Search ga_ls7e_ard_3 across February 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:

Add field

First 100 results (query limit)

Time (local)	Label
2021-02-01 08:51:07	ga_ls7e_ard_3-2-0_093074_2021-01-31_final
2021-02-01 08:51:31	ga_ls7e_ard_3-2-0_093075_2021-01-31_final
2021-02-01 08:52:19	ga_ls7e_ard_3-2-0_093077_2021-01-31_final
2021-02-01 08:52:43	ga_ls7e_ard_3-2-0_093078_2021-01-31_final
2021-02-01 08:53:07	ga_ls7e_ard_3-2-0_093079_2021-01-31_final
2021-02-01 08:53:31	ga_ls7e_ard_3-2-0_093080_2021-01-31_final
2021-02-01 08:53:55	ga_ls7e_ard_3-2-0_093081_2021-01-31_final
2021-02-01 08:54:19	ga_ls7e_ard_3-2-0_093082_2021-01-31_final
2021-02-01 08:54:43	ga_ls7e_ard_3-2-0_093083_2021-01-31_final
2021-02-01 08:56:19	ga_ls7e_ard_3-2-0_093087_2021-01-31_final
2021-02-01 10:30:24	ga_ls7e_ard_3-2-0_109075_2021-02-01_final
2021-02-01 10:31:12	ga_ls7e_ard_3-2-0_109077_2021-02-01_final
2021-02-01 10:31:36	ga_ls7e_ard_3-2-0_109078_2021-02-01_final
2021-02-01 10:32:48	ga_ls7e_ard_3-2-0_109081_2021-02-01_final
2021-02-01 10:33:12	ga_ls7e_ard_3-2-0_109082_2021-02-01_final
2021-02-01 10:33:36	ga_ls7e_ard_3-2-0_109083_2021-02-01_final
2021-02-01 10:33:59	ga_ls7e_ard_3-2-0_109084_2021-02-01_final
2021-02-02 09:33:07	ga_ls7e_ard_3-2-0_100071_2021-02-02_final
2021-02-02 09:33:31	ga_ls7e_ard_3-2-0_100072_2021-02-02_final
2021-02-02 09:33:55	ga_ls7e_ard_3-2-0_100073_2021-02-02_final
2021-02-02 09:34:18	ga_ls7e_ard_3-2-0_100074_2021-02-02_final
2021-02-02 09:34:42	ga_ls7e_ard_3-2-0_100075_2021-02-02_final
2021-02-02 09:35:06	ga_ls7e_ard_3-2-0_100076_2021-02-02_final
2021-02-02 09:35:30	ga_ls7e_ard_3-2-0_100077_2021-02-02_final
2021-02-02 09:35:54	ga_ls7e_ard_3-2-0_100078_2021-02-02_final
2021-02-02 09:36:18	ga_ls7e_ard_3-2-0_100079_2021-02-02_final
2021-02-02 09:36:42	ga_ls7e_ard_3-2-0_100080_2021-02-02_final
2021-02-02 09:37:06	ga_ls7e_ard_3-2-0_100081_2021-02-02_final
2021-02-02 09:37:30	ga_ls7e_ard_3-2-0_100082_2021-02-02_final
2021-02-02 09:37:54	ga_ls7e_ard_3-2-0_100083_2021-02-02_final
2021-02-02 09:38:18	ga_ls7e_ard_3-2-0_100084_2021-02-02_final
2021-02-03 08:39:25	ga_ls7e_ard_3-2-0_091076_2021-02-02_final
2021-02-03 08:40:13	ga_ls7e_ard_3-2-0_091078_2021-02-02_final
2021-02-03 08:40:37	ga_ls7e_ard_3-2-0_091079_2021-02-02_final
2021-02-03 08:41:01	ga_ls7e_ard_3-2-0_091080_2021-02-02_final
2021-02-03 08:41:24	ga_ls7e_ard_3-2-0_091081_2021-02-02_final
2021-02-03 08:41:48	ga_ls7e_ard_3-2-0_091082_2021-02-02_final
2021-02-03 08:42:12	ga_ls7e_ard_3-2-0_091083_2021-02-02_final
2021-02-03 08:42:36	ga_ls7e_ard_3-2-0_091084_2021-02-02_final
2021-02-03 08:43:00	ga_ls7e_ard_3-2-0_091085_2021-02-02_final
2021-02-03 08:43:24	ga_ls7e_ard_3-2-0_091086_2021-02-02_final
2021-02-03 08:43:48	ga_ls7e_ard_3-2-0_091087_2021-02-02_final
2021-02-03 08:44:12	ga_ls7e_ard_3-2-0_091088_2021-02-02_final
2021-02-03 08:44:36	ga_ls7e_ard_3-2-0_091089_2021-02-02_final
2021-02-03 08:45:00	ga_ls7e_ard_3-2-0_091090_2021-02-02_final
2021-02-06 09:08:06	ga_ls7e_ard_3-2-0_096071_2021-02-05_final
2021-02-06 09:08:30	ga_ls7e_ard_3-2-0_096072_2021-02-05_final
2021-02-06 09:08:54	ga_ls7e_ard_3-2-0_096073_2021-02-05_final
2021-02-06 09:09:18	ga_ls7e_ard_3-2-0_096074_2021-02-05_final
2021-02-06 09:09:41	ga_ls7e_ard_3-2-0_096075_2021-02-05_final
2021-02-06 09:10:05	ga_ls7e_ard_3-2-0_096076_2021-02-05_final
2021-02-06 09:10:29	ga_ls7e_ard_3-2-0_096077_2021-02-05_final
2021-02-06 09:10:53	ga_ls7e_ard_3-2-0_096078_2021-02-05_final
2021-02-06 09:11:17	ga_ls7e_ard_3-2-0_096079_2021-02-05_final
2021-02-06 09:11:41	ga_ls7e_ard_3-2-0_096080_2021-02-05_final
2021-02-06 09:12:05	ga_ls7e_ard_3-2-0_096081_2021-02-05_final
2021-02-06 09:12:29	ga_ls7e_ard_3-2-0_096082_2021-02-05_final
2021-02-06 09:12:53	ga_ls7e_ard_3-2-0_096083_2021-02-05_final
2021-02-06 09:13:17	ga_ls7e_ard_3-2-0_096084_2021-02-05_final
2021-02-06 09:13:41	ga_ls7e_ard_3-2-0_096085_2021-02-05_final
2021-02-06 09:14:05	ga_ls7e_ard_3-2-0_096086_2021-02-05_final
2021-02-06 10:48:10	ga_ls7e_ard_3-2-0_112074_2021-02-06_final
2021-02-06 10:48:58	ga_ls7e_ard_3-2-0_112076_2021-02-06_final
2021-02-06 10:49:22	ga_ls7e_ard_3-2-0_112077_2021-02-06_final
2021-02-06 10:49:46	ga_ls7e_ard_3-2-0_112078_2021-02-06_final
2021-02-06 10:50:10	ga_ls7e_ard_3-2-0_112079_2021-02-06_final
2021-02-06 10:50:34	ga_ls7e_ard_3-2-0_112080_2021-02-06_final
2021-02-06 10:52:10	ga_ls7e_ard_3-2-0_112084_2021-02-06_final
2021-02-07 09:52:53	ga_ls7e_ard_3-2-0_103075_2021-02-07_final
2021-02-08 08:56:47	ga_ls7e_ard_3-2-0_094074_2021-02-07_final
2021-02-08 08:57:59	ga_ls7e_ard_3-2-0_094077_2021-02-07_final
2021-02-08 08:58:23	ga_ls7e_ard_3-2-0_094078_2021-02-07_final
2021-02-08 08:58:47	ga_ls7e_ard_3-2-0_094079_2021-02-07_final
2021-02-08 08:59:35	ga_ls7e_ard_3-2-0_094081_2021-02-07_final
2021-02-08 10:32:52	ga_ls7e_ard_3-2-0_110067_2021-02-08_final
2021-02-08 10:34:04	ga_ls7e_ard_3-2-0_110070_2021-02-08_final
2021-02-08 10:34:28	ga_ls7e_ard_3-2-0_110071_2021-02-08_final
2021-02-08 10:34:52	ga_ls7e_ard_3-2-0_110072_2021-02-08_final
2021-02-08 10:35:16	ga_ls7e_ard_3-2-0_110073_2021-02-08_final
2021-02-08 10:35:40	ga_ls7e_ard_3-2-0_110074_2021-02-08_final
2021-02-08 10:36:04	ga_ls7e_ard_3-2-0_110075_2021-02-08_final
2021-02-08 10:36:28	ga_ls7e_ard_3-2-0_110076_2021-02-08_final
2021-02-08 10:37:16	ga_ls7e_ard_3-2-0_110078_2021-02-08_final
2021-02-08 10:37:39	ga_ls7e_ard_3-2-0_110079_2021-02-08_final
2021-02-08 10:38:27	ga_ls7e_ard_3-2-0_110081_2021-02-08_final
2021-02-08 10:38:51	ga_ls7e_ard_3-2-0_110082_2021-02-08_final
2021-02-08 10:39:15	ga_ls7e_ard_3-2-0_110083_2021-02-08_final
2021-02-09 09:41:34	ga_ls7e_ard_3-2-0_101078_2021-02-09_final
2021-02-09 09:41:58	ga_ls7e_ard_3-2-0_101079_2021-02-09_final
2021-02-09 09:42:46	ga_ls7e_ard_3-2-0_101081_2021-02-09_final
2021-02-09 09:43:10	ga_ls7e_ard_3-2-0_101082_2021-02-09_final
2021-02-09 09:43:34	ga_ls7e_ard_3-2-0_101083_2021-02-09_final
2021-02-10 08:46:16	ga_ls7e_ard_3-2-0_092079_2021-02-09_final
2021-02-10 08:50:16	ga_ls7e_ard_3-2-0_092089_2021-02-09_final
2021-02-10 10:21:57	ga_ls7e_ard_3-2-0_108071_2021-02-10_final
2021-02-10 10:23:57	ga_ls7e_ard_3-2-0_108076_2021-02-10_final
2021-02-10 10:24:45	ga_ls7e_ard_3-2-0_108078_2021-02-10_final
2021-02-10 10:25:09	ga_ls7e_ard_3-2-0_108079_2021-02-10_final
2021-02-10 10:26:21	ga_ls7e_ard_3-2-0_108082_2021-02-10_final
2021-02-10 10:26:45	ga_ls7e_ard_3-2-0_108083_2021-02-10_final

Return to ga_ls7e_ard_3 across February 2021 overview

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

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

2021

February

All days