Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

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_50JLN_2017-07-11_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_49KHR_2017-09-22_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49JGL_2017-11-11_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51JUF_2017-11-19_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50KQC_2018-01-14_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51KUR_2018-04-04_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_51KTT_2018-06-03_final
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_50KKB_2018-06-12_final
2018-09-24 11:45:54	ga_s2bm_ard_3-2-1_50KQG_2018-09-24_final.stac-item
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_50JKP_2018-09-27_final
2018-10-24 11:43:41	ga_s2bm_ard_3-2-1_50KMC_2018-10-24_final
2018-11-06 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2018-11-06_final
2018-11-17 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2018-11-17_final
2018-11-20 11:43:10	ga_s2bm_ard_3-2-1_51KTT_2018-11-20_final
2018-11-27 11:34:14	ga_s2bm_ard_3-2-1_51KUP_2018-11-27_final
2018-12-04 11:26:31	ga_s2bm_ard_3-2-1_51HXD_2018-12-04_final
2019-01-15 12:03:58	ga_s2bm_ard_3-2-1_50KKA_2019-01-15_final
2019-01-30 11:16:41	ga_s2bm_ard_3-2-1_51HXD_2019-01-30_final
2019-05-15 12:04:54	ga_s2bm_ard_3-2-1_49JGN_2019-05-15_final
2019-06-08 11:46:51	ga_s2bm_ard_3-2-1_50HQJ_2019-06-08_final
2019-06-21 11:56:19	ga_s2bm_ard_3-2-1_50JLM_2019-06-21_final
2019-07-11 11:56:34	ga_s2bm_ard_3-2-1_50JLL_2019-07-11_final
2019-07-21 11:56:05	ga_s2bm_ard_3-2-1_50JLN_2019-07-21_final
2019-08-13 12:06:11	ga_s2bm_ard_3-2-1_50JLM_2019-08-13_final
2019-10-05 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2019-10-05_final
2019-11-01 12:03:24	ga_s2bm_ard_3-2-1_50KMC_2019-11-01_final
2019-12-05 11:42:57	ga_s2bm_ard_3-2-1_51KTU_2019-12-05_final
2019-12-18 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2019-12-18_final
2020-01-04 11:46:29	ga_s2bm_ard_3-2-1_50HPK_2020-01-04_final
2020-03-14 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2020-03-14_final
2020-04-09 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2020-04-09_final
2020-05-29 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2020-05-29_final
2020-06-05 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2020-06-05_final
2020-06-25 11:56:43	ga_s2bm_ard_3-2-1_50HLK_2020-06-25_final
2020-06-28 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-06-28_final
2020-06-29 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2020-06-29_final
2020-07-08 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2020-07-08_final
2020-07-31 12:13:42	ga_s2bm_ard_3-2-1_50KKB_2020-07-31_final
2020-09-17 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2020-09-17_final
2020-10-20 11:42:20	ga_s2bm_ard_3-2-1_51KUB_2020-10-20_final.stac-item
2020-10-26 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2020-10-26_final
2020-11-19 11:42:17	ga_s2bm_ard_3-2-1_51KUB_2020-11-19_final.stac-item
2020-11-26 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2020-11-26_final
2020-12-02 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2020-12-02_final
2020-12-05 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2020-12-05_final
2020-12-12 11:56:11	ga_s2bm_ard_3-2-1_50JKM_2020-12-12_final
2020-12-22 11:56:14	ga_s2bm_ard_3-2-1_50JNL_2020-12-22_final
2020-12-25 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2020-12-25_final
2020-12-29 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2020-12-29_final
2021-01-08 11:44:12	ga_s2bm_ard_3-2-1_51KUP_2021-01-08_final
2021-02-13 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-02-13_final
2021-03-02 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2021-03-02_final
2021-03-08 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2021-03-08_final
2021-04-15 11:36:57	ga_s2bm_ard_3-2-1_51HTC_2021-04-15_final
2021-06-04 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2021-06-04_final
2021-06-13 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2021-06-13_final
2021-06-20 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2021-06-20_final
2021-06-24 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2021-06-24_final
2021-07-13 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2021-07-13_final
2021-08-02 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-08-02_final
2021-10-08 11:56:08	ga_s2bm_ard_3-2-1_50JMM_2021-10-08_final
2022-02-02 11:43:38	ga_s2bm_ard_3-2-1_51KUR_2022-02-02_final
2022-02-11 12:13:48	ga_s2bm_ard_3-2-1_50KKA_2022-02-11_final
2022-04-03 11:44:42	ga_s2bm_ard_3-2-1_50JRS_2022-04-03_final
2022-04-03 11:45:29	ga_s2bm_ard_3-2-1_50JQP_2022-04-03_final
2022-04-09 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2022-04-09_final
2022-07-05 11:52:39	ga_s2bm_ard_3-2-1_50KQF_2022-07-05_final.stac-item
2022-09-11 11:17:01	ga_s2bm_ard_3-2-1_51HWC_2022-09-11_final.stac-item
2022-09-14 11:27:00	ga_s2bm_ard_3-2-1_51HVC_2022-09-14_final.stac-item
2022-09-30 11:44:48	ga_s2bm_ard_3-2-1_50JQS_2022-09-30_final.stac-item
2022-10-06 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2022-10-06_final.stac-item
2022-11-10 11:14:28	ga_s2bm_ard_3-2-1_51JYN_2022-11-10_final.stac-item
2022-11-15 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2022-11-15_final.stac-item
2022-11-16 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2022-11-16_final.stac-item
2022-11-19 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2022-11-19_final.stac-item
2022-11-25 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2022-11-25_final.stac-item
2022-12-09 11:43:54	ga_s2bm_ard_3-2-1_51KUQ_2022-12-09_final.stac-item
2022-12-15 12:03:39	ga_s2bm_ard_3-2-1_50KLB_2022-12-15_final.stac-item
2023-01-01 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2023-01-01_final.stac-item
2023-01-31 11:55:53	ga_s2bm_ard_3-2-1_50JLN_2023-01-31_final.stac-item
2023-01-31 11:56:13	ga_s2bm_ard_3-2-1_50JMM_2023-01-31_final.stac-item
2023-02-17 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2023-02-17_final.stac-item
2023-06-10 11:56:19	ga_s2bm_ard_3-2-1_50JKM_2023-06-10_final.stac-item
2023-06-28 11:16:49	ga_s2bm_ard_3-2-1_51HWD_2023-06-28_final.stac-item
2023-07-07 11:46:24	ga_s2bm_ard_3-2-1_50JPL_2023-07-07_final.stac-item
2023-07-27 11:43:35	ga_s2bm_ard_3-2-1_51KUS_2023-07-27_final.stac-item
2023-07-27 11:46:40	ga_s2bm_ard_3-2-1_50HPK_2023-07-27_final.stac-item
2023-09-04 12:13:59	ga_s2bm_ard_3-2-1_50KKA_2023-09-04_final.stac-item
2023-09-18 11:56:21	ga_s2bm_ard_3-2-1_50JNL_2023-09-18_final.stac-item
2023-10-28 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2023-10-28_final.stac-item
2023-11-04 11:43:06	ga_s2bm_ard_3-2-1_51KTU_2023-11-04_final.stac-item
2023-11-21 11:34:12	ga_s2bm_ard_3-2-1_51JXN_2023-11-21_final.stac-item
2023-11-30 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2023-11-30_final.stac-item
2023-12-07 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2023-12-07_final.stac-item
2023-12-24 11:42:18	ga_s2bm_ard_3-2-1_51KUB_2023-12-24_final.stac-item
2023-12-31 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2023-12-31_final.stac-item
2024-02-08 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2024-02-08_final.stac-item
2024-03-19 12:03:58	ga_s2bm_ard_3-2-1_50KKA_2024-03-19_final.stac-item
2024-04-25 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2024-04-25_final.stac-item
2024-04-29 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2024-04-29_final.stac-item

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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years