Longer Growing Season Assemble retrospective NDVI data with date-stamped values at finest spatial and temporal scale practical for the entire LCC domain. Develop retrospective datasets of greenness and progression at finest spatial and temporal scales practical. Earlier Ongoing updates and dissemination of gridded NDVI data. Establish calibration algorithms among AVHRR platforms and MODIS at 1-km resolution to facilitate transition to the newer MODIS technology. ungulates, lemmings + voles, Review literature and extract, or explicitly project, future squirrels, hares, porcupines, grizzly changes in growing season length and validate with bears, weasels, foxes + wolves ongoing data collections. Develop/compile a uniform Arctic LCC wide landcover class map with quantitatively estimated accuracy; Establish relationships among existing landcover maps (i.e. pixel-level correspondence and proportional Prolonged plant senescence composition of land blocks of relevant size. Develop/evaluate the ability to upscale 30m landcover class pixels to larger remote sensing pixels. Establish relationships between landcover classes and NDVI dynamics at finest spatial and temporal scales practical. Vegetation Change Increased Vegetation Biomass ungulates, lemmings +voles, All items in Section III relevant to this issue. squirrels, hares, porcupines, grizzly Test for trends in date of maximum NDVI at the finest bears, weasels, foxes + wolves spatial and temporal scales practical, by landcover class.
Longer Growing Season Earlier ungulates, lemmings + voles, squirrels, hares, porcupines, grizzly bears, weasels, foxes + wolves Assemble retrospective NDVI data with date-stamped values at finest spatial and temporal scale practical for the entire LCC domain. Develop retrospective datasets of greenness and progression at finest spatial and temporal scales practical. Ongoing updates and dissemination of gridded NDVI data. Establish calibration algorithms among AVHRR platforms and MODIS at 1-km resolution to facilitate transition to the newer MODIS technology. Review literature and extract, or explicitly project, future changes in growing season length and validate with ongoing data collections. Develop/compile a uniform Arctic LCC wide landcover class map with quantitatively estimated accuracy; Establish relationships among existing landcover maps (i.e. pixel-level correspondence and proportional composition of land blocks of relevant size. Develop/evaluate the ability to upscale 30m landcover class pixels to larger remote sensing pixels. Establish relationships between landcover classes and NDVI dynamics at finest spatial and temporal scales practical. Prolonged plant senescence Vegetation Change Increased Vegetation Biomass ungulates, lemmings +voles, squirrels, hares, porcupines, grizzly bears, weasels, foxes + wolves All items in Section III relevant to this issue. Test for trends in date of maximum NDVI at the finest spatial and temporal scales practical, by landcover class.
Species%20and%20Habitats%20Work%20Group%20Report_July_2012_Review.docx