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
2017-07-27 12:14:41	ga_s2bm_ard_3-2-1_49JGM_2017-07-27_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KUS_2017-12-05_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50KQG_2017-12-08_final.stac-item
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51KVB_2018-02-03_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51HXD_2018-02-07_final
2018-04-25 11:14:42	ga_s2bm_ard_3-2-1_51HWC_2018-04-25_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KVA_2018-05-21_final
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_50KKB_2018-06-12_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_49JGJ_2018-06-29_final
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51KVT_2018-08-19_final
2018-08-28 12:04:53	ga_s2bm_ard_3-2-1_49JGJ_2018-08-28_final
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HMH_2018-10-21_final
2018-12-07 11:33:39	ga_s2bm_ard_3-2-1_51KVR_2018-12-07_final
2018-12-19 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2018-12-19_final
2018-12-20 11:43:13	ga_s2bm_ard_3-2-1_51KTT_2018-12-20_final
2018-12-30 11:43:15	ga_s2bm_ard_3-2-1_51KTT_2018-12-30_final
2019-01-05 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2019-01-05_final
2019-01-06 11:34:01	ga_s2bm_ard_3-2-1_51KUQ_2019-01-06_final
2019-01-28 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2019-01-28_final
2019-03-09 12:13:37	ga_s2bm_ard_3-2-1_50KKB_2019-03-09_final
2019-03-26 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2019-03-26_final
2019-07-08 11:43:33	ga_s2bm_ard_3-2-1_51KVS_2019-07-08_final
2019-07-22 11:26:50	ga_s2bm_ard_3-2-1_51HVD_2019-07-22_final
2019-08-14 11:33:22	ga_s2bm_ard_3-2-1_51KVT_2019-08-14_final
2019-09-06 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2019-09-06_final
2019-10-12 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2019-10-12_final
2019-12-28 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2019-12-28_final
2019-12-28 11:54:14	ga_s2bm_ard_3-2-1_50KPU_2019-12-28_final
2020-01-03 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2020-01-03_final
2020-02-10 11:35:21	ga_s2bm_ard_3-2-1_51JVJ_2020-02-10_final
2020-02-17 11:25:05	ga_s2bm_ard_3-2-1_51JXK_2020-02-17_final
2020-02-23 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2020-02-23_final
2020-04-23 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2020-04-23_final
2020-04-29 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2020-04-29_final
2020-05-06 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2020-05-06_final
2020-05-16 11:53:02	ga_s2bm_ard_3-2-1_50KQD_2020-05-16_final.stac-item
2020-06-09 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2020-06-09_final
2020-06-12 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2020-06-12_final
2020-06-12 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2020-06-12_final
2020-06-22 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2020-06-22_final
2020-07-09 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2020-07-09_final
2020-07-18 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2020-07-18_final
2020-07-28 12:05:54	ga_s2bm_ard_3-2-1_50JLN_2020-07-28_final
2020-08-08 11:33:48	ga_s2bm_ard_3-2-1_51KVR_2020-08-08_final
2020-08-14 11:52:38	ga_s2bm_ard_3-2-1_50KQF_2020-08-14_final.stac-item
2020-08-21 11:43:28	ga_s2bm_ard_3-2-1_51KVS_2020-08-21_final
2020-09-26 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-09-26_final
2020-09-30 11:42:49	ga_s2bm_ard_3-2-1_51KUV_2020-09-30_final
2020-10-20 11:43:15	ga_s2bm_ard_3-2-1_51KVT_2020-10-20_final
2020-10-27 11:34:03	ga_s2bm_ard_3-2-1_51KVQ_2020-10-27_final
2020-11-09 11:44:29	ga_s2bm_ard_3-2-1_51JUN_2020-11-09_final
2021-01-18 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2021-01-18_final
2021-03-12 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2021-03-12_final
2021-05-18 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2021-05-18_final
2021-05-21 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2021-05-21_final
2021-05-28 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2021-05-28_final
2021-08-03 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2021-08-03_final
2021-08-10 11:24:52	ga_s2bm_ard_3-2-1_51JYL_2021-08-10_final
2021-10-16 11:14:57	ga_s2bm_ard_3-2-1_51JYL_2021-10-16_final
2021-10-29 11:27:00	ga_s2bm_ard_3-2-1_51HVC_2021-10-29_final
2021-11-11 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2021-11-11_final
2021-11-21 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2021-11-21_final
2021-11-24 11:43:40	ga_s2bm_ard_3-2-1_51KUR_2021-11-24_final
2021-12-08 11:24:21	ga_s2bm_ard_3-2-1_51JXN_2021-12-08_final
2021-12-31 11:33:56	ga_s2bm_ard_3-2-1_51KVQ_2021-12-31_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
2022-03-28 11:24:41	ga_s2bm_ard_3-2-1_51JWM_2022-03-28_final
2022-05-03 11:46:17	ga_s2bm_ard_3-2-1_50JNL_2022-05-03_final
2022-05-13 11:46:17	ga_s2bm_ard_3-2-1_50JPL_2022-05-13_final
2022-05-19 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2022-05-19_final
2022-07-02 11:42:51	ga_s2bm_ard_3-2-1_51KUV_2022-07-02_final
2022-08-04 11:53:15	ga_s2bm_ard_3-2-1_50KRC_2022-08-04_final
2022-08-17 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2022-08-17_final
2022-08-18 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2022-08-18_final
2022-09-01 11:16:42	ga_s2bm_ard_3-2-1_51HXD_2022-09-01_final.stac-item
2022-09-19 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2022-09-19_final.stac-item
2022-11-19 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2022-11-19_final.stac-item
2022-11-29 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2022-11-29_final.stac-item
2022-12-28 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2022-12-28_final.stac-item
2023-01-29 11:14:27	ga_s2bm_ard_3-2-1_51JYN_2023-01-29_final.stac-item
2023-02-04 11:33:28	ga_s2bm_ard_3-2-1_51KVS_2023-02-04_final.stac-item
2023-02-27 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2023-02-27_final.stac-item
2023-04-08 11:42:30	ga_s2bm_ard_3-2-1_51KVA_2023-04-08_final.stac-item
2023-04-14 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2023-04-14_final.stac-item
2023-04-15 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2023-04-15_final.stac-item
2023-04-21 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2023-04-21_final.stac-item
2023-05-14 12:04:02	ga_s2bm_ard_3-2-1_50KKA_2023-05-14_final.stac-item
2023-06-04 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2023-06-04_final.stac-item
2023-07-17 11:42:51	ga_s2bm_ard_3-2-1_51KUV_2023-07-17_final.stac-item
2023-07-30 11:55:47	ga_s2bm_ard_3-2-1_50JLP_2023-07-30_final.stac-item
2023-08-03 11:33:35	ga_s2bm_ard_3-2-1_51KVS_2023-08-03_final.stac-item
2023-10-02 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2023-10-02_final.stac-item
2023-10-21 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2023-10-21_final.stac-item
2023-12-07 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2023-12-07_final.stac-item
2023-12-07 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2023-12-07_final.stac-item
2024-01-10 11:34:12	ga_s2bm_ard_3-2-1_51KVP_2024-01-10_final.stac-item
2024-01-26 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2024-01-26_final.stac-item
2024-02-05 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2024-02-05_final.stac-item
2024-03-30 11:34:54	ga_s2bm_ard_3-2-1_51JWL_2024-03-30_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