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
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_51JXG_2017-08-28_final.stac-item
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KXQ_2017-11-22_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51LZD_2018-01-31_final.stac-item
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52JGR_2018-02-01_final.stac-item
2018-02-04 11:11:54	ga_s2bm_ard_3-2-1_51HWE_2018-02-04_final.stac-item
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51JWF_2018-02-07_final.stac-item
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51JVK_2018-02-10_final.stac-item
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51LYC_2018-02-27_final.stac-item
2018-04-22 10:57:14	ga_s2bm_ard_3-2-1_52JBL_2018-04-22_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KXQ_2018-05-11_final.stac-item
2018-06-02 12:13:22	ga_s2bm_ard_3-2-1_49KHR_2018-06-02_final.stac-item
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50JPM_2018-07-13_final.stac-item
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50JMM_2018-07-16_final.stac-item
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_49JHN_2018-07-19_final.stac-item
2018-08-28 12:04:53	ga_s2bm_ard_3-2-1_50JLQ_2018-08-28_final.stac-item
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_49JGK_2018-10-07_final.stac-item
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_50JQL_2018-10-08_final.stac-item
2018-10-09 11:00:38	ga_s2bm_ard_3-2-1_52JDL_2018-10-09_final.stac-item
2018-10-25 11:18:26	ga_s2bm_ard_3-2-1_52KCC_2018-10-25_final.stac-item
2018-12-17 11:37:01	ga_s2bm_ard_3-2-1_50HPH_2018-12-17_final.stac-item
2019-01-06 11:32:30	ga_s2bm_ard_3-2-1_51KVA_2019-01-06_final.stac-item
2019-02-05 11:35:45	ga_s2bm_ard_3-2-1_51JUH_2019-02-05_final.stac-item
2019-03-20 11:42:21	ga_s2bm_ard_3-2-1_51KWA_2019-03-20_final.stac-item
2019-03-26 12:03:38	ga_s2bm_ard_3-2-1_50KMB_2019-03-26_final.stac-item
2019-04-02 11:55:18	ga_s2bm_ard_3-2-1_50JPQ_2019-04-02_final.stac-item
2019-07-25 11:33:10	ga_s2bm_ard_3-2-1_51KYT_2019-07-25_final.stac-item
2019-09-23 11:33:08	ga_s2bm_ard_3-2-1_51KXT_2019-09-23_final.stac-item
2019-10-20 11:26:12	ga_s2bm_ard_3-2-1_51JWF_2019-10-20_final.stac-item
2019-11-29 11:24:51	ga_s2bm_ard_3-2-1_51JXL_2019-11-29_final.stac-item
2020-01-05 11:14:24	ga_s2bm_ard_3-2-1_51JYN_2020-01-05_final.stac-item
2020-01-08 11:25:22	ga_s2bm_ard_3-2-1_51JWJ_2020-01-08_final.stac-item
2020-01-11 11:34:31	ga_s2bm_ard_3-2-1_50JRT_2020-01-11_final.stac-item
2020-01-13 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2020-01-13_final.stac-item
2020-03-01 11:32:37	ga_s2bm_ard_3-2-1_51KXV_2020-03-01_final.stac-item
2020-03-02 11:04:01	ga_s2bm_ard_3-2-1_52KEU_2020-03-02_final.stac-item
2020-03-04 11:43:12	ga_s2bm_ard_3-2-1_51KUT_2020-03-04_final.stac-item
2020-03-21 11:35:10	ga_s2bm_ard_3-2-1_51JVK_2020-03-21_final.stac-item
2020-03-22 11:05:50	ga_s2bm_ard_3-2-1_52JCM_2020-03-22_final.stac-item
2020-06-18 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2020-06-18_final.stac-item
2020-08-04 11:55:56	ga_s2bm_ard_3-2-1_50JMN_2020-08-04_final.stac-item
2020-10-09 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2020-10-09_final.stac-item
2020-10-17 11:33:42	ga_s2bm_ard_3-2-1_51KXR_2020-10-17_final.stac-item
2020-12-12 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2020-12-12_final.stac-item
2021-01-05 11:34:31	ga_s2bm_ard_3-2-1_51JUN_2021-01-05_final.stac-item
2021-02-08 11:16:01	ga_s2bm_ard_3-2-1_52JCL_2021-02-08_final.stac-item
2021-03-05 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2021-03-05_final.stac-item
2021-03-20 11:13:21	ga_s2bm_ard_3-2-1_52KCB_2021-03-20_final.stac-item
2021-04-09 11:16:38	ga_s2bm_ard_3-2-1_51HXD_2021-04-09_final.stac-item
2021-04-22 11:26:05	ga_s2bm_ard_3-2-1_51JWF_2021-04-22_final.stac-item
2021-05-02 11:25:27	ga_s2bm_ard_3-2-1_51JVJ_2021-05-02_final.stac-item
2021-05-26 11:04:21	ga_s2bm_ard_3-2-1_52JDT_2021-05-26_final.stac-item
2021-05-29 11:16:41	ga_s2bm_ard_3-2-1_51HXD_2021-05-29_final.stac-item
2021-06-17 11:41:56	ga_s2bm_ard_3-2-1_51LWC_2021-06-17_final.stac-item
2021-07-02 10:55:29	ga_s2bm_ard_3-2-1_52JGN_2021-07-02_final.stac-item
2021-07-02 10:55:43	ga_s2bm_ard_3-2-1_52JGM_2021-07-02_final.stac-item
2021-08-03 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2021-08-03_final.stac-item
2021-08-03 11:36:48	ga_s2bm_ard_3-2-1_51HTD_2021-08-03_final.stac-item
2021-08-15 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2021-08-15_final.stac-item
2021-08-24 11:05:57	ga_s2bm_ard_3-2-1_52JBM_2021-08-24_final.stac-item
2021-11-01 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2021-11-01_final.stac-item
2021-11-05 11:16:21	ga_s2bm_ard_3-2-1_52HBK_2021-11-05_final.stac-item
2022-01-05 10:45:56	ga_s2bm_ard_3-2-1_52JGL_2022-01-05_final.stac-item
2022-01-14 11:12:31	ga_s2bm_ard_3-2-1_52KDE_2022-01-14_final.stac-item
2022-01-21 11:04:24	ga_s2bm_ard_3-2-1_52JFS_2022-01-21_final.stac-item
2022-02-26 11:24:00	ga_s2bm_ard_3-2-1_51KZP_2022-02-26_final.stac-item
2022-03-14 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2022-03-14_final.stac-item
2022-04-24 11:16:02	ga_s2bm_ard_3-2-1_51JYF_2022-04-24_final.stac-item
2022-05-04 11:13:32	ga_s2bm_ard_3-2-1_52KCA_2022-05-04_final.stac-item
2022-05-04 11:15:46	ga_s2bm_ard_3-2-1_52JBM_2022-05-04_final.stac-item
2022-05-17 11:23:34	ga_s2bm_ard_3-2-1_52KBA_2022-05-17_final.stac-item
2022-06-01 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2022-06-01_final.stac-item
2022-06-09 11:35:39	ga_s2bm_ard_3-2-1_50JQP_2022-06-09_final.stac-item
2022-06-16 11:25:24	ga_s2bm_ard_3-2-1_51JYJ_2022-06-16_final.stac-item
2022-06-16 11:25:35	ga_s2bm_ard_3-2-1_51JVJ_2022-06-16_final.stac-item
2022-06-18 12:05:01	ga_s2bm_ard_3-2-1_49JHM_2022-06-18_final.stac-item
2022-06-28 12:03:28	ga_s2bm_ard_3-2-1_50KMC_2022-06-28_final.stac-item
2022-08-04 11:56:01	ga_s2bm_ard_3-2-1_50JLN_2022-08-04_final.stac-item
2022-08-16 10:55:19	ga_s2bm_ard_3-2-1_52JFP_2022-08-16_final.stac-item
2022-10-07 11:31:57	ga_s2bm_ard_3-2-1_51LWC_2022-10-07_final.stac-item
2022-10-23 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2022-10-23_final.stac-item
2022-10-30 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2022-10-30_final.stac-item
2022-11-13 11:23:39	ga_s2bm_ard_3-2-1_51KYR_2022-11-13_final.stac-item
2023-01-09 11:13:37	ga_s2bm_ard_3-2-1_51KZR_2023-01-09_final.stac-item
2023-01-21 11:53:29	ga_s2bm_ard_3-2-1_50KQB_2023-01-21_final.stac-item
2023-04-02 11:26:39	ga_s2bm_ard_3-2-1_51HXD_2023-04-02_final
2023-04-24 12:05:40	ga_s2bm_ard_3-2-1_50JLP_2023-04-24_final
2023-06-07 11:45:26	ga_s2bm_ard_3-2-1_50JPQ_2023-06-07_final
2023-06-20 11:56:01	ga_s2bm_ard_3-2-1_50JLN_2023-06-20_final
2023-07-01 11:22:42	ga_s2bm_ard_3-2-1_52KBE_2023-07-01_final
2023-07-27 11:43:17	ga_s2bm_ard_3-2-1_51KVT_2023-07-27_final
2023-08-10 11:23:26	ga_s2bm_ard_3-2-1_52KBB_2023-08-10_final
2023-09-12 11:33:05	ga_s2bm_ard_3-2-1_51KYT_2023-09-12_final
2023-09-12 11:33:16	ga_s2bm_ard_3-2-1_51KWT_2023-09-12_final
2023-11-25 12:50:55	ga_s2bm_ard_3-2-1_48LWP_2023-11-25_final
2024-01-15 10:45:46	ga_s2bm_ard_3-2-1_52JGM_2024-01-15_final
2024-01-16 11:57:12	ga_s2bm_ard_3-2-1_50HMH_2024-01-16_final
2024-03-13 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2024-03-13_final
2024-04-12 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2024-04-12_final
2024-04-15 11:56:15	ga_s2bm_ard_3-2-1_50JKM_2024-04-15_final
2024-04-26 11:25:51	ga_s2bm_ard_3-2-1_51JXG_2024-04-26_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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