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
2017-11-09 11:19:31	ga_s2bm_ard_3-2-1_51JVK_2017-11-09_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51LWC_2017-12-15_final
2017-12-16 11:07:00	ga_s2bm_ard_3-2-1_51HXD_2017-12-16_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_50JKM_2017-12-31_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51KYQ_2018-01-28_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JUN_2018-01-31_final
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51KUU_2018-02-03_final
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_52JCL_2018-05-25_final
2018-07-20 11:35:23	ga_s2bm_ard_3-2-1_51JTJ_2018-07-20_final
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_51JXH_2018-07-24_final
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HQJ_2018-10-31_final
2018-11-14 11:26:41	ga_s2bm_ard_3-2-1_51HVD_2018-11-14_final
2018-11-18 11:06:21	ga_s2bm_ard_3-2-1_52HBK_2018-11-18_final
2018-12-04 11:23:05	ga_s2bm_ard_3-2-1_51KYT_2018-12-04_final
2018-12-16 12:06:04	ga_s2bm_ard_3-2-1_50JKM_2018-12-16_final
2019-01-02 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2019-01-02_final
2019-03-14 11:24:34	ga_s2bm_ard_3-2-1_51JYM_2019-03-14_final
2019-03-21 11:15:36	ga_s2bm_ard_3-2-1_52JBN_2019-03-21_final
2019-06-07 12:14:02	ga_s2bm_ard_3-2-1_50KKA_2019-06-07_final
2019-06-09 11:15:15	ga_s2bm_ard_3-2-1_52JBQ_2019-06-09_final
2019-06-15 11:36:24	ga_s2bm_ard_3-2-1_51JTF_2019-06-15_final
2019-07-05 11:36:51	ga_s2bm_ard_3-2-1_51HUD_2019-07-05_final
2019-07-12 11:26:49	ga_s2bm_ard_3-2-1_51HWD_2019-07-12_final
2019-10-06 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2019-10-06_final
2020-01-08 11:24:03	ga_s2bm_ard_3-2-1_51KYP_2020-01-08_final
2020-03-01 11:32:48	ga_s2bm_ard_3-2-1_51KYU_2020-03-01_final
2020-03-14 11:46:13	ga_s2bm_ard_3-2-1_50JQL_2020-03-14_final
2020-03-21 11:33:28	ga_s2bm_ard_3-2-1_51KVS_2020-03-21_final
2020-05-09 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2020-05-09_final
2020-05-20 11:32:11	ga_s2bm_ard_3-2-1_51KXB_2020-05-20_final
2020-05-27 11:23:44	ga_s2bm_ard_3-2-1_51KXR_2020-05-27_final
2020-09-10 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2020-09-10_final
2020-09-17 11:36:48	ga_s2bm_ard_3-2-1_51HTD_2020-09-17_final
2020-09-18 11:05:39	ga_s2bm_ard_3-2-1_52JCN_2020-09-18_final
2020-09-20 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2020-09-20_final
2020-10-23 11:56:17	ga_s2bm_ard_3-2-1_50JKM_2020-10-23_final
2020-11-28 12:13:39	ga_s2bm_ard_3-2-1_50KKB_2020-11-28_final
2020-12-26 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2020-12-26_final
2021-01-08 11:43:50	ga_s2bm_ard_3-2-1_50KQA_2021-01-08_final
2021-02-03 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2021-02-03_final
2021-03-13 11:25:05	ga_s2bm_ard_3-2-1_51JYK_2021-03-13_final
2021-03-19 11:43:32	ga_s2bm_ard_3-2-1_50KRB_2021-03-19_final
2021-03-23 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2021-03-23_final
2021-05-24 12:03:33	ga_s2bm_ard_3-2-1_50KNB_2021-05-24_final
2021-05-27 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2021-05-27_final
2021-05-29 11:16:45	ga_s2bm_ard_3-2-1_51HWD_2021-05-29_final
2021-06-11 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2021-06-11_final
2021-06-14 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2021-06-14_final
2021-06-21 11:25:21	ga_s2bm_ard_3-2-1_51JYJ_2021-06-21_final
2021-07-04 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2021-07-04_final
2021-07-31 11:25:15	ga_s2bm_ard_3-2-1_51JWK_2021-07-31_final
2021-08-12 12:04:21	ga_s2bm_ard_3-2-1_50KKV_2021-08-12_final
2021-08-29 11:55:51	ga_s2bm_ard_3-2-1_50JMN_2021-08-29_final
2021-10-09 11:26:23	ga_s2bm_ard_3-2-1_51HXE_2021-10-09_final
2021-10-12 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2021-10-12_final
2021-10-19 11:26:09	ga_s2bm_ard_3-2-1_51JXF_2021-10-19_final
2021-12-30 12:03:54	ga_s2bm_ard_3-2-1_50KKA_2021-12-30_final
2021-12-30 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2021-12-30_final
2022-01-17 11:23:57	ga_s2bm_ard_3-2-1_51KWQ_2022-01-17_final
2022-01-31 11:04:37	ga_s2bm_ard_3-2-1_52JFR_2022-01-31_final
2022-02-12 11:44:25	ga_s2bm_ard_3-2-1_51JTN_2022-02-12_final
2022-03-02 11:05:45	ga_s2bm_ard_3-2-1_52JDM_2022-03-02_final
2022-03-02 11:06:07	ga_s2bm_ard_3-2-1_52JBL_2022-03-02_final
2022-03-04 11:42:06	ga_s2bm_ard_3-2-1_51KWB_2022-03-04_final
2022-03-18 11:21:38	ga_s2bm_ard_3-2-1_51LZD_2022-03-18_final
2022-04-27 11:24:01	ga_s2bm_ard_3-2-1_51KYP_2022-04-27_final
2022-04-27 11:26:19	ga_s2bm_ard_3-2-1_51HWE_2022-04-27_final
2022-04-28 10:54:40	ga_s2bm_ard_3-2-1_52JFR_2022-04-28_final
2022-06-08 12:06:11	ga_s2bm_ard_3-2-1_50JKM_2022-06-08_final
2022-07-16 11:24:02	ga_s2bm_ard_3-2-1_51KXQ_2022-07-16_final
2022-07-30 11:05:50	ga_s2bm_ard_3-2-1_52JEM_2022-07-30_final
2022-08-01 11:44:36	ga_s2bm_ard_3-2-1_51JTN_2022-08-01_final
2022-08-02 11:16:41	ga_s2bm_ard_3-2-1_51HYD_2022-08-02_final
2022-09-04 11:25:22	ga_s2bm_ard_3-2-1_51JYJ_2022-09-04_final.stac-item
2022-09-04 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2022-09-04_final.stac-item
2022-09-24 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2022-09-24_final.stac-item
2022-10-28 11:06:23	ga_s2bm_ard_3-2-1_52HBK_2022-10-28_final.stac-item
2022-10-30 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2022-10-30_final.stac-item
2022-12-29 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2022-12-29_final.stac-item
2023-01-05 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2023-01-05_final.stac-item
2023-02-04 11:34:08	ga_s2bm_ard_3-2-1_51KWP_2023-02-04_final.stac-item
2023-03-26 11:33:59	ga_s2bm_ard_3-2-1_51KWQ_2023-03-26_final.stac-item
2023-03-26 11:35:18	ga_s2bm_ard_3-2-1_51JUK_2023-03-26_final.stac-item
2023-03-27 11:06:06	ga_s2bm_ard_3-2-1_52JDL_2023-03-27_final.stac-item
2023-04-19 11:14:54	ga_s2bm_ard_3-2-1_52JBR_2023-04-19_final.stac-item
2023-05-02 11:23:38	ga_s2bm_ard_3-2-1_51KZR_2023-05-02_final.stac-item
2023-05-29 11:16:06	ga_s2bm_ard_3-2-1_52JCL_2023-05-29_final.stac-item
2023-06-20 11:53:29	ga_s2bm_ard_3-2-1_50KNC_2023-06-20_final.stac-item
2023-07-01 11:23:41	ga_s2bm_ard_3-2-1_51KZR_2023-07-01_final.stac-item
2023-07-24 11:34:21	ga_s2bm_ard_3-2-1_51JXN_2023-07-24_final.stac-item
2023-08-31 10:56:05	ga_s2bm_ard_3-2-1_52JFL_2023-08-31_final.stac-item
2023-09-24 12:15:22	ga_s2bm_ard_3-2-1_49JGK_2023-09-24_final.stac-item
2023-10-22 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2023-10-22_final.stac-item
2023-10-22 11:33:04	ga_s2bm_ard_3-2-1_51KYT_2023-10-22_final.stac-item
2023-12-20 12:03:18	ga_s2bm_ard_3-2-1_50KMC_2023-12-20_final.stac-item
2023-12-31 11:35:57	ga_s2bm_ard_3-2-1_50JQN_2023-12-31_final.stac-item
2024-03-04 11:13:50	ga_s2bm_ard_3-2-1_51KZQ_2024-03-04_final.stac-item
2024-03-10 11:34:24	ga_s2bm_ard_3-2-1_51JVN_2024-03-10_final.stac-item
2024-03-13 11:43:55	ga_s2bm_ard_3-2-1_51KUQ_2024-03-13_final.stac-item
2024-03-13 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2024-03-13_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