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_50JLT_2017-08-20_final.stac-item
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_50JLT_2017-09-12_final.stac-item
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JKP_2017-11-18_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50HMJ_2017-12-28_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HPK_2018-01-14_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HLH_2018-01-24_final.stac-item
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_50JKP_2018-02-09_final.stac-item
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50HQK_2018-02-10_final.stac-item
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50JQM_2018-02-10_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50JNL_2018-02-13_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50JNN_2018-02-13_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50JPL_2018-02-13_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50JPN_2018-02-13_final.stac-item
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JKN_2018-02-16_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_50JPT_2018-03-15_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50JLP_2018-03-21_final.stac-item
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JPR_2018-03-25_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JMS_2018-03-28_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JNQ_2018-03-28_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JNR_2018-03-28_final.stac-item
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50HPH_2018-04-01_final.stac-item
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49JGL_2018-04-03_final.stac-item
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JPR_2018-04-04_final.stac-item
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HPH_2018-04-04_final.stac-item
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50JQM_2018-04-04_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JMN_2018-04-07_final.stac-item
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_50JKQ_2018-04-10_final.stac-item
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_50HQK_2018-04-11_final.stac-item
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_50JQN_2018-04-11_final.stac-item
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_50HQK_2018-04-11_final.stac-item
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JQS_2018-04-14_final.stac-item
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HMK_2018-04-14_final.stac-item
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50JML_2018-04-14_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JLQ_2018-04-17_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JLS_2018-04-17_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JMP_2018-04-17_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49KHP_2018-04-20_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JKQ_2018-04-20_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JKT_2018-04-20_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JLT_2018-04-20_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HQK_2018-04-24_final.stac-item
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_50HPH_2018-06-20_final.stac-item
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_50HQH_2018-06-30_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50JNM_2018-07-23_final.stac-item
2019-03-27 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2019-03-27_final.stac-item
2019-04-02 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2019-04-02_final.stac-item
2019-05-19 11:45:26	ga_s2bm_ard_3-2-1_50JQQ_2019-05-19_final.stac-item
2019-05-19 11:45:33	ga_s2bm_ard_3-2-1_50JNQ_2019-05-19_final.stac-item
2019-05-22 11:55:33	ga_s2bm_ard_3-2-1_50JMQ_2019-05-22_final.stac-item
2019-05-26 11:35:45	ga_s2bm_ard_3-2-1_50JQP_2019-05-26_final.stac-item
2019-05-29 11:45:26	ga_s2bm_ard_3-2-1_50JQQ_2019-05-29_final.stac-item
2019-05-29 11:45:33	ga_s2bm_ard_3-2-1_50JNQ_2019-05-29_final.stac-item
2019-05-29 11:46:17	ga_s2bm_ard_3-2-1_50JNM_2019-05-29_final.stac-item
2019-05-29 11:46:28	ga_s2bm_ard_3-2-1_50JPL_2019-05-29_final.stac-item
2019-05-29 11:47:15	ga_s2bm_ard_3-2-1_50HNH_2019-05-29_final.stac-item
2019-06-04 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-06-04_final.stac-item
2019-06-11 11:56:04	ga_s2bm_ard_3-2-1_50JLN_2019-06-11_final.stac-item
2019-12-01 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2019-12-01_final.stac-item
2020-05-19 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2020-05-19_final.stac-item
2020-05-29 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2020-05-29_final.stac-item
2020-06-19 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2020-06-19_final.stac-item
2020-10-23 11:54:48	ga_s2bm_ard_3-2-1_50JLT_2020-10-23_final.stac-item
2020-10-23 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2020-10-23_final.stac-item
2020-10-27 11:36:30	ga_s2bm_ard_3-2-1_50JPL_2020-10-27_final.stac-item
2020-10-30 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2020-10-30_final.stac-item
2021-01-08 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2021-01-08_final
2021-03-15 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2021-03-15_final
2021-04-25 11:37:12	ga_s2bm_ard_3-2-1_50HQG_2021-04-25_final
2021-05-08 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2021-05-08_final.stac-item
2021-05-24 12:05:41	ga_s2bm_ard_3-2-1_50JKP_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 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-06-13_final.stac-item
2021-06-17 11:46:01	ga_s2bm_ard_3-2-1_50JPM_2021-06-17_final.stac-item
2021-06-17 11:46:02	ga_s2bm_ard_3-2-1_50JNN_2021-06-17_final.stac-item
2021-06-17 11:46:07	ga_s2bm_ard_3-2-1_50JPM_2021-06-17_final.stac-item
2021-06-27 11:44:53	ga_s2bm_ard_3-2-1_50JPS_2021-06-27_final.stac-item
2021-06-30 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2021-06-30_final.stac-item
2021-07-03 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2021-07-03_final.stac-item
2021-07-03 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2021-07-03_final.stac-item
2021-07-07 11:46:06	ga_s2bm_ard_3-2-1_50JPM_2021-07-07_final.stac-item
2021-07-10 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2021-07-10_final.stac-item
2021-07-17 11:44:40	ga_s2bm_ard_3-2-1_50JPT_2021-07-17_final.stac-item
2021-07-17 11:45:26	ga_s2bm_ard_3-2-1_50JNQ_2021-07-17_final.stac-item
2021-07-17 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2021-07-17_final.stac-item
2021-07-23 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2021-07-23_final.stac-item
2021-07-24 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2021-07-24_final.stac-item
2021-07-27 11:45:13	ga_s2bm_ard_3-2-1_50JNR_2021-07-27_final.stac-item
2021-08-13 11:36:27	ga_s2bm_ard_3-2-1_50JPL_2021-08-13_final.stac-item
2021-08-23 11:36:25	ga_s2bm_ard_3-2-1_50JPL_2021-08-23_final.stac-item
2021-09-11 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2021-09-11_final
2021-09-24 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2021-09-24_final
2021-10-01 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2021-10-01_final
2021-11-14 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2021-11-14_final.stac-item
2021-12-07 11:54:35	ga_s2bm_ard_3-2-1_50JMT_2021-12-07_final.stac-item
2022-04-09 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2022-04-09_final.stac-item
2023-04-15 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2023-04-15_final
2023-05-05 11:37:24	ga_s2bm_ard_3-2-1_50HPG_2023-05-05_final
2023-11-27 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2023-11-27_final
2023-12-20 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2023-12-20_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