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Response of Hydrothermal Conditions to the Saturation Values of Forest Aboveground Biomass Estimation by Remote Sensing in Yunnan Province, China.
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- Land (2012), 2024, v. 13, n. 9, p. 1534, doi. 10.3390/land13091534
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- Article
Assessment of Spatial-Temporal Changes of Landscape Ecological Risk in Xishuangbanna, China from 1990 to 2019.
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- Sustainability (2071-1050), 2022, v. 14, n. 17, p. 10645, doi. 10.3390/su141710645
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- Article
Climate Interprets Saturation Value Variations Better Than Soil and Topography in Estimating Oak Forest Aboveground Biomass Using Landsat 8 OLI Imagery.
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- Remote Sensing, 2024, v. 16, n. 8, p. 1338, doi. 10.3390/rs16081338
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- Article
Improving Aboveground Biomass Estimation in Lowland Tropical Forests across Aspect and Age Stratification: A Case Study in Xishuangbanna.
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- Remote Sensing, 2024, v. 16, n. 7, p. 1276, doi. 10.3390/rs16071276
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- Article
Retrieval of Three-Dimensional Green Volume in Urban Green Space from Multi-Source Remote Sensing Data.
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- Remote Sensing, 2023, v. 15, n. 22, p. 5364, doi. 10.3390/rs15225364
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- Article
Estimating the Aboveground Biomass of Various Forest Types with High Heterogeneity at the Provincial Scale Based on Multi-Source Data.
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- Remote Sensing, 2023, v. 15, n. 14, p. 3550, doi. 10.3390/rs15143550
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- Article
Synergism of Multi-Modal Data for Mapping Tree Species Distribution—A Case Study from a Mountainous Forest in Southwest China.
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- Remote Sensing, 2023, v. 15, n. 4, p. 979, doi. 10.3390/rs15040979
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- Article
Reduction in Uncertainty in Forest Aboveground Biomass Estimation Using Sentinel-2 Images: A Case Study of Pinus densata Forests in Shangri-La City, China.
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- Remote Sensing, 2023, v. 15, n. 3, p. 559, doi. 10.3390/rs15030559
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- Article
Mapping Forest Aboveground Biomass with MODIS and Fengyun-3C VIRR Imageries in Yunnan Province, Southwest China Using Linear Regression, K-Nearest Neighbor and Random Forest.
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- Remote Sensing, 2022, v. 14, n. 21, p. 5456, doi. 10.3390/rs14215456
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- Article
Enhancing Aboveground Biomass Estimation for Three Pinus Forests in Yunnan, SW China, Using Landsat 8.
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- Remote Sensing, 2022, v. 14, n. 18, p. N.PAG, doi. 10.3390/rs14184589
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- Article
Improving Forest Aboveground Biomass Estimation of Pinus densata Forest in Yunnan of Southwest China by Spatial Regression using Landsat 8 Images.
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- Remote Sensing, 2019, v. 11, n. 23, p. 2750, doi. 10.3390/rs11232750
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- Article
Improving Aboveground Biomass Estimation of Pinus densata Forests in Yunnan Using Landsat 8 Imagery by Incorporating Age Dummy Variable and Method Comparison.
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- Remote Sensing, 2019, v. 11, n. 7, p. 738, doi. 10.3390/rs11070738
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- Article
Application of GM (1,1) to predict the dynamics of stand carbon storage in Pinus Kesiya var. langbianensis natural forests.
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- Frontiers in Forests & Global Change, 2024, p. 1, doi. 10.3389/ffgc.2024.1298804
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- Article
Interacting Sentinel-2A, Sentinel 1A, and GF-2 Imagery to Improve the Accuracy of Forest Aboveground Biomass Estimation in a Dry-Hot Valley.
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- Forests (19994907), 2024, v. 15, n. 4, p. 731, doi. 10.3390/f15040731
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- Article
Remote Sensing Estimation of Forest Carbon Stock Based on Machine Learning Algorithms.
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- Forests (19994907), 2024, v. 15, n. 4, p. 681, doi. 10.3390/f15040681
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- Article
Response of Individual-Tree Aboveground Biomass to Spatial Effects in Pinus kesiya var. langbianensis Forests by Stand Origin and Tree Size.
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- Forests (19994907), 2024, v. 15, n. 2, p. 349, doi. 10.3390/f15020349
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- Article
A Compatible Estimation Method for Biomass Factors Based on Allometric Relationship: A Case Study on Pinus densata Natural Forest in Yunnan Province of Southwest China.
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- Forests (19994907), 2024, v. 15, n. 1, p. 26, doi. 10.3390/f15010026
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- Article
Comparing Algorithms for Estimation of Aboveground Biomass in Pinus yunnanensis.
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- Forests (19994907), 2023, v. 14, n. 9, p. 1742, doi. 10.3390/f14091742
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- Article
Spatial Effects Analysis on Individual-Tree Aboveground Biomass in a Tropical Pinus kesiya var. langbianensis Natural Forest in Yunnan, Southwestern China.
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- Forests (19994907), 2023, v. 14, n. 6, p. 1177, doi. 10.3390/f14061177
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- Article
Error Analysis on the Five Stand Biomass Growth Estimation Methods for a Sub-Alpine Natural Pine Forest in Yunnan, Southwestern China.
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- Forests (19994907), 2022, v. 13, n. 10, p. 1637, doi. 10.3390/f13101637
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- Article
A Method for Estimating Forest Aboveground Biomass at the Plot Scale Combining the Horizontal Distribution Model of Biomass and Sampling Technique.
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- Forests (19994907), 2022, v. 13, n. 10, p. 1612, doi. 10.3390/f13101612
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- Article
Classifying Forest Types over a Mountainous Area in Southwest China with Landsat Data Composites and Multiple Environmental Factors.
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- Forests (19994907), 2022, v. 13, n. 1, p. 135, doi. 10.3390/f13010135
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- Article
Application of a Panel Data Quantile-Regression Model to the Dynamics of Carbon Sequestration in Pinus kesiya var. langbianensis Natural Forests.
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- Forests (19994907), 2022, v. 13, n. 1, p. 12, doi. 10.3390/f13010012
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- Article
The relationship between species richness and aboveground biomass in a primary Pinus kesiya forest of Yunnan, southwestern China.
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- PLoS ONE, 2018, v. 13, n. 1, p. 1, doi. 10.1371/journal.pone.0191140
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- Article