Found: 29
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Network complexity of rubber plantations is lower than tropical forests for soil bacteria but not for fungi.
- Published in:
- SOIL, 2022, v. 8, n. 1, p. 149, doi. 10.5194/soil-8-149-2022
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- Article
Tracking the phenology and expansion of Spartina alterniflora coastal wetland by time series MODIS and Landsat images.
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- Multimedia Tools & Applications, 2020, v. 79, n. 7/8, p. 5175, doi. 10.1007/s11042-018-6314-9
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- Article
Soil quality variation and its driving factors within tropical forests on Hainan Island, China.
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- Land Degradation & Development, 2023, v. 34, n. 11, p. 3418, doi. 10.1002/ldr.4693
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- Article
Forest conversion alters the structure and functional processes of tropical forest soil microbial communities.
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- Land Degradation & Development, 2021, v. 32, n. 2, p. 613, doi. 10.1002/ldr.3757
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- Article
Mapping forests in monsoon Asia with ALOS PALSAR 50-m mosaic images and MODIS imagery in 2010.
- Published in:
- Scientific Reports, 2016, p. 20880, doi. 10.1038/srep20880
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- Article
Species Diversity in a Naturally Managed Rubber Plantation in Hainan Island, South China.
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- Tropical Conservation Science, 2017, v. 10, p. 1, doi. 10.1177/1940082917712427
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- Article
Individual Tree Crown Segmentation and Crown Width Extraction From a Heightmap Derived From Aerial Laser Scanning Data Using a Deep Learning Framework.
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- Frontiers in Plant Science, 2022, v. 13, p. 1, doi. 10.3389/fpls.2022.914974
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- Article
Synergizing a Deep Learning and Enhanced Graph-Partitioning Algorithm for Accurate Individual Rubber Tree-Crown Segmentation from Unmanned Aerial Vehicle Light-Detection and Ranging Data.
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- Remote Sensing, 2024, v. 16, n. 15, p. 2807, doi. 10.3390/rs16152807
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- Publication type:
- Article
Comparison of Different Important Predictors and Models for Estimating Large-Scale Biomass of Rubber Plantations in Hainan Island, China.
- Published in:
- Remote Sensing, 2023, v. 15, n. 13, p. 3447, doi. 10.3390/rs15133447
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- Article
Correction: Chen et al. High-Precision Stand Age Data Facilitate the Estimation of Rubber Plantation Biomass: A Case Study of Hainan Island, China. Remote Sens. 2020, 12 , 3853.
- Published in:
- 2022
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- Publication type:
- Correction Notice
Forest Changes by Precipitation Zones in Northern China after the Three-North Shelterbelt Forest Program in China.
- Published in:
- Remote Sensing, 2021, v. 13, n. 4, p. 543, doi. 10.3390/rs13040543
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- Publication type:
- Article
High-Precision Stand Age Data Facilitate the Estimation of Rubber Plantation Biomass: A Case Study of Hainan Island, China.
- Published in:
- Remote Sensing, 2020, v. 12, n. 23, p. 3853, doi. 10.3390/rs12233853
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- Publication type:
- Article
Retrieval of Aerodynamic Parameters in Rubber Tree Forests Based on the Computer Simulation Technique and Terrestrial Laser Scanning Data.
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- Remote Sensing, 2020, v. 12, n. 8, p. 1318, doi. 10.3390/rs12081318
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- Publication type:
- Article
Rubber Tree Crown Segmentation and Property Retrieval Using Ground-Based Mobile LiDAR after Natural Disturbances.
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- Remote Sensing, 2019, v. 11, n. 8, p. 903, doi. 10.3390/rs11080903
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- Article
Integrated Analyses of PALSAR and Landsat Imagery Reveal More Agroforests in a Typical Agricultural Production Region, North China Plain.
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- Remote Sensing, 2018, v. 10, n. 9, p. 1323, doi. 10.3390/rs10091323
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- Publication type:
- Article
Identifying Establishment Year and Pre-Conversion Land Cover of Rubber Plantations on Hainan Island, China Using Landsat Data during 1987–2015.
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- Remote Sensing, 2018, v. 10, n. 8, p. 1240, doi. 10.3390/rs10081240
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- Publication type:
- Article
Assembly and maintenance of phyllosphere microbial diversity during rubber tree leaf senescence.
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- Communications Biology, 2024, v. 7, n. 1, p. 1, doi. 10.1038/s42003-024-06907-x
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- Article
Dry season temperature and rainy season precipitation significantly affect the spatiotemporal pattern of rubber plantation phenology in Yunnan province.
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- Frontiers in Plant Science, 2023, p. 1, doi. 10.3389/fpls.2023.1283315
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- Article
Streamflow Response to Climate and Land-Use Changes in a Tropical Island Basin.
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- Sustainability (2071-1050), 2023, v. 15, n. 18, p. 13941, doi. 10.3390/su151813941
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- Publication type:
- Article
Development and Implementation of Site-Specific Fertilizer Recommendation Model Based on Nutrient Balance for Rubber Plantation.
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- Agronomy Journal, 2011, v. 103, n. 2, p. 464, doi. 10.2134/agronj2010.0244
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- Article
Retrieving leaf area index of rubber plantation in Hainan Island using empirical and neural network models with Landsat images.
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- Journal of Applied Remote Sensing, 2023, v. 17, n. 1, p. 14503, doi. 10.1117/1.JRS.17.014503
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- Publication type:
- Article
Individual tree crown segmentation based on aerial image using superpixel and topological features.
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- Journal of Applied Remote Sensing, 2020, v. 14, n. 2, p. 22210, doi. 10.1117/1.JRS.14.022210
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- Article
Main drivers of plant diversity patterns of rubber plantations in the Greater Mekong Subregion.
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- Biogeosciences, 2022, v. 19, n. 7, p. 1995, doi. 10.5194/bg-19-1995-2022
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- Article
Phyllosphere fungal communities of rubber trees exhibited biogeographical patterns, but not bacteria.
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- Environmental Microbiology, 2022, v. 24, n. 8, p. 3777, doi. 10.1111/1462-2920.15894
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- Article
Gainers and losers of surface and terrestrial water resources in China during 1989–2016.
- Published in:
- Nature Communications, 2020, v. 11, n. 1, p. 1, doi. 10.1038/s41467-020-17103-w
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- Article
Utilizing Multi-Source Data and Cloud Computing Platform to Map Short-Rotation Eucalyptus Plantations Distribution and Stand Age in Hainan Island.
- Published in:
- Forests (19994907), 2024, v. 15, n. 6, p. 925, doi. 10.3390/f15060925
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- Article
Individual Tree AGB Estimation of Malania oleifera Based on UAV-RGB Imagery and Mask R-CNN.
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- Forests (19994907), 2023, v. 14, n. 7, p. 1493, doi. 10.3390/f14071493
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- Publication type:
- Article
Tropical Forest Disturbance Monitoring Based on Multi-Source Time Series Satellite Images and the LandTrendr Algorithm.
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- Forests (19994907), 2022, v. 13, n. 12, p. 2038, doi. 10.3390/f13122038
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- Publication type:
- Article
Individual Rubber Tree Segmentation Based on Ground-Based LiDAR Data and Faster R-CNN of Deep Learning.
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- Forests (19994907), 2019, v. 10, n. 9, p. 793, doi. 10.3390/f10090793
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- Publication type:
- Article