Search ga_s2bm_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
2017-11-06 11:13:39	ga_s2bm_ard_3-2-1_51JZM_2017-11-06_final.stac-item
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51LZC_2017-12-29_final.stac-item
2018-01-13 10:27:00	ga_s2bm_ard_3-2-1_53JPN_2018-01-13_final.stac-item
2018-01-22 10:57:08	ga_s2bm_ard_3-2-1_52LHN_2018-01-22_final.stac-item
2018-01-26 10:37:20	ga_s2bm_ard_3-2-1_53KNV_2018-01-26_final.stac-item
2018-01-26 10:37:20	ga_s2bm_ard_3-2-1_53KPP_2018-01-26_final.stac-item
2018-01-26 10:37:20	ga_s2bm_ard_3-2-1_53KPS_2018-01-26_final.stac-item
2018-05-03 10:27:07	ga_s2bm_ard_3-2-1_53JQG_2018-05-03_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JNS_2018-06-06_final.stac-item
2018-07-02 10:31:05	ga_s2bm_ard_3-2-1_53JPM_2018-07-02_final.stac-item
2018-08-24 10:41:39	ga_s2bm_ard_3-2-1_53JNK_2018-08-24_final.stac-item
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53HQE_2018-08-31_final.stac-item
2018-09-19 11:04:43	ga_s2bm_ard_3-2-1_52JCL_2018-09-19_final.stac-item
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KUT_2018-10-18_final.stac-item
2018-11-12 10:44:10	ga_s2bm_ard_3-2-1_53JNM_2018-11-12_final.stac-item
2018-12-04 11:22:47	ga_s2bm_ard_3-2-1_51KZU_2018-12-04_final.stac-item
2018-12-12 10:45:41	ga_s2bm_ard_3-2-1_53JLF_2018-12-12_final.stac-item
2019-01-21 10:42:32	ga_s2bm_ard_3-2-1_53KQU_2019-01-21_final.stac-item
2019-01-25 10:26:47	ga_s2bm_ard_3-2-1_53HQB_2019-01-25_final.stac-item
2019-02-03 10:53:07	ga_s2bm_ard_3-2-1_53KMS_2019-02-03_final.stac-item
2019-05-01 10:44:10	ga_s2bm_ard_3-2-1_53JPN_2019-05-01_final.stac-item
2019-05-05 10:26:58	ga_s2bm_ard_3-2-1_53HPB_2019-05-05_final.stac-item
2019-06-22 11:24:34	ga_s2bm_ard_3-2-1_51JXN_2019-06-22_final.stac-item
2019-07-25 11:32:59	ga_s2bm_ard_3-2-1_51KYU_2019-07-25_final.stac-item
2019-08-09 10:46:31	ga_s2bm_ard_3-2-1_53HLD_2019-08-09_final.stac-item
2019-12-26 11:15:46	ga_s2bm_ard_3-2-1_52JBM_2019-12-26_final.stac-item
2020-01-01 11:31:10	ga_s2bm_ard_3-2-1_52LBK_2020-01-01_final.stac-item
2020-01-05 11:14:26	ga_s2bm_ard_3-2-1_52JDS_2020-01-05_final.stac-item
2020-01-08 11:23:44	ga_s2bm_ard_3-2-1_52KBV_2020-01-08_final.stac-item
2020-02-19 10:26:32	ga_s2bm_ard_3-2-1_53HPC_2020-02-19_final.stac-item
2020-07-01 10:33:55	ga_s2bm_ard_3-2-1_53KPP_2020-07-01_final.stac-item
2020-08-11 11:46:59	ga_s2bm_ard_3-2-1_50HMJ_2020-08-11_final.stac-item
2020-09-17 11:35:28	ga_s2bm_ard_3-2-1_51JVJ_2020-09-17_final.stac-item
2020-09-22 10:42:48	ga_s2bm_ard_3-2-1_53KMU_2020-09-22_final.stac-item
2020-09-29 10:34:17	ga_s2bm_ard_3-2-1_53JRM_2020-09-29_final.stac-item
2020-11-28 10:36:28	ga_s2bm_ard_3-2-1_53HLD_2020-11-28_final.stac-item
2020-11-28 10:36:46	ga_s2bm_ard_3-2-1_53HPB_2020-11-28_final.stac-item
2021-01-13 10:55:53	ga_s2bm_ard_3-2-1_53JKF_2021-01-13_final.stac-item
2021-01-14 10:26:50	ga_s2bm_ard_3-2-1_53HPB_2021-01-14_final.stac-item
2021-01-27 10:36:46	ga_s2bm_ard_3-2-1_53HPB_2021-01-27_final.stac-item
2021-02-05 11:00:44	ga_s2bm_ard_3-2-1_52LHM_2021-02-05_final.stac-item
2021-02-07 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2021-02-07_final.stac-item
2021-02-12 10:54:39	ga_s2bm_ard_3-2-1_53JKL_2021-02-12_final.stac-item
2021-02-18 11:16:18	ga_s2bm_ard_3-2-1_52HBK_2021-02-18_final.stac-item
2021-02-22 10:52:32	ga_s2bm_ard_3-2-1_53KNU_2021-02-22_final.stac-item
2021-03-03 11:24:40	ga_s2bm_ard_3-2-1_51JXM_2021-03-03_final.stac-item
2021-03-08 10:34:21	ga_s2bm_ard_3-2-1_53JPM_2021-03-08_final.stac-item
2021-06-18 11:16:38	ga_s2bm_ard_3-2-1_51HYD_2021-06-18_final.stac-item
2021-06-24 11:36:34	ga_s2bm_ard_3-2-1_50HQK_2021-06-24_final.stac-item
2021-08-02 10:25:07	ga_s2bm_ard_3-2-1_53JQJ_2021-08-02_final.stac-item
2021-08-10 11:25:28	ga_s2bm_ard_3-2-1_51JWJ_2021-08-10_final.stac-item
2021-09-12 11:36:43	ga_s2bm_ard_3-2-1_51HTD_2021-09-12_final.stac-item
2021-09-17 10:45:10	ga_s2bm_ard_3-2-1_53JKJ_2021-09-17_final.stac-item
2021-09-20 10:53:29	ga_s2bm_ard_3-2-1_52KGA_2021-09-20_final.stac-item
2021-10-25 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2021-10-25_final.stac-item
2022-01-01 11:00:58	ga_s2bm_ard_3-2-1_52LGL_2022-01-01_final.stac-item
2022-01-12 10:34:03	ga_s2bm_ard_3-2-1_53JPN_2022-01-12_final.stac-item
2022-01-25 10:42:01	ga_s2bm_ard_3-2-1_53KPA_2022-01-25_final.stac-item
2022-02-03 11:12:44	ga_s2bm_ard_3-2-1_52KDD_2022-02-03_final.stac-item
2022-02-21 10:36:30	ga_s2bm_ard_3-2-1_53HNC_2022-02-21_final.stac-item
2022-03-05 11:15:01	ga_s2bm_ard_3-2-1_52JCQ_2022-03-05_final.stac-item
2022-03-15 11:10:23	ga_s2bm_ard_3-2-1_52LHN_2022-03-15_final.stac-item
2022-04-27 11:24:01	ga_s2bm_ard_3-2-1_51KYP_2022-04-27_final.stac-item
2022-05-01 11:04:05	ga_s2bm_ard_3-2-1_52JFT_2022-05-01_final.stac-item
2022-06-01 10:35:01	ga_s2bm_ard_3-2-1_53JQJ_2022-06-01_final.stac-item
2022-06-08 12:04:00	ga_s2bm_ard_3-2-1_50KKA_2022-06-08_final.stac-item
2022-06-19 11:33:13	ga_s2bm_ard_3-2-1_51KXT_2022-06-19_final.stac-item
2022-08-31 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2022-08-31_final.stac-item
2022-09-09 10:36:09	ga_s2bm_ard_3-2-1_53HNE_2022-09-09_final.stac-item
2022-09-11 12:51:02	ga_s2bm_ard_3-2-1_48LWP_2022-09-11_final
2022-09-13 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2022-09-13_final.stac-item
2022-10-01 11:14:08	ga_s2bm_ard_3-2-1_51KZP_2022-10-01_final.stac-item
2022-10-16 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2022-10-16_final.stac-item
2022-10-25 10:54:51	ga_s2bm_ard_3-2-1_53JLK_2022-10-25_final.stac-item
2022-10-26 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2022-10-26_final.stac-item
2022-10-30 11:44:58	ga_s2bm_ard_3-2-1_51JTL_2022-10-30_final.stac-item
2022-11-17 11:02:44	ga_s2bm_ard_3-2-1_52KGD_2022-11-17_final.stac-item
2022-11-18 10:36:46	ga_s2bm_ard_3-2-1_53HPB_2022-11-18_final.stac-item
2022-11-20 11:14:41	ga_s2bm_ard_3-2-1_51JYM_2022-11-20_final.stac-item
2022-12-08 10:36:43	ga_s2bm_ard_3-2-1_53HPB_2022-12-08_final.stac-item
2022-12-24 10:53:10	ga_s2bm_ard_3-2-1_53KLS_2022-12-24_final.stac-item
2023-01-02 11:22:07	ga_s2bm_ard_3-2-1_51KZB_2023-01-02_final.stac-item
2023-01-19 11:11:34	ga_s2bm_ard_3-2-1_52LDJ_2023-01-19_final.stac-item
2023-01-30 10:44:47	ga_s2bm_ard_3-2-1_53JNK_2023-01-30_final.stac-item
2023-02-02 10:52:23	ga_s2bm_ard_3-2-1_53KLV_2023-02-02_final
2023-02-28 11:12:47	ga_s2bm_ard_3-2-1_52KED_2023-02-28_final
2023-05-10 10:44:19	ga_s2bm_ard_3-2-1_53JPM_2023-05-10_final
2023-05-15 11:31:08	ga_s2bm_ard_3-2-1_52LBL_2023-05-15_nrt
2023-06-21 11:23:29	ga_s2bm_ard_3-2-1_51KYS_2023-06-21_final
2023-06-28 11:15:23	ga_s2bm_ard_3-2-1_52JCP_2023-06-28_final
2023-06-29 10:43:13	ga_s2bm_ard_3-2-1_53KNS_2023-06-29_final
2023-08-13 11:37:08	ga_s2bm_ard_3-2-1_50HQH_2023-08-13_final
2023-09-02 11:37:06	ga_s2bm_ard_3-2-1_51HTC_2023-09-02_final
2023-11-11 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2023-11-11_final
2023-12-08 11:24:29	ga_s2bm_ard_3-2-1_52JBS_2023-12-08_final
2024-01-09 10:26:49	ga_s2bm_ard_3-2-1_53HPB_2024-01-09_final
2024-03-02 10:34:05	ga_s2bm_ard_3-2-1_53JPN_2024-03-02_final
2024-03-04 11:13:00	ga_s2bm_ard_3-2-1_52KDC_2024-03-04_final
2024-03-25 10:41:56	ga_s2bm_ard_3-2-1_53KNB_2024-03-25_final
2024-05-06 11:21:11	ga_s2bm_ard_3-2-1_51LZF_2024-05-06_nrt

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B 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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