fix references landslide nb

docs/landslide_xbatcher.ipynb

@@ -25,7 +25,7 @@
     "  :style: plain\n",
     "  :list: bullet\n",
     "  :filter: topic % \"boehm2022\"\n",
-    "```\n"
+    "```"
    ]
   },
   {
@@ -96,7 +96,6 @@
     "\n",
     "This episode uses the following main Python packages:\n",
     "\n",
-    "- numpy {cite:ps}`a-numpy-harris2020`   \n",
     "- xarray {cite:ps}`a-xarray-hoyer2017` with [`zarr`](https://pypi.org/project/zarr/) engines\n",
     "- xbatcher {cite:ps}`a-xbatcher-2024`\n",
     "\n",
@@ -845,7 +844,7 @@
     "\n",
     "```{bibliography}\n",
     ":style: alpha\n",
-    ":filter: topic % \"package\"\n",
+    ":filter: topic % \"landslides\" and topic % \"package\"\n",
     ":keyprefix: a-\n",
     "```"
    ]

docs/references.bib

@@ -99,7 +99,7 @@ @article{xarray-hoyer2017
   publisher = {Ubiquity Press},
   doi       = {10.5334/jors.148},
   url       = {https://doi.org/10.5334/jors.148},
-  topic = {SST, xarray, visualization, access, chunking, dask, package}
+  topic = {SST, landslide, xarray, visualization, access, chunking, dask, package}
 }
 
 @article{pooch-Uieda2020, doi = {10.21105/joss.01943},
@@ -394,13 +394,13 @@ @misc{boehm2022
   publisher = {arXiv},
   year = {2022},
   copyright = {Creative Commons Attribution 4.0 International}
-  topic = {landslide, xbatcher, sar},
+  topic = {landslide, xbatcher, sar, boehm2022},
 }
 
 @Manual{xbatcher-2024,
   title = {xbatcher: Batch Generation from Xarray Datasets},
   author = {{xbatcher Development Team}},
   year = {2024},
   url = {https://github.com/opendatacube/xbatcher},
-  topic = {package, deeplearning}
+  topic = {landslide, package, deeplearning}
 }