DocumentCode :
2857114
Title :
Recent Developments in the Hyperspectral Environment and Resource Observer (HERO) Mission
Author :
Hollinger, A. ; Bergeron, M. ; Maskiewicz, M. ; Qian, S.E. ; Othman, H. ; Staenz, K. ; Neville, R.A. ; Goodenough, D.G.
Author_Institution :
Canadian Space Agency, St. Hubert, QC
fYear :
2006
fDate :
July 31 2006-Aug. 4 2006
Firstpage :
1620
Lastpage :
1623
Abstract :
In 1997, the Canadian Space Agency (CSA) and Canadian industry began developing enabling technologies for hyperspectral satellites. Since then, the CSA has conducted mission and payload concept studies in preparation for launch of the first Canadian hyperspectral earth observation satellite. This Canadian hyperspectral remote sensing project is now named the Hyperspectral Environment and Resource Observer (HERO) Mission. In 2005, the Preliminary System Requirement Review (PSRR) and the Phase A (Preliminary Mission Definition) were concluded. Recent developments regarding the payload include an extensive comparison of potential optical designs. The payload uses separate grating spectrometers for the visible near-infrared and short-wave infrared portions of the spectrum. The instrument covers a swath of >30 km, has a ground sampling distance of 30 m, a spectral range of 400-2500 nm, and a spectral sampling interval of 10 nm. Smile and keystone are minimized. Recent developments regarding the mission include requirements simplification, data compression studies, and hyperspectral data simulation capability. In addition, a Prototype Data Processing Chain (PDPC) has been defined for 3 key hyperspectral applications. These are: geological mapping in the arctic environment, dominant species identification for forestry, and leaf area index for estimating foliage cover as well as forecasting crop growth and yield in agriculture.
Keywords :
agriculture; geophysical techniques; remote sensing; vegetation; AD 1997; AD 2005; Canadian Space Agency; Canadian hyperspectral earth observation satellite; HERO Mission; Hyperspectral Environment and Resource Observer; Preliminary System Requirement Review; Prototype Data Processing Chain; agriculture yield; arctic environment; crop growth forecasting; data compression studies; dominant species identification; foliage cover estimation; forestry; geological mapping; grating spectrometers; hyperspectral satellites technology development; leaf area index; Aerospace industry; Artificial satellites; Gratings; Hyperspectral imaging; Hyperspectral sensors; Optical design; Payloads; Remote sensing; Sampling methods; Space technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-9510-7
Type :
conf
DOI :
10.1109/IGARSS.2006.418
Filename :
4241565
Link To Document :
بازگشت