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
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_49KHR_2017-07-04_final
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_51KWQ_2017-07-05_final
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50KRC_2017-07-31_final
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50JKN_2017-08-13_final
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_51KVS_2017-09-03_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51KVU_2017-10-13_final
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KVU_2017-12-02_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KWB_2017-12-15_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50KQB_2018-01-17_final
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_50KKA_2018-02-12_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50HPH_2018-03-15_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51KVT_2018-04-11_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49KHR_2018-05-10_final
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_51JYG_2018-05-28_final
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KWV_2018-07-20_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51KWS_2018-08-09_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51KWT_2018-09-18_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50KPC_2018-09-24_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51KWT_2018-10-08_final
2018-11-07 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2018-11-07_final
2018-12-20 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2018-12-20_final.stac-item
2019-01-26 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2019-01-26_final
2019-03-17 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2019-03-17_final
2019-03-26 12:04:00	ga_s2bm_ard_3-2-1_50KKA_2019-03-26_final
2019-04-19 11:47:20	ga_s2bm_ard_3-2-1_50HLH_2019-04-19_final
2019-04-29 11:46:04	ga_s2bm_ard_3-2-1_51JTG_2019-04-29_final
2019-06-12 11:27:09	ga_s2bm_ard_3-2-1_51HUC_2019-06-12_final
2019-06-14 12:03:27	ga_s2bm_ard_3-2-1_50KNC_2019-06-14_final
2019-06-21 11:54:04	ga_s2bm_ard_3-2-1_50KMA_2019-06-21_final
2019-07-21 11:56:49	ga_s2bm_ard_3-2-1_50HLK_2019-07-21_final
2019-08-21 11:24:03	ga_s2bm_ard_3-2-1_51KXQ_2019-08-21_final
2019-09-23 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2019-09-23_final
2019-10-13 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2019-10-13_final
2019-10-29 11:56:23	ga_s2bm_ard_3-2-1_50JML_2019-10-29_final
2019-12-02 11:33:47	ga_s2bm_ard_3-2-1_51KXQ_2019-12-02_final
2019-12-12 11:33:36	ga_s2bm_ard_3-2-1_51KWR_2019-12-12_final
2020-02-09 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2020-02-09_final
2020-02-13 11:42:23	ga_s2bm_ard_3-2-1_51KVA_2020-02-13_final
2020-02-20 11:32:22	ga_s2bm_ard_3-2-1_51KXA_2020-02-20_final
2020-03-20 12:03:24	ga_s2bm_ard_3-2-1_50KLC_2020-03-20_final
2020-05-06 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2020-05-06_final
2020-05-23 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2020-05-23_final
2020-06-02 11:42:18	ga_s2bm_ard_3-2-1_51KUB_2020-06-02_final.stac-item
2020-06-29 11:36:26	ga_s2bm_ard_3-2-1_51HVE_2020-06-29_final
2020-07-16 11:24:03	ga_s2bm_ard_3-2-1_51KWQ_2020-07-16_final
2020-09-27 11:34:28	ga_s2bm_ard_3-2-1_51JWN_2020-09-27_final
2020-09-30 11:42:24	ga_s2bm_ard_3-2-1_51KWA_2020-09-30_final
2020-11-02 11:53:20	ga_s2bm_ard_3-2-1_50KQC_2020-11-02_final
2020-11-06 11:33:50	ga_s2bm_ard_3-2-1_51KUR_2020-11-06_final
2020-11-09 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2020-11-09_final
2020-11-29 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2020-11-29_final
2021-02-14 11:36:45	ga_s2bm_ard_3-2-1_51HTD_2021-02-14_final
2021-03-16 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2021-03-16_final
2021-03-26 11:32:28	ga_s2bm_ard_3-2-1_51KWA_2021-03-26_final
2021-04-14 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2021-04-14_final
2021-04-14 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2021-04-14_final
2021-05-08 11:42:33	ga_s2bm_ard_3-2-1_51KVA_2021-05-08_final
2021-08-03 11:34:07	ga_s2bm_ard_3-2-1_51KXP_2021-08-03_final
2021-10-01 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2021-10-01_final
2021-10-05 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2021-10-05_final
2021-11-08 11:24:51	ga_s2bm_ard_3-2-1_51JYL_2021-11-08_final
2021-11-14 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2021-11-14_final
2021-11-21 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2021-11-21_final
2021-11-24 11:42:42	ga_s2bm_ard_3-2-1_51KUV_2021-11-24_final
2021-12-04 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2021-12-04_final
2021-12-24 11:42:16	ga_s2bm_ard_3-2-1_51KWA_2021-12-24_final
2022-03-28 11:24:41	ga_s2bm_ard_3-2-1_51JWM_2022-03-28_final
2022-04-09 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2022-04-09_final
2022-06-09 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2022-06-09_final
2022-06-12 11:42:19	ga_s2bm_ard_3-2-1_51KUB_2022-06-12_final.stac-item
2022-06-12 11:43:21	ga_s2bm_ard_3-2-1_51KTT_2022-06-12_final
2022-07-02 11:42:18	ga_s2bm_ard_3-2-1_51KVB_2022-07-02_final
2022-07-12 11:43:29	ga_s2bm_ard_3-2-1_51KVS_2022-07-12_final
2022-08-08 11:34:15	ga_s2bm_ard_3-2-1_51KWP_2022-08-08_final
2022-08-10 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2022-08-10_final
2022-08-18 11:34:13	ga_s2bm_ard_3-2-1_51KWP_2022-08-18_final
2022-08-25 11:27:08	ga_s2bm_ard_3-2-1_51HTC_2022-08-25_final
2022-10-11 11:14:22	ga_s2bm_ard_3-2-1_51JZN_2022-10-11_final.stac-item
2022-10-20 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2022-10-20_final.stac-item
2022-11-09 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2022-11-09_final.stac-item
2022-12-16 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2022-12-16_final.stac-item
2023-02-07 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2023-02-07_final.stac-item
2023-02-24 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2023-02-24_final.stac-item
2023-03-08 12:13:58	ga_s2bm_ard_3-2-1_50KKA_2023-03-08_final.stac-item
2023-03-22 11:55:56	ga_s2bm_ard_3-2-1_50JMN_2023-03-22_final.stac-item
2023-04-01 11:56:58	ga_s2bm_ard_3-2-1_50HLJ_2023-04-01_final.stac-item
2023-05-22 11:24:20	ga_s2bm_ard_3-2-1_51KWP_2023-05-22_final.stac-item
2023-06-01 11:24:26	ga_s2bm_ard_3-2-1_51JYN_2023-06-01_final.stac-item
2023-06-23 12:06:08	ga_s2bm_ard_3-2-1_50JLM_2023-06-23_final.stac-item
2023-06-27 11:45:26	ga_s2bm_ard_3-2-1_50JPQ_2023-06-27_final.stac-item
2023-07-10 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-07-10_final.stac-item
2023-07-30 11:53:23	ga_s2bm_ard_3-2-1_50KQC_2023-07-30_final.stac-item
2023-08-16 11:43:14	ga_s2bm_ard_3-2-1_51KVT_2023-08-16_final.stac-item
2023-09-09 11:25:32	ga_s2bm_ard_3-2-1_51JWJ_2023-09-09_final.stac-item
2023-09-14 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2023-09-14_final.stac-item
2023-10-05 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2023-10-05_final.stac-item
2023-10-15 11:43:46	ga_s2bm_ard_3-2-1_51KUR_2023-10-15_final.stac-item
2023-11-01 11:33:55	ga_s2bm_ard_3-2-1_51KXQ_2023-11-01_final.stac-item
2023-11-07 11:57:22	ga_s2bm_ard_3-2-1_50HMG_2023-11-07_final.stac-item
2024-03-04 11:14:52	ga_s2bm_ard_3-2-1_51JYL_2024-03-04_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