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_50JMN_2017-07-11_final.stac-item
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50HNJ_2017-07-18_final.stac-item
2017-08-06 12:13:20	ga_s2bm_ard_3-2-1_49KGP_2017-08-06_final.stac-item
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HNJ_2017-08-07_final.stac-item
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JMP_2017-11-18_final.stac-item
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_50JKN_2017-12-01_final.stac-item
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50HNK_2017-12-05_final.stac-item
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_50KRB_2018-02-03_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGJ_2018-03-01_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51HTC_2018-05-21_final.stac-item
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_49KGR_2018-05-23_final.stac-item
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51HTC_2018-05-31_final.stac-item
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50KMC_2018-06-09_final.stac-item
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50KKB_2018-06-29_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50JPL_2018-09-21_final.stac-item
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_49JHN_2018-10-07_final.stac-item
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JMM_2018-10-14_final.stac-item
2018-11-27 11:36:43	ga_s2bm_ard_3-2-1_51HTD_2018-11-27_final.stac-item
2018-11-30 11:43:00	ga_s2bm_ard_3-2-1_50KRD_2018-11-30_final.stac-item
2018-12-30 11:43:15	ga_s2bm_ard_3-2-1_50KRC_2018-12-30_final.stac-item
2019-01-12 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2019-01-12_final.stac-item
2019-01-29 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2019-01-29_final.stac-item
2019-04-13 11:27:07	ga_s2bm_ard_3-2-1_51HUC_2019-04-13_final.stac-item
2019-05-26 11:37:15	ga_s2bm_ard_3-2-1_50HPH_2019-05-26_final.stac-item
2019-06-17 12:14:02	ga_s2bm_ard_3-2-1_49KHR_2019-06-17_final.stac-item
2019-06-21 11:57:17	ga_s2bm_ard_3-2-1_50HLH_2019-06-21_final.stac-item
2019-06-27 12:14:03	ga_s2bm_ard_3-2-1_49KHR_2019-06-27_final.stac-item
2019-07-04 12:04:22	ga_s2bm_ard_3-2-1_50KKV_2019-07-04_final.stac-item
2019-07-11 11:53:55	ga_s2bm_ard_3-2-1_50KQA_2019-07-11_final.stac-item
2019-07-18 11:46:35	ga_s2bm_ard_3-2-1_50JML_2019-07-18_final.stac-item
2019-08-27 11:45:51	ga_s2bm_ard_3-2-1_50JQN_2019-08-27_final.stac-item
2019-09-16 11:44:45	ga_s2bm_ard_3-2-1_50JRS_2019-09-16_final.stac-item
2019-10-09 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2019-10-09_final.stac-item
2019-12-01 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2019-12-01_final.stac-item
2019-12-24 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2019-12-24_final.stac-item
2020-01-13 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2020-01-13_final.stac-item
2020-04-13 11:46:30	ga_s2bm_ard_3-2-1_50HPK_2020-04-13_final.stac-item
2020-04-16 11:56:21	ga_s2bm_ard_3-2-1_50JLL_2020-04-16_final.stac-item
2020-04-29 12:04:09	ga_s2bm_ard_3-2-1_50KKV_2020-04-29_final.stac-item
2020-04-29 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2020-04-29_final.stac-item
2020-05-09 12:04:08	ga_s2bm_ard_3-2-1_50KLV_2020-05-09_final.stac-item
2020-06-08 12:04:15	ga_s2bm_ard_3-2-1_50KKV_2020-06-08_final.stac-item
2020-07-01 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2020-07-01_final.stac-item
2020-07-25 11:53:19	ga_s2bm_ard_3-2-1_50KQC_2020-07-25_final.stac-item
2020-08-07 12:04:09	ga_s2bm_ard_3-2-1_50KKA_2020-08-07_final.stac-item
2020-08-11 11:45:21	ga_s2bm_ard_3-2-1_50JQQ_2020-08-11_final.stac-item
2020-08-21 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2020-08-21_final.stac-item
2020-09-10 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2020-09-10_final.stac-item
2020-10-03 11:53:20	ga_s2bm_ard_3-2-1_50KQC_2020-10-03_final.stac-item
2020-10-19 12:13:58	ga_s2bm_ard_3-2-1_50KKA_2020-10-19_final.stac-item
2020-11-12 11:56:25	ga_s2bm_ard_3-2-1_50JNL_2020-11-12_final.stac-item
2020-11-28 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2020-11-28_final.stac-item
2020-12-12 11:56:05	ga_s2bm_ard_3-2-1_50JMM_2020-12-12_final.stac-item
2021-01-15 11:36:46	ga_s2bm_ard_3-2-1_51HTD_2021-01-15_final.stac-item
2021-01-21 11:57:12	ga_s2bm_ard_3-2-1_50HMH_2021-01-21_final.stac-item
2021-03-08 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2021-03-08_final.stac-item
2021-05-27 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2021-05-27_final.stac-item
2021-06-27 11:46:20	ga_s2bm_ard_3-2-1_50JPL_2021-06-27_final.stac-item
2021-07-30 11:52:36	ga_s2bm_ard_3-2-1_50KQF_2021-07-30_final
2021-08-05 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2021-08-05_final.stac-item
2021-08-12 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2021-08-12_final.stac-item
2021-09-04 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2021-09-04_final.stac-item
2021-10-18 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2021-10-18_final.stac-item
2022-03-07 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2022-03-07_final.stac-item
2022-03-13 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2022-03-13_final.stac-item
2022-03-27 11:53:14	ga_s2bm_ard_3-2-1_50KQC_2022-03-27_final.stac-item
2022-04-09 12:04:07	ga_s2bm_ard_3-2-1_50KLV_2022-04-09_final.stac-item
2022-04-09 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2022-04-09_final.stac-item
2022-05-10 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2022-05-10_final.stac-item
2022-05-13 11:46:24	ga_s2bm_ard_3-2-1_50JML_2022-05-13_final.stac-item
2022-05-22 12:14:45	ga_s2bm_ard_3-2-1_49JFN_2022-05-22_final.stac-item
2022-06-25 11:53:26	ga_s2bm_ard_3-2-1_50KPC_2022-06-25_final.stac-item
2022-07-18 12:06:09	ga_s2bm_ard_3-2-1_50JLM_2022-07-18_final.stac-item
2022-08-07 12:04:17	ga_s2bm_ard_3-2-1_50KKV_2022-08-07_final.stac-item
2022-08-31 11:45:55	ga_s2bm_ard_3-2-1_50JNN_2022-08-31_final.stac-item
2022-09-26 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2022-09-26_final.stac-item
2022-11-05 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2022-11-05_final.stac-item
2022-11-05 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2022-11-05_final.stac-item
2022-12-05 12:04:22	ga_s2bm_ard_3-2-1_50KLU_2022-12-05_final.stac-item
2023-01-07 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2023-01-07_final.stac-item
2023-02-04 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2023-02-04_final
2023-02-23 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2023-02-23_final
2023-04-01 11:55:56	ga_s2bm_ard_3-2-1_50JMN_2023-04-01_final
2023-05-21 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2023-05-21_final
2023-06-07 11:46:38	ga_s2bm_ard_3-2-1_50HPK_2023-06-07_final
2023-08-19 11:53:30	ga_s2bm_ard_3-2-1_50KNC_2023-08-19_final
2023-08-26 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2023-08-26_final
2023-09-02 11:36:21	ga_s2bm_ard_3-2-1_50JQL_2023-09-02_final
2023-09-05 11:43:07	ga_s2bm_ard_3-2-1_50KRD_2023-09-05_final
2023-09-21 12:04:46	ga_s2bm_ard_3-2-1_50JKT_2023-09-21_final
2023-10-02 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2023-10-02_final
2023-12-10 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2023-12-10_final
2024-01-09 12:05:36	ga_s2bm_ard_3-2-1_50JLP_2024-01-09_final
2024-01-29 12:03:57	ga_s2bm_ard_3-2-1_50KKA_2024-01-29_final
2024-02-05 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2024-02-05_final
2024-02-15 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2024-02-15_final
2024-02-25 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2024-02-25_final
2024-03-23 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2024-03-23_final
2024-04-18 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2024-04-18_final
2024-04-25 11:57:18	ga_s2bm_ard_3-2-1_50HMG_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

All years