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Ecological environment quality assessment of Xishuangbanna rubber plantations expansion (1995–2018) based on multi-temporal Landsat imagery and RSEI Y Xiong, W Xu, S Huang, C Wu, F Dai, L Wang, N Lu, W Kou Geocarto international 37 (12), 3441-3468, 2022 | 24 | 2022 |
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Analyzing the role of spatial features when cooperating hyperspectral and LiDAR data for the tree species classification in a subtropical plantation forest area B Feng, C Zheng, W Zhang, L Wang, C Yue Journal of Applied Remote Sensing 14 (2), 022213-022213, 2020 | 19 | 2020 |
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Reduction in Uncertainty in Forest Aboveground Biomass Estimation Using Sentinel-2 Images: A Case Study of Pinus densata Forests in Shangri-La City, China L Li, B Zhou, Y Liu, Y Wu, J Tang, W Xu, L Wang, G Ou Remote Sensing 15 (3), 559, 2023 | 15 | 2023 |
Constructing hierarchical segmentation tree for feature extraction and land cover classification of high resolution MS imagery L Wang, Q Dai, Q Xu, Y Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 15 | 2015 |
A hybrid Markov random field model with multi-granularity information for semantic segmentation of remote sensing imagery C Zheng, L Wang, X Chen IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 14 | 2019 |
Guided image filtering-based pan-sharpening method: A case study of GaoFen-2 imagery Y Zheng, Q Dai, Z Tu, L Wang ISPRS International Journal of Geo-Information 6 (12), 404, 2017 | 14 | 2017 |
Assessment of spatial-temporal changes of landscape ecological risk in Xishuangbanna, China from 1990 to 2019 Y Liu, W Xu, Z Hong, L Wang, G Ou, N Lu Sustainability 14 (17), 10645, 2022 | 12 | 2022 |
The pruning phenological phase-based method for extracting tea plantations by field hyperspectral data and Landsat time series imagery W Xu, S Huang, C Wu, Y Xiong, L Wang, N Lu, W Kou Geocarto International 37 (7), 2116-2136, 2022 | 12 | 2022 |
Classifying forest types over a mountainous area in southwest China with Landsat data composites and multiple environmental factors R Li, P Fang, W Xu, L Wang, G Ou, W Zhang, X Huang Forests 13 (1), 135, 2022 | 11 | 2022 |