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
2017-08-20 11:56:30	ga_s2bm_ard_3-2-1_50HLH_2017-08-20_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_51KUU_2017-10-26_final
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KUP_2017-12-02_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51JWN_2017-12-12_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KUQ_2017-12-12_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KVP_2017-12-12_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50JMM_2018-01-17_final
2018-02-23 11:40:38	ga_s2bm_ard_3-2-1_51KVB_2018-02-23_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JNL_2018-03-25_final
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_50HPJ_2018-04-11_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JQL_2018-07-03_final
2018-07-20 11:35:23	ga_s2bm_ard_3-2-1_50HPG_2018-07-20_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JLN_2018-08-05_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51HUE_2018-08-29_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50KQD_2018-09-04_final.stac-item
2018-12-20 11:43:13	ga_s2bm_ard_3-2-1_50KRC_2018-12-20_final
2019-01-09 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2019-01-09_final
2019-01-29 11:44:16	ga_s2bm_ard_3-2-1_50KRU_2019-01-29_final
2019-02-15 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2019-02-15_final
2019-02-25 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2019-02-25_final
2019-02-28 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2019-02-28_final
2019-06-11 11:56:04	ga_s2bm_ard_3-2-1_50JLN_2019-06-11_final
2019-08-03 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-08-03_final
2019-08-04 11:37:08	ga_s2bm_ard_3-2-1_51HTC_2019-08-04_final
2019-08-10 11:56:25	ga_s2bm_ard_3-2-1_50JNL_2019-08-10_final
2019-08-17 11:42:52	ga_s2bm_ard_3-2-1_51KUV_2019-08-17_final
2019-09-02 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2019-09-02_final
2019-10-16 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2019-10-16_final
2019-10-22 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2019-10-22_final
2019-11-25 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2019-11-25_final
2019-12-01 12:05:39	ga_s2bm_ard_3-2-1_49JGJ_2019-12-01_final
2019-12-05 11:42:57	ga_s2bm_ard_3-2-1_51KTU_2019-12-05_final
2019-12-18 11:52:15	ga_s2bm_ard_3-2-1_50KQG_2019-12-18_final.stac-item
2020-01-04 11:43:38	ga_s2bm_ard_3-2-1_51KUR_2020-01-04_final
2020-01-11 11:33:42	ga_s2bm_ard_3-2-1_51KUR_2020-01-11_final
2020-01-14 11:44:25	ga_s2bm_ard_3-2-1_51JTN_2020-01-14_final
2020-03-04 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2020-03-04_final
2020-05-17 11:26:52	ga_s2bm_ard_3-2-1_51HVC_2020-05-17_final
2020-05-17 11:26:53	ga_s2bm_ard_3-2-1_51HUD_2020-05-17_final
2020-05-19 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2020-05-19_final
2020-05-29 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2020-05-29_final
2020-06-02 11:44:00	ga_s2bm_ard_3-2-1_51KUQ_2020-06-02_final
2020-07-02 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2020-07-02_final
2020-07-09 11:36:45	ga_s2bm_ard_3-2-1_51HUD_2020-07-09_final
2020-09-27 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2020-09-27_final
2020-10-10 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2020-10-10_final
2020-10-14 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2020-10-14_final
2020-10-20 11:43:47	ga_s2bm_ard_3-2-1_51KUR_2020-10-20_final
2020-11-29 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2020-11-29_final
2020-12-25 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2020-12-25_final
2021-01-08 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-01-08_final
2021-02-04 11:33:47	ga_s2bm_ard_3-2-1_51KUR_2021-02-04_final
2021-02-10 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2021-02-10_final
2021-03-09 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2021-03-09_final
2021-05-08 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2021-05-08_final
2021-07-13 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-07-13_final
2021-07-17 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2021-07-17_final.stac-item
2021-07-21 11:26:34	ga_s2bm_ard_3-2-1_51HUE_2021-07-21_final
2021-08-10 11:24:38	ga_s2bm_ard_3-2-1_51JYM_2021-08-10_final
2021-08-10 11:26:48	ga_s2bm_ard_3-2-1_51HUD_2021-08-10_final
2021-08-16 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2021-08-16_final
2021-09-15 11:42:42	ga_s2bm_ard_3-2-1_51KUV_2021-09-15_final
2021-11-04 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2021-11-04_final
2021-11-04 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2021-11-04_final
2021-11-24 11:43:29	ga_s2bm_ard_3-2-1_50KRB_2021-11-24_final
2021-12-20 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2021-12-20_final
2022-01-03 11:42:23	ga_s2bm_ard_3-2-1_51KVA_2022-01-03_final
2022-01-30 11:33:54	ga_s2bm_ard_3-2-1_51KVQ_2022-01-30_final
2022-02-12 11:43:12	ga_s2bm_ard_3-2-1_50KRC_2022-02-12_final
2022-02-26 11:26:57	ga_s2bm_ard_3-2-1_51HUC_2022-02-26_final
2022-03-24 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2022-03-24_final
2022-03-25 11:14:21	ga_s2bm_ard_3-2-1_51JZN_2022-03-25_final
2022-03-30 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2022-03-30_final
2022-04-03 11:43:08	ga_s2bm_ard_3-2-1_50KRC_2022-04-03_final
2022-05-30 11:37:01	ga_s2bm_ard_3-2-1_51HTC_2022-05-30_final
2022-06-06 11:26:48	ga_s2bm_ard_3-2-1_51HUD_2022-06-06_final
2022-07-02 11:42:18	ga_s2bm_ard_3-2-1_51KVB_2022-07-02_final
2022-08-11 11:42:49	ga_s2bm_ard_3-2-1_51KUV_2022-08-11_final
2022-09-11 11:16:24	ga_s2bm_ard_3-2-1_51HYE_2022-09-11_final.stac-item
2022-09-20 11:43:02	ga_s2bm_ard_3-2-1_51KUU_2022-09-20_final.stac-item
2022-10-10 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2022-10-10_final.stac-item
2022-11-19 11:44:27	ga_s2bm_ard_3-2-1_51JUN_2022-11-19_final.stac-item
2022-12-08 12:13:50	ga_s2bm_ard_3-2-1_50KKA_2022-12-08_final.stac-item
2022-12-10 11:15:07	ga_s2bm_ard_3-2-1_51JYK_2022-12-10_final.stac-item
2022-12-29 11:43:43	ga_s2bm_ard_3-2-1_51KUR_2022-12-29_final.stac-item
2023-02-07 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2023-02-07_final.stac-item
2023-02-14 11:33:46	ga_s2bm_ard_3-2-1_51KUR_2023-02-14_final.stac-item
2023-07-17 11:42:22	ga_s2bm_ard_3-2-1_51KUB_2023-07-17_final.stac-item
2023-07-27 11:45:56	ga_s2bm_ard_3-2-1_50JPN_2023-07-27_final.stac-item
2023-09-15 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2023-09-15_final.stac-item
2023-11-04 11:43:06	ga_s2bm_ard_3-2-1_51KTU_2023-11-04_final.stac-item
2023-11-24 11:42:59	ga_s2bm_ard_3-2-1_50KRD_2023-11-24_final.stac-item
2023-12-07 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2023-12-07_final.stac-item
2023-12-11 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2023-12-11_final.stac-item
2023-12-20 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2023-12-20_final.stac-item
2024-01-20 11:34:13	ga_s2bm_ard_3-2-1_51KVP_2024-01-20_final.stac-item
2024-01-27 11:24:50	ga_s2bm_ard_3-2-1_51JYL_2024-01-27_final.stac-item
2024-02-05 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2024-02-05_final.stac-item
2024-03-20 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2024-03-20_final.stac-item
2024-05-13 11:15:07	ga_s2bm_ard_3-2-1_51JYK_2024-05-13_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