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
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51KVT_2016-05-09_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50JPL_2016-07-28_final.stac-item
2017-01-31 11:26:14	ga_s2am_ard_3-2-1_51JXN_2017-01-31_final
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_51KWQ_2017-05-31_final
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51JUF_2017-06-27_final
2017-09-15 11:22:06	ga_s2am_ard_3-2-1_51JVH_2017-09-15_final
2017-10-25 11:21:08	ga_s2am_ard_3-2-1_51KXT_2017-10-25_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_51KVT_2018-03-10_final
2018-03-30 11:39:33	ga_s2am_ard_3-2-1_51LUE_2018-03-30_final
2018-07-18 11:34:46	ga_s2am_ard_3-2-1_51KVV_2018-07-18_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50KMC_2018-08-23_final
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_50JPL_2018-08-24_final
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_51KXU_2018-10-03_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_51KVT_2018-10-13_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_51KWU_2018-11-02_final
2018-11-22 11:33:17	ga_s2am_ard_3-2-1_51KVT_2018-11-22_final
2018-11-25 11:43:07	ga_s2am_ard_3-2-1_51KUT_2018-11-25_final
2018-12-15 11:42:33	ga_s2am_ard_3-2-1_51KVV_2018-12-15_final
2018-12-25 11:42:51	ga_s2am_ard_3-2-1_51KVU_2018-12-25_final
2019-02-17 11:23:35	ga_s2am_ard_3-2-1_51KYR_2019-02-17_final
2019-02-23 11:42:56	ga_s2am_ard_3-2-1_51KUU_2019-02-23_final
2019-02-27 11:23:05	ga_s2am_ard_3-2-1_51KYT_2019-02-27_final
2019-03-05 11:43:24	ga_s2am_ard_3-2-1_51KUS_2019-03-05_final
2019-07-14 11:13:59	ga_s2am_ard_3-2-1_51KZQ_2019-07-14_final
2019-08-02 11:42:26	ga_s2am_ard_3-2-1_51KWA_2019-08-02_final
2019-09-14 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2019-09-14_final
2019-10-11 11:42:57	ga_s2am_ard_3-2-1_51KVU_2019-10-11_final
2019-10-18 11:33:05	ga_s2am_ard_3-2-1_51KVU_2019-10-18_final
2019-12-27 11:33:03	ga_s2am_ard_3-2-1_51KXT_2019-12-27_final
2020-01-02 11:53:19	ga_s2am_ard_3-2-1_50KNC_2020-01-02_final
2020-01-10 11:14:03	ga_s2am_ard_3-2-1_51KZP_2020-01-10_final
2020-03-06 11:32:59	ga_s2am_ard_3-2-1_51KYT_2020-03-06_final
2020-03-26 11:32:40	ga_s2am_ard_3-2-1_51KWV_2020-03-26_final
2020-04-05 11:33:35	ga_s2am_ard_3-2-1_51KXR_2020-04-05_final
2020-04-15 11:32:58	ga_s2am_ard_3-2-1_51KWU_2020-04-15_final
2020-05-18 11:43:02	ga_s2am_ard_3-2-1_51KVU_2020-05-18_final
2020-05-25 11:37:09	ga_s2am_ard_3-2-1_50HQH_2020-05-25_final
2020-05-28 11:46:43	ga_s2am_ard_3-2-1_50HNK_2020-05-28_final
2020-05-28 11:47:08	ga_s2am_ard_3-2-1_50HPH_2020-05-28_final
2020-06-04 11:32:28	ga_s2am_ard_3-2-1_51KYA_2020-06-04_final
2020-07-07 11:42:32	ga_s2am_ard_3-2-1_51KVA_2020-07-07_final
2020-08-03 11:33:00	ga_s2am_ard_3-2-1_51KXU_2020-08-03_final
2020-08-29 11:55:51	ga_s2am_ard_3-2-1_50JKP_2020-08-29_final
2020-10-15 11:43:20	ga_s2am_ard_3-2-1_51KUT_2020-10-15_final
2020-10-22 11:34:02	ga_s2am_ard_3-2-1_51KWQ_2020-10-22_final
2021-01-14 11:13:55	ga_s2am_ard_3-2-1_51KZQ_2021-01-14_final
2021-01-20 11:33:02	ga_s2am_ard_3-2-1_51KVU_2021-01-20_final
2021-02-08 12:04:42	ga_s2am_ard_3-2-1_50JKT_2021-02-08_final
2021-03-01 11:35:04	ga_s2am_ard_3-2-1_51JTL_2021-03-01_final
2021-03-11 11:37:17	ga_s2am_ard_3-2-1_50HQG_2021-03-11_final.stac-item
2021-04-17 11:26:01	ga_s2am_ard_3-2-1_51JXF_2021-04-17_final
2021-04-27 11:23:54	ga_s2am_ard_3-2-1_51KXQ_2021-04-27_final
2021-04-27 11:26:02	ga_s2am_ard_3-2-1_51JUG_2021-04-27_final
2021-05-27 11:23:36	ga_s2am_ard_3-2-1_51KZR_2021-05-27_final
2021-06-02 11:42:43	ga_s2am_ard_3-2-1_51KVV_2021-06-02_final
2021-06-22 11:43:59	ga_s2am_ard_3-2-1_51KUQ_2021-06-22_final
2021-07-18 12:05:18	ga_s2am_ard_3-2-1_49JGL_2021-07-18_final
2021-07-29 11:35:54	ga_s2am_ard_3-2-1_50JQN_2021-07-29_final
2021-07-29 11:37:14	ga_s2am_ard_3-2-1_50HQH_2021-07-29_final
2021-09-24 11:23:10	ga_s2am_ard_3-2-1_51KZT_2021-09-24_final
2021-11-29 11:42:57	ga_s2am_ard_3-2-1_51KVU_2021-11-29_final
2021-12-19 11:43:01	ga_s2am_ard_3-2-1_51KUU_2021-12-19_final
2021-12-23 11:23:06	ga_s2am_ard_3-2-1_51KYT_2021-12-23_final
2021-12-29 11:43:21	ga_s2am_ard_3-2-1_51KVS_2021-12-29_final
2022-01-11 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2022-01-11_final
2022-01-15 11:33:53	ga_s2am_ard_3-2-1_51KXQ_2022-01-15_final
2022-01-18 11:42:28	ga_s2am_ard_3-2-1_51KVA_2022-01-18_final
2022-02-11 11:23:20	ga_s2am_ard_3-2-1_51KZS_2022-02-11_final
2022-02-14 11:36:57	ga_s2am_ard_3-2-1_51HUC_2022-02-14_final
2022-03-16 11:33:07	ga_s2am_ard_3-2-1_51KYT_2022-03-16_final
2022-03-26 11:33:23	ga_s2am_ard_3-2-1_51KWS_2022-03-26_final
2022-04-15 11:33:05	ga_s2am_ard_3-2-1_51KVU_2022-04-15_final
2022-04-19 11:13:33	ga_s2am_ard_3-2-1_51KZS_2022-04-19_final
2022-04-22 11:26:52	ga_s2am_ard_3-2-1_51HUD_2022-04-22_final
2022-05-28 11:44:09	ga_s2am_ard_3-2-1_50KRV_2022-05-28_final
2022-06-11 11:26:35	ga_s2am_ard_3-2-1_51HWE_2022-06-11_final
2022-06-24 11:36:41	ga_s2am_ard_3-2-1_51HUE_2022-06-24_final
2022-09-16 11:14:03	ga_s2am_ard_3-2-1_51KZQ_2022-09-16_final.stac-item
2022-09-19 11:23:15	ga_s2am_ard_3-2-1_51KZT_2022-09-19_final.stac-item
2022-10-02 11:33:09	ga_s2am_ard_3-2-1_51KVU_2022-10-02_final.stac-item
2022-10-18 11:53:14	ga_s2am_ard_3-2-1_50KRC_2022-10-18_final.stac-item
2022-10-25 11:43:17	ga_s2am_ard_3-2-1_51KUT_2022-10-25_final.stac-item
2022-11-18 11:23:23	ga_s2am_ard_3-2-1_51KZS_2022-11-18_final.stac-item
2023-01-10 11:32:56	ga_s2am_ard_3-2-1_51KWU_2023-01-10_final.stac-item
2023-01-17 11:23:17	ga_s2am_ard_3-2-1_51KZS_2023-01-17_final.stac-item
2023-03-08 11:23:24	ga_s2am_ard_3-2-1_51KXS_2023-03-08_final.stac-item
2023-04-10 11:33:09	ga_s2am_ard_3-2-1_51KXT_2023-04-10_final.stac-item
2023-05-27 11:24:01	ga_s2am_ard_3-2-1_51KXQ_2023-05-27_final.stac-item
2023-09-11 11:13:59	ga_s2am_ard_3-2-1_51KZQ_2023-09-11_final.stac-item
2023-10-10 11:42:45	ga_s2am_ard_3-2-1_51KUV_2023-10-10_final.stac-item
2023-10-14 11:22:54	ga_s2am_ard_3-2-1_51KYU_2023-10-14_final.stac-item
2023-10-27 11:33:27	ga_s2am_ard_3-2-1_51KWS_2023-10-27_final.stac-item
2023-11-06 11:32:46	ga_s2am_ard_3-2-1_51KVV_2023-11-06_final.stac-item
2023-11-19 11:43:09	ga_s2am_ard_3-2-1_51KVT_2023-11-19_final.stac-item
2024-01-05 11:33:53	ga_s2am_ard_3-2-1_51KWQ_2024-01-05_final.stac-item
2024-01-29 11:14:51	ga_s2am_ard_3-2-1_51JYL_2024-01-29_final.stac-item
2024-04-28 11:13:43	ga_s2am_ard_3-2-1_51KZR_2024-04-28_final.stac-item
2024-05-04 11:34:13	ga_s2am_ard_3-2-1_51KWP_2024-05-04_final.stac-item
2024-05-24 11:33:00	ga_s2am_ard_3-2-1_51KVU_2024-05-24_nrt.stac-item
2024-05-28 11:14:10	ga_s2am_ard_3-2-1_51KZP_2024-05-28_nrt.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