Remote sensing analysis of forest disturbances

• 1. 基于随机森林和多源遥感技术的森林蓄积量空间制图方法 [P] . 中国专利： CN113870425A . 2021-12-31
• 2. 一种基于综合遥感技术的森林环境遥感监测系统 [P] . 中国专利： CN113138168A . 2021-07-20
• 3. Remote sensing analysis of forest disturbances [P] . 美国专利： US8416994B2 . 2013-04-09

  机译： 森林干扰的遥感分析

• 4. Remote Sensing Analysis of Forest Disturbances [P] . 美国专利： US2013216103A1 . 2013-08-22

  机译： 森林干扰的遥感分析

• 5. Remote Sensing Analysis of Forest Disturbances [P] . 美国专利： US2012288159A1 . 2012-11-15

  机译： 森林干扰的遥感分析

• 1. Progresses on SAR Remote Sensing of Tropical Forests:Forest Biomass Retrieval and Analysis of Changing Weather Conditions [J] . Stefano TEBALDINI, Xinwei YANG, Yu BAI, 测绘学报(英文版) . 2021,第001期
• 2. A two-scale approach for estimating forest aboveground biomass with optical remote sensing images in a subtropical forest of Nepal [J] . Upama A.Koju, Jiahua Zhang, Shashish Maharjan, 林业研究（英文版） . 2019,第006期
• 3. Estimating and mapping forest biomass in northeast China using joint forest resources inventory and remote sensing data [J] . Xinchuang Wang, Shidong Wang, Limin Dai 林业研究（英文版） . 2018,第003期
• 4. Using remotely sensed and climate data to predict the current and potential future geographic distribution of a bird at multiple scales:the case of Agelastes meleagrides,a western African forest endemic [J] . Benedictus Freeman, Daniel Jiménez-García, Benjamin Barca, 鸟类学研究：英文版 . 2019,第003期
• 5. Human expertise in the interpretation of remote sensing data: A cognitive task analysis of forest disturbance attribution [J] . White A. Raechel International journal of applied earth observation and geoinformation . 2019,第期
• 6. High-resolution mapping of time since disturbance and forest carbon flux from remote sensing and inventory data to assess harvest, fire, and beetle disturbance legacies in the Pacific Northwest [J] . Gu Huan, Williams Christopher A., Ghimire Bardan, Biogeosciences . 2016,第22期
• 7. High-resolution mapping of time since disturbance and forest carbon flux from remote sensing and inventory data to assess harvest, fire, and beetle disturbance legacies in the Pacific Northwest [J] . Gu Huan, Williams Christopher A., Ghimire Bardan, Biogeosciences . 2016,第22期
• 8. CHANGE-DETECTION IN WESTERN KENYA - THE DOCUMENTATION OF FRAGMENTATION AND DISTURBANCE FOR KAKAMEGA FOREST AND ASSOCIATED FOREST AREAS BY MEANS OF REMOTELY-SENSED IMAGERY [C] . T. Lung, G. Schaab International Society for Photogrammetry and Remote Sensing Congress . 2009
• 9. Characterizing forest disturbance dynamics in the humid tropics using optical and Lidar remotely sensed data sets. [D] . Tyukavina, Alexandra. 2015
• 10. A framework for estimating forest disturbance intensity from successive remotely sensed biomass maps: moving beyond average biomass loss estimates [O] . T. C. Hill, C. M. Ryan, M. Williams 2015
• 11. High-resolution mapping of time since disturbance and forest carbon flux from remote sensing and inventory data to assess harvest, fire, and beetle disturbance legacies in the Pacific Northwest [O] . H. Gu, C. A. Williams, B. Ghimire, 2016

• 1. Using remotely sensed and climate data to predict the current and potential future geographic distribution of a bird at multiple scales: the case of Agelastes meleagrides, a western African forest endemic [J] . Benedictus Freeman ,Daniel Jiménez-García ,Benjamin Barca . 中国鸟类 . 2019,第003期
• 2. 大范围森林植被灾害的遥感监测与空间分析 [C] . 朱俊凤 ,钱峻屏 . DCDF2011第八届数字中国发展高层论坛暨信息主管峰会 . 2011
• 3. 森林生物量遥感估测及人为干扰对森林碳储量影响研究 [A] . 田静 . 2017