机构

• 地理科学与资源研究所 [8]
• 昆明植物研究所 [3]
• 成都山地灾害与环境研... [2]
• 东北地理与农业生态研... [1]

采集方式

• OAI收割 [14]

内容类型

• 期刊论文 [12]
• SCI/SSCI论文 [1]
• 会议论文 [1]

发表日期

• 2023 [1]
• 2020 [1]
• 2018 [6]
• 2016 [2]
• 2015 [1]
• 2014 [2]
• 更多

学科主题

• Environmen... [1]
• Forestry [1]

筛选

浏览/检索结果: 共14条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Comparative Analysis of Remote Sensing and Geo-Statistical Techniques to Quantify Forest Biomass 期刊论文  OAI收割 FORESTS, 2023, 卷号: 14, 期号: 2 作者:  Ahmad, Naveed;  Ullah, Saleem;  Zhao, Na;  Mumtaz, Faisal;  Ali, Asad   |  收藏  |  浏览/下载：12/0  |  提交时间：2023/04/06 REDD plus  Sentinel-2  above-ground biomass  carbon sequestration  climate change  forest degradation   Exploring perspectives in assessing the quality of governance of the Reducing Emissions from Deforestation and Forest Degradation (REDD plus ) pilot project in Cambodia: Use of Q Methodology 期刊论文  OAI收割 JOURNAL OF MOUNTAIN SCIENCE, 2020, 卷号: 17, 期号: 1, 页码: 95-116 作者:  Nhem, Sareth;  Lee, Young-jin   |  收藏  |  浏览/下载：11/0  |  提交时间：2020/11/11 REDD plus  Governance quality  Indicator  Q-Methodology  Deforestation  Cambodia   Detecting and mapping annual newly-burned plots (NBP) of swiddening using historical Landsat data in Montane Mainland Southeast Asia (MMSEA) during 1988-2016 期刊论文  OAI收割 JOURNAL OF GEOGRAPHICAL SCIENCES, 2018, 卷号: 28, 期号: 9, 页码: 1307-1328 作者:  Li Peng;  Feng Zhiming;  Xiao Chiwei;  Khampheng, Boudmyxay   |  收藏  |  浏览/下载：53/0  |  提交时间：2019/05/23 swidden agriculture  phenology  newly-burned plots (NBP)  Landsat  Montane Mainland Southeast Asia (MMSEA)   Detecting and mapping annual newly-burned plots (NBP) of swiddening using historical Landsat data in Montane Mainland Southeast Asia (MMSEA) during 1988-2016 期刊论文  OAI收割 JOURNAL OF GEOGRAPHICAL SCIENCES, 2018, 卷号: 28, 期号: 9, 页码: 1307-1328 作者:  Li Peng;  Feng Zhiming;  Xiao Chiwei;  Khampheng, Boudmyxay;  Liu Yu   |  收藏  |  浏览/下载：7/0  |  提交时间：2019/05/23 swidden agriculture  phenology  newly-burned plots (NBP)  Landsat  Montane Mainland Southeast Asia (MMSEA)   Detecting and mapping annual newly-burned plots (NBP) of swiddening using historical Landsat data in Montane Mainland Southeast Asia (MMSEA) during 1988-2016 期刊论文  OAI收割 JOURNAL OF GEOGRAPHICAL SCIENCES, 2018, 卷号: 28, 期号: 9, 页码: 1307-1328 作者:  Li Peng   |  收藏  |  浏览/下载：5/0  |  提交时间：2019/05/23 swidden agriculture  phenology  newly-burned plots (NBP)  Landsat  Montane Mainland Southeast Asia (MMSEA)   Estimation of Forest Above-Ground Biomass by Geographically Weighted Regression and Machine Learning with Sentinel Imagery 期刊论文  OAI收割 Forests, 2018, 卷号: 9, 期号: 10 作者:  L. Chen, C. Y. Ren, B. Zhang, Z. M. Wang and Y. B. Xi   |  收藏  |  浏览/下载：26/0  |  提交时间：2019/12/02 Detecting and mapping annual newly-burned plots (NBP) of swiddening using historical Landsat data in Montane Mainland Southeast Asia (MMSEA) during 1988–2016 期刊论文  OAI收割 Journal of Geographical Sciences, 2018, 卷号: 28, 期号: 9, 页码: 1307 作者:  Li Peng;  Feng Zhiming;  Xiao Chiwei;  Boudmyxay Khampheng;  Liu Yu   |  收藏  |  浏览/下载：38/0  |  提交时间：2020/03/23 Detecting and mapping annual newly-burned plots (NBP) of swiddening using historical Landsat data in Montane Mainland Southeast Asia (MMSEA) during 1988–2016 期刊论文  OAI收割 Journal of Geographical Sciences, 2018, 卷号: 28, 期号: 9, 页码: 1307 作者:  Li Peng;  Feng Zhiming;  Xiao Chiwei;  Boudmyxay Khampheng;  Liu Yu   |  收藏  |  浏览/下载：1/0  |  提交时间：2020/03/23 Can Community Members Identify Tropical Tree Species for REDD plus Carbon and Biodiversity Measurements? 期刊论文  OAI收割 PLOS ONE, 2016, 卷号: 11, 期号: 11 作者:  Zhao, Mingxu;  Brofeldt, Soren;  Li, Qiaohong;  Xu, Jianchu;  Danielsen, Finn 收藏  |  浏览/下载：35/0  |  提交时间：2017/01/05 Multi-temporal forest cover dynamics in Kashmir Himalayan region for assessing deforestation and forest degradation in the context of REDD+ policy 期刊论文  OAI收割 Journal of Mountain Science, 2016, 卷号: 13, 期号: 8, 页码: 1431-1441 作者:  Akhlaq Amin WANI;  Pawan Kumar JOSHI;  Ombir SINGH;  Sumera SHAFI 收藏  |  浏览/下载：46/0  |  提交时间：2016/07/20 Deforestation  Degradation  Coniferous forests  Carbon emission  Himalaya