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
2017-08-28 11:07:07	ga_s2bm_ard_3-2-1_52LFN_2017-08-28_final.stac-item
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KWV_2017-11-22_final
2017-11-23 11:02:50	ga_s2bm_ard_3-2-1_52JGS_2017-11-23_final
2017-12-18 11:55:59	ga_s2bm_ard_3-2-1_50HMK_2017-12-18_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KZB_2018-01-11_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50KRC_2018-01-17_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51JTJ_2018-03-05_final
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49JGM_2018-04-23_final
2018-07-13 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2018-07-13_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51JZN_2018-10-05_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51KXU_2018-10-05_final
2018-11-18 11:04:33	ga_s2bm_ard_3-2-1_52JDS_2018-11-18_final
2018-11-21 11:15:53	ga_s2bm_ard_3-2-1_52JCL_2018-11-21_final
2018-12-06 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2018-12-06_final
2019-01-16 11:31:56	ga_s2bm_ard_3-2-1_51LXC_2019-01-16_final
2019-02-28 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2019-02-28_final
2019-03-17 11:32:56	ga_s2bm_ard_3-2-1_51KWU_2019-03-17_final
2019-03-26 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2019-03-26_final
2019-03-27 11:31:58	ga_s2bm_ard_3-2-1_51LXC_2019-03-27_final
2019-04-10 11:17:03	ga_s2bm_ard_3-2-1_51HWC_2019-04-10_final.stac-item
2019-04-26 11:32:22	ga_s2bm_ard_3-2-1_51KWB_2019-04-26_final
2019-06-12 11:23:51	ga_s2bm_ard_3-2-1_51KZQ_2019-06-12_final
2019-06-29 11:14:03	ga_s2bm_ard_3-2-1_51KZQ_2019-06-29_final
2019-07-16 11:06:07	ga_s2bm_ard_3-2-1_52JBM_2019-07-16_final
2019-08-30 11:53:35	ga_s2bm_ard_3-2-1_50KMC_2019-08-30_final
2019-09-23 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2019-09-23_final
2019-09-29 11:53:17	ga_s2bm_ard_3-2-1_50KQC_2019-09-29_final
2019-09-29 11:53:25	ga_s2bm_ard_3-2-1_50KNC_2019-09-29_final
2019-09-30 11:26:33	ga_s2bm_ard_3-2-1_51HUE_2019-09-30_final
2019-10-13 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2019-10-13_final
2019-12-09 11:23:48	ga_s2bm_ard_3-2-1_51KYQ_2019-12-09_final
2019-12-17 10:46:15	ga_s2bm_ard_3-2-1_53HMD_2019-12-17_final
2019-12-19 11:26:49	ga_s2bm_ard_3-2-1_51HWC_2019-12-19_final.stac-item
2020-01-08 11:21:48	ga_s2bm_ard_3-2-1_52LDH_2020-01-08_final
2020-01-18 11:22:20	ga_s2bm_ard_3-2-1_51KYA_2020-01-18_final
2020-02-10 11:35:32	ga_s2bm_ard_3-2-1_50JQP_2020-02-10_final
2020-04-01 11:04:22	ga_s2bm_ard_3-2-1_52JGS_2020-04-01_final
2020-07-28 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-07-28_final
2020-08-11 11:45:15	ga_s2bm_ard_3-2-1_50JNR_2020-08-11_final
2020-08-24 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2020-08-24_final
2020-09-05 10:53:23	ga_s2bm_ard_3-2-1_52KGB_2020-09-05_final
2020-09-17 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2020-09-17_final
2020-10-02 10:45:50	ga_s2bm_ard_3-2-1_52JGM_2020-10-02_final
2020-10-14 11:24:08	ga_s2bm_ard_3-2-1_52KBU_2020-10-14_final
2020-10-20 11:43:33	ga_s2bm_ard_3-2-1_51KUS_2020-10-20_final
2020-12-26 11:33:10	ga_s2bm_ard_3-2-1_51KWT_2020-12-26_final
2021-02-01 11:26:47	ga_s2bm_ard_3-2-1_51HUD_2021-02-01_final
2021-02-15 11:00:28	ga_s2bm_ard_3-2-1_52LHN_2021-02-15_final
2021-02-17 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2021-02-17_final.stac-item
2021-03-02 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2021-03-02_final
2021-03-09 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2021-03-09_final
2021-03-29 11:43:42	ga_s2bm_ard_3-2-1_51KUR_2021-03-29_final
2021-04-15 11:32:28	ga_s2bm_ard_3-2-1_51KVA_2021-04-15_final
2021-04-24 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2021-04-24_final
2021-05-02 11:23:32	ga_s2bm_ard_3-2-1_51KZR_2021-05-02_final
2021-05-05 11:34:33	ga_s2bm_ard_3-2-1_51JTN_2021-05-05_final
2021-05-28 11:43:22	ga_s2bm_ard_3-2-1_50KQC_2021-05-28_final
2021-06-29 10:46:10	ga_s2bm_ard_3-2-1_53HLE_2021-06-29_final
2021-07-13 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2021-07-13_final
2021-08-26 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2021-08-26_final
2021-09-22 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2021-09-22_final
2021-10-31 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2021-10-31_final
2021-11-08 11:23:06	ga_s2bm_ard_3-2-1_52KBC_2021-11-08_final
2021-11-15 11:14:07	ga_s2bm_ard_3-2-1_52KBU_2021-11-15_final
2021-12-20 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2021-12-20_final
2022-02-07 10:55:36	ga_s2bm_ard_3-2-1_52JGM_2022-02-07_final
2022-03-11 11:34:08	ga_s2bm_ard_3-2-1_51KWP_2022-03-11_final
2022-03-28 11:24:29	ga_s2bm_ard_3-2-1_51JZM_2022-03-28_final
2022-03-31 11:31:15	ga_s2bm_ard_3-2-1_52LBK_2022-03-31_final
2022-04-03 11:43:08	ga_s2bm_ard_3-2-1_50KRC_2022-04-03_final
2022-06-01 12:13:48	ga_s2bm_ard_3-2-1_50KKA_2022-06-01_final
2022-06-30 11:05:13	ga_s2bm_ard_3-2-1_52JCQ_2022-06-30_final
2022-07-20 11:03:00	ga_s2bm_ard_3-2-1_52KHC_2022-07-20_final
2022-08-12 11:14:50	ga_s2bm_ard_3-2-1_52JDR_2022-08-12_final
2022-09-24 11:23:11	ga_s2bm_ard_3-2-1_51KYT_2022-09-24_final.stac-item
2022-11-18 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2022-11-18_final.stac-item
2023-01-12 11:26:43	ga_s2bm_ard_3-2-1_51HUD_2023-01-12_final.stac-item
2023-02-03 12:03:23	ga_s2bm_ard_3-2-1_50KLC_2023-02-03_final.stac-item
2023-02-05 11:00:46	ga_s2bm_ard_3-2-1_52LGM_2023-02-05_final.stac-item
2023-02-20 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2023-02-20_final.stac-item
2023-03-03 11:22:49	ga_s2bm_ard_3-2-1_52KCD_2023-03-03_final.stac-item
2023-03-29 11:42:45	ga_s2bm_ard_3-2-1_51KVV_2023-03-29_final.stac-item
2023-04-22 11:23:59	ga_s2bm_ard_3-2-1_51KXQ_2023-04-22_final.stac-item
2023-04-29 11:11:21	ga_s2bm_ard_3-2-1_52LEK_2023-04-29_final.stac-item
2023-05-19 11:13:49	ga_s2bm_ard_3-2-1_52KEV_2023-05-19_final.stac-item
2023-05-29 11:11:09	ga_s2bm_ard_3-2-1_52LEL_2023-05-29_final.stac-item
2023-06-04 11:34:09	ga_s2bm_ard_3-2-1_51KXP_2023-06-04_final.stac-item
2023-06-17 11:43:08	ga_s2bm_ard_3-2-1_51KTU_2023-06-17_final.stac-item
2023-08-16 11:41:38	ga_s2bm_ard_3-2-1_51LUE_2023-08-16_final.stac-item
2023-11-02 11:00:31	ga_s2bm_ard_3-2-1_52LHN_2023-11-02_final.stac-item
2023-11-28 11:22:38	ga_s2bm_ard_3-2-1_51KYV_2023-11-28_final.stac-item
2023-12-12 11:03:32	ga_s2bm_ard_3-2-1_52KEA_2023-12-12_final.stac-item
2023-12-28 11:22:20	ga_s2bm_ard_3-2-1_52KCF_2023-12-28_final.stac-item
2024-02-05 11:57:18	ga_s2bm_ard_3-2-1_50HMG_2024-02-05_final.stac-item
2024-02-08 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2024-02-08_final.stac-item
2024-02-23 11:12:32	ga_s2bm_ard_3-2-1_52KEE_2024-02-23_final.stac-item
2024-03-03 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2024-03-03_final.stac-item
2024-03-10 11:36:22	ga_s2bm_ard_3-2-1_50JPL_2024-03-10_final.stac-item
2024-03-24 11:15:11	ga_s2bm_ard_3-2-1_52JBQ_2024-03-24_final.stac-item
2024-04-15 11:55:54	ga_s2bm_ard_3-2-1_50JMN_2024-04-15_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