Scaling between NOAA AVHRR Data and LANDSAT TM Data for Monitoring and Mapping of Wetland

[ABSTRACT] A scaling technique was investigated to extrapolate the local information on landcover type mixtures derived from high spatial resolution data (TM) to more extensive area through low spatial resolution but wide coverage data (AVHRR). Over a combined set of TM and AVHRR, first, landcover types of the area was classified into three categories including vegetation, water and others (non-vegetation) with TM data, and next AVHRR image density was statistically regressed with category mixture conditions derived from TM pixels in each AVHRR pixel. Based on the regression model (scaling model) local information on the category mixture was estimated only from AVHRR data over more extensive area. The method is applied to the wetland type categorization and mapping with AVHRR where landcover is required to be characterized by the complex mixtures of vegetation, water and soil.

https://opac.ll.chiba-u.jp/da/curator/900022418/

https://opac.ll.chiba-u.jp/da/curator/900022418/C-24_19.pdf

Chiba University. Center for Environmental Remote Sensing

千葉大学環境リモートセンシング研究センター

会議発表用資料

BA46430136

Proceedings of the CEReS international symposium = CEReS国際シンポジウム資料集

1

131

136

1995-08-29

publisher

環境リモートセンシング研究センター「CEReSシンポジウム資料集」