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
2021-03-04 09:43:36	ga_ls7e_ard_3-2-0_102072_2021-03-04_final
2021-03-15 11:04:40	ga_ls7e_ard_3-2-0_115076_2021-03-15_final
2021-03-31 11:03:46	ga_ls7e_ard_3-2-0_115077_2021-03-31_final
2021-04-09 09:15:11	ga_ls7e_ard_3-2-0_098070_2021-04-08_final
2021-04-11 09:07:26	ga_ls7e_ard_3-2-0_096082_2021-04-10_final
2021-04-15 08:43:59	ga_ls7e_ard_3-2-0_092086_2021-04-14_final
2021-04-15 10:21:16	ga_ls7e_ard_3-2-0_108082_2021-04-15_final
2021-04-18 09:11:50	ga_ls7e_ard_3-2-0_097079_2021-04-17_final
2021-04-25 10:54:18	ga_ls7e_ard_3-2-0_114074_2021-04-25_final
2021-04-29 10:30:50	ga_ls7e_ard_3-2-0_110078_2021-04-29_final
2021-04-29 10:31:38	ga_ls7e_ard_3-2-0_110080_2021-04-29_final
2021-04-29 10:32:02	ga_ls7e_ard_3-2-0_110081_2021-04-29_final
2021-04-30 09:34:20	ga_ls7e_ard_3-2-0_101076_2021-04-30_final
2021-05-03 10:04:11	ga_ls7e_ard_3-2-0_106074_2021-05-03_final
2021-05-08 10:26:18	ga_ls7e_ard_3-2-0_109084_2021-05-08_final
2021-05-15 10:29:30	ga_ls7e_ard_3-2-0_110078_2021-05-15_final
2021-05-20 10:49:13	ga_ls7e_ard_3-2-0_113082_2021-05-20_final
2021-06-02 08:38:19	ga_ls7e_ard_3-2-0_092082_2021-06-01_final
2021-06-02 10:15:12	ga_ls7e_ard_3-2-0_108077_2021-06-02_final
2021-06-09 08:41:08	ga_ls7e_ard_3-2-0_093075_2021-06-08_final
2021-06-09 10:18:25	ga_ls7e_ard_3-2-0_109071_2021-06-09_final
2021-06-09 10:21:37	ga_ls7e_ard_3-2-0_109079_2021-06-09_final
2021-06-14 10:41:21	ga_ls7e_ard_3-2-0_112083_2021-06-14_final
2021-06-15 09:43:15	ga_ls7e_ard_3-2-0_103077_2021-06-15_final
2021-06-17 09:32:19	ga_ls7e_ard_3-2-0_101081_2021-06-17_final
2021-06-18 08:35:02	ga_ls7e_ard_3-2-0_092077_2021-06-17_final
2021-06-21 09:04:29	ga_ls7e_ard_3-2-0_097074_2021-06-20_final
2021-06-24 09:37:08	ga_ls7e_ard_3-2-0_102079_2021-06-24_final
2021-06-25 10:17:31	ga_ls7e_ard_3-2-0_109072_2021-06-25_final
2021-06-28 10:48:58	ga_ls7e_ard_3-2-0_114074_2021-06-28_final
2021-07-03 09:31:00	ga_ls7e_ard_3-2-0_101081_2021-07-03_final
2021-07-11 08:40:53	ga_ls7e_ard_3-2-0_093081_2021-07-10_final
2021-07-12 09:21:15	ga_ls7e_ard_3-2-0_100074_2021-07-11_final
2021-07-14 10:50:00	ga_ls7e_ard_3-2-0_114080_2021-07-14_final
2021-07-15 08:16:37	ga_ls7e_ard_3-2-0_089083_2021-07-14_final
2021-07-25 10:29:43	ga_ls7e_ard_3-2-0_111078_2021-07-25_final
2021-07-27 08:38:18	ga_ls7e_ard_3-2-0_093078_2021-07-26_final
2021-08-19 10:20:07	ga_ls7e_ard_3-2-0_110075_2021-08-19_final
2021-08-23 08:21:46	ga_ls7e_ard_3-2-0_090089_2021-08-22_final
2021-08-23 09:54:40	ga_ls7e_ard_3-2-0_106074_2021-08-23_final
2021-08-24 10:39:26	ga_ls7e_ard_3-2-0_113078_2021-08-24_final
2021-08-29 09:15:52	ga_ls7e_ard_3-2-0_100071_2021-08-28_final
2021-08-31 09:05:20	ga_ls7e_ard_3-2-0_098076_2021-08-30_final
2021-09-01 09:46:07	ga_ls7e_ard_3-2-0_105070_2021-09-01_final
2021-09-02 10:34:04	ga_ls7e_ard_3-2-0_112082_2021-09-02_final
2021-09-04 08:44:39	ga_ls7e_ard_3-2-0_094087_2021-09-03_final
2021-09-21 09:22:25	ga_ls7e_ard_3-2-0_101077_2021-09-20_final
2021-09-23 09:12:16	ga_ls7e_ard_3-2-0_099083_2021-09-22_final
2021-09-28 09:25:10	ga_ls7e_ard_3-2-0_102070_2021-09-27_final
2021-10-06 10:15:31	ga_ls7e_ard_3-2-0_110074_2021-10-06_final
2021-10-06 10:16:18	ga_ls7e_ard_3-2-0_110076_2021-10-06_final
2021-10-12 09:38:42	ga_ls7e_ard_3-2-0_104076_2021-10-12_final
2021-10-13 10:19:53	ga_ls7e_ard_3-2-0_111071_2021-10-13_final
2021-10-18 10:39:58	ga_ls7e_ard_3-2-0_114076_2021-10-18_final
2021-10-19 09:44:39	ga_ls7e_ard_3-2-0_105077_2021-10-19_final
2021-10-26 09:50:36	ga_ls7e_ard_3-2-0_106078_2021-10-26_final
2021-11-02 09:54:55	ga_ls7e_ard_3-2-0_107075_2021-11-02_final
2021-11-03 08:57:13	ga_ls7e_ard_3-2-0_098070_2021-11-02_final
2021-11-08 09:18:04	ga_ls7e_ard_3-2-0_101077_2021-11-07_final
2021-11-10 09:08:19	ga_ls7e_ard_3-2-0_099084_2021-11-09_final
2021-11-10 10:44:24	ga_ls7e_ard_3-2-0_115077_2021-11-10_final
2021-11-16 10:08:20	ga_ls7e_ard_3-2-1_109081_2021-11-16_final
2021-11-22 09:26:40	ga_ls7e_ard_3-2-1_103071_2021-11-21_final
2021-11-23 10:09:50	ga_ls7e_ard_3-2-1_110071_2021-11-23_final
2021-11-27 09:46:44	ga_ls7e_ard_3-2-1_106076_2021-11-27_final
2021-11-30 10:16:09	ga_ls7e_ard_3-2-1_111073_2021-11-30_final
2021-12-01 09:18:51	ga_ls7e_ard_3-2-1_102069_2021-11-30_final
2021-12-04 08:18:34	ga_ls7e_ard_3-2-1_091089_2021-12-03_final
2021-12-06 09:38:55	ga_ls7e_ard_3-2-1_105074_2021-12-06_final
2021-12-06 09:40:55	ga_ls7e_ard_3-2-1_105079_2021-12-06_final
2021-12-11 08:18:54	ga_ls7e_ard_3-2-1_092076_2021-12-10_final
2021-12-12 10:42:08	ga_ls7e_ard_3-2-1_115079_2021-12-12_final
2021-12-14 08:49:55	ga_ls7e_ard_3-2-1_097077_2021-12-13_final
2021-12-17 09:22:31	ga_ls7e_ard_3-2-1_102082_2021-12-16_final
2021-12-18 08:23:37	ga_ls7e_ard_3-2-1_093074_2021-12-17_final
2021-12-19 09:05:58	ga_ls7e_ard_3-2-1_100072_2021-12-18_final
2021-12-25 08:29:30	ga_ls7e_ard_3-2-1_094075_2021-12-24_final
2021-12-26 09:13:04	ga_ls7e_ard_3-2-1_101076_2021-12-25_final
2022-01-06 08:53:25	ga_ls7e_ard_3-2-1_098076_2022-01-05_final
2022-01-08 10:22:32	ga_ls7e_ard_3-2-1_112083_2022-01-08_final
2022-01-15 08:44:24	ga_ls7e_ard_3-2-1_097071_2022-01-14_final
2022-01-23 07:57:47	ga_ls7e_ard_3-2-1_089080_2022-01-22_final
2022-01-24 10:21:01	ga_ls7e_ard_3-2-1_112083_2022-01-24_final
2022-01-28 08:13:50	ga_ls7e_ard_3-2-1_092075_2022-01-27_final
2022-02-07 08:50:18	ga_ls7e_ard_3-2-1_098076_2022-02-06_final
2022-02-14 10:34:14	ga_ls7e_ard_3-2-1_115075_2022-02-14_final
2022-02-15 09:37:43	ga_ls7e_ard_3-2-1_106073_2022-02-15_final
2022-02-22 09:47:37	ga_ls7e_ard_3-2-1_107084_2022-02-22_final
2022-03-07 09:09:52	ga_ls7e_ard_3-2-1_102070_2022-03-06_final
2022-03-07 09:13:52	ga_ls7e_ard_3-2-1_102080_2022-03-06_final
2022-03-10 08:09:11	ga_ls7e_ard_3-2-1_091089_2022-03-09_final
2022-03-11 08:45:09	ga_ls7e_ard_3-2-1_098071_2022-03-10_final
2022-03-11 08:46:21	ga_ls7e_ard_3-2-1_098074_2022-03-10_final
2022-03-13 08:33:47	ga_ls7e_ard_3-2-1_096074_2022-03-12_final
2022-03-15 08:26:01	ga_ls7e_ard_3-2-1_094086_2022-03-14_final
2022-03-27 10:25:16	ga_ls7e_ard_3-2-1_114078_2022-03-27_final
2022-03-28 09:29:57	ga_ls7e_ard_3-2-1_105079_2022-03-27_final
2022-03-29 10:13:55	ga_ls7e_ard_3-2-1_112081_2022-03-29_final
2022-03-30 09:13:01	ga_ls7e_ard_3-2-1_103068_2022-03-29_final
2022-04-02 08:12:43	ga_ls7e_ard_3-2-1_092088_2022-04-01_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