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
2017-10-07 11:11:46	ga_s2bm_ard_3-2-1_52JDT_2017-10-07_final.stac-item
2017-11-13 11:02:45	ga_s2bm_ard_3-2-1_52JEM_2017-11-13_final.stac-item
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51KYT_2017-12-19_final.stac-item
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KVV_2017-12-22_final.stac-item
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JYN_2017-12-29_final.stac-item
2018-01-08 11:19:36	ga_s2bm_ard_3-2-1_51JXJ_2018-01-08_final.stac-item
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51KUU_2018-01-14_final.stac-item
2018-01-18 11:16:52	ga_s2bm_ard_3-2-1_51HUE_2018-01-18_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KXS_2018-02-20_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51JTL_2018-03-05_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50HNK_2018-03-15_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49KHR_2018-04-10_final.stac-item
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_52KBB_2018-06-07_final.stac-item
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51HWE_2018-10-05_final.stac-item
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51JWH_2018-10-05_final.stac-item
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51HUD_2018-10-08_final.stac-item
2018-10-25 11:18:26	ga_s2bm_ard_3-2-1_51KXP_2018-10-25_final.stac-item
2018-11-01 11:14:12	ga_s2bm_ard_3-2-1_51HXD_2018-11-01_final.stac-item
2018-12-17 11:36:11	ga_s2bm_ard_3-2-1_51JTF_2018-12-17_final.stac-item
2019-04-02 11:55:23	ga_s2bm_ard_3-2-1_50JNQ_2019-04-02_final.stac-item
2019-04-02 11:56:16	ga_s2bm_ard_3-2-1_50JKM_2019-04-02_final.stac-item
2019-04-03 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2019-04-03_final.stac-item
2019-05-24 10:55:54	ga_s2bm_ard_3-2-1_52JFM_2019-05-24_final.stac-item
2019-06-05 11:31:56	ga_s2bm_ard_3-2-1_51LZC_2019-06-05_final.stac-item
2019-07-04 12:05:22	ga_s2bm_ard_3-2-1_49JGL_2019-07-04_final.stac-item
2019-07-25 11:37:00	ga_s2bm_ard_3-2-1_50HPJ_2019-07-25_final.stac-item
2019-08-14 11:37:13	ga_s2bm_ard_3-2-1_50HPH_2019-08-14_final.stac-item
2019-08-25 11:06:03	ga_s2bm_ard_3-2-1_52JBM_2019-08-25_final.stac-item
2019-12-09 11:22:55	ga_s2bm_ard_3-2-1_51KXU_2019-12-09_final.stac-item
2020-01-05 11:14:41	ga_s2bm_ard_3-2-1_52JDR_2020-01-05_final.stac-item
2020-01-21 11:36:20	ga_s2bm_ard_3-2-1_50JPL_2020-01-21_final.stac-item
2020-02-29 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2020-02-29_final.stac-item
2020-03-14 11:46:45	ga_s2bm_ard_3-2-1_50HNJ_2020-03-14_final.stac-item
2020-04-13 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2020-04-13_final.stac-item
2020-04-20 11:35:20	ga_s2bm_ard_3-2-1_51JUJ_2020-04-20_final.stac-item
2020-04-24 11:16:35	ga_s2bm_ard_3-2-1_51HXD_2020-04-24_final.stac-item
2020-05-01 11:05:59	ga_s2bm_ard_3-2-1_52JDL_2020-05-01_final.stac-item
2020-05-27 11:21:45	ga_s2bm_ard_3-2-1_51LZD_2020-05-27_final.stac-item
2020-05-27 11:23:40	ga_s2bm_ard_3-2-1_51KYR_2020-05-27_final.stac-item
2020-10-01 11:13:29	ga_s2bm_ard_3-2-1_52KBB_2020-10-01_final.stac-item
2020-11-06 11:32:02	ga_s2bm_ard_3-2-1_51LWC_2020-11-06_final.stac-item
2021-01-22 11:24:11	ga_s2bm_ard_3-2-1_51KXP_2021-01-22_final.stac-item
2021-05-04 12:04:23	ga_s2bm_ard_3-2-1_50KLU_2021-05-04_final.stac-item
2021-05-05 11:36:40	ga_s2bm_ard_3-2-1_51HUD_2021-05-05_final.stac-item
2021-05-09 11:14:07	ga_s2bm_ard_3-2-1_52KBU_2021-05-09_final.stac-item
2021-07-17 11:46:02	ga_s2bm_ard_3-2-1_50JPM_2021-07-17_final.stac-item
2021-08-23 11:32:49	ga_s2bm_ard_3-2-1_51KYU_2021-08-23_final.stac-item
2021-08-29 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2021-08-29_final.stac-item
2021-10-22 11:35:57	ga_s2bm_ard_3-2-1_51JVG_2021-10-22_final.stac-item
2021-11-01 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2021-11-01_final.stac-item
2021-11-04 11:41:56	ga_s2bm_ard_3-2-1_51LWC_2021-11-04_final.stac-item
2021-11-11 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2021-11-11_final.stac-item
2021-11-15 11:14:07	ga_s2bm_ard_3-2-1_52KBU_2021-11-15_final.stac-item
2021-11-22 11:04:18	ga_s2bm_ard_3-2-1_52JDT_2021-11-22_final.stac-item
2021-11-22 11:04:29	ga_s2bm_ard_3-2-1_52JES_2021-11-22_final.stac-item
2021-12-20 12:06:04	ga_s2bm_ard_3-2-1_50JKM_2021-12-20_final.stac-item
2021-12-21 11:36:07	ga_s2bm_ard_3-2-1_51JTF_2021-12-21_final.stac-item
2022-01-17 11:24:28	ga_s2bm_ard_3-2-1_52JBS_2022-01-17_final.stac-item
2022-01-20 11:32:42	ga_s2bm_ard_3-2-1_51KVV_2022-01-20_final.stac-item
2022-02-26 11:26:10	ga_s2bm_ard_3-2-1_51JVF_2022-02-26_final.stac-item
2022-03-04 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2022-03-04_final.stac-item
2022-03-29 10:55:00	ga_s2bm_ard_3-2-1_52JGQ_2022-03-29_final.stac-item
2022-04-14 11:16:04	ga_s2bm_ard_3-2-1_51JYF_2022-04-14_final.stac-item
2022-05-19 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2022-05-19_final.stac-item
2022-07-19 11:36:19	ga_s2bm_ard_3-2-1_51JUF_2022-07-19_final.stac-item
2022-07-29 11:35:13	ga_s2bm_ard_3-2-1_51JWK_2022-07-29_final.stac-item
2022-07-30 11:05:42	ga_s2bm_ard_3-2-1_52JCN_2022-07-30_final.stac-item
2022-08-22 11:16:42	ga_s2bm_ard_3-2-1_51HXD_2022-08-22_final.stac-item
2022-08-25 11:25:21	ga_s2bm_ard_3-2-1_51JYJ_2022-08-25_final.stac-item
2022-10-01 12:50:58	ga_s2bm_ard_3-2-1_48LXP_2022-10-01_interim
2022-10-08 11:05:57	ga_s2bm_ard_3-2-1_52JEL_2022-10-08_final.stac-item
2022-10-23 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2022-10-23_final.stac-item
2022-11-05 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2022-11-05_final.stac-item
2022-12-10 11:16:33	ga_s2bm_ard_3-2-1_51HYD_2022-12-10_final.stac-item
2022-12-16 11:36:27	ga_s2bm_ard_3-2-1_51HUE_2022-12-16_final.stac-item
2022-12-29 11:41:32	ga_s2bm_ard_3-2-1_51LUE_2022-12-29_final.stac-item
2023-01-07 12:14:28	ga_s2bm_ard_3-2-1_49KFP_2023-01-07_nrt.stac-item
2023-02-21 11:23:10	ga_s2bm_ard_3-2-1_51KYT_2023-02-21_final
2023-03-26 11:33:04	ga_s2bm_ard_3-2-1_51KVU_2023-03-26_final
2023-03-26 11:36:49	ga_s2bm_ard_3-2-1_51HTD_2023-03-26_final
2023-03-30 11:15:42	ga_s2bm_ard_3-2-1_51JYH_2023-03-30_final
2023-04-02 11:24:35	ga_s2bm_ard_3-2-1_51JZM_2023-04-02_final
2023-05-01 11:54:13	ga_s2bm_ard_3-2-1_50KMV_2023-05-01_final
2023-05-02 11:23:23	ga_s2bm_ard_3-2-1_52KBB_2023-05-02_final
2023-07-27 11:46:03	ga_s2bm_ard_3-2-1_51JTG_2023-07-27_final
2023-08-16 11:46:31	ga_s2bm_ard_3-2-1_50JML_2023-08-16_final
2023-08-31 10:56:08	ga_s2bm_ard_3-2-1_52JEL_2023-08-31_final
2023-09-15 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2023-09-15_final
2023-11-08 11:24:32	ga_s2bm_ard_3-2-1_51JWN_2023-11-08_final
2023-12-07 11:57:09	ga_s2bm_ard_3-2-1_50HKH_2023-12-07_nrt
2023-12-18 11:21:10	ga_s2bm_ard_3-2-1_51LZF_2023-12-18_nrt
2023-12-31 11:35:50	ga_s2bm_ard_3-2-1_50JQN_2023-12-31_final
2024-01-17 11:22:11	ga_s2bm_ard_3-2-1_51KYB_2024-01-17_final
2024-01-26 11:53:52	ga_s2bm_ard_3-2-1_50KNA_2024-01-26_final
2024-01-30 11:33:10	ga_s2bm_ard_3-2-1_51KWT_2024-01-30_final
2024-02-13 11:16:35	ga_s2bm_ard_3-2-1_52HBJ_2024-02-13_nrt
2024-03-10 11:33:04	ga_s2bm_ard_3-2-1_51KXT_2024-03-10_final
2024-03-13 11:46:10	ga_s2bm_ard_3-2-1_50JMM_2024-03-13_final
2024-03-20 11:31:54	ga_s2bm_ard_3-2-1_51LYC_2024-03-20_final
2024-04-25 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2024-04-25_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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