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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50KLU_2017-08-13_final
2017-08-16 12:13:41	ga_s2bm_ard_3-2-1_50KKA_2017-08-16_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50KRU_2017-11-25_final
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_50HPG_2017-12-12_final.stac-item
2017-12-18 11:55:59	ga_s2bm_ard_3-2-1_50HLK_2017-12-18_final
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HMG_2018-01-07_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50JRT_2018-01-11_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50HLH_2018-03-08_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JKN_2018-03-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50KRC_2018-03-28_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49KGQ_2018-04-10_final
2018-04-20 12:02:48	ga_s2bm_ard_3-2-1_49KHS_2018-04-20_final.stac-item
2018-04-20 12:02:48	ga_s2bm_ard_3-2-1_50KKB_2018-04-20_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JMM_2018-04-24_final
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_50KLB_2018-05-30_final
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50HPK_2018-06-13_final
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HQJ_2018-06-23_final
2018-08-01 12:13:25	ga_s2bm_ard_3-2-1_49JGN_2018-08-01_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HPG_2018-08-02_final.stac-item
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50JPL_2018-08-22_final
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_50KRD_2018-09-01_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JLL_2018-09-04_final
2018-12-23 11:55:11	ga_s2bm_ard_3-2-1_50JPQ_2018-12-23_final
2019-02-14 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2019-02-14_final
2019-03-27 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2019-03-27_final.stac-item
2019-04-05 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2019-04-05_final
2019-04-22 11:53:27	ga_s2bm_ard_3-2-1_50KPC_2019-04-22_final
2019-06-28 11:47:25	ga_s2bm_ard_3-2-1_50HPG_2019-06-28_final.stac-item
2019-08-30 11:53:14	ga_s2bm_ard_3-2-1_50KRC_2019-08-30_final
2019-08-30 11:56:00	ga_s2bm_ard_3-2-1_50JLN_2019-08-30_final
2019-09-09 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2019-09-09_final.stac-item
2019-11-15 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2019-11-15_final.stac-item
2019-12-15 11:43:13	ga_s2bm_ard_3-2-1_50KRC_2019-12-15_final
2020-02-06 11:57:14	ga_s2bm_ard_3-2-1_50HMG_2020-02-06_final.stac-item
2020-03-07 11:52:26	ga_s2bm_ard_3-2-1_50KQF_2020-03-07_final.stac-item
2020-03-17 11:52:33	ga_s2bm_ard_3-2-1_50KQF_2020-03-17_final.stac-item
2020-04-03 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2020-04-03_final
2020-05-26 11:56:09	ga_s2bm_ard_3-2-1_50JMM_2020-05-26_final
2020-06-28 12:03:43	ga_s2bm_ard_3-2-1_50KLB_2020-06-28_final
2020-07-28 12:03:22	ga_s2bm_ard_3-2-1_50KNC_2020-07-28_final
2020-08-27 12:03:27	ga_s2bm_ard_3-2-1_50KMC_2020-08-27_final
2020-08-30 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2020-08-30_final
2020-10-30 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2020-10-30_final.stac-item
2020-11-06 11:36:48	ga_s2bm_ard_3-2-1_51HTD_2020-11-06_final
2020-11-19 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2020-11-19_final.stac-item
2020-11-29 11:44:25	ga_s2bm_ard_3-2-1_50JRT_2020-11-29_final
2020-12-05 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2020-12-05_final
2020-12-19 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2020-12-19_final.stac-item
2020-12-22 11:56:14	ga_s2bm_ard_3-2-1_50JNL_2020-12-22_final
2021-01-21 11:53:17	ga_s2bm_ard_3-2-1_50KQC_2021-01-21_final
2021-02-07 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2021-02-07_final
2021-02-07 11:44:15	ga_s2bm_ard_3-2-1_50KRU_2021-02-07_final
2021-03-12 11:53:42	ga_s2bm_ard_3-2-1_50KMB_2021-03-12_final
2021-04-11 11:55:50	ga_s2bm_ard_3-2-1_50JMN_2021-04-11_final
2021-04-14 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2021-04-14_final
2021-05-14 12:05:07	ga_s2bm_ard_3-2-1_49JFM_2021-05-14_final
2021-05-24 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2021-05-24_final
2021-06-13 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2021-06-13_final
2021-07-10 11:55:48	ga_s2bm_ard_3-2-1_50JKP_2021-07-10_final
2021-07-30 11:52:36	ga_s2bm_ard_3-2-1_50KQF_2021-07-30_final.stac-item
2021-08-13 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2021-08-13_final
2021-08-15 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-08-15_final
2021-10-18 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2021-10-18_final
2021-10-18 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2021-10-18_final
2021-11-21 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2021-11-21_final.stac-item
2021-12-01 11:36:58	ga_s2bm_ard_3-2-1_50HQH_2021-12-01_final
2021-12-27 11:55:42	ga_s2bm_ard_3-2-1_50JKP_2021-12-27_final
2022-02-12 11:45:19	ga_s2bm_ard_3-2-1_50JNQ_2022-02-12_final
2022-02-28 12:03:40	ga_s2bm_ard_3-2-1_50KKB_2022-02-28_final
2022-03-17 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2022-03-17_final
2022-05-16 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2022-05-16_final
2022-05-20 11:34:36	ga_s2bm_ard_3-2-1_50JRT_2022-05-20_final
2022-06-12 11:45:20	ga_s2bm_ard_3-2-1_50JQQ_2022-06-12_final
2022-06-25 11:56:19	ga_s2bm_ard_3-2-1_50JKM_2022-06-25_final
2022-07-12 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2022-07-12_final
2022-09-06 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2022-09-06_final.stac-item
2022-09-26 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2022-09-26_final.stac-item
2022-11-16 11:37:17	ga_s2bm_ard_3-2-1_50HQG_2022-11-16_final.stac-item
2022-12-23 11:27:06	ga_s2bm_ard_3-2-1_51HTC_2022-12-23_final.stac-item
2023-01-21 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2023-01-21_final.stac-item
2023-02-06 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2023-02-06_final.stac-item
2023-02-10 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2023-02-10_final.stac-item
2023-03-09 11:44:34	ga_s2bm_ard_3-2-1_50JRT_2023-03-09_final.stac-item
2023-04-11 11:55:29	ga_s2bm_ard_3-2-1_50JLQ_2023-04-11_final.stac-item
2023-04-28 11:43:06	ga_s2bm_ard_3-2-1_50KRD_2023-04-28_final.stac-item
2023-06-07 11:43:09	ga_s2bm_ard_3-2-1_50KRD_2023-06-07_final.stac-item
2023-06-07 11:46:20	ga_s2bm_ard_3-2-1_50JQL_2023-06-07_final.stac-item
2023-06-24 11:36:42	ga_s2bm_ard_3-2-1_50HPK_2023-06-24_final.stac-item
2023-07-20 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-07-20_final.stac-item
2023-07-23 12:03:50	ga_s2bm_ard_3-2-1_49KHS_2023-07-23_final.stac-item
2023-07-27 11:46:43	ga_s2bm_ard_3-2-1_50HNK_2023-07-27_final.stac-item
2023-08-09 11:52:25	ga_s2bm_ard_3-2-1_50KQG_2023-08-09_final.stac-item
2023-08-19 11:52:39	ga_s2bm_ard_3-2-1_50KQF_2023-08-19_final.stac-item
2023-12-10 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2023-12-10_final.stac-item
2023-12-14 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2023-12-14_final.stac-item
2024-02-18 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2024-02-18_final.stac-item
2024-02-22 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2024-02-22_final.stac-item
2024-02-28 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2024-02-28_final.stac-item
2024-03-26 11:53:21	ga_s2bm_ard_3-2-1_50KPC_2024-03-26_final.stac-item
2024-04-19 11:37:27	ga_s2bm_ard_3-2-1_50HPG_2024-04-19_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