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
2021-01-29 10:00:31	ga_ls7e_ard_3-2-0_104077_2021-01-29_final
2021-02-06 10:48:58	ga_ls7e_ard_3-2-0_112076_2021-02-06_final
2021-02-16 09:47:13	ga_ls7e_ard_3-2-0_102078_2021-02-16_final
2021-02-17 10:32:24	ga_ls7e_ard_3-2-0_109083_2021-02-17_final
2021-02-21 10:06:35	ga_ls7e_ard_3-2-0_105081_2021-02-21_final
2021-02-24 10:36:03	ga_ls7e_ard_3-2-0_110078_2021-02-24_final
2021-03-05 10:26:23	ga_ls7e_ard_3-2-0_109071_2021-03-05_final
2021-03-08 09:21:21	ga_ls7e_ard_3-2-0_098079_2021-03-07_final
2021-03-11 09:51:13	ga_ls7e_ard_3-2-0_103077_2021-03-11_final
2021-03-17 09:14:52	ga_ls7e_ard_3-2-0_097080_2021-03-16_final
2021-03-18 09:53:39	ga_ls7e_ard_3-2-0_104069_2021-03-18_final
2021-03-19 08:59:33	ga_ls7e_ard_3-2-0_095073_2021-03-18_final
2021-03-19 09:03:09	ga_ls7e_ard_3-2-0_095082_2021-03-18_final
2021-03-28 10:30:43	ga_ls7e_ard_3-2-0_110071_2021-03-28_final
2021-04-01 10:07:16	ga_ls7e_ard_3-2-0_106075_2021-04-01_final
2021-04-15 10:18:52	ga_ls7e_ard_3-2-0_108076_2021-04-15_final
2021-04-22 08:49:10	ga_ls7e_ard_3-2-0_093085_2021-04-21_final
2021-04-25 09:17:25	ga_ls7e_ard_3-2-0_098079_2021-04-24_final
2021-04-29 08:55:09	ga_ls7e_ard_3-2-0_094086_2021-04-28_final
2021-04-29 10:30:50	ga_ls7e_ard_3-2-0_110078_2021-04-29_final
2021-05-02 09:23:01	ga_ls7e_ard_3-2-0_099079_2021-05-01_final
2021-05-13 09:01:57	ga_ls7e_ard_3-2-0_096075_2021-05-12_final
2021-05-15 08:54:13	ga_ls7e_ard_3-2-0_094087_2021-05-14_final
2021-05-15 10:27:31	ga_ls7e_ard_3-2-0_110073_2021-05-15_final
2021-05-18 09:23:16	ga_ls7e_ard_3-2-0_099083_2021-05-17_final
2021-05-25 09:26:51	ga_ls7e_ard_3-2-0_100078_2021-05-24_final
2021-05-31 10:28:08	ga_ls7e_ard_3-2-0_110078_2021-05-31_final
2021-06-04 08:24:36	ga_ls7e_ard_3-2-0_090079_2021-06-03_final
2021-06-04 08:28:36	ga_ls7e_ard_3-2-0_090089_2021-06-03_final
2021-06-05 10:47:51	ga_ls7e_ard_3-2-0_113082_2021-06-05_final
2021-06-06 09:48:34	ga_ls7e_ard_3-2-0_104073_2021-06-06_final
2021-06-08 09:39:38	ga_ls7e_ard_3-2-0_102082_2021-06-08_final
2021-06-13 08:16:54	ga_ls7e_ard_3-2-0_089077_2021-06-12_final
2021-06-13 09:54:59	ga_ls7e_ard_3-2-0_105075_2021-06-13_final
2021-06-16 10:26:50	ga_ls7e_ard_3-2-0_110078_2021-06-16_final
2021-06-20 10:00:59	ga_ls7e_ard_3-2-0_106076_2021-06-20_final
2021-06-25 10:18:19	ga_ls7e_ard_3-2-0_109074_2021-06-25_final
2021-06-26 09:26:36	ga_ls7e_ard_3-2-0_100084_2021-06-25_final
2021-06-27 08:32:06	ga_ls7e_ard_3-2-0_091087_2021-06-26_final
2021-07-07 09:03:56	ga_ls7e_ard_3-2-0_097076_2021-07-06_final
2021-07-16 10:35:04	ga_ls7e_ard_3-2-0_112074_2021-07-16_final
2021-07-23 09:03:22	ga_ls7e_ard_3-2-0_097078_2021-07-22_final
2021-07-23 10:43:03	ga_ls7e_ard_3-2-0_113080_2021-07-23_final
2021-07-30 09:04:57	ga_ls7e_ard_3-2-0_098068_2021-07-29_final
2021-08-01 08:57:12	ga_ls7e_ard_3-2-0_096080_2021-07-31_final
2021-08-02 09:35:35	ga_ls7e_ard_3-2-0_103068_2021-08-02_final
2021-08-05 10:08:13	ga_ls7e_ard_3-2-0_108073_2021-08-05_final
2021-08-06 09:10:07	ga_ls7e_ard_3-2-0_099067_2021-08-05_final
2021-08-24 08:56:58	ga_ls7e_ard_3-2-0_097069_2021-08-23_final
2021-09-02 08:54:00	ga_ls7e_ard_3-2-0_096079_2021-09-01_final
2021-09-07 09:12:30	ga_ls7e_ard_3-2-0_099080_2021-09-06_final
2021-09-15 08:25:09	ga_ls7e_ard_3-2-0_091087_2021-09-14_final
2021-09-15 09:57:38	ga_ls7e_ard_3-2-0_107071_2021-09-15_final
2021-09-16 10:39:13	ga_ls7e_ard_3-2-0_114067_2021-09-16_final
2021-09-20 08:41:39	ga_ls7e_ard_3-2-0_094083_2021-09-19_final
2021-09-21 09:22:25	ga_ls7e_ard_3-2-0_101077_2021-09-20_final
2021-09-24 09:49:27	ga_ls7e_ard_3-2-0_106068_2021-09-24_final
2021-09-28 09:26:22	ga_ls7e_ard_3-2-0_102073_2021-09-27_final
2021-10-03 08:07:11	ga_ls7e_ard_3-2-0_089077_2021-10-02_final
2021-10-06 08:41:01	ga_ls7e_ard_3-2-0_094085_2021-10-05_final
2021-10-06 10:16:18	ga_ls7e_ard_3-2-0_110076_2021-10-06_final
2021-10-09 09:09:16	ga_ls7e_ard_3-2-0_099079_2021-10-08_final
2021-10-11 10:34:01	ga_ls7e_ard_3-2-0_113075_2021-10-11_final
2021-10-24 08:25:51	ga_ls7e_ard_3-2-0_092082_2021-10-23_final
2021-11-02 09:52:56	ga_ls7e_ard_3-2-0_107070_2021-11-02_final
2021-11-02 09:57:43	ga_ls7e_ard_3-2-0_107082_2021-11-02_final
2021-11-09 08:24:21	ga_ls7e_ard_3-2-0_092082_2021-11-08_final
2021-11-10 09:08:19	ga_ls7e_ard_3-2-0_099084_2021-11-09_final
2021-11-14 10:17:42	ga_ls7e_ard_3-2-1_111073_2021-11-14_final
2021-11-14 10:18:29	ga_ls7e_ard_3-2-1_111075_2021-11-14_final
2021-11-22 09:27:28	ga_ls7e_ard_3-2-1_103073_2021-11-21_final
2021-11-29 09:32:59	ga_ls7e_ard_3-2-1_104073_2021-11-29_final
2021-11-30 10:16:09	ga_ls7e_ard_3-2-1_111073_2021-11-30_final
2021-12-01 09:20:27	ga_ls7e_ard_3-2-1_102073_2021-11-30_final
2021-12-11 09:56:35	ga_ls7e_ard_3-2-1_108073_2021-12-11_final
2021-12-14 10:28:23	ga_ls7e_ard_3-2-1_113076_2021-12-14_final
2021-12-20 08:13:27	ga_ls7e_ard_3-2-1_091080_2021-12-19_final
2021-12-20 09:50:20	ga_ls7e_ard_3-2-1_107075_2021-12-20_final
2021-12-30 08:49:32	ga_ls7e_ard_3-2-1_097080_2021-12-29_final
2021-12-30 10:29:12	ga_ls7e_ard_3-2-1_113082_2021-12-30_final
2022-01-08 10:19:45	ga_ls7e_ard_3-2-1_112076_2022-01-08_final
2022-01-09 09:26:02	ga_ls7e_ard_3-2-1_103081_2022-01-08_final
2022-01-10 10:05:12	ga_ls7e_ard_3-2-1_110071_2022-01-10_final
2022-01-10 10:09:59	ga_ls7e_ard_3-2-1_110083_2022-01-10_final
2022-01-11 09:13:53	ga_ls7e_ard_3-2-1_101082_2022-01-10_final
2022-01-13 08:57:45	ga_ls7e_ard_3-2-1_099073_2022-01-12_final
2022-01-22 10:32:46	ga_ls7e_ard_3-2-1_114081_2022-01-22_final
2022-01-24 08:38:33	ga_ls7e_ard_3-2-1_096074_2022-01-23_final
2022-01-31 10:25:42	ga_ls7e_ard_3-2-1_113081_2022-01-31_final
2022-02-07 08:49:30	ga_ls7e_ard_3-2-1_098074_2022-02-06_final
2022-02-15 09:39:42	ga_ls7e_ard_3-2-1_106078_2022-02-15_final
2022-02-16 08:42:23	ga_ls7e_ard_3-2-1_097074_2022-02-15_final
2022-03-04 08:40:04	ga_ls7e_ard_3-2-1_097072_2022-03-03_final
2022-03-04 10:22:32	ga_ls7e_ard_3-2-1_113081_2022-03-04_final
2022-03-11 08:47:09	ga_ls7e_ard_3-2-1_098076_2022-03-10_final
2022-03-18 10:31:29	ga_ls7e_ard_3-2-1_115076_2022-03-18_final
2022-03-25 08:58:08	ga_ls7e_ard_3-2-1_100076_2022-03-24_final
2022-03-27 10:24:04	ga_ls7e_ard_3-2-1_114075_2022-03-27_final
2022-03-29 10:13:07	ga_ls7e_ard_3-2-1_112079_2022-03-29_final
2022-03-29 10:15:07	ga_ls7e_ard_3-2-1_112084_2022-03-29_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years