Band Name:  ED biomass map v1.5

Title:  ED biomass map v1.5

Description:

Lidar iniLalized ED AGB for MD counties with 0.25-­‐degree
climate,90m soil,with NLCD 2006 Forest/ Non-­‐Forest Mask

Project:  CMS

Author:  Amanda Armstrong, Naiara Pinto    E-mail:  aha@umd.edu

Data file created on:  2011/11/25

Content Type:   TIFF    Pixel Size:  30

Location/Study Area:  Maryland (Anne Arundel and Howard Counties)

Coordinates:   West Bounding Longitude: 310946   East Bounding Longitude: 380966

               North Bounding Latitude: 4360060.363   South Bounding Latitude: 4285900.363

Data Acquisition Dates/Temporal Coverage:  Unknown

NO DATA value: 0

Coordinate System: UTM    Time Zone: 18N   Datum: NAD83

Data Format: 8 bit unsigned integer

Data Units: Mg/ha

Data Scaled: No

Data Creation Method:


Refer to AGU_2011_Armstrong.pdf and NASA_2011_Armstrong.pdf for details on modeling methods.


Soil input data
included in the model was adapted from ISLSCP (1-degree) and SSURGO
(1-hectare) to match model parameters as found in Cosby and others (1984)
and the climate dataset used was also from ISLSCP (1-degree) (Turner et al
2006).
Plant physiology over the domain was gathered from U.S. Forest
Service Field Inventory and Analysis (FIA) (USDA 2000) plots
accomplished from 1990 to present within the study area. FIA plot data was
used to calculate Importance Value Indices (IVI) (Curtis and McIntosh 1951;
Kent and Coker 1994) to achieve background information on species
abundances over the domain. In addition, allometric comparisons were made
between equations found in Ter-Mikaelian and Korzhukin (1997) data per
specie and ED Model evergreen and deciduous trees to verify that growth
rate, height and biomass fell within regional tree ranges and could therefore
be considered acceptable to use as potential vegetation functional types
during initial model runs.
In order to test how input datasets improve and constrain model
estimates while moving from 1-degree to 1-hectare model resolution, we
applied an experimental design approach that is summarized below in Table
1. This poster presents the preliminary model results highlighted in yellow in
Table 1: ED Model Versions 1.0, 1.1, 1.4 and 1.5 (further versions are
pending). In Version 1.4 and 1.5, a forest/non-forest mask was applied from
National Land Cover Database (NLCD) 2006 data (Fry et al 2011). The
LiDAR initialization applied in Version 1.5 was the mean-max average tree
heights (m) at 90m resolution, constructed from a mean canopy height derived from a small
footprint LiDAR canopy height model (CHM).