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
2017-07-01 11:56:07	ga_s2bm_ard_3-2-1_50JML_2017-07-01_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50HLK_2017-09-29_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50HLH_2017-11-05_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_50JKP_2017-11-11_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_50JLP_2017-12-01_final
2017-12-02 11:34:20	ga_s2bm_ard_3-2-1_50JQN_2017-12-02_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50JPQ_2017-12-05_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HMJ_2017-12-25_final
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HLH_2018-01-07_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50JPL_2018-01-24_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HMJ_2018-02-06_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49KGP_2018-02-19_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50KKU_2018-03-21_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49KHQ_2018-04-10_final
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2018-05-03_final
2018-05-10 12:05:05	ga_s2bm_ard_3-2-1_50JLP_2018-05-10_final
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50JQN_2018-06-13_final
2018-07-02 12:13:20	ga_s2bm_ard_3-2-1_49KGR_2018-07-02_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_50HPG_2018-08-09_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50HNG_2018-08-12_final.stac-item
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50HLJ_2018-08-15_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50HLH_2018-08-25_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50JNM_2018-09-11_final
2018-12-03 11:57:18	ga_s2bm_ard_3-2-1_50HLG_2018-12-03_final.stac-item
2019-02-14 12:03:26	ga_s2bm_ard_3-2-1_50KLC_2019-02-14_final
2019-03-16 12:03:24	ga_s2bm_ard_3-2-1_50KLC_2019-03-16_final
2019-05-26 11:36:42	ga_s2bm_ard_3-2-1_50HQK_2019-05-26_final
2019-06-18 11:46:41	ga_s2bm_ard_3-2-1_50HPK_2019-06-18_final
2019-06-24 12:04:51	ga_s2bm_ard_3-2-1_50JKT_2019-06-24_final
2019-07-14 12:06:04	ga_s2bm_ard_3-2-1_50JKN_2019-07-14_final
2019-07-28 11:47:29	ga_s2bm_ard_3-2-1_50HNG_2019-07-28_final.stac-item
2019-10-02 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2019-10-02_final
2019-10-05 12:14:07	ga_s2bm_ard_3-2-1_49KGR_2019-10-05_final
2019-10-22 12:04:00	ga_s2bm_ard_3-2-1_50KKA_2019-10-22_final
2019-12-08 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2019-12-08_final
2020-01-20 12:03:17	ga_s2bm_ard_3-2-1_50KMC_2020-01-20_final
2020-01-27 11:56:11	ga_s2bm_ard_3-2-1_50JNL_2020-01-27_final
2020-01-27 11:56:23	ga_s2bm_ard_3-2-1_50HNK_2020-01-27_final
2020-02-13 11:46:08	ga_s2bm_ard_3-2-1_50JMM_2020-02-13_final
2020-02-16 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2020-02-16_final
2020-02-19 12:04:53	ga_s2bm_ard_3-2-1_50JKS_2020-02-19_final
2020-02-23 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2020-02-23_final
2020-03-10 12:03:53	ga_s2bm_ard_3-2-1_50KLA_2020-03-10_final
2020-03-20 12:04:52	ga_s2bm_ard_3-2-1_50JLS_2020-03-20_final
2020-04-19 12:04:52	ga_s2bm_ard_3-2-1_49JHM_2020-04-19_final
2020-05-02 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2020-05-02_final
2020-05-29 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2020-05-29_final
2020-05-30 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2020-05-30_final
2020-06-19 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2020-06-19_final
2020-06-21 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2020-06-21_final
2020-07-18 12:04:44	ga_s2bm_ard_3-2-1_50JKT_2020-07-18_final
2020-09-06 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2020-09-06_final
2020-09-06 12:04:44	ga_s2bm_ard_3-2-1_50JKT_2020-09-06_final
2020-12-05 12:03:57	ga_s2bm_ard_3-2-1_50KKA_2020-12-05_final
2020-12-12 11:56:15	ga_s2bm_ard_3-2-1_50JNL_2020-12-12_final
2020-12-26 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2020-12-26_final
2021-01-14 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2021-01-14_final
2021-01-24 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2021-01-24_final
2021-02-16 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2021-02-16_final
2021-02-20 11:56:16	ga_s2bm_ard_3-2-1_50JNL_2021-02-20_final
2021-03-15 12:03:40	ga_s2bm_ard_3-2-1_50KLB_2021-03-15_final
2021-04-17 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2021-04-17_final
2021-05-14 12:04:19	ga_s2bm_ard_3-2-1_50KKV_2021-05-14_final
2021-09-05 11:46:19	ga_s2bm_ard_3-2-1_50JNL_2021-09-05_final
2021-12-03 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2021-12-03_final
2021-12-30 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2021-12-30_final
2022-01-03 11:46:24	ga_s2bm_ard_3-2-1_50JML_2022-01-03_final
2022-01-22 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2022-01-22_final
2022-03-17 11:53:45	ga_s2bm_ard_3-2-1_50KNB_2022-03-17_final
2022-03-17 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2022-03-17_final
2022-04-19 12:03:36	ga_s2bm_ard_3-2-1_50KLB_2022-04-19_final
2022-05-23 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2022-05-23_final.stac-item
2022-06-21 12:15:15	ga_s2bm_ard_3-2-1_49JGL_2022-06-21_final
2022-06-22 11:44:35	ga_s2bm_ard_3-2-1_50JRT_2022-06-22_final
2022-06-28 12:04:44	ga_s2bm_ard_3-2-1_50JKT_2022-06-28_final
2022-07-11 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2022-07-11_final
2022-07-12 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2022-07-12_final.stac-item
2022-07-28 12:03:46	ga_s2bm_ard_3-2-1_50KLB_2022-07-28_final
2022-08-07 12:03:27	ga_s2bm_ard_3-2-1_50KMC_2022-08-07_final
2022-08-07 12:05:42	ga_s2bm_ard_3-2-1_50JLP_2022-08-07_final
2022-08-17 12:03:43	ga_s2bm_ard_3-2-1_50KLB_2022-08-17_final
2022-08-24 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2022-08-24_final
2022-10-16 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2022-10-16_final.stac-item
2022-10-26 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2022-10-26_final.stac-item
2022-12-15 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2022-12-15_final.stac-item
2023-01-31 11:54:55	ga_s2bm_ard_3-2-1_50JLS_2023-01-31_final.stac-item
2023-03-15 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2023-03-15_final.stac-item
2023-04-01 11:54:41	ga_s2bm_ard_3-2-1_50JNT_2023-04-01_final.stac-item
2023-04-11 11:53:32	ga_s2bm_ard_3-2-1_50KMC_2023-04-11_final.stac-item
2023-05-11 11:56:07	ga_s2bm_ard_3-2-1_50JNM_2023-05-11_final.stac-item
2023-05-17 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2023-05-17_final.stac-item
2023-05-18 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2023-05-18_final.stac-item
2023-06-20 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2023-06-20_final.stac-item
2023-06-24 11:36:38	ga_s2bm_ard_3-2-1_50HQK_2023-06-24_final.stac-item
2023-08-22 12:03:28	ga_s2bm_ard_3-2-1_50KMC_2023-08-22_final.stac-item
2023-10-08 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2023-10-08_final.stac-item
2023-10-28 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2023-10-28_final.stac-item
2023-12-24 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2023-12-24_final.stac-item
2024-01-10 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2024-01-10_final.stac-item
2024-02-02 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2024-02-02_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