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
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KUT_2017-12-15_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KWT_2018-01-11_final.stac-item
2018-01-22 10:57:08	ga_s2bm_ard_3-2-1_52LGK_2018-01-22_final.stac-item
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52JCM_2018-02-01_final.stac-item
2018-02-13 11:37:45	ga_s2bm_ard_3-2-1_51KVT_2018-02-13_final.stac-item
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_51JYH_2018-03-26_final.stac-item
2018-03-29 11:17:27	ga_s2bm_ard_3-2-1_51KZV_2018-03-29_final.stac-item
2018-04-25 11:07:11	ga_s2bm_ard_3-2-1_51JYM_2018-04-25_final.stac-item
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KWU_2018-07-20_final.stac-item
2018-08-02 11:38:21	ga_s2bm_ard_3-2-1_51KVT_2018-08-02_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HLH_2018-08-02_final.stac-item
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51KVT_2018-08-09_final.stac-item
2018-08-26 11:17:49	ga_s2bm_ard_3-2-1_51KZS_2018-08-26_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51JVL_2018-08-29_final.stac-item
2018-11-10 11:46:20	ga_s2bm_ard_3-2-1_50JNL_2018-11-10_final.stac-item
2018-12-17 11:36:28	ga_s2bm_ard_3-2-1_50HQK_2018-12-17_final.stac-item
2019-01-16 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2019-01-16_final.stac-item
2019-02-25 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2019-02-25_final.stac-item
2019-02-26 11:01:12	ga_s2bm_ard_3-2-1_52LHK_2019-02-26_final.stac-item
2019-03-11 11:12:08	ga_s2bm_ard_3-2-1_52KCG_2019-03-11_final.stac-item
2019-03-23 11:54:01	ga_s2bm_ard_3-2-1_50KQV_2019-03-23_final.stac-item
2019-04-25 10:26:47	ga_s2bm_ard_3-2-1_53HNC_2019-04-25_final.stac-item
2019-04-29 11:46:16	ga_s2bm_ard_3-2-1_50JNM_2019-04-29_final.stac-item
2019-05-10 11:13:22	ga_s2bm_ard_3-2-1_52KBC_2019-05-10_final.stac-item
2019-06-19 11:13:19	ga_s2bm_ard_3-2-1_52KCC_2019-06-19_final.stac-item
2019-07-05 11:33:18	ga_s2bm_ard_3-2-1_51KXT_2019-07-05_final.stac-item
2019-07-24 10:26:49	ga_s2bm_ard_3-2-1_53HNC_2019-07-24_final.stac-item
2019-09-07 11:10:27	ga_s2bm_ard_3-2-1_52LHN_2019-09-07_final.stac-item
2019-09-20 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2019-09-20_final.stac-item
2019-09-24 11:02:33	ga_s2bm_ard_3-2-1_52KFE_2019-09-24_final.stac-item
2019-10-03 11:33:03	ga_s2bm_ard_3-2-1_51KXT_2019-10-03_final.stac-item
2019-12-02 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2019-12-02_final.stac-item
2020-01-18 11:23:44	ga_s2bm_ard_3-2-1_52KBV_2020-01-18_final.stac-item
2020-01-31 11:32:51	ga_s2bm_ard_3-2-1_51KWU_2020-01-31_final.stac-item
2020-02-07 11:23:56	ga_s2bm_ard_3-2-1_51KWQ_2020-02-07_final.stac-item
2020-03-11 11:32:44	ga_s2bm_ard_3-2-1_51KVV_2020-03-11_final.stac-item
2020-03-11 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2020-03-11_final.stac-item
2020-04-11 11:01:24	ga_s2bm_ard_3-2-1_52LHJ_2020-04-11_final.stac-item
2020-04-14 11:15:38	ga_s2bm_ard_3-2-1_51JXH_2020-04-14_final.stac-item
2020-04-27 11:23:31	ga_s2bm_ard_3-2-1_51KZR_2020-04-27_final.stac-item
2020-05-10 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2020-05-10_final.stac-item
2020-06-29 11:33:18	ga_s2bm_ard_3-2-1_51KVT_2020-06-29_final.stac-item
2020-07-26 11:23:05	ga_s2bm_ard_3-2-1_52KCC_2020-07-26_final.stac-item
2020-09-17 11:34:56	ga_s2bm_ard_3-2-1_51JWL_2020-09-17_final.stac-item
2020-09-17 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2020-09-17_final.stac-item
2020-10-17 11:33:45	ga_s2bm_ard_3-2-1_51KWR_2020-10-17_final.stac-item
2020-11-29 11:42:09	ga_s2bm_ard_3-2-1_51KWB_2020-11-29_final.stac-item
2020-12-05 10:27:04	ga_s2bm_ard_3-2-1_53HPA_2020-12-05_final.stac-item
2020-12-09 11:41:53	ga_s2bm_ard_3-2-1_51LWC_2020-12-09_final.stac-item
2021-01-15 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2021-01-15_final.stac-item
2021-01-16 11:03:56	ga_s2bm_ard_3-2-1_52KGU_2021-01-16_final.stac-item
2021-01-29 11:16:02	ga_s2bm_ard_3-2-1_52JCL_2021-01-29_final.stac-item
2021-02-08 11:12:53	ga_s2bm_ard_3-2-1_52KFC_2021-02-08_final.stac-item
2021-02-11 11:23:20	ga_s2bm_ard_3-2-1_51KZS_2021-02-11_final.stac-item
2021-04-05 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2021-04-05_final.stac-item
2021-05-12 11:23:34	ga_s2bm_ard_3-2-1_51KZR_2021-05-12_final.stac-item
2021-06-22 10:55:03	ga_s2bm_ard_3-2-1_52JFQ_2021-06-22_final.stac-item
2021-07-04 11:33:58	ga_s2bm_ard_3-2-1_51KWQ_2021-07-04_final.stac-item
2021-07-30 11:56:06	ga_s2bm_ard_3-2-1_50JNM_2021-07-30_final.stac-item
2021-09-20 10:53:29	ga_s2bm_ard_3-2-1_52KGA_2021-09-20_final.stac-item
2021-09-22 11:33:10	ga_s2bm_ard_3-2-1_51KWT_2021-09-22_final.stac-item
2021-09-26 11:15:31	ga_s2bm_ard_3-2-1_52JCN_2021-09-26_final.stac-item
2021-10-05 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2021-10-05_final.stac-item
2021-10-06 11:15:22	ga_s2bm_ard_3-2-1_52JBP_2021-10-06_final.stac-item
2021-10-08 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2021-10-08_final.stac-item
2021-10-25 11:41:54	ga_s2bm_ard_3-2-1_51LWC_2021-10-25_final.stac-item
2021-11-21 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2021-11-21_final.stac-item
2021-11-28 11:23:57	ga_s2bm_ard_3-2-1_51KWQ_2021-11-28_final.stac-item
2021-12-25 11:13:21	ga_s2bm_ard_3-2-1_52KBB_2021-12-25_final.stac-item
2022-02-22 11:43:06	ga_s2bm_ard_3-2-1_51KVT_2022-02-22_final.stac-item
2022-03-14 11:44:00	ga_s2bm_ard_3-2-1_51KTQ_2022-03-14_final.stac-item
2022-05-17 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2022-05-17_final.stac-item
2022-05-23 11:45:14	ga_s2bm_ard_3-2-1_51JTK_2022-05-23_final.stac-item
2022-06-29 11:33:50	ga_s2bm_ard_3-2-1_51KVR_2022-06-29_final.stac-item
2022-07-19 11:33:14	ga_s2bm_ard_3-2-1_51KXT_2022-07-19_final.stac-item
2022-07-29 11:34:54	ga_s2bm_ard_3-2-1_51JTM_2022-07-29_final.stac-item
2022-09-03 11:53:33	ga_s2bm_ard_3-2-1_50KQB_2022-09-03_final.stac-item
2022-09-24 11:22:57	ga_s2bm_ard_3-2-1_51KYU_2022-09-24_final.stac-item
2022-11-06 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2022-11-06_final.stac-item
2022-12-30 11:11:29	ga_s2bm_ard_3-2-1_52LFJ_2022-12-30_final.stac-item
2022-12-30 11:13:50	ga_s2bm_ard_3-2-1_52KCV_2022-12-30_final.stac-item
2023-01-06 11:04:41	ga_s2bm_ard_3-2-1_52JFR_2023-01-06_final.stac-item
2023-02-25 11:02:38	ga_s2bm_ard_3-2-1_52KFE_2023-02-25_final
2023-03-07 11:01:17	ga_s2bm_ard_3-2-1_52LHK_2023-03-07_final
2023-04-25 11:36:30	ga_s2bm_ard_3-2-1_51HUE_2023-04-25_final
2023-05-15 11:34:03	ga_s2bm_ard_3-2-1_51KVQ_2023-05-15_final
2023-06-07 11:42:18	ga_s2bm_ard_3-2-1_51KVB_2023-06-07_final
2023-07-01 11:21:58	ga_s2bm_ard_3-2-1_52LBH_2023-07-01_final
2023-07-01 11:27:03	ga_s2bm_ard_3-2-1_51HVC_2023-07-01_final
2023-07-14 11:33:57	ga_s2bm_ard_3-2-1_51KXQ_2023-07-14_final
2023-11-07 11:55:49	ga_s2bm_ard_3-2-1_50JKP_2023-11-07_final
2023-11-29 10:53:29	ga_s2bm_ard_3-2-1_52KGA_2023-11-29_final
2023-11-29 10:53:43	ga_s2bm_ard_3-2-1_52KGV_2023-11-29_final
2023-12-07 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2023-12-07_final
2023-12-27 11:57:16	ga_s2bm_ard_3-2-1_49HGC_2023-12-27_nrt
2024-03-01 11:01:12	ga_s2bm_ard_3-2-1_52LHK_2024-03-01_final
2024-03-08 10:54:53	ga_s2bm_ard_3-2-1_52JGQ_2024-03-08_final
2024-03-18 10:54:21	ga_s2bm_ard_3-2-1_52JFT_2024-03-18_final
2024-03-24 11:15:48	ga_s2bm_ard_3-2-1_52JCM_2024-03-24_final
2024-04-23 11:15:36	ga_s2bm_ard_3-2-1_52JBN_2024-04-23_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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