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
2015-10-23 11:14:04	ga_s2am_ard_3-2-1_51HYD_2015-10-23_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JKM_2015-12-04_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51KXQ_2016-01-24_final.stac-item
2016-02-18 12:13:39	ga_s2am_ard_3-2-1_50KKA_2016-02-18_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HNH_2016-07-28_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50HNH_2016-09-06_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50KQC_2016-09-26_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51LVC_2016-12-05_final.stac-item
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50JKN_2017-02-09_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50JPN_2017-03-25_final
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_49JGN_2017-04-30_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51JVK_2017-12-04_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_51JZM_2017-12-11_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51KZT_2018-01-13_final
2018-04-06 11:31:45	ga_s2am_ard_3-2-1_51KYU_2018-04-06_final
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JPR_2018-04-22_final
2018-04-23 11:17:01	ga_s2am_ard_3-2-1_51JXM_2018-04-23_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_51JTM_2018-06-18_final
2018-07-02 11:23:55	ga_s2am_ard_3-2-1_51HUE_2018-07-02_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51KVR_2018-08-04_final
2018-10-25 12:14:37	ga_s2am_ard_3-2-1_49JGL_2018-10-25_final
2019-04-13 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2019-04-13_final
2019-05-14 11:43:15	ga_s2am_ard_3-2-1_51KVT_2019-05-14_final
2019-06-10 11:36:45	ga_s2am_ard_3-2-1_51HUD_2019-06-10_final
2019-06-23 11:45:22	ga_s2am_ard_3-2-1_50JQQ_2019-06-23_final
2019-06-27 11:25:47	ga_s2am_ard_3-2-1_51JWH_2019-06-27_final
2019-07-10 11:36:43	ga_s2am_ard_3-2-1_50HPK_2019-07-10_final
2019-08-01 12:14:23	ga_s2am_ard_3-2-1_49KGQ_2019-08-01_final
2019-08-06 11:26:26	ga_s2am_ard_3-2-1_51HXE_2019-08-06_final
2019-08-06 11:26:44	ga_s2am_ard_3-2-1_51HWD_2019-08-06_final
2019-09-18 11:36:46	ga_s2am_ard_3-2-1_51HTD_2019-09-18_final
2019-10-12 11:15:32	ga_s2am_ard_3-2-1_51JXJ_2019-10-12_final
2019-10-31 11:46:08	ga_s2am_ard_3-2-1_50JPM_2019-10-31_final
2020-01-06 11:35:36	ga_s2am_ard_3-2-1_51JVH_2020-01-06_final
2020-02-09 11:15:31	ga_s2am_ard_3-2-1_51JYH_2020-02-09_final
2020-02-11 11:55:14	ga_s2am_ard_3-2-1_50JNQ_2020-02-11_final
2020-02-25 11:34:00	ga_s2am_ard_3-2-1_51KXP_2020-02-25_final
2020-02-28 11:46:47	ga_s2am_ard_3-2-1_50HNJ_2020-02-28_final
2020-04-02 11:26:43	ga_s2am_ard_3-2-1_51HUD_2020-04-02_final
2020-04-18 11:45:47	ga_s2am_ard_3-2-1_50JQN_2020-04-18_final
2020-04-18 11:46:26	ga_s2am_ard_3-2-1_50JML_2020-04-18_final
2020-04-19 11:16:08	ga_s2am_ard_3-2-1_51JYF_2020-04-19_final
2020-05-25 11:33:51	ga_s2am_ard_3-2-1_51KVR_2020-05-25_final
2020-06-11 11:26:46	ga_s2am_ard_3-2-1_51HWD_2020-06-11_final
2020-06-14 11:33:08	ga_s2am_ard_3-2-1_51KYT_2020-06-14_final
2020-12-11 11:32:37	ga_s2am_ard_3-2-1_51KXV_2020-12-11_final
2020-12-11 11:36:48	ga_s2am_ard_3-2-1_50HPJ_2020-12-11_final
2021-01-07 11:23:01	ga_s2am_ard_3-2-1_51KXU_2021-01-07_final
2021-01-20 11:33:03	ga_s2am_ard_3-2-1_51KYT_2021-01-20_final
2021-01-24 11:14:24	ga_s2am_ard_3-2-1_51JZN_2021-01-24_final
2021-02-02 11:46:34	ga_s2am_ard_3-2-1_50HPK_2021-02-02_final
2021-02-13 11:13:27	ga_s2am_ard_3-2-1_51KZS_2021-02-13_final
2021-02-16 11:24:14	ga_s2am_ard_3-2-1_51KWP_2021-02-16_final
2021-03-17 11:56:13	ga_s2am_ard_3-2-1_50JKM_2021-03-17_final
2021-04-23 11:40:53	ga_s2am_ard_3-2-1_51LWG_2021-04-23_final.stac-item
2021-06-08 12:04:57	ga_s2am_ard_3-2-1_49JHM_2021-06-08_final
2021-06-16 11:23:25	ga_s2am_ard_3-2-1_51KYS_2021-06-16_final
2021-06-16 11:23:28	ga_s2am_ard_3-2-1_51KXS_2021-06-16_final
2021-10-27 11:36:22	ga_s2am_ard_3-2-1_51JTF_2021-10-27_final
2021-10-27 11:36:48	ga_s2am_ard_3-2-1_51HUD_2021-10-27_final
2021-10-27 11:37:12	ga_s2am_ard_3-2-1_50HPH_2021-10-27_final
2021-11-10 11:16:29	ga_s2am_ard_3-2-1_51HXE_2021-11-10_final
2021-11-22 11:56:36	ga_s2am_ard_3-2-1_50HMK_2021-11-22_final
2022-01-25 11:36:34	ga_s2am_ard_3-2-1_50HQK_2022-01-25_final
2022-03-28 12:14:14	ga_s2am_ard_3-2-1_49KGQ_2022-03-28_final
2022-04-01 11:55:08	ga_s2am_ard_3-2-1_50JNR_2022-04-01_final
2022-04-05 11:35:57	ga_s2am_ard_3-2-1_51JVG_2022-04-05_final
2022-04-12 11:24:21	ga_s2am_ard_3-2-1_51JZN_2022-04-12_final
2022-05-01 11:53:26	ga_s2am_ard_3-2-1_50KPC_2022-05-01_final
2022-05-02 11:24:20	ga_s2am_ard_3-2-1_51KWP_2022-05-02_final
2022-05-04 12:06:09	ga_s2am_ard_3-2-1_50JLM_2022-05-04_final
2022-05-12 11:26:47	ga_s2am_ard_3-2-1_51HVD_2022-05-12_final
2022-05-27 12:14:16	ga_s2am_ard_3-2-1_49KHQ_2022-05-27_final
2022-06-17 11:46:24	ga_s2am_ard_3-2-1_50JMM_2022-06-17_final
2022-07-01 11:26:52	ga_s2am_ard_3-2-1_51HVD_2022-07-01_final
2022-07-14 11:36:18	ga_s2am_ard_3-2-1_50JQM_2022-07-14_final
2022-07-14 11:37:04	ga_s2am_ard_3-2-1_50HPJ_2022-07-14_final
2022-07-18 11:16:34	ga_s2am_ard_3-2-1_51HYE_2022-07-18_final
2022-08-03 11:33:27	ga_s2am_ard_3-2-1_51KVT_2022-08-03_final
2022-08-16 11:47:04	ga_s2am_ard_3-2-1_50HNJ_2022-08-16_final
2022-10-29 11:24:15	ga_s2am_ard_3-2-1_51KXP_2022-10-29_final.stac-item
2022-10-29 11:26:33	ga_s2am_ard_3-2-1_51HVE_2022-10-29_final.stac-item
2023-01-16 11:57:09	ga_s2am_ard_3-2-1_50HKH_2023-01-16_nrt.stac-item
2023-03-31 11:35:14	ga_s2am_ard_3-2-1_51JUK_2023-03-31_final.stac-item
2023-04-03 11:44:34	ga_s2am_ard_3-2-1_50JQT_2023-04-03_final.stac-item
2023-04-29 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2023-04-29_final.stac-item
2023-05-06 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2023-05-06_final.stac-item
2023-06-15 11:57:10	ga_s2am_ard_3-2-1_50HLH_2023-06-15_final.stac-item
2023-06-19 11:34:36	ga_s2am_ard_3-2-1_51JUN_2023-06-19_final.stac-item
2023-06-19 11:35:16	ga_s2am_ard_3-2-1_51JVK_2023-06-19_final.stac-item
2023-07-25 11:56:45	ga_s2am_ard_3-2-1_50HLK_2023-07-25_final.stac-item
2023-08-10 12:15:15	ga_s2am_ard_3-2-1_49JGL_2023-08-10_final.stac-item
2023-08-25 11:24:03	ga_s2am_ard_3-2-1_51KXQ_2023-08-25_final.stac-item
2023-09-03 11:56:19	ga_s2am_ard_3-2-1_50JKM_2023-09-03_final.stac-item
2023-09-13 11:56:15	ga_s2am_ard_3-2-1_50JLM_2023-09-13_final.stac-item
2023-11-16 11:36:12	ga_s2am_ard_3-2-1_51JUF_2023-11-16_final.stac-item
2024-01-05 11:36:43	ga_s2am_ard_3-2-1_51HTD_2024-01-05_final.stac-item
2024-03-15 11:32:11	ga_s2am_ard_3-2-1_51KXB_2024-03-15_final.stac-item
2024-03-15 11:32:14	ga_s2am_ard_3-2-1_51KWB_2024-03-15_final.stac-item
2024-03-25 11:32:45	ga_s2am_ard_3-2-1_51KWV_2024-03-25_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