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Jan
4
comment Classify forest with NDVI from Landsat 8 and 7
Thanks for the contribution Diogo. It would be helpful to include a brief description of the acronyms you use and why you are pleased with the results.
Jan
4
asked Are PDAL or PCL capable of producing LiDAR grid metrics?
Jan
3
awarded  Revival
Jan
3
reviewed No Action Needed Cannot activate the Feature Search in ArcGIS Online?
Jan
3
reviewed No Action Needed Using decimals in ArcGIS Raster Calculator tool?
Jan
3
reviewed Looks OK How do you launch QGIS (Mac) without any plugins enabled?
Jan
3
reviewed Looks OK WMS GetMap Request with featureid CQL filter
Jan
3
reviewed Leave Open How do you launch QGIS (Mac) without any plugins enabled?
Jan
3
revised Counting animals using near infrared imagery from a drone
added 39 characters in body
Jan
3
revised Counting animals using near infrared imagery from a drone
edited tags
Jan
3
answered Counting animals using near infrared imagery from a drone
Jan
3
revised Counting number of plants in area using images from UAV?
deleted 15 characters in body; edited tags; edited tags
Jan
2
comment Classify forest with NDVI from Landsat 8 and 7
I'm afraid you have to eyeball it and use your best judgement when thresholding. You may want to consider using a supervised classification algorithm to classify forest/non-forest. Common approaches here include maximum liklihood or random forests.
Jan
2
revised Classify forest with NDVI from Landsat 8 and 7
added 202 characters in body
Jan
2
answered Classify forest with NDVI from Landsat 8 and 7
Jan
2
answered how to save a raster after converted from numpy array?
Jan
2
comment how to save a raster after converted from numpy array?
I believe the problem is that you are trying to save a non-raster object rasterSM2. Instead, try rasterSM.save(SMOutputName). Once that is complete then define the projection using arcpy.DefineProjection_management(SMOutputName, spatial_ref)
Jan
2
comment how to save a raster after converted from numpy array?
What does the variable SMOutputName look like?
Jan
2
revised how to save a raster after converted from numpy array?
added 10 characters in body
Jan
1
comment Classify forest with NDVI from Landsat 8 and 7
@Kersten, you bring up good and relevant points. Although the Amazon is an evergreen forest and had historically been thought to have consistent seasonal phenology, recent research has shown otherwise. I agree that it would be necessary to adjust the threshold between the time periods.