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
2016-04-27 11:01:40	ga_s2am_ard_3-2-1_52JEP_2016-04-27_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51KTT_2016-05-09_final.stac-item
2016-05-25 12:04:47	ga_s2am_ard_3-2-1_49JGN_2016-05-25_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50KMU_2016-07-01_final.stac-item
2016-12-08 11:44:46	ga_s2am_ard_3-2-1_50KPC_2016-12-08_final.stac-item
2017-01-02 11:02:35	ga_s2am_ard_3-2-1_52KGU_2017-01-02_final.stac-item
2017-01-12 11:02:04	ga_s2am_ard_3-2-1_52KGF_2017-01-12_final.stac-item
2017-01-15 11:08:52	ga_s2am_ard_3-2-1_52KDC_2017-01-15_final.stac-item
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_51KVS_2017-01-24_final.stac-item
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_52KDV_2017-04-15_final.stac-item
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50HPK_2017-05-04_final.stac-item
2017-09-09 11:02:57	ga_s2am_ard_3-2-1_52JCN_2017-09-09_final.stac-item
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_51LWC_2017-09-21_final.stac-item
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50JKQ_2017-10-17_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_51KUS_2017-12-30_final.stac-item
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HLH_2018-01-12_final.stac-item
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51KYB_2018-01-13_final.stac-item
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_51KZR_2018-02-02_final.stac-item
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51JYH_2018-02-02_final.stac-item
2018-02-16 10:58:46	ga_s2am_ard_3-2-1_52KGD_2018-02-16_final.stac-item
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_51JYL_2018-02-19_final.stac-item
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_52JBN_2018-02-19_final.stac-item
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JXL_2018-02-22_final.stac-item
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51JVK_2018-02-25_final.stac-item
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_52JBS_2018-03-11_final.stac-item
2018-04-16 11:27:23	ga_s2am_ard_3-2-1_51KVB_2018-04-16_final.stac-item
2018-05-16 11:26:23	ga_s2am_ard_3-2-1_51KYT_2018-05-16_final.stac-item
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50JNL_2018-06-01_final.stac-item
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JUM_2018-06-05_final.stac-item
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JFQ_2018-06-06_final.stac-item
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_50JQP_2018-07-05_final.stac-item
2018-07-22 11:17:00	ga_s2am_ard_3-2-1_51KYS_2018-07-22_final.stac-item
2018-08-18 11:12:58	ga_s2am_ard_3-2-1_51HXD_2018-08-18_final.stac-item
2018-11-22 11:36:27	ga_s2am_ard_3-2-1_50HQK_2018-11-22_final.stac-item
2019-01-31 11:32:16	ga_s2am_ard_3-2-1_51KVB_2019-01-31_final.stac-item
2019-02-04 11:16:37	ga_s2am_ard_3-2-1_51HXD_2019-02-04_final.stac-item
2019-04-25 11:16:44	ga_s2am_ard_3-2-1_51HXD_2019-04-25_final.stac-item
2019-05-14 11:41:59	ga_s2am_ard_3-2-1_51LWC_2019-05-14_final.stac-item
2019-07-10 11:34:08	ga_s2am_ard_3-2-1_51KUQ_2019-07-10_final.stac-item
2019-07-14 11:13:35	ga_s2am_ard_3-2-1_52KEA_2019-07-14_final.stac-item
2019-07-25 10:45:52	ga_s2am_ard_3-2-1_52JGM_2019-07-25_final.stac-item
2019-08-03 11:13:59	ga_s2am_ard_3-2-1_51KZQ_2019-08-03_final.stac-item
2019-09-25 11:23:01	ga_s2am_ard_3-2-1_51KXU_2019-09-25_final.stac-item
2019-10-04 11:57:08	ga_s2am_ard_3-2-1_50HMH_2019-10-04_final.stac-item
2019-11-20 11:43:26	ga_s2am_ard_3-2-1_51KVS_2019-11-20_final.stac-item
2019-12-20 11:46:56	ga_s2am_ard_3-2-1_50HPH_2019-12-20_final.stac-item
2020-01-07 11:02:46	ga_s2am_ard_3-2-1_52KED_2020-01-07_final.stac-item
2020-02-22 11:26:00	ga_s2am_ard_3-2-1_51JUG_2020-02-22_final.stac-item
2020-02-26 11:02:39	ga_s2am_ard_3-2-1_52KGD_2020-02-26_final.stac-item
2020-03-03 11:23:12	ga_s2am_ard_3-2-1_52KCB_2020-03-03_final.stac-item
2020-04-22 11:26:06	ga_s2am_ard_3-2-1_51JUG_2020-04-22_final.stac-item
2020-05-22 11:22:29	ga_s2am_ard_3-2-1_51KZA_2020-05-22_final.stac-item
2020-05-29 11:13:31	ga_s2am_ard_3-2-1_52KBB_2020-05-29_final.stac-item
2020-06-14 11:33:08	ga_s2am_ard_3-2-1_51KVU_2020-06-14_final.stac-item
2020-08-10 11:26:46	ga_s2am_ard_3-2-1_51HWD_2020-08-10_final.stac-item
2020-11-14 11:43:33	ga_s2am_ard_3-2-1_51KUS_2020-11-14_final.stac-item
2020-12-21 11:32:10	ga_s2am_ard_3-2-1_51KXB_2020-12-21_final.stac-item
2021-01-23 11:42:46	ga_s2am_ard_3-2-1_51KUV_2021-01-23_final.stac-item
2021-01-27 11:24:02	ga_s2am_ard_3-2-1_51KWQ_2021-01-27_final.stac-item
2021-05-13 11:43:14	ga_s2am_ard_3-2-1_51KUT_2021-05-13_final.stac-item
2021-05-16 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2021-05-16_final.stac-item
2021-06-28 12:03:28	ga_s2am_ard_3-2-1_50KLC_2021-06-28_final.stac-item
2021-07-23 11:13:58	ga_s2am_ard_3-2-1_52KBV_2021-07-23_final.stac-item
2021-09-11 11:12:54	ga_s2am_ard_3-2-1_52KFC_2021-09-11_final.stac-item
2021-11-02 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2021-11-02_final.stac-item
2021-12-04 10:55:02	ga_s2am_ard_3-2-1_52JFQ_2021-12-04_final.stac-item
2022-02-01 11:23:13	ga_s2am_ard_3-2-1_51KXT_2022-02-01_final.stac-item
2022-04-15 11:32:58	ga_s2am_ard_3-2-1_51KXU_2022-04-15_final.stac-item
2022-05-02 11:24:13	ga_s2am_ard_3-2-1_51KYP_2022-05-02_final.stac-item
2022-05-05 11:33:28	ga_s2am_ard_3-2-1_51KXS_2022-05-05_final.stac-item
2022-05-18 11:44:40	ga_s2am_ard_3-2-1_50JQT_2022-05-18_final.stac-item
2022-05-19 11:14:29	ga_s2am_ard_3-2-1_51JZN_2022-05-19_final.stac-item
2022-06-01 11:22:12	ga_s2am_ard_3-2-1_52KCG_2022-06-01_final.stac-item
2022-09-06 11:13:19	ga_s2am_ard_3-2-1_52KCC_2022-09-06_final.stac-item
2022-09-21 12:04:42	ga_s2am_ard_3-2-1_49KGP_2022-09-21_final.stac-item
2022-10-02 11:35:08	ga_s2am_ard_3-2-1_51JUL_2022-10-02_final.stac-item
2022-10-12 11:34:52	ga_s2am_ard_3-2-1_51JUM_2022-10-12_final.stac-item
2022-11-21 11:34:37	ga_s2am_ard_3-2-1_50JRT_2022-11-21_final.stac-item
2022-12-21 11:33:46	ga_s2am_ard_3-2-1_51KUR_2022-12-21_final.stac-item
2022-12-22 11:04:22	ga_s2am_ard_3-2-1_52JGS_2022-12-22_final.stac-item
2022-12-24 13:21:43	ga_s2am_ard_3-2-1_46LHM_2022-12-24_interim
2023-01-23 11:41:55	ga_s2am_ard_3-2-1_51LVC_2023-01-23_final.stac-item
2023-01-26 11:57:12	ga_s2am_ard_3-2-1_49HGC_2023-01-26_nrt.stac-item
2023-02-15 11:55:43	ga_s2am_ard_3-2-1_50JKP_2023-02-15_nrt.stac-item
2023-03-01 11:31:03	ga_s2am_ard_3-2-1_51LZF_2023-03-01_final
2023-03-02 11:02:12	ga_s2am_ard_3-2-1_52KGF_2023-03-02_final
2023-05-03 11:42:46	ga_s2am_ard_3-2-1_51KUV_2023-05-03_final
2023-05-06 11:56:18	ga_s2am_ard_3-2-1_50JNL_2023-05-06_final
2023-05-21 11:06:12	ga_s2am_ard_3-2-1_52JBL_2023-05-21_final
2023-06-20 11:04:36	ga_s2am_ard_3-2-1_52JES_2023-06-20_final
2023-06-27 10:54:33	ga_s2am_ard_3-2-1_52JGS_2023-06-27_final
2023-06-30 11:04:04	ga_s2am_ard_3-2-1_52KFU_2023-06-30_final
2023-07-22 11:47:18	ga_s2am_ard_3-2-1_50HLH_2023-07-22_final
2023-07-29 11:37:06	ga_s2am_ard_3-2-1_51HTC_2023-07-29_final
2023-11-03 11:23:13	ga_s2am_ard_3-2-1_51KZS_2023-11-03_final
2024-01-20 10:45:39	ga_s2am_ard_3-2-1_52JGM_2024-01-20_final
2024-01-26 11:06:18	ga_s2am_ard_3-2-1_52HBK_2024-01-26_final
2024-03-09 11:16:35	ga_s2am_ard_3-2-1_52HBJ_2024-03-09_final
2024-03-15 11:33:02	ga_s2am_ard_3-2-1_51KYT_2024-03-15_final
2024-03-16 11:05:49	ga_s2am_ard_3-2-1_52JDM_2024-03-16_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