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
2017-07-19 11:12:01	ga_s2bm_ard_3-2-1_52KEB_2017-07-19_final
2017-08-21 11:18:37	ga_s2bm_ard_3-2-1_51KWQ_2017-08-21_final
2017-11-06 11:06:59	ga_s2bm_ard_3-2-1_52LFM_2017-11-06_final.stac-item
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KVB_2018-01-01_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51JVF_2018-01-21_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KWA_2018-02-20_final
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_53JLM_2018-03-10_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KXU_2018-05-11_final
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53JPL_2018-05-23_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51HTC_2018-06-10_final
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_51KWQ_2018-06-17_final
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_52KBB_2018-06-17_final
2018-06-19 10:26:12	ga_s2bm_ard_3-2-1_53HQB_2018-06-19_final
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_52KBV_2018-08-06_final
2018-10-16 10:52:07	ga_s2bm_ard_3-2-1_52JEM_2018-10-16_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KWQ_2018-10-18_final
2018-10-23 10:41:55	ga_s2bm_ard_3-2-1_53JPM_2018-10-23_final
2018-11-17 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2018-11-17_final
2018-11-29 10:34:00	ga_s2bm_ard_3-2-1_53JQN_2018-11-29_final
2019-01-31 10:45:47	ga_s2bm_ard_3-2-1_52JGM_2019-01-31_final
2019-03-08 11:05:31	ga_s2bm_ard_3-2-1_52JDN_2019-03-08_final
2019-04-10 11:13:23	ga_s2bm_ard_3-2-1_52KDB_2019-04-10_final
2019-05-20 11:14:03	ga_s2bm_ard_3-2-1_51KZQ_2019-05-20_final
2019-07-15 11:34:19	ga_s2bm_ard_3-2-1_51KWP_2019-07-15_final
2019-09-17 11:13:13	ga_s2bm_ard_3-2-1_52KBC_2019-09-17_final
2019-11-02 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2019-11-02_final
2019-11-20 10:55:52	ga_s2bm_ard_3-2-1_53JKF_2019-11-20_final
2019-12-11 10:26:41	ga_s2bm_ard_3-2-1_53HQB_2019-12-11_final
2020-01-14 11:43:30	ga_s2bm_ard_3-2-1_51KVR_2020-01-14_final
2020-04-10 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2020-04-10_final
2020-04-10 11:33:31	ga_s2bm_ard_3-2-1_51KUS_2020-04-10_final
2020-05-17 11:26:52	ga_s2bm_ard_3-2-1_51HVC_2020-05-17_final
2020-05-19 10:26:40	ga_s2bm_ard_3-2-1_53HNC_2020-05-19_final
2020-06-06 11:22:54	ga_s2bm_ard_3-2-1_51KZU_2020-06-06_final
2020-07-13 11:13:31	ga_s2bm_ard_3-2-1_52KEA_2020-07-13_final
2020-07-18 10:24:41	ga_s2bm_ard_3-2-1_53JQL_2020-07-18_final
2020-08-02 11:13:10	ga_s2bm_ard_3-2-1_52KCC_2020-08-02_final
2020-08-12 11:14:12	ga_s2bm_ard_3-2-1_51KZP_2020-08-12_final
2020-08-21 11:42:20	ga_s2bm_ard_3-2-1_51KUB_2020-08-21_final.stac-item
2020-09-15 10:55:48	ga_s2bm_ard_3-2-1_52JFM_2020-09-15_final
2020-10-19 10:34:29	ga_s2bm_ard_3-2-1_53JNM_2020-10-19_final
2020-10-27 11:33:41	ga_s2bm_ard_3-2-1_51KXR_2020-10-27_final
2020-11-18 10:34:26	ga_s2bm_ard_3-2-1_53JNM_2020-11-18_final
2020-12-06 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2020-12-06_final
2021-01-24 10:26:40	ga_s2bm_ard_3-2-1_53HNC_2021-01-24_final
2021-01-30 10:44:09	ga_s2bm_ard_3-2-1_53JMN_2021-01-30_final
2021-02-14 11:36:45	ga_s2bm_ard_3-2-1_51HTD_2021-02-14_final
2021-02-15 11:01:15	ga_s2bm_ard_3-2-1_52LGK_2021-02-15_final
2021-04-07 10:34:15	ga_s2bm_ard_3-2-1_53JQM_2021-04-07_final
2021-04-09 11:10:40	ga_s2bm_ard_3-2-1_52LGM_2021-04-09_final
2021-05-08 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2021-05-08_final
2021-05-12 11:23:48	ga_s2bm_ard_3-2-1_51KZQ_2021-05-12_final
2021-05-15 11:33:08	ga_s2bm_ard_3-2-1_51KXT_2021-05-15_final
2021-06-24 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2021-06-24_final
2021-07-13 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2021-07-13_final
2021-08-24 11:01:30	ga_s2bm_ard_3-2-1_52LGJ_2021-08-24_final
2021-09-03 11:01:18	ga_s2bm_ard_3-2-1_52LGK_2021-09-03_final
2021-11-07 11:53:21	ga_s2bm_ard_3-2-1_50KPC_2021-11-07_final
2021-11-15 11:12:52	ga_s2bm_ard_3-2-1_52KFC_2021-11-15_final
2021-11-21 11:35:13	ga_s2bm_ard_3-2-1_51JUK_2021-11-21_final
2021-12-01 11:34:06	ga_s2bm_ard_3-2-1_51KWP_2021-12-01_final
2021-12-04 11:42:26	ga_s2bm_ard_3-2-1_51KUA_2021-12-04_final
2022-01-03 11:43:11	ga_s2bm_ard_3-2-1_51KUT_2022-01-03_final
2022-01-10 11:32:54	ga_s2bm_ard_3-2-1_51KWU_2022-01-10_final
2022-02-19 11:33:42	ga_s2bm_ard_3-2-1_51KUR_2022-02-19_final
2022-03-05 11:14:50	ga_s2bm_ard_3-2-1_52JBR_2022-03-05_final
2022-03-18 11:24:02	ga_s2bm_ard_3-2-1_51KZP_2022-03-18_final
2022-03-28 11:21:21	ga_s2bm_ard_3-2-1_52LBK_2022-03-28_final
2022-04-19 10:26:42	ga_s2bm_ard_3-2-1_53HQB_2022-04-19_final.stac-item
2022-06-16 11:23:43	ga_s2bm_ard_3-2-1_51KYR_2022-06-16_final
2022-06-26 11:24:07	ga_s2bm_ard_3-2-1_51KWQ_2022-06-26_final
2022-07-09 11:33:43	ga_s2bm_ard_3-2-1_51KXR_2022-07-09_final
2022-07-31 10:36:15	ga_s2bm_ard_3-2-1_53HME_2022-07-31_final
2022-08-08 11:34:04	ga_s2bm_ard_3-2-1_51KVQ_2022-08-08_final
2022-10-05 10:55:37	ga_s2bm_ard_3-2-1_53JKG_2022-10-05_final.stac-item
2022-11-03 11:23:22	ga_s2bm_ard_3-2-1_51KYS_2022-11-03_final.stac-item
2023-01-29 11:15:05	ga_s2bm_ard_3-2-1_52JBQ_2023-01-29_final.stac-item
2023-03-06 11:33:48	ga_s2bm_ard_3-2-1_51KVR_2023-03-06_final.stac-item
2023-03-11 10:44:14	ga_s2bm_ard_3-2-1_53JMN_2023-03-11_final.stac-item
2023-04-02 11:23:46	ga_s2bm_ard_3-2-1_51KXR_2023-04-02_final.stac-item
2023-04-02 11:27:05	ga_s2bm_ard_3-2-1_51HUC_2023-04-02_final.stac-item
2023-05-18 11:43:01	ga_s2bm_ard_3-2-1_51KVU_2023-05-18_final.stac-item
2023-05-25 11:32:30	ga_s2bm_ard_3-2-1_51KXA_2023-05-25_final.stac-item
2023-07-05 11:03:40	ga_s2bm_ard_3-2-1_52KEA_2023-07-05_final.stac-item
2023-07-06 10:35:06	ga_s2bm_ard_3-2-1_53JQJ_2023-07-06_final.stac-item
2023-08-30 11:23:11	ga_s2bm_ard_3-2-1_52KBC_2023-08-30_final.stac-item
2023-09-07 10:46:05	ga_s2bm_ard_3-2-1_53HME_2023-09-07_final.stac-item
2023-09-09 11:27:06	ga_s2bm_ard_3-2-1_51HUC_2023-09-09_final.stac-item
2023-09-14 10:35:04	ga_s2bm_ard_3-2-1_53JQJ_2023-09-14_final.stac-item
2023-09-19 11:23:53	ga_s2bm_ard_3-2-1_52KBV_2023-09-19_final.stac-item
2023-10-16 11:10:27	ga_s2bm_ard_3-2-1_52LHN_2023-10-16_final.stac-item
2023-10-19 11:24:17	ga_s2bm_ard_3-2-1_51KWP_2023-10-19_final.stac-item
2023-11-23 10:34:23	ga_s2bm_ard_3-2-1_53JPM_2023-11-23_final.stac-item
2023-12-04 11:43:09	ga_s2bm_ard_3-2-1_51KVT_2023-12-04_final.stac-item
2024-01-21 11:01:49	ga_s2bm_ard_3-2-1_52LFH_2024-01-21_final.stac-item
2024-02-16 11:24:05	ga_s2bm_ard_3-2-1_52KBU_2024-02-16_final.stac-item
2024-03-03 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2024-03-03_final.stac-item
2024-04-02 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2024-04-02_final.stac-item
2024-05-12 11:42:17	ga_s2bm_ard_3-2-1_51KUB_2024-05-12_final.stac-item
2024-05-20 11:00:29	ga_s2bm_ard_3-2-1_52LHN_2024-05-20_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