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
2021-04-24 10:15:07	ga_ls7e_ard_3-2-0_107084_2021-04-24_final
2021-05-07 09:38:44	ga_ls7e_ard_3-2-0_102073_2021-05-07_final
2021-05-10 08:34:06	ga_ls7e_ard_3-2-0_091082_2021-05-09_final
2021-05-15 10:27:31	ga_ls7e_ard_3-2-0_110073_2021-05-15_final
2021-05-19 10:06:02	ga_ls7e_ard_3-2-0_106082_2021-05-19_final
2021-05-24 10:24:33	ga_ls7e_ard_3-2-0_109083_2021-05-24_final
2021-05-25 09:28:27	ga_ls7e_ard_3-2-0_100082_2021-05-24_final
2021-05-31 10:28:56	ga_ls7e_ard_3-2-0_110080_2021-05-31_final
2021-06-02 10:14:00	ga_ls7e_ard_3-2-0_108074_2021-06-02_final
2021-06-04 08:26:12	ga_ls7e_ard_3-2-0_090083_2021-06-03_final
2021-06-08 09:35:15	ga_ls7e_ard_3-2-0_102071_2021-06-08_final
2021-06-11 10:05:30	ga_ls7e_ard_3-2-0_107070_2021-06-11_final
2021-06-12 09:14:59	ga_ls7e_ard_3-2-0_098083_2021-06-11_final
2021-06-15 09:44:27	ga_ls7e_ard_3-2-0_103080_2021-06-15_final
2021-06-19 09:18:12	ga_ls7e_ard_3-2-0_099077_2021-06-18_final
2021-06-27 10:06:11	ga_ls7e_ard_3-2-0_107075_2021-06-27_final
2021-06-30 08:59:33	ga_ls7e_ard_3-2-0_096079_2021-06-29_final
2021-07-09 10:29:30	ga_ls7e_ard_3-2-0_111074_2021-07-09_final
2021-07-11 10:20:57	ga_ls7e_ard_3-2-0_109084_2021-07-11_final
2021-07-21 09:12:19	ga_ls7e_ard_3-2-0_099069_2021-07-20_final
2021-07-22 09:59:52	ga_ls7e_ard_3-2-0_106080_2021-07-22_final
2021-07-25 08:53:14	ga_ls7e_ard_3-2-0_095084_2021-07-24_final
2021-08-01 08:58:00	ga_ls7e_ard_3-2-0_096082_2021-07-31_final
2021-08-02 09:35:35	ga_ls7e_ard_3-2-0_103068_2021-08-02_final
2021-08-06 09:15:18	ga_ls7e_ard_3-2-0_099080_2021-08-05_final
2021-08-13 09:22:03	ga_ls7e_ard_3-2-0_100083_2021-08-12_final
2021-09-01 08:10:50	ga_ls7e_ard_3-2-0_089079_2021-08-31_final
2021-09-07 09:08:31	ga_ls7e_ard_3-2-0_099070_2021-09-06_final
2021-09-07 09:08:55	ga_ls7e_ard_3-2-0_099071_2021-09-06_final
2021-09-10 09:38:21	ga_ls7e_ard_3-2-0_104068_2021-09-10_final
2021-09-11 10:23:07	ga_ls7e_ard_3-2-0_111072_2021-09-11_final
2021-09-13 08:37:17	ga_ls7e_ard_3-2-0_093086_2021-09-12_final
2021-09-16 09:00:44	ga_ls7e_ard_3-2-0_098068_2021-09-15_final
2021-09-16 09:01:56	ga_ls7e_ard_3-2-0_098071_2021-09-15_final
2021-09-16 09:04:44	ga_ls7e_ard_3-2-0_098078_2021-09-15_final
2021-09-16 09:07:07	ga_ls7e_ard_3-2-0_098084_2021-09-15_final
2021-09-19 09:31:22	ga_ls7e_ard_3-2-0_103068_2021-09-19_final
2021-09-25 10:35:01	ga_ls7e_ard_3-2-0_113074_2021-09-25_final
2021-09-26 09:36:55	ga_ls7e_ard_3-2-0_104068_2021-09-26_final
2021-09-30 09:15:02	ga_ls7e_ard_3-2-0_100076_2021-09-29_final
2021-10-01 09:57:48	ga_ls7e_ard_3-2-0_107075_2021-10-01_final
2021-10-08 10:06:58	ga_ls7e_ard_3-2-0_108084_2021-10-08_final
2021-10-09 09:09:16	ga_ls7e_ard_3-2-0_099079_2021-10-08_final
2021-10-09 10:46:57	ga_ls7e_ard_3-2-0_115076_2021-10-09_final
2021-10-10 09:49:38	ga_ls7e_ard_3-2-0_106072_2021-10-10_final
2021-10-16 09:16:25	ga_ls7e_ard_3-2-0_100083_2021-10-15_final
2021-10-25 10:44:42	ga_ls7e_ard_3-2-0_115074_2021-10-25_final
2021-10-25 10:46:18	ga_ls7e_ard_3-2-0_115078_2021-10-25_final
2021-10-26 09:47:24	ga_ls7e_ard_3-2-0_106070_2021-10-26_final
2021-10-31 08:33:23	ga_ls7e_ard_3-2-0_093087_2021-10-30_final
2021-11-07 10:16:35	ga_ls7e_ard_3-2-0_110084_2021-11-07_final
2021-11-12 10:30:39	ga_ls7e_ard_3-2-1_113074_2021-11-12_final
2021-11-18 09:51:23	ga_ls7e_ard_3-2-1_107070_2021-11-18_final
2021-11-25 10:02:04	ga_ls7e_ard_3-2-1_108083_2021-11-25_final
2021-11-26 10:41:39	ga_ls7e_ard_3-2-1_115074_2021-11-26_final
2021-12-04 08:17:23	ga_ls7e_ard_3-2-1_091086_2021-12-03_final
2021-12-04 09:50:16	ga_ls7e_ard_3-2-1_107071_2021-12-04_final
2021-12-04 09:55:03	ga_ls7e_ard_3-2-1_107083_2021-12-04_final
2021-12-09 10:08:44	ga_ls7e_ard_3-2-1_110072_2021-12-09_final
2021-12-12 09:02:52	ga_ls7e_ard_3-2-1_099078_2021-12-11_final
2021-12-12 10:42:08	ga_ls7e_ard_3-2-1_115079_2021-12-12_final
2021-12-20 08:11:51	ga_ls7e_ard_3-2-1_091076_2021-12-19_final
2021-12-21 08:58:36	ga_ls7e_ard_3-2-1_098085_2021-12-20_final
2021-12-22 08:02:06	ga_ls7e_ard_3-2-1_089083_2021-12-21_final
2021-12-23 08:46:27	ga_ls7e_ard_3-2-1_096086_2021-12-22_final
2021-12-25 10:07:59	ga_ls7e_ard_3-2-1_110074_2021-12-25_final
2021-12-27 09:59:01	ga_ls7e_ard_3-2-1_108083_2021-12-27_final
2022-01-03 08:23:12	ga_ls7e_ard_3-2-1_093077_2022-01-02_final
2022-01-03 10:00:29	ga_ls7e_ard_3-2-1_109073_2022-01-03_final
2022-01-03 10:04:53	ga_ls7e_ard_3-2-1_109084_2022-01-03_final
2022-01-10 10:06:48	ga_ls7e_ard_3-2-1_110075_2022-01-10_final
2022-01-12 08:20:58	ga_ls7e_ard_3-2-1_092089_2022-01-11_final
2022-01-12 09:57:27	ga_ls7e_ard_3-2-1_108083_2022-01-12_final
2022-01-15 10:24:52	ga_ls7e_ard_3-2-1_113075_2022-01-15_final
2022-01-17 08:32:15	ga_ls7e_ard_3-2-1_095072_2022-01-16_final
2022-01-18 09:15:01	ga_ls7e_ard_3-2-1_102071_2022-01-17_final
2022-01-18 09:15:48	ga_ls7e_ard_3-2-1_102073_2022-01-17_final
2022-01-19 09:58:58	ga_ls7e_ard_3-2-1_109073_2022-01-19_final
2022-01-23 07:58:35	ga_ls7e_ard_3-2-1_089082_2022-01-22_final
2022-01-23 09:32:40	ga_ls7e_ard_3-2-1_105070_2022-01-23_final
2022-01-24 08:40:56	ga_ls7e_ard_3-2-1_096080_2022-01-23_final
2022-01-30 08:02:28	ga_ls7e_ard_3-2-1_090078_2022-01-29_final
2022-02-15 08:03:37	ga_ls7e_ard_3-2-1_090085_2022-02-14_final
2022-02-23 10:29:35	ga_ls7e_ard_3-2-1_114081_2022-02-23_final
2022-03-02 10:33:53	ga_ls7e_ard_3-2-1_115078_2022-03-02_final
2022-03-03 08:01:42	ga_ls7e_ard_3-2-1_090084_2022-03-02_final
2022-03-04 10:19:44	ga_ls7e_ard_3-2-1_113074_2022-03-04_final
2022-03-08 08:20:56	ga_ls7e_ard_3-2-1_093087_2022-03-07_final
2022-03-08 09:58:13	ga_ls7e_ard_3-2-1_109083_2022-03-08_final
2022-03-10 09:42:28	ga_ls7e_ard_3-2-1_107075_2022-03-10_final
2022-03-11 10:26:01	ga_ls7e_ard_3-2-1_114076_2022-03-11_final
2022-03-12 07:55:25	ga_ls7e_ard_3-2-1_089086_2022-03-11_final
2022-03-15 10:00:30	ga_ls7e_ard_3-2-1_110075_2022-03-15_final
2022-03-15 10:00:54	ga_ls7e_ard_3-2-1_110076_2022-03-15_final
2022-03-19 09:33:47	ga_ls7e_ard_3-2-1_106071_2022-03-19_final
2022-03-22 08:31:07	ga_ls7e_ard_3-2-1_095085_2022-03-21_final
2022-03-25 08:57:20	ga_ls7e_ard_3-2-1_100074_2022-03-24_final
2022-03-29 10:13:55	ga_ls7e_ard_3-2-1_112081_2022-03-29_final
2022-04-02 09:45:37	ga_ls7e_ard_3-2-1_108073_2022-04-02_final
2022-04-03 08:54:17	ga_ls7e_ard_3-2-1_099084_2022-04-02_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