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_50JRS_2016-04-06_final.stac-item
2016-04-27 11:01:40	ga_s2am_ard_3-2-1_52JDS_2016-04-27_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_50HNH_2016-10-16_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51KVU_2016-12-05_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KXU_2017-01-01_final.stac-item
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50KLV_2017-02-09_final.stac-item
2017-05-12 11:03:02	ga_s2am_ard_3-2-1_52JEM_2017-05-12_final.stac-item
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_49JGK_2017-07-29_final.stac-item
2017-08-09 11:36:05	ga_s2am_ard_3-2-1_51JTF_2017-08-09_final.stac-item
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JWJ_2017-10-05_final.stac-item
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_51JZM_2017-12-11_final.stac-item
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HPK_2018-02-08_final.stac-item
2018-02-21 11:54:34	ga_s2am_ard_3-2-1_50JLN_2018-02-21_final.stac-item
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JUM_2018-06-05_final.stac-item
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JVJ_2018-06-05_final.stac-item
2018-06-15 11:26:20	ga_s2am_ard_3-2-1_51KXU_2018-06-15_final.stac-item
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JPT_2018-06-18_final.stac-item
2018-08-07 11:40:42	ga_s2am_ard_3-2-1_50JPM_2018-08-07_final.stac-item
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_51JTJ_2018-09-26_final.stac-item
2018-10-27 11:13:53	ga_s2am_ard_3-2-1_51JXF_2018-10-27_final.stac-item
2018-10-27 11:13:53	ga_s2am_ard_3-2-1_52JBM_2018-10-27_final.stac-item
2019-02-07 11:23:10	ga_s2am_ard_3-2-1_51KXT_2019-02-07_final.stac-item
2019-03-26 11:16:40	ga_s2am_ard_3-2-1_51HXD_2019-03-26_final.stac-item
2019-06-17 11:24:55	ga_s2am_ard_3-2-1_51JYL_2019-06-17_final.stac-item
2019-06-23 11:45:11	ga_s2am_ard_3-2-1_50JPR_2019-06-23_final.stac-item
2019-07-01 11:06:11	ga_s2am_ard_3-2-1_52JCL_2019-07-01_final.stac-item
2019-07-09 12:05:02	ga_s2am_ard_3-2-1_50JKS_2019-07-09_final.stac-item
2019-07-26 11:56:23	ga_s2am_ard_3-2-1_50JNL_2019-07-26_final.stac-item
2019-08-16 11:25:31	ga_s2am_ard_3-2-1_51JWJ_2019-08-16_final.stac-item
2019-08-26 11:23:37	ga_s2am_ard_3-2-1_51KZR_2019-08-26_final.stac-item
2019-09-07 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2019-09-07_final.stac-item
2019-09-21 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2019-09-21_final.stac-item
2019-12-20 11:43:45	ga_s2am_ard_3-2-1_50KQA_2019-12-20_final.stac-item
2019-12-21 11:13:34	ga_s2am_ard_3-2-1_51KZR_2019-12-21_final.stac-item
2020-01-16 11:33:17	ga_s2am_ard_3-2-1_51KXS_2020-01-16_final.stac-item
2020-03-13 11:25:09	ga_s2am_ard_3-2-1_51JWK_2020-03-13_final.stac-item
2020-05-09 11:16:24	ga_s2am_ard_3-2-1_52HBK_2020-05-09_final.stac-item
2020-05-29 11:14:35	ga_s2am_ard_3-2-1_51JYN_2020-05-29_final.stac-item
2020-07-17 11:43:23	ga_s2am_ard_3-2-1_51KTT_2020-07-17_final.stac-item
2020-07-23 12:06:01	ga_s2am_ard_3-2-1_50JKN_2020-07-23_final.stac-item
2020-08-20 11:27:04	ga_s2am_ard_3-2-1_51HVC_2020-08-20_final.stac-item
2020-09-11 12:04:46	ga_s2am_ard_3-2-1_49JHN_2020-09-11_final.stac-item
2020-10-22 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2020-10-22_final.stac-item
2020-11-21 11:32:28	ga_s2am_ard_3-2-1_51KXA_2020-11-21_final.stac-item
2020-12-04 11:42:55	ga_s2am_ard_3-2-1_51KVU_2020-12-04_final.stac-item
2021-01-07 11:23:36	ga_s2am_ard_3-2-1_51KZR_2021-01-07_final.stac-item
2021-02-02 11:45:17	ga_s2am_ard_3-2-1_50JQQ_2021-02-02_final.stac-item
2021-02-12 11:47:13	ga_s2am_ard_3-2-1_50HLH_2021-02-12_final.stac-item
2021-02-16 11:24:58	ga_s2am_ard_3-2-1_51JWL_2021-02-16_final.stac-item
2021-03-11 11:33:27	ga_s2am_ard_3-2-1_51KWS_2021-03-11_final.stac-item
2021-06-08 12:05:56	ga_s2am_ard_3-2-1_50JKN_2021-06-08_final.stac-item
2021-06-22 11:42:47	ga_s2am_ard_3-2-1_51KUV_2021-06-22_final.stac-item
2021-06-22 11:46:16	ga_s2am_ard_3-2-1_50JQL_2021-06-22_final.stac-item
2021-07-20 11:06:06	ga_s2am_ard_3-2-1_52JDL_2021-07-20_final.stac-item
2021-08-08 11:33:55	ga_s2am_ard_3-2-1_51KXQ_2021-08-08_final.stac-item
2021-09-23 11:53:42	ga_s2am_ard_3-2-1_50KNB_2021-09-23_final.stac-item
2021-10-04 11:23:33	ga_s2am_ard_3-2-1_51KXS_2021-10-04_final.stac-item
2021-10-20 11:45:30	ga_s2am_ard_3-2-1_50JNQ_2021-10-20_final.stac-item
2021-10-27 11:33:53	ga_s2am_ard_3-2-1_51KUR_2021-10-27_final.stac-item
2021-11-06 11:33:12	ga_s2am_ard_3-2-1_51KXT_2021-11-06_final.stac-item
2021-11-06 11:33:37	ga_s2am_ard_3-2-1_51KUS_2021-11-06_final.stac-item
2021-11-06 11:37:10	ga_s2am_ard_3-2-1_50HPH_2021-11-06_final.stac-item
2021-11-19 11:46:37	ga_s2am_ard_3-2-1_50HNK_2021-11-19_final.stac-item
2022-01-25 11:32:32	ga_s2am_ard_3-2-1_51KVA_2022-01-25_final.stac-item
2022-02-04 11:32:07	ga_s2am_ard_3-2-1_51KYB_2022-02-04_final.stac-item
2022-02-04 11:32:11	ga_s2am_ard_3-2-1_51KXB_2022-02-04_final.stac-item
2022-03-02 11:53:24	ga_s2am_ard_3-2-1_50KPC_2022-03-02_final.stac-item
2022-03-09 11:43:47	ga_s2am_ard_3-2-1_51KUR_2022-03-09_final.stac-item
2022-07-18 11:16:32	ga_s2am_ard_3-2-1_52HBK_2022-07-18_final.stac-item
2022-07-30 11:55:56	ga_s2am_ard_3-2-1_50JKP_2022-07-30_final.stac-item
2022-07-31 11:23:05	ga_s2am_ard_3-2-1_51KZU_2022-07-31_final.stac-item
2022-09-12 11:35:14	ga_s2am_ard_3-2-1_51JTL_2022-09-12_final.stac-item
2022-09-26 11:15:14	ga_s2am_ard_3-2-1_52JBQ_2022-09-26_final.stac-item
2022-09-28 11:56:21	ga_s2am_ard_3-2-1_50JKM_2022-09-28_final.stac-item
2022-09-29 11:23:28	ga_s2am_ard_3-2-1_51KZS_2022-09-29_final.stac-item
2022-10-03 11:06:42	ga_s2am_ard_3-2-1_52HBJ_2022-10-03_final
2022-10-12 11:33:00	ga_s2am_ard_3-2-1_51KXU_2022-10-12_final.stac-item
2022-10-12 11:35:00	ga_s2am_ard_3-2-1_51JWL_2022-10-12_final.stac-item
2022-10-31 12:06:14	ga_s2am_ard_3-2-1_50JKM_2022-10-31_final.stac-item
2022-12-05 11:14:29	ga_s2am_ard_3-2-1_52JBT_2022-12-05_final.stac-item
2022-12-24 13:21:43	ga_s2am_ard_3-2-1_46LHM_2022-12-24_interim
2023-03-25 11:16:18	ga_s2am_ard_3-2-1_52HBK_2023-03-25_final
2023-04-27 11:25:28	ga_s2am_ard_3-2-1_51JWJ_2023-04-27_final
2023-06-20 11:05:12	ga_s2am_ard_3-2-1_52JCQ_2023-06-20_final
2023-06-26 11:23:39	ga_s2am_ard_3-2-1_51KZR_2023-06-26_final
2023-06-26 11:26:50	ga_s2am_ard_3-2-1_51HUD_2023-06-26_final
2023-07-19 11:37:11	ga_s2am_ard_3-2-1_50HPH_2023-07-19_final
2023-07-25 11:56:09	ga_s2am_ard_3-2-1_50JNM_2023-07-25_final
2023-08-02 11:14:26	ga_s2am_ard_3-2-1_52JCT_2023-08-02_final
2023-08-02 11:16:40	ga_s2am_ard_3-2-1_52HBJ_2023-08-02_nrt
2023-09-14 11:22:28	ga_s2am_ard_3-2-1_51KZA_2023-09-14_final
2023-10-24 11:25:57	ga_s2am_ard_3-2-1_51JWG_2023-10-24_final
2023-12-23 11:21:07	ga_s2am_ard_3-2-1_51LZF_2023-12-23_final
2024-01-02 11:26:23	ga_s2am_ard_3-2-1_51HWE_2024-01-02_final
2024-01-05 11:36:10	ga_s2am_ard_3-2-1_51JUF_2024-01-05_final
2024-01-11 11:57:09	ga_s2am_ard_3-2-1_49HGC_2024-01-11_nrt
2024-01-25 11:35:53	ga_s2am_ard_3-2-1_51JUG_2024-01-25_final
2024-02-24 11:36:12	ga_s2am_ard_3-2-1_51JUF_2024-02-24_final
2024-03-31 11:57:14	ga_s2am_ard_3-2-1_49HGC_2024-03-31_nrt
2024-04-11 11:23:07	ga_s2am_ard_3-2-1_51KZT_2024-04-11_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

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