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
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50KLU_2017-08-20_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JQP_2017-08-27_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50HMJ_2017-12-28_final.stac-item
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49JGM_2018-01-10_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HMH_2018-01-14_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50JPT_2018-01-24_final.stac-item
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49JGM_2018-01-30_final.stac-item
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_50JQP_2018-02-03_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50JPM_2018-02-13_final.stac-item
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50KLU_2018-02-26_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50HMH_2018-03-08_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JKP_2018-03-08_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50JPM_2018-03-15_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49JGM_2018-03-21_final.stac-item
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JQQ_2018-03-25_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JMQ_2018-03-28_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JMT_2018-03-28_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JLS_2018-03-31_final.stac-item
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HPJ_2018-04-04_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JLS_2018-04-07_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50KNU_2018-04-07_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50JLT_2018-04-10_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50KKV_2018-04-10_final.stac-item
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JQQ_2018-04-14_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JLN_2018-04-17_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50KMC_2018-04-17_final.stac-item
2018-04-20 12:02:48	ga_s2bm_ard_3-2-1_50KMC_2018-04-20_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JGK_2018-04-20_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JHN_2018-04-20_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JQT_2018-04-24_final.stac-item
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_50HQH_2018-06-30_final.stac-item
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50JLT_2018-08-25_final.stac-item
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JKN_2018-10-04_final.stac-item
2018-12-16 12:04:37	ga_s2bm_ard_3-2-1_50JKT_2018-12-16_final.stac-item
2019-02-28 11:46:18	ga_s2bm_ard_3-2-1_50JPL_2019-02-28_final.stac-item
2019-03-09 12:13:37	ga_s2bm_ard_3-2-1_50KKB_2019-03-09_final.stac-item
2019-03-23 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2019-03-23_final.stac-item
2019-04-29 11:45:54	ga_s2bm_ard_3-2-1_50JQN_2019-04-29_final.stac-item
2019-04-29 11:46:01	ga_s2bm_ard_3-2-1_50JNN_2019-04-29_final.stac-item
2019-05-19 11:45:12	ga_s2bm_ard_3-2-1_50JQR_2019-05-19_final.stac-item
2019-05-19 11:45:20	ga_s2bm_ard_3-2-1_50JNR_2019-05-19_final.stac-item
2019-05-26 11:36:28	ga_s2bm_ard_3-2-1_50JQL_2019-05-26_final.stac-item
2019-05-26 11:36:35	ga_s2bm_ard_3-2-1_50JPL_2019-05-26_final.stac-item
2019-05-29 11:45:12	ga_s2bm_ard_3-2-1_50JQR_2019-05-29_final.stac-item
2019-05-29 11:45:20	ga_s2bm_ard_3-2-1_50JNR_2019-05-29_final.stac-item
2019-05-29 11:46:02	ga_s2bm_ard_3-2-1_50JNN_2019-05-29_final.stac-item
2019-06-01 11:54:53	ga_s2bm_ard_3-2-1_50JLT_2019-06-01_final.stac-item
2019-06-01 11:54:56	ga_s2bm_ard_3-2-1_50JPS_2019-06-01_final.stac-item
2019-06-01 11:55:50	ga_s2bm_ard_3-2-1_50JLP_2019-06-01_final.stac-item
2019-06-01 11:56:08	ga_s2bm_ard_3-2-1_50JKN_2019-06-01_final.stac-item
2019-07-11 11:54:31	ga_s2bm_ard_3-2-1_50KNU_2019-07-11_final.stac-item
2019-08-10 11:56:43	ga_s2bm_ard_3-2-1_50HMK_2019-08-10_final.stac-item
2020-03-14 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2020-03-14_final.stac-item
2020-03-27 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2020-03-27_final.stac-item
2020-04-23 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-04-23_final.stac-item
2020-05-26 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2020-05-26_final.stac-item
2020-05-29 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2020-05-29_final.stac-item
2020-05-29 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2020-05-29_final.stac-item
2020-07-05 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2020-07-05_final.stac-item
2020-08-04 11:55:13	ga_s2bm_ard_3-2-1_50JMR_2020-08-04_final.stac-item
2020-09-03 11:55:56	ga_s2bm_ard_3-2-1_50JMN_2020-09-03_final.stac-item
2020-10-20 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2020-10-20_final.stac-item
2021-01-08 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2021-01-08_final
2021-01-18 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-01-18_final
2021-02-17 11:45:37	ga_s2bm_ard_3-2-1_50JNP_2021-02-17_final.stac-item
2021-03-22 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2021-03-22_final.stac-item
2021-05-08 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2021-05-08_final
2021-05-17 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2021-05-17_final.stac-item
2021-05-18 11:45:59	ga_s2bm_ard_3-2-1_50JPM_2021-05-18_final.stac-item
2021-05-21 11:54:33	ga_s2bm_ard_3-2-1_50KLU_2021-05-21_final.stac-item
2021-05-24 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2021-05-24_final.stac-item
2021-05-28 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2021-05-28_final
2021-06-13 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2021-06-13_final.stac-item
2021-06-14 11:35:38	ga_s2bm_ard_3-2-1_50JQP_2021-06-14_final.stac-item
2021-06-20 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2021-06-20_final.stac-item
2021-07-10 11:54:28	ga_s2bm_ard_3-2-1_50KMU_2021-07-10_final.stac-item
2021-07-17 11:44:25	ga_s2bm_ard_3-2-1_50KPU_2021-07-17_final.stac-item
2021-07-27 11:46:07	ga_s2bm_ard_3-2-1_50JPM_2021-07-27_final.stac-item
2021-08-02 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2021-08-02_final.stac-item
2021-08-16 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2021-08-16_final.stac-item
2021-08-16 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-08-16_final
2021-08-19 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2021-08-19_final.stac-item
2021-08-22 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-08-22_final.stac-item
2021-09-01 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2021-09-01_final
2021-09-21 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2021-09-21_final.stac-item
2021-12-07 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2021-12-07_final.stac-item
2021-12-07 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2021-12-07_final.stac-item
2022-03-30 12:04:36	ga_s2bm_ard_3-2-1_50JKT_2022-03-30_final.stac-item
2022-04-03 11:44:42	ga_s2bm_ard_3-2-1_50JRS_2022-04-03_final.stac-item
2022-06-28 12:06:15	ga_s2bm_ard_3-2-1_50JKM_2022-06-28_final.stac-item
2022-08-10 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2022-08-10_final.stac-item
2022-12-10 12:50:55	ga_s2bm_ard_3-2-1_48LXP_2022-12-10_interim
2023-01-11 11:54:22	ga_s2bm_ard_3-2-1_50KMU_2023-01-11_final.stac-item
2023-01-11 11:54:40	ga_s2bm_ard_3-2-1_50JLT_2023-01-11_final.stac-item
2023-01-11 11:56:26	ga_s2bm_ard_3-2-1_50HNK_2023-01-11_final.stac-item
2023-01-11 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2023-01-11_final.stac-item
2023-04-01 11:54:51	ga_s2bm_ard_3-2-1_50JPS_2023-04-01_final
2023-08-12 12:05:49	ga_s2bm_ard_3-2-1_49JGJ_2023-08-12_final
2023-09-01 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-09-01_final
2023-11-27 11:54:59	ga_s2bm_ard_3-2-1_50JPR_2023-11-27_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