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Como encontrar uma célula em um raster com um valor específico e dar zoom nela?

TedRakel

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Eu processei alguns dados LiDAR para criar uma imagem .TIF de altura do dossel. Quando visualizo a altura do dossel no arc map, na tabela de conteúdos, diz que o intervalo é de -20 a 61. Estou curioso para saber onde estão os dados abaixo de zero, especialmente onde é -20. Existe uma maneira de consultar a imagem e encontrar lugares onde o valor do pixel está abaixo de zero e então dar zoom nessa localização no mapa?<\/P>

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Accepted answers

XanderBakker

When you have a large number of rows and columns, the classification might not visualize isolated pixels that have the negative canopy height. As an alternative you could use the Extract By Attributes tool (SA) to extract the pixels that you are interested in followed by Raster to Point (Conversion) to create a point featureclass with a point in the pixels you're interested in.

All comments

SepheFox

Well, you could symbolize your lidar using classified, and then manually change the classification so that the first class is -20-0, and then examine the raster for that class visually.

XanderBakker

StefanieSteinbach

You could also just use the tool Data management tools > Raster > Raster properties > Calculate raster attribute table to get a table for your raster. Since you are working with integers (?) this should do the trick. You can now open the table, sort the table entries by value and select all sub-zero values.

XanderBakker

I would assume that the canopy height based on LiDAR to be floating, but true if the data is integer you could do this, but still single isolated pixels will be hard to spot is the extent (rows x cols) is big. It might be displaying pyramids not showing those isolated pixels.

TedRakel

Thanks for your help.. My raster image is a TIF and it stores float values, so I couldn't use the Data management tools > Raster > Raster properties > Calculate raster attribute table tool. I was able ot use the approach which Xander gave and it helped me find the places where the canopy height was calculated to be negative.

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