use dims keyword

src/methods/crop_extend.jl

@@ -92,18 +92,15 @@ function _crop_to(x, to; kw...)
         return _crop_to(x, ext; kw...)
     end
 end
-function _crop_to(A, to::RasterStackOrArray; kw...)
-    target_dims = get(kw, :dims, name.(dims(to)))
-    return _crop_to(A, dims(to, target_dims); kw...)
-end
+_crop_to(A, to::RasterStackOrArray; dims=DD.dims(to), kw...) = _crop_to(A, DD.dims(to, dims); kw...)
 function _crop_to(x, to::DimTuple; kw...)
     # We can only crop to sampled dims (e.g. not categorical dims like Band)
     sampled = reduce(to; init=()) do acc, d
         lookup(d) isa AbstractSampled ? (acc..., d) : acc
     end
     return _crop_to(x, Extents.extent(to); kw...)
 end
-function _crop_to(x, to::Extents.Extent; touches=false, kw...)
+function _crop_to(x, to::Extents.Extent; touches=false)
     ds = dims(x, map(key2dim, keys(to)))
     # Take a view over the bounds
     _without_mapped_crs(x) do x1

test/sources/gdal.jl

@@ -109,13 +109,13 @@ gdalpath = maybedownload(url)
 
     @testset "other fields" begin
         # This file has an inorrect missing value
-        @test missingval(gdalarray) == nothing
+        @test missingval(gdalarray) === nothing
         @test metadata(gdalarray) isa Metadata{GDALsource,Dict{String,Any}} 
         @test basename(metadata(gdalarray)["filepath"]) == "cea.tif"
         metadata(gdalarray)["filepath"]
         @test name(gdalarray) == :test
         @test label(gdalarray) == "test"
-        @test units(gdalarray) == nothing
+        @test units(gdalarray) === nothing
         @test crs(dims(gdalarray, Y)) isa WellKnownText 
         @test crs(dims(gdalarray, X)) isa WellKnownText
         @test crs(gdalarray) isa WellKnownText
@@ -256,7 +256,7 @@ gdalpath = maybedownload(url)
         @test dims(geoA) isa Tuple{<:X,Y}
         @test refdims(geoA) isa Tuple{<:Band}
         @test metadata(geoA) == metadata(gdalarray)
-        @test missingval(geoA) == nothing
+        @test missingval(geoA) === nothing
         @test name(geoA) == :test
     end