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Selection and quality assessment of Landsat data for the North American forest dynamics forest history maps of the US

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International Journal of Digital Earth 2016年第10期9卷 963-980页

作者： Karen Schleeweis Samuel N.goward Chengquan Huang John L.Dwyer Jennifer L.Dungan Mary A.Lindsey Andrew Michaelis Khaldoun Rishmawi jeffery g.masek Forest Inventory and Analysis US Forest ServiceRocky Mountain Research StationOgdenUTUSA Department of geographical Sciences University of MarylandCollege ParkMDUSA U.S.geological Survey Earth Resources Observation and Science(EROS)Center Sioux FallsSDUSA NASA Ames Research Center Moffett FieldCAUSA Climate Program Office NOAAWashingtonDCUSA NASA Ames Research Center University Corporation Monterey BayMoffett FieldCAUSA NASA goddard Space Flight Center GreenbeltMDUSA

Using the NASA Earth Exchange platform,the North American Forest Dynamics(NAFD)project mapped forest history wall-to-wall,annually for the contiguous US(1986–2010)using the Vegetation Change Tracker *** with any effort to identify real changes in remotely sensed time-series,data gaps,shifts in seasonality,misregistration,inconsistent radiometry and cloud contamination can be sources of *** discuss the NAFD image selection and processing stream(NISPS)that was designed to minimize these sources of *** NISPS image quality assessments highlighted issues with the Landsat archive and metadata including inadequate georegistration,unreliability of the pre-2009 L5 cloud cover assessments algorithm,missing growing-season imagery and paucity of clear *** maps of Landsat 5–7 image quantities and qualities are presented that offer novel perspectives on the growing-season archive considered for this *** 150,000+Landsat images were considered for the NAFD ***,one high quality cloud-free image in each year or a total of 12,152 images would be ***,to accommodate data gaps and cloud/shadow contamination 23,338 images were *** 220 specific path-row image years no acceptable images were found resulting in data gaps in the annual national map products.

关键词： Landsat forest cover change time-series mapping forest disturbance North American forest dynamics nasa earth exchange

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Development of time series stacks of Landsat images for reconstructing forest disturbance history

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International Journal of Digital Earth 2009年第3期2卷 195-218页

作者： Chengquan Huang Samuel N.goward Jeffrey g.masek Feng gao Eric F.Vermote Nancy Thomas Karen Schleeweis Robert E.Kennedy Zhiliang Zhu jeffery C.Eidenshink John R.g.Townshend Department of geography University of Maryland2181 LeFrak HallCollege ParkMD 20742USA Code 614.4Biospheric Sciences NASA Goddard Space Flight CenterGreenbeltMD 20771USA Earth Resources Technology Inc. 10810 Guilford Rd.Annapolis JunctionMD 20701USA USDA Forest Service Pacific Northwest Research Station 3200 SW Jefferson WayCorvallisOR 97331USA U.S.geological Survey 12201 Sunrise Valley DriveRestonVA 20192USA USgS Earth Resources Observation and Science(EROS) Sioux FallsSD 57198USA

Forest dynamics is highly relevant to a broad range of earth science studies,many of which have geographic coverage ranging from regional to global *** the temporally dense Landsat acquisitions available in many regions provide a unique opportunity for understanding forest disturbance history dating back to 1972,large quantities of Landsat images will need to be analysed for studies at regional to global *** will not only require effective change detection algorithms,but also highly automated,high level preprocessing capabilities to produce images with subpixel geolocation accuracies and best achievable radiometric consistency,a status called imagery-ready-to-use(IRU).This paper describes a streamlined approach for producing IRU quality Landsat time series stacks(LTSS).This approach consists of an image selection protocol,high level preprocessing algorithms and IRU quality verification *** high level preprocessing algorithms include updated radiometric calibration and atmospheric correction for calculating surface reflectance and precision registration and orthorectification routines for improving geolocation *** automated routines have been implemented in the Landsat Ecosystem Disturbance Adaptive System(LEDAPS)designed for processing large quantities of Landsat *** characteristics of the LTSS developed using this approach are discussed.

关键词： Landsat time series stack imagery-ready-to-use LEDAPS forest change

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