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
2017-07-01 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2017-07-01_final.stac-item
2017-10-26 10:05:38	ga_s2bm_ard_3-2-1_54HYH_2017-10-26_final.stac-item
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_51KWR_2017-11-02_final.stac-item
2017-11-13 10:57:02	ga_s2bm_ard_3-2-1_52LHH_2017-11-13_final.stac-item
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51KTR_2017-12-25_final.stac-item
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50HMK_2018-01-17_final.stac-item
2018-02-08 10:47:18	ga_s2bm_ard_3-2-1_53LNC_2018-02-08_final.stac-item
2018-06-12 10:33:10	ga_s2bm_ard_3-2-1_53JPL_2018-06-12_final.stac-item
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_50KLB_2018-06-19_final.stac-item
2018-07-02 10:31:05	ga_s2bm_ard_3-2-1_53JQM_2018-07-02_final.stac-item
2018-07-22 10:31:03	ga_s2bm_ard_3-2-1_53JQL_2018-07-22_final.stac-item
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51KVT_2018-09-18_final.stac-item
2018-11-06 10:25:50	ga_s2bm_ard_3-2-1_53JPF_2018-11-06_final.stac-item
2018-11-19 10:33:32	ga_s2bm_ard_3-2-1_53KQQ_2018-11-19_final.stac-item
2018-12-17 11:33:16	ga_s2bm_ard_3-2-1_51KUT_2018-12-17_final.stac-item
2019-03-24 11:25:04	ga_s2bm_ard_3-2-1_51JVL_2019-03-24_final.stac-item
2019-03-27 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2019-03-27_final.stac-item
2019-05-03 11:23:43	ga_s2bm_ard_3-2-1_51KZR_2019-05-03_final.stac-item
2019-06-08 11:43:22	ga_s2bm_ard_3-2-1_51KUT_2019-06-08_final.stac-item
2019-06-24 10:24:27	ga_s2bm_ard_3-2-1_54JTS_2019-06-24_final.stac-item
2019-08-13 10:24:40	ga_s2bm_ard_3-2-1_54JTR_2019-08-13_final.stac-item
2019-08-28 11:13:17	ga_s2bm_ard_3-2-1_52KCC_2019-08-28_final.stac-item
2019-09-21 10:52:33	ga_s2bm_ard_3-2-1_53KNU_2019-09-21_final.stac-item
2019-10-27 11:11:41	ga_s2bm_ard_3-2-1_52LGH_2019-10-27_final.stac-item
2019-10-28 10:43:12	ga_s2bm_ard_3-2-1_53KMS_2019-10-28_final.stac-item
2019-11-21 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2019-11-21_final.stac-item
2020-02-21 11:00:59	ga_s2bm_ard_3-2-1_53LKF_2020-02-21_final.stac-item
2020-04-29 10:25:28	ga_s2bm_ard_3-2-1_54JTM_2020-04-29_final.stac-item
2020-07-09 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2020-07-09_final.stac-item
2020-08-02 11:16:47	ga_s2bm_ard_3-2-1_51HWD_2020-08-02_final.stac-item
2020-08-18 11:33:34	ga_s2bm_ard_3-2-1_51KVS_2020-08-18_final.stac-item
2020-09-30 11:43:32	ga_s2bm_ard_3-2-1_51KUS_2020-09-30_final.stac-item
2020-11-06 11:33:04	ga_s2bm_ard_3-2-1_51KYT_2020-11-06_final.stac-item
2020-12-03 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2020-12-03_final.stac-item
2021-01-08 11:43:46	ga_s2bm_ard_3-2-1_50KRA_2021-01-08_final.stac-item
2021-02-25 11:01:27	ga_s2bm_ard_3-2-1_52LHJ_2021-02-25_final.stac-item
2021-03-10 11:10:46	ga_s2bm_ard_3-2-1_52LFM_2021-03-10_final
2021-04-07 10:33:47	ga_s2bm_ard_3-2-1_53KQP_2021-04-07_final.stac-item
2021-04-09 11:15:36	ga_s2bm_ard_3-2-1_51JYH_2021-04-09_final.stac-item
2021-04-12 11:26:19	ga_s2bm_ard_3-2-1_51HXE_2021-04-12_final.stac-item
2021-05-05 11:32:59	ga_s2bm_ard_3-2-1_51KYT_2021-05-05_final.stac-item
2021-06-03 12:04:50	ga_s2bm_ard_3-2-1_50JMS_2021-06-03_final.stac-item
2021-06-16 10:33:50	ga_s2bm_ard_3-2-1_53KQP_2021-06-16_final.stac-item
2021-06-22 10:54:41	ga_s2bm_ard_3-2-1_53JKL_2021-06-22_final.stac-item
2021-06-25 11:05:02	ga_s2bm_ard_3-2-1_52JEQ_2021-06-25_final.stac-item
2021-07-27 11:42:01	ga_s2bm_ard_3-2-1_51LVC_2021-07-27_final.stac-item
2021-09-23 11:00:34	ga_s2bm_ard_3-2-1_53LMG_2021-09-23_final.stac-item
2021-10-31 10:24:58	ga_s2bm_ard_3-2-1_53JQK_2021-10-31_final.stac-item
2021-11-11 09:58:05	ga_s2bm_ard_3-2-1_54GYA_2021-11-11_final.stac-item
2021-12-19 10:50:15	ga_s2bm_ard_3-2-1_53LPH_2021-12-19_final
2021-12-31 11:31:44	ga_s2bm_ard_3-2-1_51LZC_2021-12-31_final.stac-item
2021-12-31 11:36:57	ga_s2bm_ard_3-2-1_51HTC_2021-12-31_final.stac-item
2022-01-04 11:13:36	ga_s2bm_ard_3-2-1_51KZR_2022-01-04_final.stac-item
2022-01-11 11:00:26	ga_s2bm_ard_3-2-1_52LHN_2022-01-11_final.stac-item
2022-01-22 10:36:24	ga_s2bm_ard_3-2-1_53HLD_2022-01-22_final.stac-item
2022-01-25 10:42:30	ga_s2bm_ard_3-2-1_53KPU_2022-01-25_final.stac-item
2022-01-28 10:54:20	ga_s2bm_ard_3-2-1_52JHS_2022-01-28_final.stac-item
2022-02-25 10:11:37	ga_s2bm_ard_3-2-1_54KYG_2022-02-25_final.stac-item
2022-03-28 11:24:48	ga_s2bm_ard_3-2-1_51JYL_2022-03-28_final.stac-item
2022-04-27 11:24:25	ga_s2bm_ard_3-2-1_51JZM_2022-04-27_final.stac-item
2022-05-08 10:51:28	ga_s2bm_ard_3-2-1_53LPC_2022-05-08_final.stac-item
2022-05-20 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2022-05-20_final.stac-item
2022-06-14 10:40:43	ga_s2bm_ard_3-2-1_53LPG_2022-06-14_final.stac-item
2022-07-01 10:32:46	ga_s2bm_ard_3-2-1_54KUC_2022-07-01_final.stac-item
2022-07-11 10:34:04	ga_s2bm_ard_3-2-1_53JRN_2022-07-11_final.stac-item
2022-07-21 10:33:58	ga_s2bm_ard_3-2-1_53KPP_2022-07-21_final.stac-item
2022-10-28 11:01:40	ga_s2bm_ard_3-2-1_53LKC_2022-10-28_final.stac-item
2022-10-29 10:33:44	ga_s2bm_ard_3-2-1_54KTU_2022-10-29_final.stac-item
2022-11-09 13:21:37	ga_s2bm_ard_3-2-1_47LKH_2022-11-09_interim
2022-12-12 11:57:12	ga_s2bm_ard_3-2-1_49HGC_2022-12-12_nrt.stac-item
2022-12-18 10:36:57	ga_s2bm_ard_3-2-1_53HPA_2022-12-18_final.stac-item
2022-12-24 10:52:29	ga_s2bm_ard_3-2-1_53KKV_2022-12-24_final.stac-item
2022-12-31 10:42:42	ga_s2bm_ard_3-2-1_53KMU_2022-12-31_final.stac-item
2023-01-25 11:32:56	ga_s2bm_ard_3-2-1_51KWU_2023-01-25_final.stac-item
2023-01-30 10:45:05	ga_s2bm_ard_3-2-1_53JMJ_2023-01-30_final.stac-item
2023-02-22 10:55:39	ga_s2bm_ard_3-2-1_53JKG_2023-02-22_final
2023-02-28 11:12:50	ga_s2bm_ard_3-2-1_52KDD_2023-02-28_final
2023-03-28 10:35:23	ga_s2bm_ard_3-2-1_53JPH_2023-03-28_final
2023-03-29 11:41:00	ga_s2bm_ard_3-2-1_51LWG_2023-03-29_final
2023-04-01 11:56:40	ga_s2bm_ard_3-2-1_50HMK_2023-04-01_final
2023-04-07 10:33:55	ga_s2bm_ard_3-2-1_53KPP_2023-04-07_final
2023-05-14 10:24:20	ga_s2bm_ard_3-2-1_53JRM_2023-05-14_final
2023-06-19 10:41:35	ga_s2bm_ard_3-2-1_53LRC_2023-06-19_nrt
2023-07-03 10:24:00	ga_s2bm_ard_3-2-1_54JWT_2023-07-03_final
2023-07-03 10:24:32	ga_s2bm_ard_3-2-1_54JVR_2023-07-03_final
2023-07-16 10:34:05	ga_s2bm_ard_3-2-1_53JRN_2023-07-16_final
2023-10-05 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2023-10-05_final
2023-11-30 10:26:27	ga_s2bm_ard_3-2-1_54HTH_2023-11-30_final
2024-01-08 10:52:33	ga_s2bm_ard_3-2-1_53KNU_2024-01-08_final
2024-01-09 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2024-01-09_final
2024-01-12 10:32:09	ga_s2bm_ard_3-2-1_54KVE_2024-01-12_final
2024-01-14 11:11:11	ga_s2bm_ard_3-2-1_52LGK_2024-01-14_final
2024-01-19 10:22:47	ga_s2bm_ard_3-2-1_54KUC_2024-01-19_final
2024-02-07 10:52:32	ga_s2bm_ard_3-2-1_52KHE_2024-02-07_final
2024-02-26 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2024-02-26_final
2024-03-12 10:34:10	ga_s2bm_ard_3-2-1_53JNN_2024-03-12_final
2024-03-22 12:14:02	ga_s2bm_ard_3-2-1_49KFR_2024-03-22_nrt
2024-03-26 10:13:12	ga_s2bm_ard_3-2-1_54KXA_2024-03-26_final
2024-03-31 11:02:25	ga_s2bm_ard_3-2-1_52KHE_2024-03-31_final
2024-05-01 10:36:36	ga_s2bm_ard_3-2-1_53HNC_2024-05-01_final

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

All years