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
2017-07-30 10:43:07	ga_s2bm_ard_3-2-1_53JNN_2017-07-30_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HMG_2017-12-15_final.stac-item
2018-02-12 10:31:32	ga_s2bm_ard_3-2-1_53HNE_2018-02-12_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KVU_2018-02-20_final
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51KYT_2018-02-27_final
2018-03-18 10:16:09	ga_s2bm_ard_3-2-1_54HTJ_2018-03-18_final
2018-04-25 11:07:11	ga_s2bm_ard_3-2-1_52LFN_2018-04-25_final.stac-item
2018-05-30 10:17:02	ga_s2bm_ard_3-2-1_53JRM_2018-05-30_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_50HQG_2018-09-28_final.stac-item
2018-10-16 10:47:22	ga_s2bm_ard_3-2-1_53LMG_2018-10-16_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KXQ_2018-10-28_final
2018-11-05 10:53:12	ga_s2bm_ard_3-2-1_53JKG_2018-11-05_final
2018-11-17 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2018-11-17_final
2018-12-27 11:32:47	ga_s2bm_ard_3-2-1_51KYU_2018-12-27_final
2019-01-06 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2019-01-06_final
2019-01-19 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2019-01-19_final
2019-02-05 11:33:09	ga_s2bm_ard_3-2-1_51KXT_2019-02-05_final
2019-04-09 10:07:26	ga_s2bm_ard_3-2-1_54HXD_2019-04-09_final
2019-04-13 11:23:55	ga_s2bm_ard_3-2-1_51KZQ_2019-04-13_final
2019-05-16 11:33:36	ga_s2bm_ard_3-2-1_51KWS_2019-05-16_final
2019-07-04 10:26:41	ga_s2bm_ard_3-2-1_53HQC_2019-07-04_final
2019-07-17 10:33:54	ga_s2bm_ard_3-2-1_53KRP_2019-07-17_final
2019-08-24 11:33:27	ga_s2bm_ard_3-2-1_51KUT_2019-08-24_final
2019-08-25 11:03:24	ga_s2bm_ard_3-2-1_52KEB_2019-08-25_final
2019-11-04 10:34:18	ga_s2bm_ard_3-2-1_53JQM_2019-11-04_final
2019-12-04 10:33:54	ga_s2bm_ard_3-2-1_53JRN_2019-12-04_final
2019-12-13 11:06:12	ga_s2bm_ard_3-2-1_52HDK_2019-12-13_final.stac-item
2019-12-19 11:23:38	ga_s2bm_ard_3-2-1_51KXR_2019-12-19_final
2019-12-24 10:34:13	ga_s2bm_ard_3-2-1_53JQM_2019-12-24_final
2019-12-24 10:34:28	ga_s2bm_ard_3-2-1_53JQL_2019-12-24_final
2020-01-05 11:11:29	ga_s2bm_ard_3-2-1_52LEJ_2020-01-05_final
2020-02-13 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2020-02-13_final
2020-02-25 10:44:18	ga_s2bm_ard_3-2-1_53JNM_2020-02-25_final
2020-04-04 11:13:51	ga_s2bm_ard_3-2-1_51KZQ_2020-04-04_final
2020-05-07 11:23:48	ga_s2bm_ard_3-2-1_52KBV_2020-05-07_final
2020-05-23 10:06:50	ga_s2bm_ard_3-2-1_54HYF_2020-05-23_final
2020-06-06 11:23:46	ga_s2bm_ard_3-2-1_52KBV_2020-06-06_final
2020-07-28 10:24:42	ga_s2bm_ard_3-2-1_53JQL_2020-07-28_final
2020-08-07 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2020-08-07_final
2020-08-18 09:57:41	ga_s2bm_ard_3-2-1_54HXC_2020-08-18_final
2020-08-25 11:23:39	ga_s2bm_ard_3-2-1_51KZR_2020-08-25_final
2020-09-12 10:44:23	ga_s2bm_ard_3-2-1_53JNM_2020-09-12_final
2020-09-14 11:24:10	ga_s2bm_ard_3-2-1_51KYP_2020-09-14_final
2020-10-07 11:34:00	ga_s2bm_ard_3-2-1_51KWQ_2020-10-07_final
2020-10-19 10:34:51	ga_s2bm_ard_3-2-1_53JQK_2020-10-19_final
2020-11-09 11:43:02	ga_s2bm_ard_3-2-1_51KUU_2020-11-09_final
2020-12-13 11:23:59	ga_s2bm_ard_3-2-1_51KWQ_2020-12-13_final
2020-12-29 11:42:58	ga_s2bm_ard_3-2-1_51KUU_2020-12-29_final
2021-01-03 10:50:37	ga_s2bm_ard_3-2-1_53LNG_2021-01-03_final
2021-03-03 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2021-03-03_final
2021-05-15 09:57:50	ga_s2bm_ard_3-2-1_54HYB_2021-05-15_final
2021-06-06 10:34:01	ga_s2bm_ard_3-2-1_53JRN_2021-06-06_final
2021-07-30 10:17:27	ga_s2bm_ard_3-2-1_54HVD_2021-07-30_final
2021-08-03 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2021-08-03_final
2021-08-16 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2021-08-16_final
2021-10-22 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2021-10-22_final
2021-10-26 11:13:56	ga_s2bm_ard_3-2-1_52KBV_2021-10-26_final
2021-10-29 11:22:57	ga_s2bm_ard_3-2-1_51KYU_2021-10-29_final
2021-12-18 11:23:43	ga_s2bm_ard_3-2-1_52KBV_2021-12-18_final
2021-12-23 10:33:59	ga_s2bm_ard_3-2-1_53JQN_2021-12-23_final
2022-01-10 11:33:30	ga_s2bm_ard_3-2-1_51KUS_2022-01-10_final
2022-01-13 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2022-01-13_final
2022-01-14 11:13:29	ga_s2bm_ard_3-2-1_52KDA_2022-01-14_final
2022-02-06 11:23:44	ga_s2bm_ard_3-2-1_51KZQ_2022-02-06_final
2022-02-12 11:44:07	ga_s2bm_ard_3-2-1_51KUP_2022-02-12_final
2022-02-14 10:43:42	ga_s2bm_ard_3-2-1_53KPP_2022-02-14_final
2022-02-17 10:50:35	ga_s2bm_ard_3-2-1_53LMG_2022-02-17_final
2022-02-28 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2022-02-28_final
2022-03-19 10:55:40	ga_s2bm_ard_3-2-1_52JGM_2022-03-19_final
2022-03-24 11:42:54	ga_s2bm_ard_3-2-1_51KVU_2022-03-24_final
2022-03-30 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2022-03-30_final
2022-04-07 11:23:17	ga_s2bm_ard_3-2-1_52KBB_2022-04-07_final
2022-04-13 10:07:26	ga_s2bm_ard_3-2-1_54HVD_2022-04-13_final
2022-05-27 11:22:56	ga_s2bm_ard_3-2-1_51KYU_2022-05-27_final
2022-06-21 10:33:50	ga_s2bm_ard_3-2-1_53KRP_2022-06-21_final
2022-10-30 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2022-10-30_final.stac-item
2022-11-11 10:44:16	ga_s2bm_ard_3-2-1_53JPM_2022-11-11_final.stac-item
2022-11-19 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2022-11-19_final.stac-item
2022-12-03 11:23:47	ga_s2bm_ard_3-2-1_51KZQ_2022-12-03_final.stac-item
2022-12-10 11:11:30	ga_s2bm_ard_3-2-1_52LEJ_2022-12-10_final.stac-item
2022-12-19 11:44:12	ga_s2bm_ard_3-2-1_51KUP_2022-12-19_final.stac-item
2023-01-14 10:26:42	ga_s2bm_ard_3-2-1_53HQB_2023-01-14_final.stac-item
2023-01-26 11:00:28	ga_s2bm_ard_3-2-1_52LHN_2023-01-26_final.stac-item
2023-02-28 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2023-02-28_final.stac-item
2023-03-07 11:00:39	ga_s2bm_ard_3-2-1_53LMG_2023-03-07_final.stac-item
2023-05-24 10:24:09	ga_s2bm_ard_3-2-1_53JRN_2023-05-24_final.stac-item
2023-05-27 10:34:37	ga_s2bm_ard_3-2-1_53JQL_2023-05-27_final.stac-item
2023-10-25 11:41:19	ga_s2bm_ard_3-2-1_51LUF_2023-10-25_final.stac-item
2023-11-01 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2023-11-01_final.stac-item
2023-11-18 11:23:37	ga_s2bm_ard_3-2-1_51KYR_2023-11-18_final.stac-item
2023-11-23 10:33:48	ga_s2bm_ard_3-2-1_53KPP_2023-11-23_final.stac-item
2023-11-24 11:43:20	ga_s2bm_ard_3-2-1_51KVS_2023-11-24_final.stac-item
2023-12-03 10:34:01	ga_s2bm_ard_3-2-1_53JQN_2023-12-03_final.stac-item
2023-12-13 10:33:49	ga_s2bm_ard_3-2-1_53KRP_2023-12-13_final.stac-item
2023-12-20 10:26:33	ga_s2bm_ard_3-2-1_53HQC_2023-12-20_final.stac-item
2024-01-11 11:03:32	ga_s2bm_ard_3-2-1_52KEA_2024-01-11_final.stac-item
2024-02-19 11:31:43	ga_s2bm_ard_3-2-1_51LXD_2024-02-19_final.stac-item
2024-02-23 11:10:33	ga_s2bm_ard_3-2-1_52LFN_2024-02-23_final.stac-item
2024-03-27 11:23:35	ga_s2bm_ard_3-2-1_52KBA_2024-03-27_final.stac-item
2024-04-17 10:50:39	ga_s2bm_ard_3-2-1_53LNG_2024-04-17_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