成果/Result
- Estimating montane forest above-ground biomass in the upper reaches of the Heihe River Basin using Landsat-TM data被引量:42收藏
- 作者:Tian, Xin[1,2] Li, Zengyuan[1] Su, Zhongbo[2] Chen, Erxue[1] van der Tol, Christiaan[2]
- 机构:Chinese Acad Forestry;Univ Twente;Chinese Acad Sci;Fuzhou Univ;Univ Technol Sydney
- 来源:INTERNATIONAL JOURNAL OF REMOTE SENSING 2014
- 关键词:Estimation - Landforms - Linear regression - Mean square error - Nearest neighbor search - Remote sensing - Water resources - Watersheds
- Precious Tree Pest Identification with Improved Instance Segmentation Model in Real Complex Natural Environments被引量:5收藏
- 作者:Guo, Ying[1] Gao, Junjia[1] Wang, Xuefeng[1] Jia, Hongyan[2] Wang, Yanan[2]
- 机构:Chinese Acad Forestry;Chinese Acad Forestry;Forestry Res Inst Chifeng
- 来源:FORESTS 2022
- 关键词:precious trees control small pest segmentation instance segmentation Mask RCNN Swin Transformer
- A new method for estimating forest stand carbon stock: Segmentation and modeling based on forest aboveground imagery被引量:2收藏
- 作者:Chen, Xingjing[1,2] Guo, Ying[1,2] Chen, Zhulin[1,2] Luo, Xin[1,2] Wang, Peng[1,2]
- 机构:Chinese Acad Forestry;Natl Forestry & Grassland Adm
- 来源:ECOLOGICAL INDICATORS 2024
- 关键词:Aboveground imagery Fully convolutional networks Weight least squares methods Stand Carbon Stock
- Mapping Coniferous Forest Distribution in a Semi-Arid Area Based on Multi-Classifier Fusion and Google Earth Engine Combining Gaofen-1 and Sentinel-1 Data: A Case Study in Northwestern Liaoning, China被引量:1收藏
- 作者:Liu, Lizhi[1,2,3] Zhang, Qiuliang[2] Guo, Ying[1,3] Li, Yu[4] Wang, Bing[2]
- 机构:Chinese Acad Forestry;Inner Mongolia Agr Univ;Chinese Acad Forestry;Liaoning Tech Univ
- 来源:FORESTS 2024
- 关键词:coniferous forests semi-arid multi-classifier fusion Gaofen-1 Sentinel-1 Google Earth Engine
- A lightweight Deeplab V3+network integrating deep transitive transfer learning and attention mechanism for burned area identification被引量:0收藏
- 作者:Liu, Lizhi[1,2,3] Guo, Ying[2,3] Chen, Erxue[2,3] Li, Zengyuan[2,3] Li, Yu[4]
- 机构:Tarim Univ;Chinese Acad Forestry;Chinese Acad Forestry;Liaoning Tech Univ;Inner Mongolia Agr Univ
- 来源:SCIENTIFIC REPORTS 2025