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
2017-10-05 12:13:06	ga_s2bm_ard_3-2-1_50KKB_2017-10-05_final.stac-item
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JKP_2017-11-28_final.stac-item
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51KXU_2017-12-19_final.stac-item
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51KUV_2018-02-03_final.stac-item
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_52JBP_2018-04-05_final.stac-item
2018-04-18 11:16:57	ga_s2bm_ard_3-2-1_51KXS_2018-04-18_final.stac-item
2018-05-02 11:00:12	ga_s2bm_ard_3-2-1_52KEA_2018-05-02_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KVR_2018-05-11_final.stac-item
2018-05-22 11:04:22	ga_s2bm_ard_3-2-1_52JER_2018-05-22_final.stac-item
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50JKM_2018-06-29_final.stac-item
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52KFV_2018-08-10_final.stac-item
2018-08-23 11:12:48	ga_s2bm_ard_3-2-1_51KZR_2018-08-23_final.stac-item
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50KKA_2018-10-17_final.stac-item
2018-10-19 10:59:05	ga_s2bm_ard_3-2-1_52KFB_2018-10-19_final.stac-item
2018-11-14 11:26:15	ga_s2bm_ard_3-2-1_51JUF_2018-11-14_final.stac-item
2018-11-27 11:32:43	ga_s2bm_ard_3-2-1_51KVV_2018-11-27_final.stac-item
2018-12-02 10:46:19	ga_s2bm_ard_3-2-1_53HLD_2018-12-02_final.stac-item
2018-12-04 11:22:55	ga_s2bm_ard_3-2-1_51KXU_2018-12-04_final.stac-item
2018-12-17 11:32:26	ga_s2bm_ard_3-2-1_51KXA_2018-12-17_final.stac-item
2019-02-04 10:27:05	ga_s2bm_ard_3-2-1_53HPA_2019-02-04_final.stac-item
2019-03-06 10:26:51	ga_s2bm_ard_3-2-1_53HNB_2019-03-06_final.stac-item
2019-03-17 11:34:35	ga_s2bm_ard_3-2-1_50JRT_2019-03-17_final.stac-item
2019-04-27 11:03:56	ga_s2bm_ard_3-2-1_52KEV_2019-04-27_final.stac-item
2019-05-12 11:53:29	ga_s2bm_ard_3-2-1_50KPC_2019-05-12_final.stac-item
2019-05-29 11:43:27	ga_s2bm_ard_3-2-1_50KRC_2019-05-29_final.stac-item
2019-06-17 12:15:04	ga_s2bm_ard_3-2-1_49JGM_2019-06-17_final.stac-item
2019-07-15 11:32:49	ga_s2bm_ard_3-2-1_51KXV_2019-07-15_final.stac-item
2019-08-26 12:15:24	ga_s2bm_ard_3-2-1_49JGK_2019-08-26_final.stac-item
2019-12-13 11:04:01	ga_s2bm_ard_3-2-1_52KDU_2019-12-13_final.stac-item
2019-12-16 11:14:03	ga_s2bm_ard_3-2-1_51KZP_2019-12-16_final.stac-item
2020-01-07 11:55:51	ga_s2bm_ard_3-2-1_50JLN_2020-01-07_final.stac-item
2020-01-25 11:14:02	ga_s2bm_ard_3-2-1_52KBU_2020-01-25_final.stac-item
2020-05-24 11:13:31	ga_s2bm_ard_3-2-1_52KEA_2020-05-24_final.stac-item
2020-06-06 11:23:05	ga_s2bm_ard_3-2-1_52KCC_2020-06-06_final.stac-item
2020-06-22 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2020-06-22_final.stac-item
2020-06-26 11:24:25	ga_s2bm_ard_3-2-1_51JYN_2020-06-26_final.stac-item
2020-07-13 11:11:03	ga_s2bm_ard_3-2-1_52LFL_2020-07-13_final.stac-item
2020-08-15 11:23:46	ga_s2bm_ard_3-2-1_51KXR_2020-08-15_final.stac-item
2020-08-21 11:45:48	ga_s2bm_ard_3-2-1_50JNP_2020-08-21_final.stac-item
2020-10-14 11:23:17	ga_s2bm_ard_3-2-1_51KZT_2020-10-14_final.stac-item
2020-10-17 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2020-10-17_final.stac-item
2020-10-20 11:41:22	ga_s2bm_ard_3-2-1_51LUF_2020-10-20_final.stac-item
2020-11-22 11:53:31	ga_s2bm_ard_3-2-1_50KMC_2020-11-22_final.stac-item
2020-11-27 11:02:40	ga_s2bm_ard_3-2-1_52KHD_2020-11-27_final.stac-item
2020-12-18 10:36:06	ga_s2bm_ard_3-2-1_53HME_2020-12-18_final.stac-item
2020-12-30 11:13:38	ga_s2bm_ard_3-2-1_51KZR_2020-12-30_final.stac-item
2021-01-29 11:14:52	ga_s2bm_ard_3-2-1_52JBR_2021-01-29_final.stac-item
2021-02-08 11:10:42	ga_s2bm_ard_3-2-1_52LGM_2021-02-08_final.stac-item
2021-02-21 11:23:47	ga_s2bm_ard_3-2-1_52KBV_2021-02-21_final.stac-item
2021-02-28 11:14:22	ga_s2bm_ard_3-2-1_51JZN_2021-02-28_final.stac-item
2021-03-03 11:23:12	ga_s2bm_ard_3-2-1_51KXT_2021-03-03_final.stac-item
2021-03-27 11:00:47	ga_s2bm_ard_3-2-1_52LGM_2021-03-27_final.stac-item
2021-05-08 11:42:33	ga_s2bm_ard_3-2-1_51KVA_2021-05-08_final.stac-item
2021-06-03 12:04:36	ga_s2bm_ard_3-2-1_50JMT_2021-06-03_final.stac-item
2021-06-06 10:36:51	ga_s2bm_ard_3-2-1_53HNB_2021-06-06_final.stac-item
2021-06-10 11:55:50	ga_s2bm_ard_3-2-1_50JNN_2021-06-10_final.stac-item
2021-07-14 11:33:03	ga_s2bm_ard_3-2-1_51KVU_2021-07-14_final.stac-item
2021-08-02 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2021-08-02_final.stac-item
2021-11-16 10:46:04	ga_s2bm_ard_3-2-1_53HME_2021-11-16_final.stac-item
2021-12-05 11:13:10	ga_s2bm_ard_3-2-1_52KEB_2021-12-05_final.stac-item
2021-12-08 11:21:33	ga_s2bm_ard_3-2-1_52LBJ_2021-12-08_final.stac-item
2021-12-17 11:56:12	ga_s2bm_ard_3-2-1_50JNL_2021-12-17_final.stac-item
2022-02-01 10:36:15	ga_s2bm_ard_3-2-1_53HND_2022-02-01_final.stac-item
2022-02-25 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2022-02-25_final.stac-item
2022-03-08 11:23:47	ga_s2bm_ard_3-2-1_52KBV_2022-03-08_final.stac-item
2022-04-10 11:32:43	ga_s2bm_ard_3-2-1_51KVV_2022-04-10_final.stac-item
2022-04-10 11:36:43	ga_s2bm_ard_3-2-1_51HTD_2022-04-10_final.stac-item
2022-05-01 11:04:51	ga_s2bm_ard_3-2-1_52JFQ_2022-05-01_final.stac-item
2022-06-09 11:32:52	ga_s2bm_ard_3-2-1_51KYU_2022-06-09_final.stac-item
2022-07-12 11:43:23	ga_s2bm_ard_3-2-1_50KRC_2022-07-12_final.stac-item
2022-08-29 11:04:22	ga_s2bm_ard_3-2-1_52JDT_2022-08-29_final.stac-item
2022-09-04 11:23:15	ga_s2bm_ard_3-2-1_51KXT_2022-09-04_final.stac-item
2022-11-10 11:16:19	ga_s2bm_ard_3-2-1_52HBK_2022-11-10_final.stac-item
2022-11-26 11:34:13	ga_s2bm_ard_3-2-1_51KVP_2022-11-26_final.stac-item
2022-11-27 11:03:53	ga_s2bm_ard_3-2-1_52KDV_2022-11-27_final.stac-item
2022-12-17 11:00:29	ga_s2bm_ard_3-2-1_52LHN_2022-12-17_final.stac-item
2023-02-01 11:25:36	ga_s2bm_ard_3-2-1_51JXH_2023-02-01_final.stac-item
2023-02-24 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2023-02-24_final
2023-03-07 11:00:34	ga_s2bm_ard_3-2-1_52LHN_2023-03-07_final
2023-03-27 11:05:40	ga_s2bm_ard_3-2-1_52JCN_2023-03-27_final
2023-05-01 11:53:55	ga_s2bm_ard_3-2-1_50KQA_2023-05-01_final
2023-05-26 11:05:43	ga_s2bm_ard_3-2-1_52JFM_2023-05-26_final
2023-06-04 11:36:00	ga_s2bm_ard_3-2-1_51JVG_2023-06-04_final
2023-06-17 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2023-06-17_final
2023-06-20 11:54:52	ga_s2bm_ard_3-2-1_50JPS_2023-06-20_final
2023-06-24 11:36:56	ga_s2bm_ard_3-2-1_50HPJ_2023-06-24_final
2023-06-27 11:42:00	ga_s2bm_ard_3-2-1_51LWC_2023-06-27_final
2023-08-30 11:23:07	ga_s2bm_ard_3-2-1_52KCC_2023-08-30_final
2023-09-05 11:42:03	ga_s2bm_ard_3-2-1_51LVC_2023-09-05_final
2023-09-06 11:16:27	ga_s2bm_ard_3-2-1_51HYE_2023-09-06_final
2023-09-16 11:10:46	ga_s2bm_ard_3-2-1_52LGM_2023-09-16_final
2023-10-12 11:32:16	ga_s2bm_ard_3-2-1_51KWB_2023-10-12_final
2023-10-25 11:41:34	ga_s2bm_ard_3-2-1_51LUE_2023-10-25_final
2023-11-08 11:23:37	ga_s2bm_ard_3-2-1_52KBA_2023-11-08_final
2023-11-22 11:03:59	ga_s2bm_ard_3-2-1_52KEU_2023-11-22_final
2023-12-01 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2023-12-01_final
2024-01-29 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2024-01-29_final
2024-02-05 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2024-02-05_final
2024-03-02 10:36:22	ga_s2bm_ard_3-2-1_53HMD_2024-03-02_final
2024-03-24 11:10:33	ga_s2bm_ard_3-2-1_52LFN_2024-03-24_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

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