PPT-Studying vegetation dynamics under disturbance using MODIS

Author : reese | Published Date : 2023-11-24

products Ana Bastos Laboratoire des Sciences du Climat et de lEnvironement LSCE CEACNRSUSVQ France 4 th SALGEE workshop Disturbance detection 02092015 Ana Bastos

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Studying vegetation dynamics under disturbance using MODIS: Transcript


products Ana Bastos Laboratoire des Sciences du Climat et de lEnvironement LSCE CEACNRSUSVQ France 4 th SALGEE workshop Disturbance detection 02092015 Ana Bastos 2. 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 Chem. /. EnKF. Jianyu(Richard) Liang. Yongsheng. Chen. 6th . EnKF. Workshop. York University. . +. METEOSAT-7/GOES-11 combined Dry Air/SAL Product (source: University of Wisconsin-CIMSS). 00Z25. th. by Nick Ludolph. Winter Ecology – Spring 2010. Mountain Research Station, University of Colorado, Boulder. Introduction. Initial Research Idea – Repeat Photography. Why it did not work. My Next Idea – Transects. 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. st. Century: Implications for Climate Policy and Carbon Management. To . better understand how carbon responses . to changes in climate and other drivers in . Alaska might influence national climate and carbon management policies, the U.S. Geological Survey, in collaboration with the . Continuous Fields 2015. University of Maryland. Charlene . DiMiceli. , John Townshend, Rob . Sohlberg. , Mark Carroll, Do-. Hyung. Kim, Maureen Kelly. Vegetation Continuous Fields. Version 5.1 Improvements. . F. red Huemmrich, UMBC/GSFC . John Gamon, University of Alberta. We want to develop methods to use optical signals to estimate ecosystem carbon exchange. Examine the relationships between ecosystem production (GEP) and spectral reflectance. Poulter. Modeling Vegetation Dynamics with LPJ-GUESS. Stand to Global Scale Modeling Approaches. Stand-scale models. Gap (i.e., ZELIG ). Growth-Yield (i.e. FVS). Landscape models. Mechanistic - (FireBGCv2). Rajat Bindlish. 1. , Thomas Jackson. 1. , Tianjie Zhao. 1. , Michael Cosh. 1. , Steven Chan. 2. , Peggy O'Neill. 3. , Eni Njoku. 2. , Andreas Colliander. 2. , Yann H. Kerr. 4. , Jiancheng Shi. 5. 1. USDA ARS Hydrology and Remote Sensing Lab, Beltsville, MD. Development of analytical tools for classification and assessment of riparian ecosystems in northwest Oregon   Steve Acker Northwest Oregon Ecology Group Willamette National Forest Previous riparian vegetation classifications for NW Oregon Abstract: Dryland river basins frequently support both irrigated agriculture and riparian vegetation and remote sensing methods are needed to monitor water use by both crops and natural vegetation in irrigation districts. We developed an algorithm for estimating actual evapotranspiration ( by Nick Ludolph. Winter Ecology – Spring 2010. Mountain Research Station, University of Colorado, Boulder. Introduction. Initial Research Idea – Repeat Photography. Why it did not work. My Next Idea – Transects. Photosynthetically. . Active Radiation Products (FPAR) Products – An Update. Ranga B. Myneni. Department of Earth & Environment. Boston University. C6 Science Test Results (Credit: Drs. . Sarkar. Synthesis of impacts, interactions and responses . Foster, A.C., Wang, J.A., Frost, G.V., . et al.. . Environmental Research Letters . 17, 113001. (2022). . 10.1088/1748-9326/ac98d7. We synthesized the major disturbances within the North American Arctic and Boreal Region (ABR), focusing on temporal dynamics of vegetation loss and recovery, disturbance interactions, and major unknowns and data needs..

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