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
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_51KVU_2017-07-18_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51KYT_2017-10-13_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_50KMC_2017-12-21_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51HTC_2018-01-11_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KXA_2018-01-21_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HLJ_2018-02-26_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51KUR_2018-03-22_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50KKB_2018-03-31_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51JUN_2018-04-21_final
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51LZD_2018-05-01_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HQK_2018-05-04_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_50HPK_2018-05-21_final
2018-06-13 11:37:58	ga_s2bm_ard_3-2-1_51LUF_2018-06-13_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HNK_2018-07-03_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HMG_2018-07-23_final.stac-item
2018-08-02 11:38:21	ga_s2bm_ard_3-2-1_51KVS_2018-08-02_final
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_51LWC_2018-09-01_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50JNL_2018-10-11_final
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51JXN_2018-10-25_final
2018-12-10 11:42:51	ga_s2bm_ard_3-2-1_51KVU_2018-12-10_final
2018-12-20 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2018-12-20_final
2019-03-10 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2019-03-10_final
2019-03-21 11:13:06	ga_s2bm_ard_3-2-1_52KCC_2019-03-21_final
2019-04-16 11:37:03	ga_s2bm_ard_3-2-1_51HUC_2019-04-16_final
2019-05-13 11:23:54	ga_s2bm_ard_3-2-1_51KYR_2019-05-13_final
2019-06-22 11:23:58	ga_s2bm_ard_3-2-1_51KZQ_2019-06-22_final
2019-06-26 11:04:12	ga_s2bm_ard_3-2-1_52KEU_2019-06-26_final
2019-07-12 11:23:54	ga_s2bm_ard_3-2-1_51KYQ_2019-07-12_final
2019-07-14 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-07-14_final
2019-07-19 11:13:13	ga_s2bm_ard_3-2-1_52KCC_2019-07-19_final
2019-07-25 11:32:37	ga_s2bm_ard_3-2-1_51KWA_2019-07-25_final
2019-08-13 12:04:55	ga_s2bm_ard_3-2-1_50JMS_2019-08-13_final
2019-08-15 11:03:01	ga_s2bm_ard_3-2-1_52KHC_2019-08-15_final
2019-10-06 11:41:34	ga_s2bm_ard_3-2-1_51LUE_2019-10-06_final
2019-10-12 12:03:24	ga_s2bm_ard_3-2-1_50KMC_2019-10-12_final
2019-10-16 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2019-10-16_final
2019-12-01 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2019-12-01_final
2019-12-25 11:41:28	ga_s2bm_ard_3-2-1_51LUE_2019-12-25_final
2020-01-15 11:13:08	ga_s2bm_ard_3-2-1_52KBC_2020-01-15_final
2020-01-18 11:25:22	ga_s2bm_ard_3-2-1_51JWJ_2020-01-18_final
2020-02-06 11:57:03	ga_s2bm_ard_3-2-1_50HLH_2020-02-06_final
2020-02-23 11:43:18	ga_s2bm_ard_3-2-1_50KQC_2020-02-23_final
2020-06-12 11:43:21	ga_s2bm_ard_3-2-1_50KRC_2020-06-12_final
2020-06-13 11:13:24	ga_s2bm_ard_3-2-1_52KCB_2020-06-13_final
2020-06-13 11:13:39	ga_s2bm_ard_3-2-1_52KCA_2020-06-13_final
2020-06-22 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2020-06-22_final
2020-07-03 11:15:09	ga_s2bm_ard_3-2-1_52JBQ_2020-07-03_final
2020-07-11 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2020-07-11_final
2020-07-19 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2020-07-19_final
2020-07-20 11:05:28	ga_s2bm_ard_3-2-1_52JFN_2020-07-20_final
2020-09-03 11:55:56	ga_s2bm_ard_3-2-1_50JMN_2020-09-03_final
2020-09-04 11:22:44	ga_s2bm_ard_3-2-1_51KYV_2020-09-04_final
2020-09-11 11:13:10	ga_s2bm_ard_3-2-1_52KCC_2020-09-11_final
2020-09-24 11:23:38	ga_s2bm_ard_3-2-1_51KZR_2020-09-24_final
2020-10-16 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2020-10-16_final
2020-10-20 11:41:22	ga_s2bm_ard_3-2-1_51LUF_2020-10-20_final
2020-11-08 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2020-11-08_final
2021-01-18 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2021-01-18_final
2021-01-28 11:43:43	ga_s2bm_ard_3-2-1_51KUR_2021-01-28_final
2021-02-11 11:22:32	ga_s2bm_ard_3-2-1_52KCE_2021-02-11_final
2021-03-27 11:05:33	ga_s2bm_ard_3-2-1_52JDN_2021-03-27_final
2021-07-14 11:33:03	ga_s2bm_ard_3-2-1_51KVU_2021-07-14_final
2021-07-21 11:25:26	ga_s2bm_ard_3-2-1_51JXJ_2021-07-21_final
2021-08-11 10:54:48	ga_s2bm_ard_3-2-1_52JFR_2021-08-11_final
2021-08-27 11:14:07	ga_s2bm_ard_3-2-1_51KZP_2021-08-27_final
2021-09-18 11:56:33	ga_s2bm_ard_3-2-1_50HMK_2021-09-18_final
2021-09-26 11:13:32	ga_s2bm_ard_3-2-1_52KDA_2021-09-26_final
2021-10-12 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2021-10-12_final
2021-10-19 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2021-10-19_final
2022-01-24 11:13:39	ga_s2bm_ard_3-2-1_52KEV_2022-01-24_final
2022-01-30 11:36:46	ga_s2bm_ard_3-2-1_50HPJ_2022-01-30_final
2022-02-10 11:03:29	ga_s2bm_ard_3-2-1_52KEA_2022-02-10_final
2022-03-25 11:14:44	ga_s2bm_ard_3-2-1_52JDR_2022-03-25_final
2022-04-30 11:32:19	ga_s2bm_ard_3-2-1_51KXA_2022-04-30_final
2022-06-29 11:37:06	ga_s2bm_ard_3-2-1_51HTC_2022-06-29_final
2022-07-06 11:22:57	ga_s2bm_ard_3-2-1_51KZU_2022-07-06_final
2022-07-19 11:32:19	ga_s2bm_ard_3-2-1_51KWB_2022-07-19_final
2022-09-15 10:55:58	ga_s2bm_ard_3-2-1_52JGL_2022-09-15_final.stac-item
2022-09-17 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2022-09-17_final.stac-item
2022-11-05 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2022-11-05_final.stac-item
2023-02-14 11:34:27	ga_s2bm_ard_3-2-1_51JVN_2023-02-14_final.stac-item
2023-04-22 11:21:52	ga_s2bm_ard_3-2-1_52LCH_2023-04-22_final.stac-item
2023-08-16 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2023-08-16_final.stac-item
2023-08-23 11:32:45	ga_s2bm_ard_3-2-1_51KXV_2023-08-23_final.stac-item
2023-08-30 11:24:19	ga_s2bm_ard_3-2-1_51KWP_2023-08-30_final.stac-item
2023-09-06 11:13:12	ga_s2bm_ard_3-2-1_52KCC_2023-09-06_final.stac-item
2023-10-12 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2023-10-12_final.stac-item
2023-10-29 11:26:49	ga_s2bm_ard_3-2-1_51HUD_2023-10-29_final.stac-item
2023-11-21 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2023-11-21_final.stac-item
2023-11-24 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2023-11-24_final.stac-item
2023-12-31 11:34:26	ga_s2bm_ard_3-2-1_51JWN_2023-12-31_final.stac-item
2024-01-07 11:21:23	ga_s2bm_ard_3-2-1_52LBK_2024-01-07_final.stac-item
2024-01-20 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2024-01-20_final.stac-item
2024-01-27 11:24:03	ga_s2bm_ard_3-2-1_51KZP_2024-01-27_final.stac-item
2024-02-16 11:24:20	ga_s2bm_ard_3-2-1_52JBT_2024-02-16_final.stac-item
2024-02-19 11:32:27	ga_s2bm_ard_3-2-1_51KXA_2024-02-19_final.stac-item
2024-04-22 11:40:57	ga_s2bm_ard_3-2-1_51LWG_2024-04-22_final.stac-item
2024-05-13 11:13:04	ga_s2bm_ard_3-2-1_52KDC_2024-05-13_final.stac-item
2024-05-26 11:21:25	ga_s2bm_ard_3-2-1_51LZE_2024-05-26_nrt.stac-item
2024-06-04 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2024-06-04_nrt.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