Band Name:  Biomass from Random Forests

Title:  Biomass derived using Random Forests regression

Description:

Contains aboveground biomass values predicted over Anne Arundel 
and Howard counties using Random Forests

Project:  CMS

Author:  Naiara Pinto, Laura Duncanson, Anu Swatantran    E-mail:  aswatan@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: NA

Coordinate System: UTM    Time Zone: 18   Datum: NAD83

Data Format: Double Precision

Data Units: Mg/ha

Data Scaled:   No

Data Creation Method:

A Random Forests regression model was developed using the 
super stack of lidar and remote sensing variables. 
The RF object was then used to predict biomass over both counties at 30 m resolution. 

Type of random forest: regression
Number of trees: 1000
No. of variables tried at each split: 8
% Var explained: 65.73