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 11:25:03	ga_s2bm_ard_3-2-1_51JYJ_2017-11-09_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51HTD_2017-11-12_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51HUC_2017-11-12_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KWT_2017-12-12_final
2017-12-16 11:07:00	ga_s2bm_ard_3-2-1_51KZQ_2017-12-16_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JWH_2017-12-29_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50KNA_2018-01-17_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51HTD_2018-02-20_final
2018-04-15 11:13:22	ga_s2bm_ard_3-2-1_52HBK_2018-04-15_final
2018-05-10 12:05:05	ga_s2bm_ard_3-2-1_50JKM_2018-05-10_final
2018-06-23 11:37:58	ga_s2bm_ard_3-2-1_51KUV_2018-06-23_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JMM_2018-06-26_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JNQ_2018-07-03_final
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50KPU_2018-07-06_final
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51JXH_2018-07-07_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50JMM_2018-10-01_final
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_49JGL_2018-10-07_final
2018-11-17 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2018-11-17_final
2018-12-07 11:32:53	ga_s2bm_ard_3-2-1_51KWU_2018-12-07_final
2019-01-16 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2019-01-16_final
2019-01-16 11:34:43	ga_s2bm_ard_3-2-1_51JVM_2019-01-16_final
2019-04-06 11:32:23	ga_s2bm_ard_3-2-1_51KVB_2019-04-06_final
2019-04-12 11:53:40	ga_s2bm_ard_3-2-1_50KPB_2019-04-12_final
2019-04-26 11:32:07	ga_s2bm_ard_3-2-1_51LWC_2019-04-26_final
2019-05-19 11:43:38	ga_s2bm_ard_3-2-1_51KUS_2019-05-19_final
2019-05-30 11:15:38	ga_s2bm_ard_3-2-1_51JXJ_2019-05-30_final
2019-06-08 11:45:32	ga_s2bm_ard_3-2-1_50JNQ_2019-06-08_final
2019-07-01 11:56:26	ga_s2bm_ard_3-2-1_50JNL_2019-07-01_final
2019-07-12 11:24:49	ga_s2bm_ard_3-2-1_51JXM_2019-07-12_final
2019-08-14 11:36:58	ga_s2bm_ard_3-2-1_50HPJ_2019-08-14_final
2019-08-25 11:06:15	ga_s2bm_ard_3-2-1_52JBL_2019-08-25_final
2019-09-03 11:36:49	ga_s2bm_ard_3-2-1_51HTD_2019-09-03_final
2019-10-17 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2019-10-17_final
2019-10-20 11:25:00	ga_s2bm_ard_3-2-1_51JWL_2019-10-20_final
2019-11-23 11:05:05	ga_s2bm_ard_3-2-1_52JCQ_2019-11-23_final
2019-12-13 11:06:31	ga_s2bm_ard_3-2-1_51HYD_2019-12-13_final
2020-01-07 11:52:14	ga_s2bm_ard_3-2-1_50KQG_2020-01-07_final.stac-item
2020-01-11 11:34:12	ga_s2bm_ard_3-2-1_51KUP_2020-01-11_final
2020-03-11 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2020-03-11_final
2020-03-17 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2020-03-17_final
2020-03-20 12:04:47	ga_s2bm_ard_3-2-1_50JMS_2020-03-20_final
2020-04-17 11:24:25	ga_s2bm_ard_3-2-1_51JWN_2020-04-17_final
2020-04-17 11:25:16	ga_s2bm_ard_3-2-1_51JYJ_2020-04-17_final
2020-05-03 11:41:52	ga_s2bm_ard_3-2-1_51LWC_2020-05-03_final
2020-07-02 11:43:35	ga_s2bm_ard_3-2-1_51KTS_2020-07-02_final
2020-08-11 11:45:28	ga_s2bm_ard_3-2-1_50JNQ_2020-08-11_final
2020-08-11 11:45:48	ga_s2bm_ard_3-2-1_50JNP_2020-08-11_final
2020-09-17 11:36:16	ga_s2bm_ard_3-2-1_51JUF_2020-09-17_final
2020-10-20 11:42:46	ga_s2bm_ard_3-2-1_51KVV_2020-10-20_final
2020-11-23 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2020-11-23_final
2020-12-27 11:05:31	ga_s2bm_ard_3-2-1_52JDN_2020-12-27_final
2021-02-03 12:03:58	ga_s2bm_ard_3-2-1_50KKA_2021-02-03_final
2021-02-03 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2021-02-03_final
2021-02-03 12:05:26	ga_s2bm_ard_3-2-1_50JKQ_2021-02-03_final
2021-02-07 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2021-02-07_final
2021-03-13 11:26:16	ga_s2bm_ard_3-2-1_51JWF_2021-03-13_final
2021-05-04 12:03:38	ga_s2bm_ard_3-2-1_50KLB_2021-05-04_final
2021-05-15 11:34:04	ga_s2bm_ard_3-2-1_51KXP_2021-05-15_final
2021-05-27 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2021-05-27_final
2021-06-24 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2021-06-24_final
2021-08-16 11:42:21	ga_s2bm_ard_3-2-1_51KWA_2021-08-16_final
2021-08-19 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2021-08-19_final
2021-10-09 11:26:15	ga_s2bm_ard_3-2-1_51JVF_2021-10-09_final
2021-10-09 11:26:30	ga_s2bm_ard_3-2-1_51HVE_2021-10-09_final
2021-10-19 11:26:31	ga_s2bm_ard_3-2-1_51HVE_2021-10-19_final
2021-10-22 11:36:01	ga_s2bm_ard_3-2-1_51JUG_2021-10-22_final
2021-11-04 11:44:31	ga_s2bm_ard_3-2-1_50JRT_2021-11-04_final
2021-12-11 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2021-12-11_final
2022-02-12 11:45:01	ga_s2bm_ard_3-2-1_50JPR_2022-02-12_final
2022-02-12 11:45:44	ga_s2bm_ard_3-2-1_50JPN_2022-02-12_final
2022-03-23 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2022-03-23_final
2022-03-28 11:24:12	ga_s2bm_ard_3-2-1_51KWP_2022-03-28_final
2022-04-01 11:06:06	ga_s2bm_ard_3-2-1_52JBL_2022-04-01_final
2022-04-03 11:46:05	ga_s2bm_ard_3-2-1_50JNM_2022-04-03_final
2022-04-13 11:43:08	ga_s2bm_ard_3-2-1_51KVT_2022-04-13_final
2022-04-14 11:15:39	ga_s2bm_ard_3-2-1_51JXH_2022-04-14_final
2022-06-18 12:06:14	ga_s2bm_ard_3-2-1_50JKM_2022-06-18_final
2022-06-19 11:36:56	ga_s2bm_ard_3-2-1_50HPJ_2022-06-19_final
2022-07-22 11:44:50	ga_s2bm_ard_3-2-1_51JTM_2022-07-22_final
2022-08-17 12:05:40	ga_s2bm_ard_3-2-1_50JLP_2022-08-17_final
2022-09-03 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2022-09-03_final.stac-item
2022-09-10 11:45:31	ga_s2bm_ard_3-2-1_51JTJ_2022-09-10_final.stac-item
2022-10-13 11:54:12	ga_s2bm_ard_3-2-1_50KQU_2022-10-13_final.stac-item
2022-11-19 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2022-11-19_final.stac-item
2022-12-16 11:34:09	ga_s2bm_ard_3-2-1_51KWP_2022-12-16_final.stac-item
2023-01-21 11:54:20	ga_s2bm_ard_3-2-1_50KNU_2023-01-21_final.stac-item
2023-01-25 11:35:35	ga_s2bm_ard_3-2-1_50JQP_2023-01-25_final.stac-item
2023-02-21 11:23:10	ga_s2bm_ard_3-2-1_51KYT_2023-02-21_final.stac-item
2023-04-12 11:24:20	ga_s2bm_ard_3-2-1_51JZN_2023-04-12_final.stac-item
2023-06-21 11:24:48	ga_s2bm_ard_3-2-1_52JBR_2023-06-21_final.stac-item
2023-09-02 11:36:15	ga_s2bm_ard_3-2-1_51JVF_2023-09-02_final.stac-item
2023-09-15 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2023-09-15_final.stac-item
2023-09-19 11:27:05	ga_s2bm_ard_3-2-1_51HUC_2023-09-19_final.stac-item
2023-10-09 11:23:26	ga_s2bm_ard_3-2-1_51KYS_2023-10-09_final.stac-item
2024-01-14 11:16:39	ga_s2bm_ard_3-2-1_51HXD_2024-01-14_final.stac-item
2024-01-24 11:15:50	ga_s2bm_ard_3-2-1_52JBM_2024-01-24_final.stac-item
2024-04-03 11:14:22	ga_s2bm_ard_3-2-1_51JZN_2024-04-03_final.stac-item
2024-04-11 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2024-04-11_final.stac-item
2024-04-13 11:15:30	ga_s2bm_ard_3-2-1_51JXJ_2024-04-13_final.stac-item
2024-05-22 11:43:09	ga_s2bm_ard_3-2-1_51KUT_2024-05-22_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