Improving Aboveground Biomass Estimation in Lowland Tropical Forests across Aspect and Age Stratification: A Case Study in Xishuangbanna.
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Remote. Sens., April, 2024
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. Sens., April, 2024
Advances and challenges of carbon storage estimation in tea plantation.
Ecol. Informatics, 2024
Potential Geographical Distributions and Spatial Shifts Trends of Ecological Tea Plantations of Camellia Sinensis VAR. Assamica in Yunnan Province, China.
Proceedings of the IGARSS 2024, 2024
Multi-Semantic Markov Random Field Model for Semantic Segmentation of High-Resolution Remote Sensing Images.
Proceedings of the IGARSS 2024, 2024
Boosting Semantic Segmentation of Remote Sensing Images by Introducing Edge Extraction Network and Spectral Indices.
Remote. Sens., November, 2023
Retrieval of Three-Dimensional Green Volume in Urban Green Space from Multi-Source Remote Sensing Data.
Remote. Sens., November, 2023
Correction to: Task offloading for vehicular edge computing with edge‑cloud cooperation.
World Wide Web (WWW), March, 2023
Synergism of Multi-Modal Data for Mapping Tree Species Distribution - A Case Study from a Mountainous Forest in Southwest China.
Remote. Sens., February, 2023
Reduction in Uncertainty in Forest Aboveground Biomass Estimation Using Sentinel-2 Images: A Case Study of Pinus densata Forests in Shangri-La City, China.
Remote. Sens., February, 2023
Task offloading for vehicular edge computing with edge-cloud cooperation.
World Wide Web, 2022
Mapping Forest Type with Multi-Seasonal Landsat Data and Multiple Environmental Factors in Yunnan Province Based on Google Earth Engine.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Forest Type Mapping at a Regional Scale Based Using Multitemporal Sentinel-2 Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Quantifying spatial-temporal changes of tea plantations in complex landscapes through integrative analyses of optical and microwave imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2018