A Review of Satellite Data Algorithms for Studies of the Land Surface

Autor:	H.-J. Bolle, Piers J. Sellers, S.I. Rasool
Rok vydání:	1990
Předmět:	Operational system Earth's energy budget Atmospheric Science Satellite observation Data processing Meteorology Satellite data Environmental science Satellite Algorithm Heat flow Surface energy balance Remote sensing
Zdroj:	Bulletin of the American Meteorological Society. 71:1429-1447
ISSN:	1520-0477 0003-0007
DOI:	10.1175/1520-0477(1990)071<1429:arosda>2.0.co;2
Popis:	The major groups of algorithms used to convert satellite data into land-surface climatological parameters are reviewed. The International Satellite Land-Surface Climatology Project (ISLSCP) and the Satellite Data Algorithm Workshop are described. ISLSCP was initiated to address the research problems associated with interpretation and utilization of satellite data over the earth's land surface. The proceedings of a workshop sponsored by ISLSCP to investigate the state and potential of satellite sensor output into surface parameters is presented. The current status of algorithms used to determine land-surface parameters is assessed; the methodologies that ultilize these parameters and other data for estimates of the surface energy balance are reviewed; and a preliminary assessment of the effort required to construct an operational system for the routine processing of satellite data into land-surface parameters is made.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::27237feb25dfdd9faeb4a3ba536fc0a3 https://doi.org/10.1175/1520-0477(1990)071<1429:arosda>2.0.co Zobrazit plný text záznamu