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
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_51JWJ_2017-07-12_final
2017-07-19 11:12:01	ga_s2bm_ard_3-2-1_51KZR_2017-07-19_final
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50KMC_2017-09-09_final
2017-09-27 11:12:00	ga_s2bm_ard_3-2-1_52KDB_2017-09-27_final
2017-10-08 10:37:12	ga_s2bm_ard_3-2-1_53KPA_2017-10-08_final
2017-10-11 10:52:02	ga_s2bm_ard_3-2-1_52KHD_2017-10-11_final
2017-10-11 10:52:02	ga_s2bm_ard_3-2-1_53KMR_2017-10-11_final
2017-11-13 11:02:45	ga_s2bm_ard_3-2-1_52JDQ_2017-11-13_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51HUD_2017-12-29_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_52KCB_2018-01-28_final
2018-02-01 10:57:09	ga_s2bm_ard_3-2-1_52LHK_2018-02-01_final
2018-04-03 10:27:04	ga_s2bm_ard_3-2-1_53HPA_2018-04-03_final
2018-04-09 10:50:37	ga_s2bm_ard_3-2-1_53JKF_2018-04-09_final
2018-05-06 10:37:26	ga_s2bm_ard_3-2-1_53JPL_2018-05-06_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51KUR_2018-06-10_final
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51HUC_2018-06-27_final
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50JMM_2018-08-15_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53JNN_2018-08-31_final
2018-11-05 10:53:12	ga_s2bm_ard_3-2-1_53KMR_2018-11-05_final
2018-12-16 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2018-12-16_final
2019-02-17 10:35:15	ga_s2bm_ard_3-2-1_53JMJ_2019-02-17_final
2019-06-08 11:45:58	ga_s2bm_ard_3-2-1_50JPN_2019-06-08_final
2019-06-26 11:03:16	ga_s2bm_ard_3-2-1_53KKS_2019-06-26_final
2019-07-02 11:24:41	ga_s2bm_ard_3-2-1_51JZM_2019-07-02_final
2019-07-03 10:53:08	ga_s2bm_ard_3-2-1_52KHC_2019-07-03_final
2019-09-07 11:13:06	ga_s2bm_ard_3-2-1_52KDC_2019-09-07_final
2019-10-16 11:42:10	ga_s2bm_ard_3-2-1_51KWB_2019-10-16_final
2019-11-02 11:34:08	ga_s2bm_ard_3-2-1_51KVQ_2019-11-02_final
2019-11-15 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2019-11-15_final
2019-11-19 11:22:46	ga_s2bm_ard_3-2-1_52KCD_2019-11-19_final
2019-12-18 11:53:16	ga_s2bm_ard_3-2-1_50KPC_2019-12-18_final
2019-12-19 11:26:13	ga_s2bm_ard_3-2-1_51JUF_2019-12-19_final
2020-01-08 11:21:19	ga_s2bm_ard_3-2-1_52LBK_2020-01-08_final
2020-03-08 11:21:57	ga_s2bm_ard_3-2-1_51LYC_2020-03-08_final
2020-04-07 11:23:47	ga_s2bm_ard_3-2-1_52KBV_2020-04-07_final
2020-05-02 10:34:10	ga_s2bm_ard_3-2-1_53JRM_2020-05-02_final
2020-05-14 11:13:24	ga_s2bm_ard_3-2-1_52KBB_2020-05-14_final
2020-06-02 11:44:47	ga_s2bm_ard_3-2-1_51JTM_2020-06-02_final
2020-07-01 10:35:58	ga_s2bm_ard_3-2-1_53JMF_2020-07-01_final
2020-08-18 11:31:33	ga_s2bm_ard_3-2-1_52LBJ_2020-08-18_final
2020-08-26 10:54:51	ga_s2bm_ard_3-2-1_52JFR_2020-08-26_final
2020-09-09 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2020-09-09_final
2020-09-10 11:43:06	ga_s2bm_ard_3-2-1_51KTU_2020-09-10_final
2020-09-14 11:23:52	ga_s2bm_ard_3-2-1_51KZQ_2020-09-14_final
2020-11-02 11:53:13	ga_s2bm_ard_3-2-1_50KRC_2020-11-02_final
2020-11-15 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2020-11-15_final
2021-01-18 11:40:57	ga_s2bm_ard_3-2-1_51LWG_2021-01-18_final.stac-item
2021-01-28 11:41:55	ga_s2bm_ard_3-2-1_51LWC_2021-01-28_final
2021-02-22 10:52:26	ga_s2bm_ard_3-2-1_53KLV_2021-02-22_final
2021-03-03 11:24:43	ga_s2bm_ard_3-2-1_51JWM_2021-03-03_final
2021-04-08 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2021-04-08_final
2021-04-29 11:10:20	ga_s2bm_ard_3-2-1_52LHN_2021-04-29_final
2021-05-31 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2021-05-31_final
2021-06-11 11:25:17	ga_s2bm_ard_3-2-1_51JVK_2021-06-11_final
2021-08-16 11:44:51	ga_s2bm_ard_3-2-1_51JUL_2021-08-16_final
2021-09-04 10:34:36	ga_s2bm_ard_3-2-1_53JNL_2021-09-04_final
2021-09-15 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2021-09-15_final
2021-10-29 11:23:37	ga_s2bm_ard_3-2-1_51KZR_2021-10-29_final
2021-11-28 11:23:45	ga_s2bm_ard_3-2-1_52KBV_2021-11-28_final
2021-12-25 11:12:37	ga_s2bm_ard_3-2-1_52KFD_2021-12-25_final
2022-02-12 11:43:23	ga_s2bm_ard_3-2-1_51KUS_2022-02-12_final
2022-03-01 11:32:29	ga_s2bm_ard_3-2-1_51KVA_2022-03-01_final
2022-04-10 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2022-04-10_final
2022-05-13 11:42:07	ga_s2bm_ard_3-2-1_51KWB_2022-05-13_final
2022-06-09 11:32:34	ga_s2bm_ard_3-2-1_51KVA_2022-06-09_final
2022-06-23 11:14:21	ga_s2bm_ard_3-2-1_52JDT_2022-06-23_final
2022-06-27 10:52:10	ga_s2bm_ard_3-2-1_53KNA_2022-06-27_final
2022-06-30 11:06:29	ga_s2bm_ard_3-2-1_52HBK_2022-06-30_final
2022-08-28 11:36:24	ga_s2bm_ard_3-2-1_51HVE_2022-08-28_final
2022-08-31 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2022-08-31_final
2022-09-08 11:05:14	ga_s2bm_ard_3-2-1_52JFP_2022-09-08_final.stac-item
2022-09-29 10:36:58	ga_s2bm_ard_3-2-1_53HPA_2022-09-29_final.stac-item
2022-10-28 11:04:17	ga_s2bm_ard_3-2-1_52JET_2022-10-28_final.stac-item
2022-10-30 11:44:33	ga_s2bm_ard_3-2-1_50JQT_2022-10-30_final.stac-item
2022-11-14 10:52:45	ga_s2bm_ard_3-2-1_53KNT_2022-11-14_final.stac-item
2022-11-17 11:02:10	ga_s2bm_ard_3-2-1_53KKA_2022-11-17_final.stac-item
2022-11-17 11:02:15	ga_s2bm_ard_3-2-1_52KGF_2022-11-17_final.stac-item
2022-11-24 10:53:57	ga_s2bm_ard_3-2-1_53KKP_2022-11-24_final.stac-item
2023-01-06 11:03:51	ga_s2bm_ard_3-2-1_52KDV_2023-01-06_final.stac-item
2023-03-10 11:13:58	ga_s2bm_ard_3-2-1_51KZQ_2023-03-10_final.stac-item
2023-03-10 11:16:10	ga_s2bm_ard_3-2-1_52JBL_2023-03-10_final.stac-item
2023-04-24 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2023-04-24_final.stac-item
2023-04-29 11:13:17	ga_s2bm_ard_3-2-1_52KEB_2023-04-29_final.stac-item
2023-06-02 10:55:58	ga_s2bm_ard_3-2-1_53JKF_2023-06-02_final.stac-item
2023-06-03 12:06:14	ga_s2bm_ard_3-2-1_50JKM_2023-06-03_final.stac-item
2023-06-04 11:32:15	ga_s2bm_ard_3-2-1_51KXB_2023-06-04_final.stac-item
2023-06-07 11:44:03	ga_s2bm_ard_3-2-1_51KUQ_2023-06-07_final.stac-item
2023-07-09 10:43:46	ga_s2bm_ard_3-2-1_53KMQ_2023-07-09_final.stac-item
2023-07-30 11:56:28	ga_s2bm_ard_3-2-1_50JML_2023-07-30_final.stac-item
2023-10-09 11:23:07	ga_s2bm_ard_3-2-1_52KBC_2023-10-09_final.stac-item
2023-10-13 11:03:37	ga_s2bm_ard_3-2-1_52KEA_2023-10-13_final.stac-item
2023-10-25 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2023-10-25_final.stac-item
2023-10-28 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2023-10-28_final.stac-item
2024-01-04 11:13:13	ga_s2bm_ard_3-2-1_52KBC_2024-01-04_final.stac-item
2024-01-12 10:34:37	ga_s2bm_ard_3-2-1_53JNL_2024-01-12_final.stac-item
2024-01-18 10:52:30	ga_s2bm_ard_3-2-1_52KHE_2024-01-18_final.stac-item
2024-01-23 11:41:58	ga_s2bm_ard_3-2-1_51LVC_2024-01-23_final.stac-item
2024-02-02 11:41:33	ga_s2bm_ard_3-2-1_51LUE_2024-02-02_final.stac-item
2024-03-08 10:52:21	ga_s2bm_ard_3-2-1_53KLV_2024-03-08_final.stac-item
2024-03-11 11:02:37	ga_s2bm_ard_3-2-1_53KKU_2024-03-11_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