Is there an error when accessing data on NASA Earth?

[danggdmt-netizen]

I want to use this dataset in NASA Earth. I have followed the instructions in Lesson 88 on how to access and retrieve data from the system. However, after following the steps and entering the following inputs

results, gdf = leafmap.nasa_data_search(
short_name="VNP03IMG_NRT,
cloud_hosted=True,
bounding_box=(105.578326, 20.794928, 105.660841,21.176018),
temporal=("2025-07-01", "2025-07-31"),
count=-1, # use -1 to return all datasets
return_gdf=True,
)
I rechecked all the information, but I still do not understand why no results are returned. I also tried changing the short_name to other options such as VNP03IMG_NRT and AST_L1T, while keeping the longitude, latitude, and date range unchanged. I have already created an account and successfully logged in to NASA Earth.
Here is the result
Traceback (most recent call last)
Cell In[10], line 1
----> 1 results, gdf = leafmap.nasa_data_search(
2 short_name="VNP03IMG_NRT",
3 cloud_hosted=True,
4 bounding_box=(105.3, 20.7, 106.1,21.2),
5 temporal=("2025-07-01", "2025-07-31"),
6 count=-1, # use -1 to return all datasets
7 return_gdf=True,
8 )

File ~\miniconda3\envs\geo\Lib\site-packages\leafmap\common.py:15948, in nasa_data_search(count, short_name, bbox, temporal, version, doi, daac, provider, output, crs, return_gdf, **kwargs)
15945 nasa_data_granules_to_gdf(granules, crs=crs, output=output)
15947 if return_gdf:

15948 gdf = nasa_data_granules_to_gdf(granules, crs=crs)
15949 return granules, gdf
15950 else:

File ~\miniconda3\envs\geo\Lib\site-packages\leafmap\common.py:15844, in nasa_data_granules_to_gdf(granules, crs, output, **kwargs)
15842 df = pd.json_normalize([dict(i.items()) for i in granules])
15843 df.columns = [col.split(".")[-1] for col in df.columns]

15844 df = df.drop("Version", axis=1)
15846 def get_bbox(rectangles):
15847 xmin = min(rectangle["WestBoundingCoordinate"] for rectangle in rectangles)

File ~\miniconda3\envs\geo\Lib\site-packages\pandas\core\frame.py:5603, in DataFrame.drop(self, labels, axis, index, columns, level, inplace, errors)
5455 def drop(
5456 self,
5457 labels: IndexLabel | None = None,
(...) 5464 errors: IgnoreRaise = "raise",
5465 ) -> DataFrame | None:
5466 """
5467 Drop specified labels from rows or columns.
5468
(...) 5601 weight 1.0 0.8
5602 """
-> 5603 return super().drop(
5604 labels=labels,
5605 axis=axis,
5606 index=index,
5607 columns=columns,
5608 level=level,
5609 inplace=inplace,
5610 errors=errors,
5611 )

File ~\miniconda3\envs\geo\Lib\site-packages\pandas\core\generic.py:4810, in NDFrame.drop(self, labels, axis, index, columns, level, inplace, errors)
4808 for axis, labels in axes.items():
4809 if labels is not None:
-> 4810 obj = obj._drop_axis(labels, axis, level=level, errors=errors)
4812 if inplace:
4813 self._update_inplace(obj)

File ~\miniconda3\envs\geo\Lib\site-packages\pandas\core\generic.py:4852, in NDFrame._drop_axis(self, labels, axis, level, errors, only_slice)
4850 new_axis = axis.drop(labels, level=level, errors=errors)
4851 else:
-> 4852 new_axis = axis.drop(labels, errors=errors)
4853 indexer = axis.get_indexer(new_axis)
4855 # Case for non-unique axis
4856 else:

File ~\miniconda3\envs\geo\Lib\site-packages\pandas\core\indexes\base.py:7136, in Index.drop(self, labels, errors)
7134 if mask.any():
7135 if errors != "ignore":
-> 7136 raise KeyError(f"{labels[mask].tolist()} not found in axis")
7137 indexer = indexer[~mask]
7138 return self.delete(indexer)

KeyError: "['Version'] not found in axis"

[giswqs]

VNP03IMG_NRT is a Near Real-Time (NRT) dataset. NRT data is only retained for a short rolling window (typically the last ~7 days). You should use VNP03IMG instead.