Search ga_ls7e_ard_3 across May 2021

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

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First 100 results (query limit)

Time (local)	Label
2021-05-05 09:49:16	ga_ls7e_ard_3-2-0_104068_2021-05-05_final
2021-05-05 09:49:40	ga_ls7e_ard_3-2-0_104069_2021-05-05_final
2021-05-05 09:50:04	ga_ls7e_ard_3-2-0_104070_2021-05-05_final
2021-05-05 09:50:28	ga_ls7e_ard_3-2-0_104071_2021-05-05_final
2021-05-05 09:50:52	ga_ls7e_ard_3-2-0_104072_2021-05-05_final
2021-05-05 09:51:16	ga_ls7e_ard_3-2-0_104073_2021-05-05_final
2021-05-05 09:51:40	ga_ls7e_ard_3-2-0_104074_2021-05-05_final
2021-05-05 09:52:04	ga_ls7e_ard_3-2-0_104075_2021-05-05_final
2021-05-05 09:52:28	ga_ls7e_ard_3-2-0_104076_2021-05-05_final
2021-05-05 09:52:52	ga_ls7e_ard_3-2-0_104077_2021-05-05_final
2021-05-05 09:53:16	ga_ls7e_ard_3-2-0_104078_2021-05-05_final
2021-05-05 09:53:40	ga_ls7e_ard_3-2-0_104079_2021-05-05_final
2021-05-05 09:54:04	ga_ls7e_ard_3-2-0_104080_2021-05-05_final
2021-05-05 09:54:28	ga_ls7e_ard_3-2-0_104081_2021-05-05_final
2021-05-05 09:54:52	ga_ls7e_ard_3-2-0_104082_2021-05-05_final
2021-05-06 08:53:10	ga_ls7e_ard_3-2-0_095067_2021-05-05_final
2021-05-06 08:55:10	ga_ls7e_ard_3-2-0_095072_2021-05-05_final
2021-05-06 08:55:34	ga_ls7e_ard_3-2-0_095073_2021-05-05_final
2021-05-06 08:55:58	ga_ls7e_ard_3-2-0_095074_2021-05-05_final
2021-05-06 08:56:22	ga_ls7e_ard_3-2-0_095075_2021-05-05_final
2021-05-06 08:56:46	ga_ls7e_ard_3-2-0_095076_2021-05-05_final
2021-05-06 08:57:10	ga_ls7e_ard_3-2-0_095077_2021-05-05_final
2021-05-06 08:57:34	ga_ls7e_ard_3-2-0_095078_2021-05-05_final
2021-05-06 08:57:58	ga_ls7e_ard_3-2-0_095079_2021-05-05_final
2021-05-06 08:58:22	ga_ls7e_ard_3-2-0_095080_2021-05-05_final
2021-05-06 08:58:45	ga_ls7e_ard_3-2-0_095081_2021-05-05_final
2021-05-06 08:59:09	ga_ls7e_ard_3-2-0_095082_2021-05-05_final
2021-05-06 08:59:33	ga_ls7e_ard_3-2-0_095083_2021-05-05_final
2021-05-06 08:59:57	ga_ls7e_ard_3-2-0_095084_2021-05-05_final
2021-05-06 09:00:21	ga_ls7e_ard_3-2-0_095085_2021-05-05_final
2021-05-06 09:00:45	ga_ls7e_ard_3-2-0_095086_2021-05-05_final
2021-05-06 10:32:03	ga_ls7e_ard_3-2-0_111067_2021-05-06_final
2021-05-06 10:32:27	ga_ls7e_ard_3-2-0_111068_2021-05-06_final
2021-05-06 10:33:39	ga_ls7e_ard_3-2-0_111071_2021-05-06_final
2021-05-06 10:34:03	ga_ls7e_ard_3-2-0_111072_2021-05-06_final
2021-05-06 10:34:27	ga_ls7e_ard_3-2-0_111073_2021-05-06_final
2021-05-06 10:34:51	ga_ls7e_ard_3-2-0_111074_2021-05-06_final
2021-05-06 10:35:15	ga_ls7e_ard_3-2-0_111075_2021-05-06_final
2021-05-06 10:35:38	ga_ls7e_ard_3-2-0_111076_2021-05-06_final
2021-05-06 10:36:02	ga_ls7e_ard_3-2-0_111077_2021-05-06_final
2021-05-06 10:36:26	ga_ls7e_ard_3-2-0_111078_2021-05-06_final
2021-05-06 10:36:50	ga_ls7e_ard_3-2-0_111079_2021-05-06_final
2021-05-06 10:37:38	ga_ls7e_ard_3-2-0_111081_2021-05-06_final
2021-05-06 10:38:02	ga_ls7e_ard_3-2-0_111082_2021-05-06_final
2021-05-06 10:38:26	ga_ls7e_ard_3-2-0_111083_2021-05-06_final
2021-05-06 10:38:50	ga_ls7e_ard_3-2-0_111084_2021-05-06_final
2021-05-07 09:36:45	ga_ls7e_ard_3-2-0_102068_2021-05-07_final
2021-05-07 09:37:09	ga_ls7e_ard_3-2-0_102069_2021-05-07_final
2021-05-07 09:37:33	ga_ls7e_ard_3-2-0_102070_2021-05-07_final
2021-05-07 09:37:57	ga_ls7e_ard_3-2-0_102071_2021-05-07_final
2021-05-07 09:38:21	ga_ls7e_ard_3-2-0_102072_2021-05-07_final
2021-05-07 09:38:44	ga_ls7e_ard_3-2-0_102073_2021-05-07_final
2021-05-07 09:39:08	ga_ls7e_ard_3-2-0_102074_2021-05-07_final
2021-05-07 09:39:32	ga_ls7e_ard_3-2-0_102075_2021-05-07_final
2021-05-07 09:39:56	ga_ls7e_ard_3-2-0_102076_2021-05-07_final
2021-05-07 09:40:20	ga_ls7e_ard_3-2-0_102077_2021-05-07_final
2021-05-07 09:40:44	ga_ls7e_ard_3-2-0_102078_2021-05-07_final
2021-05-07 09:41:08	ga_ls7e_ard_3-2-0_102079_2021-05-07_final
2021-05-07 09:41:32	ga_ls7e_ard_3-2-0_102080_2021-05-07_final
2021-05-07 09:41:56	ga_ls7e_ard_3-2-0_102081_2021-05-07_final
2021-05-07 09:42:20	ga_ls7e_ard_3-2-0_102082_2021-05-07_final
2021-05-08 08:43:26	ga_ls7e_ard_3-2-0_093074_2021-05-07_final
2021-05-08 08:43:50	ga_ls7e_ard_3-2-0_093075_2021-05-07_final
2021-05-08 08:44:14	ga_ls7e_ard_3-2-0_093076_2021-05-07_final
2021-05-08 08:44:38	ga_ls7e_ard_3-2-0_093077_2021-05-07_final
2021-05-08 08:45:02	ga_ls7e_ard_3-2-0_093078_2021-05-07_final
2021-05-08 08:45:26	ga_ls7e_ard_3-2-0_093079_2021-05-07_final
2021-05-08 08:45:50	ga_ls7e_ard_3-2-0_093080_2021-05-07_final
2021-05-08 08:46:14	ga_ls7e_ard_3-2-0_093081_2021-05-07_final
2021-05-08 08:46:38	ga_ls7e_ard_3-2-0_093082_2021-05-07_final
2021-05-08 08:47:26	ga_ls7e_ard_3-2-0_093084_2021-05-07_final
2021-05-08 08:47:50	ga_ls7e_ard_3-2-0_093085_2021-05-07_final
2021-05-08 08:48:14	ga_ls7e_ard_3-2-0_093086_2021-05-07_final
2021-05-08 08:48:38	ga_ls7e_ard_3-2-0_093087_2021-05-07_final
2021-05-08 08:49:02	ga_ls7e_ard_3-2-0_093088_2021-05-07_final
2021-05-08 10:21:31	ga_ls7e_ard_3-2-0_109072_2021-05-08_final
2021-05-08 10:25:07	ga_ls7e_ard_3-2-0_109081_2021-05-08_final
2021-05-08 10:25:54	ga_ls7e_ard_3-2-0_109083_2021-05-08_final
2021-05-09 09:25:25	ga_ls7e_ard_3-2-0_100071_2021-05-08_final
2021-05-09 09:25:49	ga_ls7e_ard_3-2-0_100072_2021-05-08_final
2021-05-09 09:27:25	ga_ls7e_ard_3-2-0_100076_2021-05-08_final
2021-05-09 09:28:13	ga_ls7e_ard_3-2-0_100078_2021-05-08_final
2021-05-09 09:28:37	ga_ls7e_ard_3-2-0_100079_2021-05-08_final
2021-05-09 09:29:24	ga_ls7e_ard_3-2-0_100081_2021-05-08_final
2021-05-10 08:31:43	ga_ls7e_ard_3-2-0_091076_2021-05-09_final
2021-05-10 08:32:06	ga_ls7e_ard_3-2-0_091077_2021-05-09_final
2021-05-10 08:32:30	ga_ls7e_ard_3-2-0_091078_2021-05-09_final
2021-05-10 08:32:54	ga_ls7e_ard_3-2-0_091079_2021-05-09_final
2021-05-10 08:33:18	ga_ls7e_ard_3-2-0_091080_2021-05-09_final
2021-05-10 08:33:42	ga_ls7e_ard_3-2-0_091081_2021-05-09_final
2021-05-10 08:34:06	ga_ls7e_ard_3-2-0_091082_2021-05-09_final
2021-05-10 08:34:30	ga_ls7e_ard_3-2-0_091083_2021-05-09_final
2021-05-10 08:34:54	ga_ls7e_ard_3-2-0_091084_2021-05-09_final
2021-05-10 08:35:18	ga_ls7e_ard_3-2-0_091085_2021-05-09_final
2021-05-10 08:35:42	ga_ls7e_ard_3-2-0_091086_2021-05-09_final
2021-05-10 08:36:06	ga_ls7e_ard_3-2-0_091087_2021-05-09_final
2021-05-10 08:37:18	ga_ls7e_ard_3-2-0_091090_2021-05-09_final
2021-05-10 10:08:59	ga_ls7e_ard_3-2-0_107072_2021-05-10_final
2021-05-10 10:10:35	ga_ls7e_ard_3-2-0_107076_2021-05-10_final
2021-05-10 10:11:23	ga_ls7e_ard_3-2-0_107078_2021-05-10_final

Return to ga_ls7e_ard_3 across May 2021 overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

2021

May

All days