Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

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

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

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

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

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

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

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

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

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

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51JUM_2016-04-06_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51KXR_2016-04-23_final.stac-item
2016-04-26 11:36:07	ga_s2am_ard_3-2-1_51JUF_2016-04-26_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51JTH_2016-06-05_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HPG_2016-06-18_final
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50KKA_2016-06-24_final.stac-item
2016-09-20 11:22:33	ga_s2am_ard_3-2-1_51HUE_2016-09-20_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50JMM_2016-10-09_final.stac-item
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51JVG_2017-01-18_final.stac-item
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50JLP_2017-02-09_final.stac-item
2017-03-18 11:51:11	ga_s2am_ard_3-2-1_50HLH_2017-03-18_final.stac-item
2017-03-26 11:11:44	ga_s2am_ard_3-2-1_51HWE_2017-03-26_final.stac-item
2017-12-30 11:37:45	ga_s2am_ard_3-2-1_51LVC_2017-12-30_final.stac-item
2018-01-15 12:04:34	ga_s2am_ard_3-2-1_50JLQ_2018-01-15_final.stac-item
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_51KXS_2018-02-02_final.stac-item
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KXB_2018-02-15_final.stac-item
2018-03-14 11:26:47	ga_s2am_ard_3-2-1_51HVC_2018-03-14_final.stac-item
2018-04-10 11:09:59	ga_s2am_ard_3-2-1_51JYG_2018-04-10_final.stac-item
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JML_2018-04-22_final.stac-item
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JNM_2018-04-22_final.stac-item
2018-04-29 11:40:08	ga_s2am_ard_3-2-1_51KVA_2018-04-29_final.stac-item
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_51KVS_2018-07-15_final.stac-item
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_50KKB_2018-09-12_final.stac-item
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50JNL_2018-09-29_final.stac-item
2018-11-04 12:13:17	ga_s2am_ard_3-2-1_49JGL_2018-11-04_final.stac-item
2018-11-06 11:15:20	ga_s2am_ard_3-2-1_51JYJ_2018-11-06_final.stac-item
2019-01-07 11:56:09	ga_s2am_ard_3-2-1_50JKM_2019-01-07_final.stac-item
2019-01-14 11:41:51	ga_s2am_ard_3-2-1_51LWC_2019-01-14_final.stac-item
2019-06-09 12:04:30	ga_s2am_ard_3-2-1_50KKU_2019-06-09_final.stac-item
2019-06-17 11:26:21	ga_s2am_ard_3-2-1_51JUF_2019-06-17_final.stac-item
2019-08-08 12:06:14	ga_s2am_ard_3-2-1_50JKM_2019-08-08_final.stac-item
2019-10-05 11:27:00	ga_s2am_ard_3-2-1_51HVC_2019-10-05_final.stac-item
2019-10-12 11:15:42	ga_s2am_ard_3-2-1_51JYH_2019-10-12_final.stac-item
2019-12-20 11:43:56	ga_s2am_ard_3-2-1_51KTQ_2019-12-20_final.stac-item
2020-01-16 11:36:37	ga_s2am_ard_3-2-1_51HUD_2020-01-16_final.stac-item
2020-02-28 11:46:43	ga_s2am_ard_3-2-1_50HPJ_2020-02-28_final.stac-item
2020-04-02 11:26:25	ga_s2am_ard_3-2-1_51HVE_2020-04-02_final.stac-item
2020-04-21 11:55:03	ga_s2am_ard_3-2-1_50JPR_2020-04-21_final.stac-item
2020-05-25 11:34:52	ga_s2am_ard_3-2-1_51JUM_2020-05-25_final.stac-item
2020-07-04 11:31:58	ga_s2am_ard_3-2-1_51LYC_2020-07-04_final.stac-item
2020-07-17 11:45:59	ga_s2am_ard_3-2-1_50JNN_2020-07-17_final.stac-item
2020-08-03 11:33:06	ga_s2am_ard_3-2-1_51KYT_2020-08-03_final.stac-item
2020-08-09 11:53:23	ga_s2am_ard_3-2-1_50KQC_2020-08-09_final.stac-item
2020-09-19 11:23:18	ga_s2am_ard_3-2-1_51KXT_2020-09-19_final.stac-item
2020-11-18 11:24:18	ga_s2am_ard_3-2-1_51KWP_2020-11-18_final.stac-item
2020-11-18 11:25:12	ga_s2am_ard_3-2-1_51JXK_2020-11-18_final.stac-item
2021-01-14 11:15:11	ga_s2am_ard_3-2-1_51JYK_2021-01-14_final.stac-item
2021-02-02 11:41:59	ga_s2am_ard_3-2-1_51LVC_2021-02-02_final.stac-item
2021-02-02 11:46:26	ga_s2am_ard_3-2-1_50JML_2021-02-02_final.stac-item
2021-02-06 11:26:43	ga_s2am_ard_3-2-1_51HVD_2021-02-06_final.stac-item
2021-02-12 11:42:59	ga_s2am_ard_3-2-1_51KUU_2021-02-12_final.stac-item
2021-02-12 11:43:20	ga_s2am_ard_3-2-1_50KQC_2021-02-12_final.stac-item
2021-03-11 11:37:00	ga_s2am_ard_3-2-1_51HTC_2021-03-11_final.stac-item
2021-04-13 11:44:40	ga_s2am_ard_3-2-1_51JTM_2021-04-13_final.stac-item
2021-05-03 11:44:32	ga_s2am_ard_3-2-1_50JQT_2021-05-03_final.stac-item
2021-06-02 11:46:20	ga_s2am_ard_3-2-1_50JPL_2021-06-02_final.stac-item
2021-07-02 11:47:04	ga_s2am_ard_3-2-1_50HPH_2021-07-02_final.stac-item
2021-08-08 11:35:47	ga_s2am_ard_3-2-1_51JUH_2021-08-08_final.stac-item
2021-08-08 11:36:37	ga_s2am_ard_3-2-1_50HQK_2021-08-08_final.stac-item
2021-08-14 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2021-08-14_final.stac-item
2021-10-20 11:46:53	ga_s2am_ard_3-2-1_50HPJ_2021-10-20_final.stac-item
2021-10-27 11:36:37	ga_s2am_ard_3-2-1_51HTE_2021-10-27_final.stac-item
2021-11-19 11:46:19	ga_s2am_ard_3-2-1_50JPL_2021-11-19_final.stac-item
2021-11-20 11:15:10	ga_s2am_ard_3-2-1_51JYK_2021-11-20_final.stac-item
2021-11-23 11:24:19	ga_s2am_ard_3-2-1_51JZN_2021-11-23_final.stac-item
2021-11-26 11:33:16	ga_s2am_ard_3-2-1_51KVT_2021-11-26_final.stac-item
2022-01-05 11:34:12	ga_s2am_ard_3-2-1_51KWP_2022-01-05_final.stac-item
2022-01-15 11:34:30	ga_s2am_ard_3-2-1_51JVN_2022-01-15_final.stac-item
2022-02-01 11:22:12	ga_s2am_ard_3-2-1_51KYB_2022-02-01_final.stac-item
2022-02-01 11:26:44	ga_s2am_ard_3-2-1_51HVD_2022-02-01_final.stac-item
2022-02-11 11:23:27	ga_s2am_ard_3-2-1_51KXS_2022-02-11_final.stac-item
2022-03-26 11:34:57	ga_s2am_ard_3-2-1_51JWL_2022-03-26_final.stac-item
2022-03-29 11:43:27	ga_s2am_ard_3-2-1_51KVS_2022-03-29_final.stac-item
2022-05-31 11:54:16	ga_s2am_ard_3-2-1_50KNV_2022-05-31_final.stac-item
2022-06-04 11:34:23	ga_s2am_ard_3-2-1_51JXN_2022-06-04_final.stac-item
2022-06-10 11:56:17	ga_s2am_ard_3-2-1_50JMM_2022-06-10_final.stac-item
2022-06-11 11:22:51	ga_s2am_ard_3-2-1_51KYV_2022-06-11_final.stac-item
2022-06-11 11:24:21	ga_s2am_ard_3-2-1_51KXP_2022-06-11_final.stac-item
2022-07-11 11:23:13	ga_s2am_ard_3-2-1_51KXU_2022-07-11_final.stac-item
2022-07-13 12:06:22	ga_s2am_ard_3-2-1_50JKM_2022-07-13_final.stac-item
2022-07-14 11:36:32	ga_s2am_ard_3-2-1_50JQL_2022-07-14_final.stac-item
2022-07-21 11:27:19	ga_s2am_ard_3-2-1_51HTC_2022-07-21_final.stac-item
2022-08-26 11:43:31	ga_s2am_ard_3-2-1_50KRC_2022-08-26_final.stac-item
2022-09-08 11:56:37	ga_s2am_ard_3-2-1_50JLL_2022-09-08_final.stac-item
2022-09-12 11:33:34	ga_s2am_ard_3-2-1_51KXS_2022-09-12_final.stac-item
2022-09-19 11:25:21	ga_s2am_ard_3-2-1_51JWK_2022-09-19_final.stac-item
2022-10-12 11:34:30	ga_s2am_ard_3-2-1_51JWN_2022-10-12_final.stac-item
2022-10-22 11:37:05	ga_s2am_ard_3-2-1_50HQH_2022-10-22_final.stac-item
2022-10-28 13:31:42	ga_s2am_ard_3-2-1_47LKG_2022-10-28_interim
2023-01-02 12:14:30	ga_s2am_ard_3-2-1_49KFP_2023-01-02_nrt.stac-item
2023-01-03 11:43:35	ga_s2am_ard_3-2-1_50KQB_2023-01-03_final.stac-item
2023-03-30 12:04:55	ga_s2am_ard_3-2-1_50JKS_2023-03-30_final
2023-03-30 12:05:21	ga_s2am_ard_3-2-1_50JLQ_2023-03-30_final
2023-04-16 11:56:22	ga_s2am_ard_3-2-1_50JML_2023-04-16_final
2023-06-03 12:51:03	ga_s2am_ard_3-2-1_48LWP_2023-06-03_final
2023-06-06 11:22:45	ga_s2am_ard_3-2-1_51KYV_2023-06-06_final
2023-07-29 11:33:03	ga_s2am_ard_3-2-1_51KWU_2023-07-29_final
2023-12-10 11:15:19	ga_s2am_ard_3-2-1_51JYJ_2023-12-10_final
2024-01-18 11:43:02	ga_s2am_ard_3-2-1_51KVT_2024-01-18_final
2024-02-23 12:03:21	ga_s2am_ard_3-2-1_50KMC_2024-02-23_final

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years