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
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JNQ_2016-01-20_final.stac-item
2016-01-31 11:12:11	ga_s2am_ard_3-2-1_52KED_2016-01-31_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51KZT_2016-05-23_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51JUN_2016-06-25_final.stac-item
2017-01-05 11:12:08	ga_s2am_ard_3-2-1_52KDB_2017-01-05_final.stac-item
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50JKM_2017-01-30_final.stac-item
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50JLR_2017-02-26_final.stac-item
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_51HWE_2017-04-15_final.stac-item
2017-08-16 11:26:10	ga_s2am_ard_3-2-1_51JUF_2017-08-16_final.stac-item
2017-09-30 12:13:18	ga_s2am_ard_3-2-1_50KKA_2017-09-30_final.stac-item
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50JMM_2017-10-11_final.stac-item
2017-11-08 11:02:57	ga_s2am_ard_3-2-1_52HBK_2017-11-08_final.stac-item
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KVB_2018-02-15_final.stac-item
2018-02-18 11:37:49	ga_s2am_ard_3-2-1_51KVB_2018-02-18_final.stac-item
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_52KBB_2018-02-19_final.stac-item
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_52KCV_2018-02-19_final.stac-item
2018-03-24 11:24:03	ga_s2am_ard_3-2-1_51HWE_2018-03-24_final.stac-item
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JMQ_2018-04-22_final.stac-item
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_51KVS_2018-05-06_final.stac-item
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KZA_2018-05-23_final.stac-item
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JWN_2018-09-30_final.stac-item
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JKP_2018-10-19_final.stac-item
2018-10-30 11:24:52	ga_s2am_ard_3-2-1_51HWD_2018-10-30_final.stac-item
2018-12-09 11:24:14	ga_s2am_ard_3-2-1_51JYN_2018-12-09_final.stac-item
2018-12-22 11:32:03	ga_s2am_ard_3-2-1_51KXB_2018-12-22_final.stac-item
2019-02-04 11:16:23	ga_s2am_ard_3-2-1_51HXE_2019-02-04_final.stac-item
2019-02-20 11:32:47	ga_s2am_ard_3-2-1_51KYU_2019-02-20_final.stac-item
2019-05-09 10:55:35	ga_s2am_ard_3-2-1_52JFN_2019-05-09_final.stac-item
2019-06-07 11:27:00	ga_s2am_ard_3-2-1_51HVC_2019-06-07_final.stac-item
2019-06-13 11:45:27	ga_s2am_ard_3-2-1_50JNQ_2019-06-13_final.stac-item
2019-06-13 11:45:32	ga_s2am_ard_3-2-1_51JTJ_2019-06-13_final.stac-item
2019-06-28 10:55:54	ga_s2am_ard_3-2-1_52JEM_2019-06-28_final.stac-item
2019-06-29 12:05:34	ga_s2am_ard_3-2-1_49JGK_2019-06-29_final.stac-item
2019-10-12 11:15:27	ga_s2am_ard_3-2-1_51JYJ_2019-10-12_final.stac-item
2019-11-01 11:15:28	ga_s2am_ard_3-2-1_51JYJ_2019-11-01_final.stac-item
2019-11-16 12:06:04	ga_s2am_ard_3-2-1_50JLM_2019-11-16_final.stac-item
2020-01-22 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2020-01-22_final.stac-item
2020-01-23 11:23:51	ga_s2am_ard_3-2-1_51KXQ_2020-01-23_final.stac-item
2020-03-19 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2020-03-19_final.stac-item
2020-03-30 11:14:13	ga_s2am_ard_3-2-1_52JDT_2020-03-30_final.stac-item
2020-04-15 11:33:30	ga_s2am_ard_3-2-1_51KVS_2020-04-15_final.stac-item
2020-04-16 11:06:03	ga_s2am_ard_3-2-1_52JDL_2020-04-16_final.stac-item
2020-05-05 11:33:07	ga_s2am_ard_3-2-1_51KWU_2020-05-05_final.stac-item
2020-05-13 10:56:09	ga_s2am_ard_3-2-1_52JEL_2020-05-13_final.stac-item
2020-05-17 12:14:46	ga_s2am_ard_3-2-1_49JGN_2020-05-17_final.stac-item
2020-05-24 12:04:05	ga_s2am_ard_3-2-1_50KKA_2020-05-24_final.stac-item
2020-07-11 11:23:14	ga_s2am_ard_3-2-1_51KYT_2020-07-11_final.stac-item
2020-07-21 11:26:52	ga_s2am_ard_3-2-1_51HUD_2020-07-21_final.stac-item
2020-08-10 11:26:35	ga_s2am_ard_3-2-1_51HVE_2020-08-10_final.stac-item
2020-11-01 11:36:43	ga_s2am_ard_3-2-1_50HPK_2020-11-01_final.stac-item
2020-11-19 10:54:47	ga_s2am_ard_3-2-1_52JGR_2020-11-19_final.stac-item
2020-12-10 12:03:34	ga_s2am_ard_3-2-1_50KMB_2020-12-10_final.stac-item
2020-12-11 11:31:49	ga_s2am_ard_3-2-1_51LYC_2020-12-11_final.stac-item
2021-02-16 11:25:52	ga_s2am_ard_3-2-1_51JXG_2021-02-16_final.stac-item
2021-02-16 11:26:04	ga_s2am_ard_3-2-1_51JUG_2021-02-16_final.stac-item
2021-04-03 11:41:52	ga_s2am_ard_3-2-1_51LWC_2021-04-03_final.stac-item
2021-04-12 12:14:51	ga_s2am_ard_3-2-1_49JGM_2021-04-12_final.stac-item
2021-04-12 12:15:05	ga_s2am_ard_3-2-1_49JGL_2021-04-12_final.stac-item
2021-06-08 12:04:25	ga_s2am_ard_3-2-1_50KLU_2021-06-08_final.stac-item
2021-06-18 12:06:10	ga_s2am_ard_3-2-1_50JKM_2021-06-18_final.stac-item
2021-06-22 11:46:44	ga_s2am_ard_3-2-1_50HQJ_2021-06-22_final.stac-item
2021-07-18 12:05:00	ga_s2am_ard_3-2-1_50JKS_2021-07-18_final.stac-item
2021-07-29 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2021-07-29_final.stac-item
2021-09-17 11:32:21	ga_s2am_ard_3-2-1_51KVB_2021-09-17_final.stac-item
2021-10-31 11:12:51	ga_s2am_ard_3-2-1_52KED_2021-10-31_final.stac-item
2021-10-31 11:14:51	ga_s2am_ard_3-2-1_52JDR_2021-10-31_final.stac-item
2021-11-19 11:45:14	ga_s2am_ard_3-2-1_51JTK_2021-11-19_final.stac-item
2021-11-22 11:53:56	ga_s2am_ard_3-2-1_50KMA_2021-11-22_final.stac-item
2022-04-12 11:23:30	ga_s2am_ard_3-2-1_51KYS_2022-04-12_final.stac-item
2022-04-12 11:25:44	ga_s2am_ard_3-2-1_51JWH_2022-04-12_final.stac-item
2022-05-01 11:53:51	ga_s2am_ard_3-2-1_50KQA_2022-05-01_final.stac-item
2022-05-04 12:06:15	ga_s2am_ard_3-2-1_50JKM_2022-05-04_final.stac-item
2022-05-12 11:25:34	ga_s2am_ard_3-2-1_51JVJ_2022-05-12_final.stac-item
2022-06-18 11:15:36	ga_s2am_ard_3-2-1_51JYJ_2022-06-18_final.stac-item
2022-09-02 11:34:30	ga_s2am_ard_3-2-1_51KUP_2022-09-02_final.stac-item
2022-09-08 11:55:39	ga_s2am_ard_3-2-1_50JLQ_2022-09-08_final.stac-item
2022-09-09 11:26:08	ga_s2am_ard_3-2-1_51JWG_2022-09-09_final.stac-item
2022-09-15 11:46:00	ga_s2am_ard_3-2-1_50JPN_2022-09-15_final.stac-item
2022-10-12 11:34:11	ga_s2am_ard_3-2-1_51KXP_2022-10-12_final.stac-item
2022-10-25 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2022-10-25_final.stac-item
2022-11-11 11:37:10	ga_s2am_ard_3-2-1_50HPH_2022-11-11_final.stac-item
2022-11-12 11:06:27	ga_s2am_ard_3-2-1_52HBK_2022-11-12_final.stac-item
2022-11-21 11:33:28	ga_s2am_ard_3-2-1_51KWS_2022-11-21_final.stac-item
2022-12-28 11:22:21	ga_s2am_ard_3-2-1_52KBF_2022-12-28_final.stac-item
2023-01-03 11:46:04	ga_s2am_ard_3-2-1_50JPM_2023-01-03_final.stac-item
2023-01-04 11:13:29	ga_s2am_ard_3-2-1_52KEA_2023-01-04_final.stac-item
2023-01-06 11:56:13	ga_s2am_ard_3-2-1_50JKM_2023-01-06_final.stac-item
2023-01-08 10:54:35	ga_s2am_ard_3-2-1_52JGS_2023-01-08_final.stac-item
2023-01-18 10:55:23	ga_s2am_ard_3-2-1_52JGN_2023-01-18_final.stac-item
2023-04-30 11:34:15	ga_s2am_ard_3-2-1_51JXN_2023-04-30_final
2023-05-27 11:23:32	ga_s2am_ard_3-2-1_51KXS_2023-05-27_final
2023-06-26 11:22:41	ga_s2am_ard_3-2-1_51KZV_2023-06-26_final
2023-10-31 11:16:34	ga_s2am_ard_3-2-1_52HBJ_2023-10-31_nrt
2023-11-26 11:36:37	ga_s2am_ard_3-2-1_51HUD_2023-11-26_final
2024-01-05 11:37:03	ga_s2am_ard_3-2-1_50HPH_2024-01-05_final
2024-01-12 11:25:55	ga_s2am_ard_3-2-1_51JVG_2024-01-12_final
2024-02-11 11:21:44	ga_s2am_ard_3-2-1_51LZC_2024-02-11_final
2024-03-02 11:23:35	ga_s2am_ard_3-2-1_52KBA_2024-03-02_final
2024-03-05 11:32:51	ga_s2am_ard_3-2-1_51KYU_2024-03-05_final
2024-03-08 11:41:56	ga_s2am_ard_3-2-1_51LWC_2024-03-08_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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