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
2016-05-05 12:03:52	ga_s2am_ard_3-2-1_50KMV_2016-05-05_final.stac-item
2016-07-07 12:14:44	ga_s2am_ard_3-2-1_49JFM_2016-07-07_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_51KZP_2016-07-09_final.stac-item
2016-09-17 11:12:10	ga_s2am_ard_3-2-1_52KBU_2016-09-17_final.stac-item
2016-10-19 11:56:02	ga_s2am_ard_3-2-1_50JNL_2016-10-19_final.stac-item
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49JGL_2016-12-14_final.stac-item
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50HQH_2017-03-25_final.stac-item
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50HNK_2017-05-04_final.stac-item
2017-07-10 11:28:37	ga_s2am_ard_3-2-1_51KVU_2017-07-10_final.stac-item
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49JGM_2017-07-12_final.stac-item
2017-08-26 11:21:56	ga_s2am_ard_3-2-1_51KWP_2017-08-26_final.stac-item
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_51LUE_2017-10-11_final.stac-item
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_50HPK_2017-11-07_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_51JTH_2017-12-30_final.stac-item
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51KYV_2018-01-13_final.stac-item
2018-04-16 11:27:23	ga_s2am_ard_3-2-1_51LYC_2018-04-16_final.stac-item
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_51HTC_2018-04-16_final.stac-item
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_51KXT_2018-04-26_final.stac-item
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49KGQ_2018-04-28_final.stac-item
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KWQ_2018-05-23_final.stac-item
2018-06-03 10:47:26	ga_s2am_ard_3-2-1_52JGM_2018-06-03_final.stac-item
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JTG_2018-06-05_final.stac-item
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HNJ_2018-06-18_final.stac-item
2018-08-02 10:47:25	ga_s2am_ard_3-2-1_52JFQ_2018-08-02_final.stac-item
2018-08-02 10:47:25	ga_s2am_ard_3-2-1_52JFR_2018-08-02_final.stac-item
2018-08-07 11:40:42	ga_s2am_ard_3-2-1_51KVA_2018-08-07_final.stac-item
2018-08-17 11:40:30	ga_s2am_ard_3-2-1_51KVT_2018-08-17_final.stac-item
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_50JKT_2018-10-12_final.stac-item
2018-12-25 11:41:25	ga_s2am_ard_3-2-1_51LUE_2018-12-25_final.stac-item
2018-12-31 12:04:33	ga_s2am_ard_3-2-1_50JLT_2018-12-31_final.stac-item
2019-01-14 11:43:20	ga_s2am_ard_3-2-1_51KVS_2019-01-14_final.stac-item
2019-01-25 11:13:51	ga_s2am_ard_3-2-1_51KZQ_2019-01-25_final.stac-item
2019-02-26 11:56:09	ga_s2am_ard_3-2-1_50JKM_2019-02-26_final.stac-item
2019-03-08 11:56:31	ga_s2am_ard_3-2-1_50HMK_2019-03-08_final.stac-item
2019-03-25 11:44:00	ga_s2am_ard_3-2-1_51KTQ_2019-03-25_final.stac-item
2019-07-20 11:36:39	ga_s2am_ard_3-2-1_50HQK_2019-07-20_final.stac-item
2019-07-29 12:03:28	ga_s2am_ard_3-2-1_50KMC_2019-07-29_final.stac-item
2019-09-18 11:36:37	ga_s2am_ard_3-2-1_50HPK_2019-09-18_final.stac-item
2019-10-05 11:23:27	ga_s2am_ard_3-2-1_51KYS_2019-10-05_final.stac-item
2019-10-08 11:33:11	ga_s2am_ard_3-2-1_51KXT_2019-10-08_final.stac-item
2019-12-16 12:04:55	ga_s2am_ard_3-2-1_49JGM_2019-12-16_final.stac-item
2020-01-23 11:25:03	ga_s2am_ard_3-2-1_51JXK_2020-01-23_final.stac-item
2020-03-03 11:21:50	ga_s2am_ard_3-2-1_51LZC_2020-03-03_final.stac-item
2020-04-05 11:33:35	ga_s2am_ard_3-2-1_51KXR_2020-04-05_final.stac-item
2020-04-15 11:32:14	ga_s2am_ard_3-2-1_51KWB_2020-04-15_final.stac-item
2020-04-17 12:14:27	ga_s2am_ard_3-2-1_49KGP_2020-04-17_final.stac-item
2020-04-21 11:56:15	ga_s2am_ard_3-2-1_50JKM_2020-04-21_final.stac-item
2020-05-22 11:25:22	ga_s2am_ard_3-2-1_51JVK_2020-05-22_final.stac-item
2020-08-23 11:33:28	ga_s2am_ard_3-2-1_51KUT_2020-08-23_final.stac-item
2020-09-22 11:34:20	ga_s2am_ard_3-2-1_51JXN_2020-09-22_final.stac-item
2020-10-04 12:14:24	ga_s2am_ard_3-2-1_49KGQ_2020-10-04_final.stac-item
2020-11-19 10:55:48	ga_s2am_ard_3-2-1_52JFM_2020-11-19_final.stac-item
2020-11-24 11:43:16	ga_s2am_ard_3-2-1_51KUT_2020-11-24_final.stac-item
2021-01-07 11:22:56	ga_s2am_ard_3-2-1_51KZU_2021-01-07_final.stac-item
2021-03-03 12:13:54	ga_s2am_ard_3-2-1_50KKA_2021-03-03_final.stac-item
2021-03-05 11:14:09	ga_s2am_ard_3-2-1_51KZP_2021-03-05_final.stac-item
2021-03-22 11:04:35	ga_s2am_ard_3-2-1_52JDS_2021-03-22_final.stac-item
2021-05-13 11:43:24	ga_s2am_ard_3-2-1_51KVS_2021-05-13_final.stac-item
2021-06-05 11:53:22	ga_s2am_ard_3-2-1_50KPC_2021-06-05_final.stac-item
2021-06-29 11:34:07	ga_s2am_ard_3-2-1_51KXP_2021-06-29_final.stac-item
2021-07-09 11:33:48	ga_s2am_ard_3-2-1_51KVR_2021-07-09_final.stac-item
2021-08-27 12:05:31	ga_s2am_ard_3-2-1_49JGK_2021-08-27_final.stac-item
2021-10-23 11:53:26	ga_s2am_ard_3-2-1_50KPC_2021-10-23_final.stac-item
2021-11-06 11:33:31	ga_s2am_ard_3-2-1_51KWS_2021-11-06_final.stac-item
2021-11-06 11:36:41	ga_s2am_ard_3-2-1_50HPK_2021-11-06_final.stac-item
2021-12-23 11:22:09	ga_s2am_ard_3-2-1_52KBG_2021-12-23_final.stac-item
2021-12-29 11:43:22	ga_s2am_ard_3-2-1_51KUT_2021-12-29_final.stac-item
2022-01-01 11:53:23	ga_s2am_ard_3-2-1_50KPC_2022-01-01_final.stac-item
2022-02-18 11:13:40	ga_s2am_ard_3-2-1_52KBA_2022-02-18_final.stac-item
2022-04-02 11:23:37	ga_s2am_ard_3-2-1_51KZR_2022-04-02_final.stac-item
2022-05-27 12:15:03	ga_s2am_ard_3-2-1_49JGM_2022-05-27_final.stac-item
2022-05-28 11:43:04	ga_s2am_ard_3-2-1_51KVU_2022-05-28_final.stac-item
2022-06-21 11:23:25	ga_s2am_ard_3-2-1_51KXT_2022-06-21_final.stac-item
2022-07-03 12:04:41	ga_s2am_ard_3-2-1_50KKU_2022-07-03_final.stac-item
2022-08-16 11:42:54	ga_s2am_ard_3-2-1_51KVV_2022-08-16_final.stac-item
2022-11-04 11:42:50	ga_s2am_ard_3-2-1_51KUV_2022-11-04_final.stac-item
2022-11-27 11:53:10	ga_s2am_ard_3-2-1_50KRC_2022-11-27_final.stac-item
2022-11-29 10:55:46	ga_s2am_ard_3-2-1_52JFM_2022-11-29_final.stac-item
2022-12-03 12:13:54	ga_s2am_ard_3-2-1_50KKA_2022-12-03_final.stac-item
2022-12-07 11:53:18	ga_s2am_ard_3-2-1_50KQC_2022-12-07_final.stac-item
2023-02-22 11:43:30	ga_s2am_ard_3-2-1_50KRB_2023-02-22_nrt.stac-item
2023-02-22 11:43:30	ga_s2am_ard_3-2-1_50KRB_2023-02-22_final
2023-02-23 11:13:38	ga_s2am_ard_3-2-1_51KZR_2023-02-23_final
2023-02-28 12:03:56	ga_s2am_ard_3-2-1_50KKA_2023-02-28_final
2023-04-09 12:04:14	ga_s2am_ard_3-2-1_49KHQ_2023-04-09_final
2023-04-27 11:23:28	ga_s2am_ard_3-2-1_51KXS_2023-04-27_final
2023-05-09 12:06:04	ga_s2am_ard_3-2-1_50JLM_2023-05-09_final
2023-05-17 11:23:11	ga_s2am_ard_3-2-1_51KYT_2023-05-17_final
2023-05-29 12:04:31	ga_s2am_ard_3-2-1_49KHP_2023-05-29_final
2023-07-11 12:13:59	ga_s2am_ard_3-2-1_50KKA_2023-07-11_final
2023-10-15 10:55:15	ga_s2am_ard_3-2-1_52JFP_2023-10-15_final
2023-10-30 11:42:45	ga_s2am_ard_3-2-1_51KUV_2023-10-30_final
2023-10-30 11:43:14	ga_s2am_ard_3-2-1_51KUT_2023-10-30_final
2023-11-25 12:03:39	ga_s2am_ard_3-2-1_50KKB_2023-11-25_final
2024-01-18 11:41:50	ga_s2am_ard_3-2-1_51LVC_2024-01-18_final
2024-01-25 11:33:17	ga_s2am_ard_3-2-1_51KXS_2024-01-25_final
2024-01-29 11:16:15	ga_s2am_ard_3-2-1_52HBK_2024-01-29_final
2024-02-11 11:23:18	ga_s2am_ard_3-2-1_51KZS_2024-02-11_final
2024-04-01 11:26:46	ga_s2am_ard_3-2-1_51HUD_2024-04-01_final
2024-05-13 12:04:45	ga_s2am_ard_3-2-1_49JHN_2024-05-13_nrt

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

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