representative-sample prediction of forest aboveground biomass maps: A combined machine learning and spatial statistical approach.
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- Biogeosciences Discussions, 2019, p. 1, doi. 10.5194/bg-2019-202
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- Publication type:
- Article
4
The Spatiotemporal Pattern of the Aerosol Optical Depth (AOD) on the Canopies of Various Forest Types in the Exurban National Park: A Case in Ningbo City, Eastern China.
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- Advances in Meteorology, 2019, p. 1, doi. 10.1155/2019/4942827
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- Publication type:
- Article
5
Geographical modeling of spatial interaction between human activity and forest connectivity in an urban landscape of southeast China.
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- Landscape Ecology, 2014, v. 29, n. 10, p. 1741, doi. 10.1007/s10980-014-0094-z
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- Article
6
Statistical Approaches for Forecasting Primary Air Pollutants: A Review.
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- Atmosphere, 2021, v. 12, n. 6, p. 686, doi. 10.3390/atmos12060686
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- Publication type:
- Article
7
Mapping sources of atmospheric pollution: integrating spatial and cluster bibliometrics.
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- Environmental Reviews, 2020, v. 28, n. 1, p. 1, doi. 10.1139/er-2018-0105
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- Publication type:
- Article
8
A machine learning and geostatistical hybrid method to improve spatial prediction accuracy of soil potentially toxic elements.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 2, p. 681, doi. 10.1007/s00477-022-02284-1
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- Article
9
The Optimization Strategy of the Existing Urban Green Space Soil Monitoring System in Shanghai, China.
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- International Journal of Environmental Research & Public Health, 2021, v. 18, n. 9, p. 4820, doi. 10.3390/ijerph18094820
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- Article
10
Analysis of Heavy Metal Sources in the Soil of Riverbanks Across an Urbanization Gradient.
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- International Journal of Environmental Research & Public Health, 2018, v. 15, n. 10, p. 2175, doi. 10.3390/ijerph15102175
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- Article
11
Scaling up of biomass simulation for Eucalyptus plantations based on landsenses ecology.
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- International Journal of Sustainable Development & World Ecology, 2017, v. 24, n. 2, p. 135, doi. 10.1080/13504509.2016.1228017
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- Publication type:
- Article
12
Impact of human activities on plant species composition and vegetation coverage in the wetlands of Napahai, Shangri-La County, Yunnan Province, China.
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- International Journal of Sustainable Development & World Ecology, 2015, v. 22, n. 2, p. 127, doi. 10.1080/13504509.2014.923540
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- Publication type:
- Article
13
An Approach Integrating Multi-Source Data with LandTrendr Algorithm for Refining Forest Recovery Detection.
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- Remote Sensing, 2023, v. 15, n. 10, p. 2667, doi. 10.3390/rs15102667
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- Publication type:
- Article
14
Investigating the Uncertainties Propagation Analysis of CO 2 Emissions Gridded Maps at the Urban Scale: A Case Study of Jinjiang City, China.
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- Remote Sensing, 2020, v. 12, n. 23, p. 3932, doi. 10.3390/rs12233932
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- Article
15
Determining the Mechanisms that Influence the Surface Temperature of Urban Forest Canopies by Combining Remote Sensing Methods, Ground Observations, and Spatial Statistical Models.
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- Remote Sensing, 2018, v. 10, n. 11, p. 1814, doi. 10.3390/rs10111814
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- Publication type:
- Article
16
Individual and Interactive Influences of Anthropogenic and Ecological Factors on Forest PM2.5 Concentrations at an Urban Scale.
- Published in:
- Remote Sensing, 2018, v. 10, n. 4, p. 521, doi. 10.3390/rs10040521
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- Publication type:
- Article