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
2017-07-05 11:27:30	ga_s2bm_ard_3-2-1_51KVU_2017-07-05_final
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49JGM_2017-09-15_final
2017-09-17 11:11:51	ga_s2bm_ard_3-2-1_51JXH_2017-09-17_final
2017-09-17 11:11:51	ga_s2bm_ard_3-2-1_51KZQ_2017-09-17_final
2017-09-19 11:55:56	ga_s2bm_ard_3-2-1_50HMK_2017-09-19_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JKQ_2017-09-22_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50KKB_2017-09-22_final
2017-09-23 11:29:24	ga_s2bm_ard_3-2-1_51JTH_2017-09-23_final
2017-09-23 11:29:24	ga_s2bm_ard_3-2-1_51JUH_2017-09-23_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JKN_2017-09-29_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JLS_2017-09-29_final
2017-09-30 11:16:43	ga_s2bm_ard_3-2-1_51KYB_2017-09-30_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HNJ_2017-10-06_final
2017-10-20 11:21:45	ga_s2bm_ard_3-2-1_51JVF_2017-10-20_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HMH_2017-12-15_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HNH_2017-12-25_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50KPF_2017-12-28_final.stac-item
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HLJ_2018-02-16_final
2018-04-27 11:53:35	ga_s2bm_ard_3-2-1_50JMR_2018-04-27_final
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_51KXU_2018-04-28_final
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51JVJ_2018-04-28_final
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KVA_2018-05-01_final
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KWT_2018-05-01_final
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49JGL_2018-05-03_final
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49JGM_2018-05-03_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HMK_2018-05-04_final
2018-05-05 11:13:23	ga_s2bm_ard_3-2-1_51JYF_2018-05-05_final
2018-05-08 11:24:04	ga_s2bm_ard_3-2-1_51HUC_2018-05-08_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_50HQJ_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_50JQP_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51JTJ_2018-05-11_final
2018-05-13 12:13:20	ga_s2bm_ard_3-2-1_49KGR_2018-05-13_final
2018-05-13 12:14:07	ga_s2bm_ard_3-2-1_49JGM_2018-05-13_final
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50JNL_2018-05-14_final
2018-05-23 12:14:46	ga_s2bm_ard_3-2-1_49JGL_2018-05-23_final
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_51KXR_2018-05-28_final
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_51KZA_2018-05-28_final
2018-05-31 11:27:22	ga_s2bm_ard_3-2-1_51KYU_2018-05-31_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KVU_2018-05-31_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KWU_2018-05-31_final
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KWT_2018-06-10_final
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KXT_2018-06-10_final
2018-06-13 11:37:58	ga_s2bm_ard_3-2-1_51KUB_2018-06-13_final.stac-item
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51HTC_2018-07-17_final
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51KXU_2018-07-17_final
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51JUF_2018-09-25_final
2018-11-10 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2018-11-10_final
2019-02-15 11:36:10	ga_s2bm_ard_3-2-1_51JVF_2019-02-15_final
2019-02-21 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2019-02-21_final
2019-03-04 11:26:12	ga_s2bm_ard_3-2-1_51JVF_2019-03-04_final
2019-05-13 11:27:16	ga_s2bm_ard_3-2-1_51HTC_2019-05-13_final
2019-06-15 11:33:09	ga_s2bm_ard_3-2-1_51KVU_2019-06-15_final
2019-06-15 11:33:20	ga_s2bm_ard_3-2-1_51KWT_2019-06-15_final
2019-07-05 11:33:21	ga_s2bm_ard_3-2-1_51KWT_2019-07-05_final
2019-07-12 11:23:53	ga_s2bm_ard_3-2-1_51KZR_2019-07-12_final
2019-08-01 11:27:15	ga_s2bm_ard_3-2-1_51HTC_2019-08-01_final
2019-12-19 11:26:13	ga_s2bm_ard_3-2-1_51JUF_2019-12-19_final
2020-01-24 11:46:48	ga_s2bm_ard_3-2-1_50HMJ_2020-01-24_final
2020-02-06 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2020-02-06_final
2020-02-27 11:26:11	ga_s2bm_ard_3-2-1_51JUF_2020-02-27_final
2020-03-31 11:36:08	ga_s2bm_ard_3-2-1_51JVF_2020-03-31_final
2020-04-03 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2020-04-03_final
2020-04-06 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2020-04-06_final
2020-04-07 11:26:15	ga_s2bm_ard_3-2-1_51JUF_2020-04-07_final
2020-07-06 11:23:30	ga_s2bm_ard_3-2-1_51KXS_2020-07-06_final
2020-08-05 11:26:50	ga_s2bm_ard_3-2-1_51HUD_2020-08-05_final
2020-12-02 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2020-12-02_final
2021-02-20 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2021-02-20_final
2021-05-22 11:23:10	ga_s2bm_ard_3-2-1_51KYT_2021-05-22_final
2021-05-22 11:23:25	ga_s2bm_ard_3-2-1_51KYS_2021-05-22_final
2021-06-21 11:23:58	ga_s2bm_ard_3-2-1_51KXQ_2021-06-21_final
2021-07-18 11:13:42	ga_s2bm_ard_3-2-1_51KZR_2021-07-18_final
2021-07-31 11:23:15	ga_s2bm_ard_3-2-1_51KXT_2021-07-31_final
2022-03-17 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2022-03-17_final
2022-04-07 11:26:15	ga_s2bm_ard_3-2-1_51JUF_2022-04-07_final
2022-04-26 11:52:13	ga_s2bm_ard_3-2-1_50KQG_2022-04-26_final.stac-item
2022-06-06 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2022-06-06_final
2022-10-04 11:26:13	ga_s2bm_ard_3-2-1_51JVF_2022-10-04_final.stac-item
2023-01-01 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2023-01-01_final.stac-item
2023-04-01 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2023-04-01_final.stac-item
2023-05-11 11:53:33	ga_s2bm_ard_3-2-1_50KMC_2023-05-11_final.stac-item
2023-05-22 11:23:40	ga_s2bm_ard_3-2-1_51KZR_2023-05-22_final.stac-item
2023-06-01 11:23:28	ga_s2bm_ard_3-2-1_51KYS_2023-06-01_final.stac-item
2023-06-13 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2023-06-13_final.stac-item
2023-07-18 11:17:03	ga_s2bm_ard_3-2-1_51HWC_2023-07-18_final.stac-item
2023-07-30 11:55:47	ga_s2bm_ard_3-2-1_50JLP_2023-07-30_final.stac-item
2023-07-31 11:23:01	ga_s2bm_ard_3-2-1_51KYU_2023-07-31_final.stac-item
2023-09-29 11:26:17	ga_s2bm_ard_3-2-1_51JVF_2023-09-29_final.stac-item
2023-11-04 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2023-11-04_final.stac-item
2023-11-24 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2023-11-24_final.stac-item
2023-11-30 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2023-11-30_final.stac-item
2023-12-01 11:36:07	ga_s2bm_ard_3-2-1_51JVF_2023-12-01_final.stac-item
2023-12-20 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2023-12-20_final.stac-item
2023-12-21 11:36:11	ga_s2bm_ard_3-2-1_51JVF_2023-12-21_final.stac-item
2023-12-30 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-12-30_final.stac-item
2024-01-06 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2024-01-06_final.stac-item
2024-01-07 11:26:14	ga_s2bm_ard_3-2-1_51JVF_2024-01-07_final.stac-item
2024-01-19 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2024-01-19_final.stac-item
2024-03-03 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2024-03-03_final.stac-item
2024-04-09 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2024-04-09_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