Search ga_ls7e_ard_3 whole collection

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
2020-08-10 09:46:22	ga_ls7e_ard_3-1-0_100074_2020-08-10_final
2020-08-10 09:48:22	ga_ls7e_ard_3-1-0_100079_2020-08-10_final
2020-08-11 10:28:46	ga_ls7e_ard_3-1-0_107072_2020-08-11_final
2020-08-12 09:32:17	ga_ls7e_ard_3-1-0_098070_2020-08-12_final
2020-08-12 09:33:05	ga_ls7e_ard_3-1-0_098072_2020-08-12_final
2020-08-12 09:33:53	ga_ls7e_ard_3-1-0_098074_2020-08-12_final
2020-08-12 09:34:40	ga_ls7e_ard_3-1-0_098076_2020-08-12_final
2020-08-12 09:35:04	ga_ls7e_ard_3-1-0_098077_2020-08-12_final
2020-08-12 09:35:52	ga_ls7e_ard_3-1-0_098079_2020-08-12_final
2020-08-12 09:37:04	ga_ls7e_ard_3-1-0_098082_2020-08-12_final
2020-08-12 09:37:28	ga_ls7e_ard_3-1-0_098083_2020-08-12_final
2020-08-14 09:18:36	ga_ls7e_ard_3-1-0_096067_2020-08-13_final
2020-08-14 09:23:23	ga_ls7e_ard_3-1-0_096079_2020-08-13_final
2020-08-16 09:08:30	ga_ls7e_ard_3-1-0_094073_2020-08-15_final
2020-08-16 09:08:54	ga_ls7e_ard_3-1-0_094074_2020-08-15_final
2020-08-16 09:10:06	ga_ls7e_ard_3-1-0_094077_2020-08-15_final
2020-08-16 09:11:18	ga_ls7e_ard_3-1-0_094080_2020-08-15_final
2020-08-16 09:12:54	ga_ls7e_ard_3-1-0_094084_2020-08-15_final
2020-08-18 09:01:36	ga_ls7e_ard_3-1-0_092087_2020-08-17_final
2020-08-19 09:37:13	ga_ls7e_ard_3-1-0_099068_2020-08-19_final
2020-08-19 09:37:37	ga_ls7e_ard_3-1-0_099069_2020-08-19_final
2020-08-19 09:38:25	ga_ls7e_ard_3-1-0_099071_2020-08-19_final
2020-08-19 09:40:00	ga_ls7e_ard_3-1-0_099075_2020-08-19_final
2020-08-19 09:40:24	ga_ls7e_ard_3-1-0_099076_2020-08-19_final
2020-08-19 09:41:12	ga_ls7e_ard_3-1-0_099078_2020-08-19_final
2020-08-19 09:43:12	ga_ls7e_ard_3-1-0_099083_2020-08-19_final
2020-08-20 10:20:25	ga_ls7e_ard_3-1-0_106068_2020-08-20_final
2020-08-23 09:19:01	ga_ls7e_ard_3-1-0_095085_2020-08-22_final
2020-08-25 09:02:09	ga_ls7e_ard_3-1-0_093074_2020-08-24_final
2020-08-25 09:02:56	ga_ls7e_ard_3-1-0_093076_2020-08-24_final
2020-08-25 09:03:20	ga_ls7e_ard_3-1-0_093077_2020-08-24_final
2020-08-25 09:06:56	ga_ls7e_ard_3-1-0_093086_2020-08-24_final
2020-08-25 09:07:20	ga_ls7e_ard_3-1-0_093087_2020-08-24_final
2020-08-26 09:45:20	ga_ls7e_ard_3-1-0_100074_2020-08-26_final
2020-08-26 09:47:20	ga_ls7e_ard_3-1-0_100079_2020-08-26_final
2020-08-27 10:27:44	ga_ls7e_ard_3-1-0_107072_2020-08-27_final
2020-08-28 09:31:15	ga_ls7e_ard_3-1-0_098070_2020-08-28_final
2020-08-28 09:32:03	ga_ls7e_ard_3-1-0_098072_2020-08-28_final
2020-08-28 09:32:51	ga_ls7e_ard_3-1-0_098074_2020-08-28_final
2020-08-28 09:34:03	ga_ls7e_ard_3-1-0_098077_2020-08-28_final
2020-08-28 09:34:51	ga_ls7e_ard_3-1-0_098079_2020-08-28_final
2020-08-28 09:36:50	ga_ls7e_ard_3-1-0_098084_2020-08-28_final
2020-08-28 11:13:43	ga_ls7e_ard_3-1-0_114079_2020-08-28_final
2020-08-28 11:14:07	ga_ls7e_ard_3-1-0_114080_2020-08-28_final
2020-08-29 10:14:27	ga_ls7e_ard_3-1-0_105070_2020-08-29_final
2020-08-29 10:14:51	ga_ls7e_ard_3-1-0_105071_2020-08-29_final
2020-08-29 10:16:02	ga_ls7e_ard_3-1-0_105074_2020-08-29_final
2020-08-29 10:17:38	ga_ls7e_ard_3-1-0_105078_2020-08-29_final
2020-08-29 10:18:26	ga_ls7e_ard_3-1-0_105080_2020-08-29_final
2020-08-30 09:17:34	ga_ls7e_ard_3-1-0_096067_2020-08-29_final
2020-08-30 09:19:57	ga_ls7e_ard_3-1-0_096073_2020-08-29_final
2020-08-30 09:20:45	ga_ls7e_ard_3-1-0_096075_2020-08-29_final
2020-08-30 09:21:09	ga_ls7e_ard_3-1-0_096076_2020-08-29_final
2020-08-30 09:21:33	ga_ls7e_ard_3-1-0_096077_2020-08-29_final
2020-08-30 09:23:09	ga_ls7e_ard_3-1-0_096081_2020-08-29_final
2020-08-30 09:24:21	ga_ls7e_ard_3-1-0_096084_2020-08-29_final
2020-08-30 09:25:09	ga_ls7e_ard_3-1-0_096086_2020-08-29_final
2020-08-30 11:00:26	ga_ls7e_ard_3-1-0_112077_2020-08-30_final
2020-08-30 11:00:50	ga_ls7e_ard_3-1-0_112078_2020-08-30_final
2020-08-30 11:01:38	ga_ls7e_ard_3-1-0_112080_2020-08-30_final
2020-08-30 11:02:02	ga_ls7e_ard_3-1-0_112081_2020-08-30_final
2020-08-30 11:02:50	ga_ls7e_ard_3-1-0_112083_2020-08-30_final
2020-08-31 10:01:33	ga_ls7e_ard_3-1-0_103069_2020-08-31_final
2020-08-31 10:02:21	ga_ls7e_ard_3-1-0_103071_2020-08-31_final
2020-08-31 10:03:33	ga_ls7e_ard_3-1-0_103074_2020-08-31_final
2020-08-31 10:04:45	ga_ls7e_ard_3-1-0_103077_2020-08-31_final
2020-08-31 10:05:33	ga_ls7e_ard_3-1-0_103079_2020-08-31_final
2020-08-31 10:05:57	ga_ls7e_ard_3-1-0_103080_2020-08-31_final
2020-08-31 10:06:45	ga_ls7e_ard_3-1-0_103082_2020-08-31_final
2020-09-01 09:07:28	ga_ls7e_ard_3-1-0_094073_2020-08-31_final
2020-09-01 09:07:52	ga_ls7e_ard_3-1-0_094074_2020-08-31_final
2020-09-01 09:09:04	ga_ls7e_ard_3-1-0_094077_2020-08-31_final
2020-09-01 09:11:04	ga_ls7e_ard_3-1-0_094082_2020-08-31_final
2020-09-01 09:11:51	ga_ls7e_ard_3-1-0_094084_2020-08-31_final
2020-09-01 10:45:09	ga_ls7e_ard_3-1-0_110070_2020-09-01_final
2020-09-01 10:46:45	ga_ls7e_ard_3-1-0_110074_2020-09-01_final
2020-09-01 10:47:33	ga_ls7e_ard_3-1-0_110076_2020-09-01_final
2020-09-01 10:48:44	ga_ls7e_ard_3-1-0_110079_2020-09-01_final
2020-09-01 10:50:20	ga_ls7e_ard_3-1-0_110083_2020-09-01_final
2020-09-01 10:50:44	ga_ls7e_ard_3-1-0_110084_2020-09-01_final
2020-09-02 09:50:16	ga_ls7e_ard_3-1-0_101072_2020-09-02_final
2020-09-02 09:51:04	ga_ls7e_ard_3-1-0_101074_2020-09-02_final
2020-09-02 09:51:28	ga_ls7e_ard_3-1-0_101075_2020-09-02_final
2020-09-02 09:53:03	ga_ls7e_ard_3-1-0_101079_2020-09-02_final
2020-09-02 09:54:39	ga_ls7e_ard_3-1-0_101083_2020-09-02_final
2020-09-03 08:59:22	ga_ls7e_ard_3-1-0_092084_2020-09-02_final
2020-09-03 09:00:34	ga_ls7e_ard_3-1-0_092087_2020-09-02_final
2020-09-03 09:01:22	ga_ls7e_ard_3-1-0_092089_2020-09-02_final
2020-09-03 10:33:27	ga_ls7e_ard_3-1-0_108072_2020-09-03_final
2020-09-03 10:34:39	ga_ls7e_ard_3-1-0_108075_2020-09-03_final
2020-09-03 10:36:15	ga_ls7e_ard_3-1-0_108079_2020-09-03_final
2020-09-03 10:36:39	ga_ls7e_ard_3-1-0_108080_2020-09-03_final
2020-09-03 10:37:03	ga_ls7e_ard_3-1-0_108081_2020-09-03_final
2020-09-03 10:37:51	ga_ls7e_ard_3-1-0_108083_2020-09-03_final
2020-09-30 10:11:33	ga_ls7e_ard_3-1-0_105068_2020-09-30_final
2020-09-30 10:12:21	ga_ls7e_ard_3-1-0_105070_2020-09-30_final
2020-09-30 10:13:57	ga_ls7e_ard_3-1-0_105074_2020-09-30_final
2020-10-01 09:19:28	ga_ls7e_ard_3-1-0_096077_2020-09-30_final
2020-10-01 09:20:16	ga_ls7e_ard_3-1-0_096079_2020-09-30_final
2020-10-01 09:20:39	ga_ls7e_ard_3-1-0_096080_2020-09-30_final

Return to ga_ls7e_ard_3 whole collection 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

All years