Biomass energy inventory and mapping system
- Ohio State Univ., Columbus, OH (United States)
A four-stage biomass energy inventory and mapping system was conducted for the entire State of Ohio. The product is a set of maps and an inventory of the State of Ohio. The set of amps and an inventory of the State`s energy biomass resource are to a one kilometer grid square basis on the Universal Transverse Mercator (UTM) system. Each square kilometer is identified and mapped showing total British Thermal Unit (BTU) energy availability. Land cover percentages and BTU values are provided for each of nine biomass strata types for each one kilometer grid square. LANDSAT satellite data was used as the primary stratifier. The second stage sampling was the photointerpretation of randomly selected one kilometer grid squares that exactly corresponded to the LANDSAT one kilometer grid square classification orientation. Field sampling comprised the third stage of the energy biomass inventory system and was combined with the fourth stage sample of laboratory biomass energy analysis using a Bomb calorimeter and was then used to assign BTU values to the photointerpretation and to adjust the LANDSAT classification. The sampling error for the whole system was 3.91%.
- Research Organization:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- OSTI ID:
- 140278
- Report Number(s):
- NREL/CP-200-5768-Vol.1; CONF-9308106-Vol.1; ON: DE93010050; TRN: 93:003926-0009
- Resource Relation:
- Conference: 1. biomass conference of the Americas: energy, environment, agriculture, and industry, Burlington, VT (United States), 30 Aug - 2 Sep 1993; Other Information: PBD: [1993]; Related Information: Is Part Of First Biomass Conference of the Americas: Energy, environment, agriculture, and industry; Proceedings, Volume 1; PB: 796 p.
- Country of Publication:
- United States
- Language:
- English
Similar Records
Hierarchical probabilistic regionalization of volcanism for Sengan region in Japan using multivariate statistical techniques and geostatistical interpolation techniques
Pre-processing methods of satellite imagery for coastal wetlands studies in the southeastern United States