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
2021-03-17 09:16:04	ga_ls7e_ard_3-2-0_097083_2021-03-16_final
2021-06-15 09:44:03	ga_ls7e_ard_3-2-0_103079_2021-06-15_final
2021-07-01 09:40:44	ga_ls7e_ard_3-2-0_103074_2021-07-01_final
2021-07-01 09:41:32	ga_ls7e_ard_3-2-0_103076_2021-07-01_final
2021-07-02 08:46:37	ga_ls7e_ard_3-2-0_094078_2021-07-01_final
2021-07-02 10:25:30	ga_ls7e_ard_3-2-0_110078_2021-07-02_final
2021-07-08 09:46:43	ga_ls7e_ard_3-2-0_104075_2021-07-08_final
2021-07-09 08:53:00	ga_ls7e_ard_3-2-0_095080_2021-07-08_final
2021-07-10 09:34:35	ga_ls7e_ard_3-2-0_102076_2021-07-10_final
2021-07-10 09:35:23	ga_ls7e_ard_3-2-0_102078_2021-07-10_final
2021-07-11 08:41:17	ga_ls7e_ard_3-2-0_093082_2021-07-10_final
2021-07-14 09:09:08	ga_ls7e_ard_3-2-0_098075_2021-07-13_final
2021-07-15 09:51:06	ga_ls7e_ard_3-2-0_105072_2021-07-15_final
2021-07-18 10:24:56	ga_ls7e_ard_3-2-0_110080_2021-07-18_final
2021-07-23 10:41:27	ga_ls7e_ard_3-2-0_113076_2021-07-23_final
2021-07-24 09:47:20	ga_ls7e_ard_3-2-0_104080_2021-07-24_final
2021-07-25 08:52:02	ga_ls7e_ard_3-2-0_095081_2021-07-24_final
2021-08-01 10:34:29	ga_ls7e_ard_3-2-0_112076_2021-08-01_final
2021-08-02 09:39:34	ga_ls7e_ard_3-2-0_103078_2021-08-02_final
2021-08-03 08:42:40	ga_ls7e_ard_3-2-0_094075_2021-08-02_final
2021-08-07 09:57:16	ga_ls7e_ard_3-2-0_106077_2021-08-07_final
2021-08-08 09:03:33	ga_ls7e_ard_3-2-0_097082_2021-08-07_final
2021-08-10 08:48:14	ga_ls7e_ard_3-2-0_095075_2021-08-09_final
2021-08-10 08:48:37	ga_ls7e_ard_3-2-0_095076_2021-08-09_final
2021-08-12 08:36:53	ga_ls7e_ard_3-2-0_093078_2021-08-11_final
2021-08-13 09:18:03	ga_ls7e_ard_3-2-0_100073_2021-08-12_final
2021-08-15 09:06:43	ga_ls7e_ard_3-2-0_098076_2021-08-14_final
2021-08-16 09:47:53	ga_ls7e_ard_3-2-0_105071_2021-08-16_final
2021-08-17 08:53:23	ga_ls7e_ard_3-2-0_096074_2021-08-16_final
2021-08-17 08:55:46	ga_ls7e_ard_3-2-0_096080_2021-08-16_final
2021-08-22 09:11:29	ga_ls7e_ard_3-2-0_099074_2021-08-21_final
2021-08-27 09:28:48	ga_ls7e_ard_3-2-0_102072_2021-08-26_final
2021-09-07 09:09:42	ga_ls7e_ard_3-2-0_099073_2021-09-06_final
2021-09-10 09:42:20	ga_ls7e_ard_3-2-0_104078_2021-09-10_final
2021-09-13 08:33:18	ga_ls7e_ard_3-2-0_093076_2021-09-12_final
2021-09-16 09:03:08	ga_ls7e_ard_3-2-0_098074_2021-09-15_final
2021-09-16 09:03:56	ga_ls7e_ard_3-2-0_098076_2021-09-15_final
2021-09-17 09:48:18	ga_ls7e_ard_3-2-0_105079_2021-09-17_final
2021-09-25 10:36:37	ga_ls7e_ard_3-2-0_113078_2021-09-25_final
2021-09-27 08:44:24	ga_ls7e_ard_3-2-0_095076_2021-09-26_final
2021-10-04 08:48:46	ga_ls7e_ard_3-2-0_096073_2021-10-03_final
2021-10-04 08:49:58	ga_ls7e_ard_3-2-0_096076_2021-10-03_final
2021-10-04 08:50:46	ga_ls7e_ard_3-2-0_096078_2021-10-03_final
2021-10-04 10:29:38	ga_ls7e_ard_3-2-0_112078_2021-10-04_final
2021-10-06 08:39:49	ga_ls7e_ard_3-2-0_094082_2021-10-05_final
2021-10-06 10:17:06	ga_ls7e_ard_3-2-0_110078_2021-10-06_final
2021-10-07 09:21:48	ga_ls7e_ard_3-2-0_101079_2021-10-06_final
2021-10-14 09:26:58	ga_ls7e_ard_3-2-0_102078_2021-10-13_final
2021-10-14 09:27:22	ga_ls7e_ard_3-2-0_102079_2021-10-13_final
2021-10-15 10:10:32	ga_ls7e_ard_3-2-0_109079_2021-10-15_final
2021-10-15 10:10:56	ga_ls7e_ard_3-2-0_109080_2021-10-15_final
2021-10-16 09:12:50	ga_ls7e_ard_3-2-0_100074_2021-10-15_final
2021-10-17 09:57:35	ga_ls7e_ard_3-2-0_107078_2021-10-17_final
2021-10-20 08:48:09	ga_ls7e_ard_3-2-0_096075_2021-10-19_final
2021-10-20 08:50:08	ga_ls7e_ard_3-2-0_096080_2021-10-19_final
2021-10-24 08:24:15	ga_ls7e_ard_3-2-0_092078_2021-10-23_final
2021-10-31 08:30:11	ga_ls7e_ard_3-2-0_093079_2021-10-30_final
2021-11-01 09:13:21	ga_ls7e_ard_3-2-0_100079_2021-10-31_final
2021-11-02 08:17:39	ga_ls7e_ard_3-2-0_091079_2021-11-01_final
2021-11-10 09:04:19	ga_ls7e_ard_3-2-0_099074_2021-11-09_final
2021-11-15 09:24:46	ga_ls7e_ard_3-2-1_102080_2021-11-14_final
2021-11-17 09:12:13	ga_ls7e_ard_3-2-1_100080_2021-11-16_final
2021-11-21 08:45:06	ga_ls7e_ard_3-2-1_096075_2021-11-20_final
2021-12-01 09:22:50	ga_ls7e_ard_3-2-1_102079_2021-11-30_final
2021-12-10 09:14:37	ga_ls7e_ard_3-2-1_101076_2021-12-09_final
2021-12-12 09:01:16	ga_ls7e_ard_3-2-1_099074_2021-12-11_final
2021-12-16 10:17:26	ga_ls7e_ard_3-2-1_111080_2021-12-16_final
2021-12-18 08:26:00	ga_ls7e_ard_3-2-1_093080_2021-12-17_final
2021-12-23 08:44:03	ga_ls7e_ard_3-2-1_096080_2021-12-22_final
2021-12-25 08:31:06	ga_ls7e_ard_3-2-1_094079_2021-12-24_final
2021-12-29 09:46:03	ga_ls7e_ard_3-2-1_106082_2021-12-29_final
2022-01-01 08:36:34	ga_ls7e_ard_3-2-1_095079_2021-12-31_final
2022-01-01 10:15:51	ga_ls7e_ard_3-2-1_111080_2022-01-01_final
2022-01-06 08:55:24	ga_ls7e_ard_3-2-1_098081_2022-01-05_final
2022-01-17 08:35:02	ga_ls7e_ard_3-2-1_095079_2022-01-16_final
2022-01-17 10:13:55	ga_ls7e_ard_3-2-1_111079_2022-01-17_final
2022-01-28 08:15:02	ga_ls7e_ard_3-2-1_092078_2022-01-27_final
2022-01-28 08:17:02	ga_ls7e_ard_3-2-1_092083_2022-01-27_final
2022-02-02 10:12:45	ga_ls7e_ard_3-2-1_111080_2022-02-02_final
2022-02-09 08:38:32	ga_ls7e_ard_3-2-1_096078_2022-02-08_final
2022-02-09 10:18:13	ga_ls7e_ard_3-2-1_112080_2022-02-09_final
2022-02-12 09:09:55	ga_ls7e_ard_3-2-1_101080_2022-02-11_final
2022-02-12 09:10:19	ga_ls7e_ard_3-2-1_101081_2022-02-11_final
2022-02-18 08:30:38	ga_ls7e_ard_3-2-1_095076_2022-02-17_final
2022-02-19 09:13:00	ga_ls7e_ard_3-2-1_102074_2022-02-18_final
2022-02-20 08:20:05	ga_ls7e_ard_3-2-1_093081_2022-02-19_final
2022-02-24 09:32:40	ga_ls7e_ard_3-2-1_105078_2022-02-24_final
2022-02-25 10:15:50	ga_ls7e_ard_3-2-1_112078_2022-02-25_final
2022-02-27 08:23:12	ga_ls7e_ard_3-2-1_094075_2022-02-26_final
2022-02-27 10:03:41	ga_ls7e_ard_3-2-1_110079_2022-02-27_final
2022-03-05 09:24:01	ga_ls7e_ard_3-2-1_104074_2022-03-04_final
2022-03-06 08:30:18	ga_ls7e_ard_3-2-1_095079_2022-03-05_final
2022-03-07 09:13:28	ga_ls7e_ard_3-2-1_102079_2022-03-06_final
2022-03-08 08:16:57	ga_ls7e_ard_3-2-1_093077_2022-03-07_final
2022-03-11 08:49:08	ga_ls7e_ard_3-2-1_098081_2022-03-10_final
2022-03-14 09:16:56	ga_ls7e_ard_3-2-1_103074_2022-03-13_final
2022-03-15 08:22:25	ga_ls7e_ard_3-2-1_094077_2022-03-14_final
2022-03-29 08:35:02	ga_ls7e_ard_3-2-1_096081_2022-03-28_final
2022-03-30 09:13:49	ga_ls7e_ard_3-2-1_103070_2022-03-29_final
2022-04-01 09:03:15	ga_ls7e_ard_3-2-1_101075_2022-03-31_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