topic Update layer's raster in ArcObjects SDK Questions https://community.esri.com/t5/arcobjects-sdk-questions/update-layer-s-raster/m-p/541042#M14657 <HTML><HEAD></HEAD><BODY><P>I have raster layer added to map. I need to change its raster on current extent change. So I take Raster, set its RasterProps (width, height, extent) and write PixelBlock. And after that I expect raster layer updated showing new raster.</P><P></P><P>But instead exception thrown on RasterEdit.Write. How can I update raster of raster layer to completely replace old raster data including numbers of columns and rows?</P></BODY></HTML> Mon, 16 Dec 2019 17:01:10 GMT MaxMax2 2019-12-16T17:01:10Z Update layer's raster https://community.esri.com/t5/arcobjects-sdk-questions/update-layer-s-raster/m-p/541042#M14657 <HTML><HEAD></HEAD><BODY><P>I have raster layer added to map. I need to change its raster on current extent change. So I take Raster, set its RasterProps (width, height, extent) and write PixelBlock. And after that I expect raster layer updated showing new raster.</P><P></P><P>But instead exception thrown on RasterEdit.Write. How can I update raster of raster layer to completely replace old raster data including numbers of columns and rows?</P></BODY></HTML> Mon, 16 Dec 2019 17:01:10 GMT https://community.esri.com/t5/arcobjects-sdk-questions/update-layer-s-raster/m-p/541042#M14657 MaxMax2 2019-12-16T17:01:10Z Re: Update layer's raster https://community.esri.com/t5/arcobjects-sdk-questions/update-layer-s-raster/m-p/541043#M14658 <HTML><HEAD></HEAD><BODY><P>Hi,</P><P>You can't update raster layer because it is locked. You need to remove layer from TOC, make SaveAs call and add raster back to TOC.</P><P></P><P><IMG 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" /></P></BODY></HTML> Tue, 17 Dec 2019 08:21:06 GMT https://community.esri.com/t5/arcobjects-sdk-questions/update-layer-s-raster/m-p/541043#M14658 GKmieliauskas 2019-12-17T08:21:06Z