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
2015-11-14 11:47:22	ga_s2am_ard_3-2-1_50KQF_2015-11-14_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50HMJ_2015-12-04_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_51KUT_2016-03-20_final.stac-item
2016-04-30 11:14:04	ga_s2am_ard_3-2-1_51HXD_2016-04-30_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51KUT_2016-05-16_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51HUE_2016-06-12_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_49KGP_2016-06-24_final.stac-item
2016-07-27 12:14:46	ga_s2am_ard_3-2-1_49JGM_2016-07-27_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_51JXJ_2016-07-29_final.stac-item
2016-08-20 11:56:10	ga_s2am_ard_3-2-1_50JLM_2016-08-20_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JML_2016-09-19_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KUS_2016-12-22_final
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50KQG_2017-01-07_final.stac-item
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_51HUE_2017-02-10_final
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50JML_2017-05-04_final
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50HNK_2017-05-27_final
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50JLL_2017-05-27_final
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50JPL_2017-09-01_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_50JQM_2017-09-28_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_50JQN_2017-09-28_final
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50KRD_2017-10-11_final
2017-10-28 11:36:03	ga_s2am_ard_3-2-1_51HVE_2017-10-28_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50KNC_2017-11-26_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49JGL_2017-12-19_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HMG_2018-01-19_final.stac-item
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HPK_2018-01-19_final
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50JMN_2018-05-02_final
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_51HUD_2018-05-06_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JKP_2018-05-25_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_50JKN_2018-06-14_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HNG_2018-06-28_final.stac-item
2018-10-20 11:23:51	ga_s2am_ard_3-2-1_51HUC_2018-10-20_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HLG_2018-10-26_final.stac-item
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51KUT_2018-11-05_final
2018-12-06 11:16:03	ga_s2am_ard_3-2-1_51JXF_2018-12-06_final
2018-12-06 11:16:22	ga_s2am_ard_3-2-1_51HWE_2018-12-06_final
2018-12-15 11:46:17	ga_s2am_ard_3-2-1_50JML_2018-12-15_final
2018-12-31 12:03:17	ga_s2am_ard_3-2-1_50KMC_2018-12-31_final
2019-04-10 12:05:57	ga_s2am_ard_3-2-1_50JKN_2019-04-10_final
2019-04-23 12:14:44	ga_s2am_ard_3-2-1_49JGN_2019-04-23_final
2019-04-28 11:27:11	ga_s2am_ard_3-2-1_51HTC_2019-04-28_final
2019-05-20 12:03:27	ga_s2am_ard_3-2-1_50KMC_2019-05-20_final
2019-05-21 11:37:30	ga_s2am_ard_3-2-1_50HNG_2019-05-21_final.stac-item
2019-06-06 11:53:13	ga_s2am_ard_3-2-1_50KRC_2019-06-06_final
2019-06-16 11:56:14	ga_s2am_ard_3-2-1_50JLM_2019-06-16_final
2019-06-19 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2019-06-19_final
2019-10-11 11:43:32	ga_s2am_ard_3-2-1_51KUS_2019-10-11_final
2020-01-02 11:53:15	ga_s2am_ard_3-2-1_50KPC_2020-01-02_final
2020-03-05 12:05:11	ga_s2am_ard_3-2-1_49JGL_2020-03-05_final
2020-03-29 11:45:28	ga_s2am_ard_3-2-1_50JQP_2020-03-29_final
2020-04-18 11:43:00	ga_s2am_ard_3-2-1_51KUU_2020-04-18_final
2020-07-01 11:26:59	ga_s2am_ard_3-2-1_51HWC_2020-07-01_final.stac-item
2020-07-06 12:14:46	ga_s2am_ard_3-2-1_49JGN_2020-07-06_final
2020-07-24 11:37:23	ga_s2am_ard_3-2-1_50HQG_2020-07-24_final.stac-item
2020-08-06 11:43:09	ga_s2am_ard_3-2-1_51KTU_2020-08-06_final
2020-12-10 12:05:52	ga_s2am_ard_3-2-1_50JKN_2020-12-10_final
2021-02-05 11:53:31	ga_s2am_ard_3-2-1_50KQB_2021-02-05_final
2021-02-06 11:25:03	ga_s2am_ard_3-2-1_51JVL_2021-02-06_final
2021-03-01 11:33:34	ga_s2am_ard_3-2-1_51KUS_2021-03-01_final
2021-04-29 12:05:38	ga_s2am_ard_3-2-1_50JKP_2021-04-29_final
2021-04-29 12:06:01	ga_s2am_ard_3-2-1_50JLM_2021-04-29_final
2021-05-02 12:14:57	ga_s2am_ard_3-2-1_49JFM_2021-05-02_final
2021-05-09 12:03:43	ga_s2am_ard_3-2-1_50KKB_2021-05-09_final
2021-05-23 11:46:26	ga_s2am_ard_3-2-1_50JML_2021-05-23_final
2021-06-28 12:04:00	ga_s2am_ard_3-2-1_50KKA_2021-06-28_final
2021-07-19 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2021-07-19_final
2021-08-07 12:05:03	ga_s2am_ard_3-2-1_49JGM_2021-08-07_final
2021-08-12 11:16:43	ga_s2am_ard_3-2-1_51HXD_2021-08-12_final
2021-09-07 11:37:11	ga_s2am_ard_3-2-1_50HQG_2021-09-07_final.stac-item
2021-09-20 11:43:03	ga_s2am_ard_3-2-1_51KUU_2021-09-20_final
2021-09-30 11:43:04	ga_s2am_ard_3-2-1_51KUU_2021-09-30_final
2021-10-26 12:03:49	ga_s2am_ard_3-2-1_50KKB_2021-10-26_final
2021-11-26 11:34:17	ga_s2am_ard_3-2-1_51KUP_2021-11-26_final
2022-01-19 11:14:23	ga_s2am_ard_3-2-1_51JZN_2022-01-19_final
2022-02-24 11:37:00	ga_s2am_ard_3-2-1_51HUC_2022-02-24_final
2022-03-19 11:43:04	ga_s2am_ard_3-2-1_51KUU_2022-03-19_final
2022-04-02 11:25:59	ga_s2am_ard_3-2-1_51JWG_2022-04-02_final
2022-05-05 11:37:02	ga_s2am_ard_3-2-1_51HUC_2022-05-05_final
2022-05-07 12:13:44	ga_s2am_ard_3-2-1_49KHS_2022-05-07_final.stac-item
2022-05-27 12:15:03	ga_s2am_ard_3-2-1_49JGM_2022-05-27_final
2022-06-13 12:04:09	ga_s2am_ard_3-2-1_50KKA_2022-06-13_final
2022-08-02 12:04:09	ga_s2am_ard_3-2-1_50KKA_2022-08-02_final
2022-09-15 11:46:25	ga_s2am_ard_3-2-1_50JQL_2022-09-15_final.stac-item
2022-09-28 11:57:27	ga_s2am_ard_3-2-1_50HMG_2022-09-28_final.stac-item
2022-10-15 11:43:04	ga_s2am_ard_3-2-1_51KUU_2022-10-15_final.stac-item
2023-02-02 11:43:13	ga_s2am_ard_3-2-1_51KUT_2023-02-02_final.stac-item
2023-03-24 11:43:28	ga_s2am_ard_3-2-1_51KUS_2023-03-24_final.stac-item
2023-06-25 11:56:07	ga_s2am_ard_3-2-1_50JNM_2023-06-25_final.stac-item
2023-06-29 11:36:24	ga_s2am_ard_3-2-1_50JQL_2023-06-29_final.stac-item
2023-07-12 11:43:23	ga_s2am_ard_3-2-1_51KTT_2023-07-12_final.stac-item
2023-08-04 11:53:16	ga_s2am_ard_3-2-1_50KRC_2023-08-04_final.stac-item
2023-08-11 11:47:07	ga_s2am_ard_3-2-1_50HPH_2023-08-11_final.stac-item
2023-10-10 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2023-10-10_final.stac-item
2023-10-19 12:14:56	ga_s2am_ard_3-2-1_49JGM_2023-10-19_final.stac-item
2023-11-29 11:46:44	ga_s2am_ard_3-2-1_50HNJ_2023-11-29_final.stac-item
2024-01-21 11:57:12	ga_s2am_ard_3-2-1_50HMG_2024-01-21_final.stac-item
2024-03-08 11:44:06	ga_s2am_ard_3-2-1_50KQV_2024-03-08_final.stac-item
2024-03-11 11:53:11	ga_s2am_ard_3-2-1_50KRC_2024-03-11_final.stac-item
2024-03-11 11:53:21	ga_s2am_ard_3-2-1_50KPC_2024-03-11_final.stac-item
2024-03-28 11:43:00	ga_s2am_ard_3-2-1_51KUU_2024-03-28_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