MODIS Leaf Area Index estimates for Alaska: 2002

The MODIS Leaf Area Index (LAI) Product is a global product produced every 8 days. The Leaf Area Index is estimated by a radiative transfer model assuming a given distribution of biome types within each pixel. The LAI Product was evaluated for the period of May 2002 to September 2002. The temporal p...

Full description

Bibliographic Details
Main Authors: Verbyla, Dave L., Bonanza Creek LTER
Format: Dataset
Language:English
Published: Environmental Data Initiative 2018
Subjects:
Online Access:https://dx.doi.org/10.6073/pasta/12fe8efdd6fa0addd97087e90c7d98cd
https://portal.edirepository.org/nis/mapbrowse?packageid=knb-lter-bnz.6.20
Description
Summary:The MODIS Leaf Area Index (LAI) Product is a global product produced every 8 days. The Leaf Area Index is estimated by a radiative transfer model assuming a given distribution of biome types within each pixel. The LAI Product was evaluated for the period of May 2002 to September 2002. The temporal pattern of spring greenup and fall senescence appeared reasonable across a large latitudinal transect from the Kenai Peninsula to the Arctic Coastal Plain. The temporal pattern also appeared reasonable across an elevational transect from Bonanza Creek Experimental Forest to Caribou Poker Creek Research Watershed to Eagle Summit. The positional accuracy and spatial pattern LAI was judged excellent by comparing the M2002 maximum LAI for the Survey Line Burn with a Landsat ETM+ image. However, there were two consistent problems with the LAI index at all spatial scales. First, a dip in maximum LAI during the green-up period most likely indicated cloud contamination of pixels. Second, the maximum 2002 LAI estimate was unrealistically high (>6.5) in many areas of Alaska. The accuracy of global estimates of leaf area and vegetation indices are suspect for high latitude areas due to several factors: 1) There is no tundra or taiga biome used in the leaf area index radiative transfer model. 2) Although a cloud-screen algorithm is applied on the front-end of processing, sub-pixel cloud contamination may occur over much of Alaska. 3) Subpixel broadleaf shrubs may lead to an overestimate of leaf area index and inflate vegetation indices.This dataset contains MOD15 leaf area index (LAI) and fraction of photosynthetically absorbed radiation (FPAR) for most of Alaska during the 2002 growing season. The data are in hdf format, with one file for each MODIS tile, for each 8-day composite period. The original quality control bits are included in each hdf file. The data are in the integerized sinusoidal projection with approzimately 1-km pixel size. The files were submitted in winzip format. The naming convention is productname.date.tile. For example: MOD15A2.A2002065.h10v02 is product MOD15A2, composite period starting at 2002065, for tile h10v02. More metadata about each file is embedded in each hdf file and can be read using any hdf browser. This dataset contains MOD15 leaf area index (LAI) and fraction of photosynthetically absorbed radiation (FPAR) for most of Alaska during the 2002 growing season. The data are in hdf format, with one file for each MODIS tile, for each 8-day composite period. The original quality control bits are included in each hdf file. The data are in the integerized sinusoidal projection with approzimately 1-km pixel size. The files were submitted in winzip format. The naming convention is productname.date.tile. For example: MOD15A2.A2002065.h10v02 is product MOD15A2, composite period starting at 2002065, for tile h10v02. More metadata about each file is embedded in each hdf file and can be read using any hdf browser.