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
2017-10-04 11:02:43	ga_s2bm_ard_3-2-1_52JDL_2017-10-04_final.stac-item
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51JWK_2017-12-12_final.stac-item
2017-12-13 10:57:04	ga_s2bm_ard_3-2-1_52JCM_2017-12-13_final.stac-item
2017-12-27 10:37:16	ga_s2bm_ard_3-2-1_53KPR_2017-12-27_final.stac-item
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_52KCA_2017-12-29_final.stac-item
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KYT_2018-01-21_final.stac-item
2018-01-22 10:57:08	ga_s2bm_ard_3-2-1_52LGL_2018-01-22_final.stac-item
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52JDQ_2018-02-01_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KXT_2018-02-20_final.stac-item
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_52JBN_2018-05-25_final.stac-item
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51JXF_2018-10-05_final.stac-item
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50HNK_2018-10-14_final.stac-item
2018-11-01 11:08:37	ga_s2bm_ard_3-2-1_52KEC_2018-11-01_final.stac-item
2018-11-10 11:44:25	ga_s2bm_ard_3-2-1_51JUN_2018-11-10_final.stac-item
2019-01-06 11:32:20	ga_s2bm_ard_3-2-1_51KYA_2019-01-06_final.stac-item
2019-01-20 11:10:36	ga_s2bm_ard_3-2-1_52LGM_2019-01-20_final.stac-item
2019-02-22 11:22:18	ga_s2bm_ard_3-2-1_52KCF_2019-02-22_final.stac-item
2019-02-25 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2019-02-25_final.stac-item
2019-04-15 12:05:24	ga_s2bm_ard_3-2-1_50JKR_2019-04-15_final.stac-item
2019-04-18 10:34:05	ga_s2bm_ard_3-2-1_53JRN_2019-04-18_final.stac-item
2019-05-10 11:15:59	ga_s2bm_ard_3-2-1_52JBM_2019-05-10_final.stac-item
2019-07-15 11:33:21	ga_s2bm_ard_3-2-1_51KWT_2019-07-15_final.stac-item
2019-10-20 11:25:00	ga_s2bm_ard_3-2-1_51JWL_2019-10-20_final.stac-item
2019-10-23 11:31:50	ga_s2bm_ard_3-2-1_51LZC_2019-10-23_final.stac-item
2019-11-04 10:35:57	ga_s2bm_ard_3-2-1_53HQE_2019-11-04_final.stac-item
2019-11-24 10:34:10	ga_s2bm_ard_3-2-1_53JNN_2019-11-24_final.stac-item
2020-01-05 11:13:49	ga_s2bm_ard_3-2-1_51KZQ_2020-01-05_final.stac-item
2020-01-23 10:33:53	ga_s2bm_ard_3-2-1_53JRN_2020-01-23_final.stac-item
2020-04-08 10:54:12	ga_s2bm_ard_3-2-1_52JGT_2020-04-08_final.stac-item
2020-05-02 10:34:29	ga_s2bm_ard_3-2-1_53JQL_2020-05-02_final.stac-item
2020-07-03 11:13:42	ga_s2bm_ard_3-2-1_51KZR_2020-07-03_final.stac-item
2020-08-13 10:43:51	ga_s2bm_ard_3-2-1_53KPP_2020-08-13_final.stac-item
2020-09-15 10:52:36	ga_s2bm_ard_3-2-1_53KNU_2020-09-15_final.stac-item
2020-10-06 10:27:04	ga_s2bm_ard_3-2-1_53HQA_2020-10-06_final.stac-item
2020-10-17 11:33:49	ga_s2bm_ard_3-2-1_51KVR_2020-10-17_final.stac-item
2020-11-30 11:13:36	ga_s2bm_ard_3-2-1_52KCA_2020-11-30_final.stac-item
2020-12-09 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2020-12-09_final.stac-item
2020-12-20 11:11:23	ga_s2bm_ard_3-2-1_52LGJ_2020-12-20_final.stac-item
2020-12-20 11:15:29	ga_s2bm_ard_3-2-1_52JCN_2020-12-20_final.stac-item
2021-01-17 10:34:32	ga_s2bm_ard_3-2-1_53JQL_2021-01-17_final.stac-item
2021-01-29 11:11:16	ga_s2bm_ard_3-2-1_52LFK_2021-01-29_final.stac-item
2021-02-06 10:34:13	ga_s2bm_ard_3-2-1_53JRM_2021-02-06_final.stac-item
2021-03-13 11:26:10	ga_s2bm_ard_3-2-1_51JWF_2021-03-13_final.stac-item
2021-03-21 10:44:09	ga_s2bm_ard_3-2-1_53JMN_2021-03-21_final.stac-item
2021-04-08 11:46:06	ga_s2bm_ard_3-2-1_50JNM_2021-04-08_final.stac-item
2021-05-25 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2021-05-25_final.stac-item
2021-06-16 10:34:01	ga_s2bm_ard_3-2-1_53JRN_2021-06-16_final.stac-item
2021-07-17 11:46:02	ga_s2bm_ard_3-2-1_50JPM_2021-07-17_final.stac-item
2021-09-13 11:05:34	ga_s2bm_ard_3-2-1_52JCN_2021-09-13_final.stac-item
2021-10-10 10:54:56	ga_s2bm_ard_3-2-1_53JKK_2021-10-10_final.stac-item
2021-10-14 10:36:11	ga_s2bm_ard_3-2-1_53HME_2021-10-14_final.stac-item
2021-10-16 11:15:05	ga_s2bm_ard_3-2-1_52JCQ_2021-10-16_final.stac-item
2021-10-16 11:15:39	ga_s2bm_ard_3-2-1_51JYH_2021-10-16_final.stac-item
2021-11-21 11:35:24	ga_s2bm_ard_3-2-1_51JVJ_2021-11-21_final.stac-item
2021-11-23 10:33:49	ga_s2bm_ard_3-2-1_53KPP_2021-11-23_final.stac-item
2021-11-26 10:44:16	ga_s2bm_ard_3-2-1_53JNM_2021-11-26_final.stac-item
2022-01-31 11:05:25	ga_s2bm_ard_3-2-1_52JEN_2022-01-31_final.stac-item
2022-02-03 11:10:52	ga_s2bm_ard_3-2-1_52LGL_2022-02-03_final.stac-item
2022-02-12 11:42:40	ga_s2bm_ard_3-2-1_51KUV_2022-02-12_final.stac-item
2022-04-19 12:04:09	ga_s2bm_ard_3-2-1_50KKV_2022-04-19_final.stac-item
2022-05-29 12:04:44	ga_s2bm_ard_3-2-1_50JLT_2022-05-29_final.stac-item
2022-06-19 11:36:32	ga_s2bm_ard_3-2-1_51HUE_2022-06-19_final.stac-item
2022-06-27 10:52:32	ga_s2bm_ard_3-2-1_53KLV_2022-06-27_final.stac-item
2022-07-01 10:33:43	ga_s2bm_ard_3-2-1_53KPQ_2022-07-01_final.stac-item
2022-07-30 11:05:53	ga_s2bm_ard_3-2-1_52JDM_2022-07-30_final.stac-item
2022-09-03 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2022-09-03_final.stac-item
2022-10-02 10:45:03	ga_s2bm_ard_3-2-1_53JNJ_2022-10-02_final.stac-item
2022-10-22 10:44:20	ga_s2bm_ard_3-2-1_53JNM_2022-10-22_final.stac-item
2022-10-26 10:26:40	ga_s2bm_ard_3-2-1_53HNC_2022-10-26_final.stac-item
2022-10-30 11:45:28	ga_s2bm_ard_3-2-1_51JTJ_2022-10-30_final.stac-item
2022-12-08 10:33:50	ga_s2bm_ard_3-2-1_53JQN_2022-12-08_final.stac-item
2023-01-09 11:13:59	ga_s2bm_ard_3-2-1_52KDU_2023-01-09_final.stac-item
2023-01-25 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2023-01-25_final.stac-item
2023-01-30 10:43:43	ga_s2bm_ard_3-2-1_53KLQ_2023-01-30_final.stac-item
2023-02-20 10:16:51	ga_s2bm_ard_3-2-1_53HQB_2023-02-20_final
2023-02-21 11:23:35	ga_s2bm_ard_3-2-1_51KZR_2023-02-21_final
2023-02-25 11:03:42	ga_s2bm_ard_3-2-1_52KGV_2023-02-25_final
2023-02-28 11:13:08	ga_s2bm_ard_3-2-1_52KCC_2023-02-28_final
2023-03-06 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2023-03-06_final
2023-03-28 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2023-03-28_final
2023-05-27 10:34:08	ga_s2bm_ard_3-2-1_53JQN_2023-05-27_final
2023-06-26 10:35:13	ga_s2bm_ard_3-2-1_53JNJ_2023-06-26_final
2023-07-21 11:21:16	ga_s2bm_ard_3-2-1_51LZF_2023-07-21_nrt
2023-09-07 10:46:28	ga_s2bm_ard_3-2-1_53HLD_2023-09-07_final
2023-09-09 11:23:54	ga_s2bm_ard_3-2-1_51KZQ_2023-09-09_final
2023-09-15 11:42:12	ga_s2bm_ard_3-2-1_51KWB_2023-09-15_final
2023-09-21 12:06:13	ga_s2bm_ard_3-2-1_50JKM_2023-09-21_final
2023-11-04 11:46:46	ga_s2bm_ard_3-2-1_50HQJ_2023-11-04_final
2023-11-28 11:22:19	ga_s2bm_ard_3-2-1_52KBF_2023-11-28_final
2024-01-21 11:02:03	ga_s2bm_ard_3-2-1_52KFG_2024-01-21_final
2024-01-21 11:03:04	ga_s2bm_ard_3-2-1_52KEC_2024-01-21_final
2024-01-25 10:44:15	ga_s2bm_ard_3-2-1_53JPM_2024-01-25_final
2024-01-29 10:24:38	ga_s2bm_ard_3-2-1_53JQL_2024-01-29_final
2024-02-29 11:34:04	ga_s2bm_ard_3-2-1_51KXP_2024-02-29_final
2024-03-01 11:03:20	ga_s2bm_ard_3-2-1_52KHA_2024-03-01_final
2024-03-02 10:35:46	ga_s2bm_ard_3-2-1_53JPF_2024-03-02_final
2024-03-03 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2024-03-03_final
2024-03-13 11:43:26	ga_s2bm_ard_3-2-1_51KUS_2024-03-13_final
2024-03-20 11:31:54	ga_s2bm_ard_3-2-1_51LYC_2024-03-20_final
2024-04-13 11:16:35	ga_s2bm_ard_3-2-1_52HBJ_2024-04-13_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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