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
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50JKN_2017-07-11_final.stac-item
2017-08-23 12:04:38	ga_s2bm_ard_3-2-1_50JKS_2017-08-23_final.stac-item
2017-12-14 10:32:21	ga_s2bm_ard_3-2-1_53HLD_2017-12-14_final.stac-item
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_50HQH_2017-12-22_final.stac-item
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50JKM_2018-01-10_final.stac-item
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_52JER_2018-01-12_final.stac-item
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51JTH_2018-01-21_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JTM_2018-01-31_final.stac-item
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52KEU_2018-02-01_final.stac-item
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51KWB_2018-02-03_final.stac-item
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51JVK_2018-02-10_final.stac-item
2018-02-14 11:07:05	ga_s2bm_ard_3-2-1_52LEH_2018-02-14_final.stac-item
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_52LBJ_2018-02-17_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KXU_2018-02-20_final.stac-item
2018-05-24 11:37:57	ga_s2bm_ard_3-2-1_51KVT_2018-05-24_final.stac-item
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51JYK_2018-06-07_final.stac-item
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_50HQJ_2018-08-09_final.stac-item
2018-08-19 11:26:54	ga_s2bm_ard_3-2-1_51KVA_2018-08-19_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_50JRS_2018-08-29_final.stac-item
2018-09-20 10:30:58	ga_s2bm_ard_3-2-1_53HND_2018-09-20_final.stac-item
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_49JGL_2018-09-30_final.stac-item
2018-12-20 11:41:54	ga_s2bm_ard_3-2-1_51LVC_2018-12-20_final.stac-item
2019-01-16 11:34:14	ga_s2bm_ard_3-2-1_51KVP_2019-01-16_final.stac-item
2019-01-26 11:33:48	ga_s2bm_ard_3-2-1_51KUR_2019-01-26_final.stac-item
2019-02-05 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2019-02-05_final.stac-item
2019-04-06 11:32:03	ga_s2bm_ard_3-2-1_51LWC_2019-04-06_final.stac-item
2019-06-08 11:45:00	ga_s2bm_ard_3-2-1_50JPS_2019-06-08_final.stac-item
2019-06-24 10:27:13	ga_s2bm_ard_3-2-1_53HPA_2019-06-24_final.stac-item
2019-09-03 11:33:07	ga_s2bm_ard_3-2-1_51KXT_2019-09-03_final.stac-item
2019-09-17 11:16:01	ga_s2bm_ard_3-2-1_51JYF_2019-09-17_final.stac-item
2019-11-09 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2019-11-09_final.stac-item
2019-12-12 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2019-12-12_final.stac-item
2020-01-01 11:32:46	ga_s2bm_ard_3-2-1_51KYU_2020-01-01_final.stac-item
2020-01-05 11:13:28	ga_s2bm_ard_3-2-1_52KDA_2020-01-05_final.stac-item
2020-01-18 11:23:32	ga_s2bm_ard_3-2-1_51KYR_2020-01-18_final.stac-item
2020-04-20 11:34:49	ga_s2bm_ard_3-2-1_51JWL_2020-04-20_final.stac-item
2020-04-20 11:35:20	ga_s2bm_ard_3-2-1_51JUJ_2020-04-20_final.stac-item
2020-05-21 11:02:40	ga_s2bm_ard_3-2-1_52KHD_2020-05-21_final.stac-item
2020-08-07 12:06:13	ga_s2bm_ard_3-2-1_50JKM_2020-08-07_final.stac-item
2020-08-18 11:35:41	ga_s2bm_ard_3-2-1_50JQP_2020-08-18_final.stac-item
2020-09-08 11:05:51	ga_s2bm_ard_3-2-1_52JDM_2020-09-08_final.stac-item
2020-10-06 10:26:54	ga_s2bm_ard_3-2-1_53HPB_2020-10-06_final.stac-item
2020-11-07 11:02:54	ga_s2bm_ard_3-2-1_52KFD_2020-11-07_final.stac-item
2020-12-20 11:11:44	ga_s2bm_ard_3-2-1_52LEH_2020-12-20_final.stac-item
2021-01-03 10:55:38	ga_s2bm_ard_3-2-1_52JFM_2021-01-03_final.stac-item
2021-01-22 11:21:32	ga_s2bm_ard_3-2-1_52LDJ_2021-01-22_final.stac-item
2021-01-26 11:05:59	ga_s2bm_ard_3-2-1_52JEL_2021-01-26_final.stac-item
2021-02-01 11:25:27	ga_s2bm_ard_3-2-1_51JWJ_2021-02-01_final.stac-item
2021-02-07 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2021-02-07_final.stac-item
2021-02-10 11:56:06	ga_s2bm_ard_3-2-1_50JMM_2021-02-10_final.stac-item
2021-02-11 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2021-02-11_final.stac-item
2021-02-20 11:53:44	ga_s2bm_ard_3-2-1_50KQA_2021-02-20_final.stac-item
2021-03-06 11:33:26	ga_s2bm_ard_3-2-1_51KWS_2021-03-06_final.stac-item
2021-03-09 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2021-03-09_final.stac-item
2021-04-14 10:26:46	ga_s2bm_ard_3-2-1_53HPB_2021-04-14_final.stac-item
2021-06-20 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2021-06-20_final.stac-item
2021-06-22 10:54:16	ga_s2bm_ard_3-2-1_52JGT_2021-06-22_final.stac-item
2021-08-10 11:25:28	ga_s2bm_ard_3-2-1_51JWJ_2021-08-10_final.stac-item
2021-11-01 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2021-11-01_final.stac-item
2021-11-18 11:26:38	ga_s2bm_ard_3-2-1_51HWD_2021-11-18_final.stac-item
2021-12-03 10:36:54	ga_s2bm_ard_3-2-1_53HPA_2021-12-03_final.stac-item
2021-12-25 11:11:36	ga_s2bm_ard_3-2-1_52LDJ_2021-12-25_final.stac-item
2021-12-25 11:12:27	ga_s2bm_ard_3-2-1_52KEE_2021-12-25_final.stac-item
2022-01-14 11:12:28	ga_s2bm_ard_3-2-1_52KEE_2022-01-14_final.stac-item
2022-01-21 11:03:15	ga_s2bm_ard_3-2-1_52KEB_2022-01-21_final.stac-item
2022-02-12 11:45:51	ga_s2bm_ard_3-2-1_51JTG_2022-02-12_final.stac-item
2022-02-18 12:04:18	ga_s2bm_ard_3-2-1_50KLU_2022-02-18_final.stac-item
2022-03-01 11:31:39	ga_s2bm_ard_3-2-1_51LXD_2022-03-01_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 11:04:07	ga_s2bm_ard_3-2-1_52JET_2022-05-01_final.stac-item
2022-05-13 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2022-05-13_final.stac-item
2022-05-30 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2022-05-30_final.stac-item
2022-06-16 11:24:18	ga_s2bm_ard_3-2-1_51KWP_2022-06-16_final.stac-item
2022-06-16 11:24:36	ga_s2bm_ard_3-2-1_52JBS_2022-06-16_final.stac-item
2022-08-05 11:23:32	ga_s2bm_ard_3-2-1_51KXS_2022-08-05_final.stac-item
2022-08-05 11:26:45	ga_s2bm_ard_3-2-1_51HWD_2022-08-05_final.stac-item
2022-08-17 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2022-08-17_final.stac-item
2022-08-27 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2022-08-27_final.stac-item
2022-09-07 11:36:48	ga_s2bm_ard_3-2-1_51HTD_2022-09-07_final.stac-item
2022-11-09 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2022-11-09_final.stac-item
2023-01-15 11:33:30	ga_s2bm_ard_3-2-1_51KUS_2023-01-15_final.stac-item
2023-02-01 11:21:07	ga_s2bm_ard_3-2-1_52LBL_2023-02-01_nrt.stac-item
2023-02-11 11:21:08	ga_s2bm_ard_3-2-1_52LBL_2023-02-11_nrt.stac-item
2023-02-28 11:12:21	ga_s2bm_ard_3-2-1_52KDF_2023-02-28_final
2023-06-07 11:41:37	ga_s2bm_ard_3-2-1_51LUE_2023-06-07_final
2023-06-13 10:26:59	ga_s2bm_ard_3-2-1_53HNB_2023-06-13_final
2023-06-28 11:13:27	ga_s2bm_ard_3-2-1_52KCB_2023-06-28_final
2023-07-14 11:35:38	ga_s2bm_ard_3-2-1_51JTJ_2023-07-14_final
2023-07-15 11:06:38	ga_s2bm_ard_3-2-1_52HBJ_2023-07-15_nrt
2023-07-24 11:33:15	ga_s2bm_ard_3-2-1_51KXT_2023-07-24_final
2023-08-14 11:04:41	ga_s2bm_ard_3-2-1_52JDS_2023-08-14_final
2023-09-21 12:06:13	ga_s2bm_ard_3-2-1_50JKM_2023-09-21_final
2023-10-14 10:36:52	ga_s2bm_ard_3-2-1_53HNB_2023-10-14_final
2023-11-01 11:33:30	ga_s2bm_ard_3-2-1_51KWS_2023-11-01_final
2023-11-24 11:46:18	ga_s2bm_ard_3-2-1_50JNL_2023-11-24_final
2023-12-08 11:25:57	ga_s2bm_ard_3-2-1_51JVG_2023-12-08_final
2023-12-09 10:55:31	ga_s2bm_ard_3-2-1_52JEN_2023-12-09_final
2024-01-17 11:21:10	ga_s2bm_ard_3-2-1_51LZF_2024-01-17_nrt
2024-02-16 11:21:10	ga_s2bm_ard_3-2-1_52LBL_2024-02-16_nrt
2024-03-10 11:31:38	ga_s2bm_ard_3-2-1_51LXD_2024-03-10_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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