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 Jacob Anderson. Mentor: Gregory . Leptoukh. Research Objectives. Based on previous research determine the variables that most affect MODIS bias. Find which MODIS aerosol algorithm works better over coastal regions. Ocean Science Team . Break-out. MODIS Science Team Meeting. 19-22 . May . 2015, Silver Spring, . MD. May . 20. Ocean Break-out Agenda. Ocean Break-out Agenda. May . 21. A.29 . Suomi. National Polar-orbiting . . 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. Warren B. Cohen, . Zhiqiang. Yang, Sean P. Healey, Robert E. Kennedy, Noel . Gorelick. Landsat Science Team meeting, 11-13 July 2017. USGS EROS Center, Sioux Falls, SD. Context. Explosive growth of Landsat time series for mapping forest disturbance. 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 . Jack . Xiong. (NASA GSFC). and. MODIS Characterization Support Team. MODIS Science Discipline Representatives. University of Maryland University . College, Adelphi, . MD 20783 (May 17, 2011). Aqua. Terra. 1 MODIS and VIIRS Instrument Status Jack Xiong and Jim Butler Code 618.0, NASA Goddard Space Flight Center, Greenbelt, MD 20771 MODIS and VIIRS Science Team Meeting, Silver Spring, MD (June 06-10, 2016) Robert C. Levy (NASA-GSFC). robert.c.levy@nasa.gov. Shana . Mattoo. , Leigh . Munchak. . and Richard . Kleidman. . (SSAI/GSFC). Lorraine Remer. . (UMBC/JCET), . Falguni. . Patadia. (MSU/GSFC), . 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. Eric Vermote. NASA GSFC Code 619. eric.f.vermote@nasa.gov. . . . . MODIS/VIIRS Science Team Meeting, June 6-June 10, Silver Spring, MD. A Land Climate Data Record. Multi instrument/Multi sensor Science Quality Data Records used to quantify trends and changes. . Robert . Wright. Hawaiʻi. Institute of Geophysics and Planetology, Honolulu, . HI. . http://modis.higp.hawaii.edu. MODIS has detected volcanic thermal anomalies at over . 100 volcanoes since 2000. 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.. Dongdong Wang, . Shunlin. Liang. Xueyuan. Gao, Meredith Brown. University of Maryland, College Park. 1. Outline. Background. Status of MCD18 C6 and C61 products. Product assessment. Alternate retrieval algorithms.
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