PPT-A LandTrendr Multispectral Ensemble for Forest Disturbance Detection

Author : phoebe-click | Published Date : 2018-09-21

Warren B Cohen Zhiqiang Yang Sean P Healey Robert E Kennedy Noel Gorelick Landsat Science Team meeting 1113 July 2017 USGS EROS Center Sioux Falls SD Context Explosive

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A LandTrendr Multispectral Ensemble for Forest Disturbance Detection: Transcript

Warren B Cohen Zhiqiang Yang Sean P Healey Robert E Kennedy Noel Gorelick Landsat Science Team meeting 1113 July 2017 USGS EROS Center Sioux Falls SD Context Explosive growth of Landsat time series for mapping forest disturbance. 00 July 2007 57528MDS21 for 30 MHz to 1000 MHz 57528EZ24 for 1 MHz to 1000 MHz for improved reproducibility of distur bance 64257eld strength measurements Calibrated in accordance with CISPR Publ 1613 57528MDS21 with ball bearing rollers for continuo Marieta Bialek. Vegetation Ecology 2013. Mountain Research Station. University of Colorado at Boulder. Alpine Vegetation . (above 3360m). Controls . (USNVC). Snowmelt. Wind. Permafrost. Short Growing Season. Boosting, Bagging, Random Forests and More. Yisong Yue. Supervised Learning. Goal:. learn predictor h(x) . High accuracy (low error). Using training data {(x. 1. ,y. 1. ),…,(. x. n. ,y. n. )}. Person. Simon . Lang, . Martin . Leutbecher, Massimo Bonavita. Initialization of the EPS. The ensemble of data assimilations (EDA) is used to estimate analysis uncertainty for the ensemble.. In the current configuration the EDA perturbations are re-. Disturbance effects. Physiology. Stress. Energetics. Body condition. Behavior. Movement. Habitat use. Fitness. Mortality. Reproductive success. Genetics. Effects of Disturbance. Fitness Effects. No Fitness Effects. Ludmila. I . Kuncheva. School of Computer Science. Bangor University, UK. Publications (580). Citations (4594). “CLASSIFIER ENSEMBLE DIVERSITY”. Search on 10 Sep 2014. MULTIPLE CLASSIFIER SYSTEMS 30. and post-processing . team reports to NGGPS. Tom Hamill. ESRL, Physical Sciences Division. tom.hamill@noaa.gov. (303) 497-3060. 1. Proposed team . members. Ensemble system development. Post-processing. Applying data assimilation for rapid forecast updates in global weather models. Luke E. Madaus --- Greg Hakim; Cliff Mass. University of Washington. In Revision -- QJRMS. Outline. Brief introduction. Molly Smith, Ryan Torn, . Kristen . Corbosiero. , and Philip . Pegion. NWS Focal Points: . Steve . DiRienzo. and Mike . Jurewicz. . Fall 2016 CSTAR Meeting. 2 . November, . 2016. Motivation. Landfalling. Dongsheng. Luo, Chen Gong, . Renjun. Hu. , Liang . Duan. Shuai. Ma, . Niannian. Wu, . Xuelian. Lin. TeamBUAA. Problem & Challenges. Problem: . rank nodes in a heterogeneous graph based on query-independent node importance . SC.912.L.17.4. Describe changes in ecosystems resulting from seasonal variations, climate change and succession.. By Dr. Suris Soto. What Is Disturbance?. A disturbance. Is an event that changes a community. Earl -- 2010. 45-km outer domain. 15-km moving nest. Best Track. Ensemble Members. Relocated Nest. COAMPS-TC Forecast Ensemble. Web Page Interface. http://www.nrlmry.navy.mil/coamps-web/web/ens?&spg=1. ABSTRACT. INTRODUCTION. DAC is a control scheme to augment the known waveform . disturbance . with the states of the system, so that it becomes . a . part of the exogenous system. . Disturbance feedback is used with . Predict how would the forest look in ten years if it were left undisturbed. . 6.2_Ecological Disturbances and Succession . SC.912.L.17.4. Describe changes in ecosystems resulting from seasonal variations, climate change and succession..

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