Search ga_s2am_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 (e.g. ‘epsg:32654’) :

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):

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:

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 Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_50HPG_2016-06-25_final.stac-item
2016-07-07 12:13:46	ga_s2am_ard_3-2-1_50KKA_2016-07-07_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50HLK_2016-08-10_final.stac-item
2016-10-30 11:18:19	ga_s2am_ard_3-2-1_51KXQ_2016-10-30_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_50KKU_2016-11-01_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_50KKA_2016-12-01_final.stac-item
2016-12-05 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2016-12-05_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51KWA_2016-12-12_final
2017-02-13 11:37:46	ga_s2am_ard_3-2-1_51KUT_2017-02-13_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50JNQ_2017-02-26_final
2017-03-05 11:37:45	ga_s2am_ard_3-2-1_51KUA_2017-03-05_final.stac-item
2017-07-03 11:37:51	ga_s2am_ard_3-2-1_51KTU_2017-07-03_final
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_50JKN_2017-08-18_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51HUE_2017-10-05_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_49JGM_2017-10-17_final
2017-11-26 12:05:06	ga_s2am_ard_3-2-1_50JKN_2017-11-26_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_50KKA_2018-02-27_final
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_49KHR_2018-04-15_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51HTC_2018-05-26_final
2018-06-01 11:46:56	ga_s2am_ard_3-2-1_50KQG_2018-06-01_final.stac-item
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49KHR_2018-07-17_final
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HNK_2018-08-17_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JLN_2018-08-30_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JLQ_2018-08-30_final
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_51HTD_2018-09-13_final
2018-10-23 11:26:17	ga_s2am_ard_3-2-1_51KXV_2018-10-23_final
2019-01-25 11:14:20	ga_s2am_ard_3-2-1_51JZN_2019-01-25_final
2019-03-11 12:04:02	ga_s2am_ard_3-2-1_50KKV_2019-03-11_final.stac-item
2019-03-28 11:53:17	ga_s2am_ard_3-2-1_50KQC_2019-03-28_final
2019-06-10 11:32:53	ga_s2am_ard_3-2-1_51KYU_2019-06-10_final
2019-07-09 12:05:06	ga_s2am_ard_3-2-1_49JGM_2019-07-09_final
2019-08-09 11:36:18	ga_s2am_ard_3-2-1_51JUF_2019-08-09_final
2019-10-27 12:04:46	ga_s2am_ard_3-2-1_49JHN_2019-10-27_final
2019-10-28 11:36:08	ga_s2am_ard_3-2-1_50JQM_2019-10-28_final
2019-11-17 11:32:45	ga_s2am_ard_3-2-1_51KWV_2019-11-17_final
2019-12-06 12:05:24	ga_s2am_ard_3-2-1_50JKQ_2019-12-06_final
2019-12-30 11:47:15	ga_s2am_ard_3-2-1_50HNG_2019-12-30_final.stac-item
2020-02-01 11:56:10	ga_s2am_ard_3-2-1_50JNL_2020-02-01_final
2020-02-22 11:23:34	ga_s2am_ard_3-2-1_51KYR_2020-02-22_final
2020-03-05 12:05:25	ga_s2am_ard_3-2-1_49JGK_2020-03-05_final
2020-03-19 11:46:50	ga_s2am_ard_3-2-1_50HQH_2020-03-19_final
2020-03-23 11:23:35	ga_s2am_ard_3-2-1_51KYR_2020-03-23_final
2020-04-04 12:04:42	ga_s2am_ard_3-2-1_49JGN_2020-04-04_final
2020-05-02 11:26:50	ga_s2am_ard_3-2-1_51HUD_2020-05-02_final
2020-06-17 11:43:10	ga_s2am_ard_3-2-1_50KRD_2020-06-17_final
2020-07-16 12:13:59	ga_s2am_ard_3-2-1_50KKA_2020-07-16_final
2020-07-31 11:23:59	ga_s2am_ard_3-2-1_51KYQ_2020-07-31_final
2020-08-06 11:46:01	ga_s2am_ard_3-2-1_51JTG_2020-08-06_final
2020-08-20 11:26:42	ga_s2am_ard_3-2-1_51HXD_2020-08-20_final
2020-08-23 11:37:23	ga_s2am_ard_3-2-1_50HQG_2020-08-23_final.stac-item
2020-08-26 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2020-08-26_final
2020-12-13 12:14:57	ga_s2am_ard_3-2-1_49JFM_2020-12-13_final
2020-12-18 11:26:52	ga_s2am_ard_3-2-1_51HWC_2020-12-18_final.stac-item
2021-02-09 11:32:39	ga_s2am_ard_3-2-1_51KXV_2021-02-09_final
2021-02-09 11:33:08	ga_s2am_ard_3-2-1_51KXT_2021-02-09_final
2021-02-28 12:04:42	ga_s2am_ard_3-2-1_50JKT_2021-02-28_final
2021-03-17 11:53:16	ga_s2am_ard_3-2-1_50KQC_2021-03-17_final
2021-04-13 11:42:22	ga_s2am_ard_3-2-1_51KVA_2021-04-13_final
2021-04-13 11:44:07	ga_s2am_ard_3-2-1_51KUP_2021-04-13_final
2021-04-13 11:47:11	ga_s2am_ard_3-2-1_50HPG_2021-04-13_final.stac-item
2021-05-10 11:32:19	ga_s2am_ard_3-2-1_51KVB_2021-05-10_final
2021-05-23 11:46:38	ga_s2am_ard_3-2-1_50HNK_2021-05-23_final
2021-06-25 11:56:05	ga_s2am_ard_3-2-1_50JNM_2021-06-25_final
2021-07-28 12:03:44	ga_s2am_ard_3-2-1_50KLB_2021-07-28_final
2021-08-17 12:03:47	ga_s2am_ard_3-2-1_50KKB_2021-08-17_final
2021-08-18 11:33:00	ga_s2am_ard_3-2-1_51KWU_2021-08-18_final
2021-08-27 12:04:30	ga_s2am_ard_3-2-1_49KHP_2021-08-27_final
2021-09-07 11:32:20	ga_s2am_ard_3-2-1_51KVB_2021-09-07_final
2021-09-24 11:26:36	ga_s2am_ard_3-2-1_51HUE_2021-09-24_final
2021-09-26 12:04:35	ga_s2am_ard_3-2-1_49KGP_2021-09-26_final
2021-11-02 11:56:44	ga_s2am_ard_3-2-1_50HLK_2021-11-02_final
2021-11-26 11:32:40	ga_s2am_ard_3-2-1_51KXV_2021-11-26_final
2021-11-26 11:36:28	ga_s2am_ard_3-2-1_51HUE_2021-11-26_final
2022-02-04 11:33:59	ga_s2am_ard_3-2-1_51KVQ_2022-02-04_final
2022-02-14 11:34:29	ga_s2am_ard_3-2-1_51JVN_2022-02-14_final
2022-02-24 11:33:59	ga_s2am_ard_3-2-1_51KWQ_2022-02-24_final
2022-03-09 11:42:17	ga_s2am_ard_3-2-1_51KVB_2022-03-09_final
2022-03-15 12:04:46	ga_s2am_ard_3-2-1_49JHN_2022-03-15_final
2022-04-25 11:32:19	ga_s2am_ard_3-2-1_51KWB_2022-04-25_final
2022-05-02 11:25:00	ga_s2am_ard_3-2-1_51JXL_2022-05-02_final
2022-05-15 11:32:51	ga_s2am_ard_3-2-1_51KVV_2022-05-15_final
2022-05-22 11:25:16	ga_s2am_ard_3-2-1_51JXK_2022-05-22_final
2022-08-02 12:04:09	ga_s2am_ard_3-2-1_49KHR_2022-08-02_final
2022-10-05 11:46:55	ga_s2am_ard_3-2-1_50HPJ_2022-10-05_final.stac-item
2022-12-11 11:36:49	ga_s2am_ard_3-2-1_50HQJ_2022-12-11_final.stac-item
2023-01-10 11:32:35	ga_s2am_ard_3-2-1_51KYV_2023-01-10_final.stac-item
2023-01-10 11:32:38	ga_s2am_ard_3-2-1_51KXV_2023-01-10_final.stac-item
2023-01-26 11:53:14	ga_s2am_ard_3-2-1_50KQC_2023-01-26_final.stac-item
2023-02-05 11:53:23	ga_s2am_ard_3-2-1_50KNC_2023-02-05_final.stac-item
2023-04-09 12:04:43	ga_s2am_ard_3-2-1_50JKT_2023-04-09_final.stac-item
2023-04-20 11:34:34	ga_s2am_ard_3-2-1_51JTN_2023-04-20_final.stac-item
2023-04-27 11:24:15	ga_s2am_ard_3-2-1_51KWP_2023-04-27_final.stac-item
2023-07-16 11:23:44	ga_s2am_ard_3-2-1_51KYR_2023-07-16_final.stac-item
2023-09-17 11:32:23	ga_s2am_ard_3-2-1_51KVB_2023-09-17_final.stac-item
2023-09-30 11:47:29	ga_s2am_ard_3-2-1_50HLG_2023-09-30_final.stac-item
2023-12-06 11:35:01	ga_s2am_ard_3-2-1_51JWK_2023-12-06_final.stac-item
2024-01-21 11:55:52	ga_s2am_ard_3-2-1_50JKN_2024-01-21_final.stac-item
2024-02-10 11:55:56	ga_s2am_ard_3-2-1_50JKN_2024-02-10_final.stac-item
2024-04-10 11:55:46	ga_s2am_ard_3-2-1_50JKP_2024-04-10_final.stac-item
2024-04-11 11:24:09	ga_s2am_ard_3-2-1_51KYP_2024-04-11_final.stac-item

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years