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
2017-09-03 11:36:30	ga_s2bm_ard_3-2-1_51HTD_2017-09-03_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_50JQN_2017-11-12_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51JTN_2017-11-25_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50JPR_2017-12-25_final
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52JER_2018-02-01_final
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_51KXS_2018-02-17_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50JLM_2018-02-26_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_50KKV_2018-03-14_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51LZC_2018-03-19_final
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_51JXJ_2018-03-26_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_51JVH_2018-04-01_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50KNB_2018-06-06_final
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51KXQ_2018-06-07_final
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51HVC_2018-07-07_final
2018-10-09 11:00:38	ga_s2bm_ard_3-2-1_52JCL_2018-10-09_final
2018-11-11 11:14:53	ga_s2bm_ard_3-2-1_51JYL_2018-11-11_final
2019-03-06 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2019-03-06_final
2019-04-06 11:32:03	ga_s2bm_ard_3-2-1_51LWC_2019-04-06_final
2019-04-29 11:45:58	ga_s2bm_ard_3-2-1_50JPN_2019-04-29_final
2019-06-27 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2019-06-27_final
2019-07-29 11:14:02	ga_s2bm_ard_3-2-1_51KZQ_2019-07-29_final
2019-08-23 12:05:28	ga_s2bm_ard_3-2-1_50JLQ_2019-08-23_final
2019-10-29 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2019-10-29_final
2019-11-09 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2019-11-09_final
2019-12-09 11:23:15	ga_s2bm_ard_3-2-1_51KZS_2019-12-09_final
2019-12-19 11:23:20	ga_s2bm_ard_3-2-1_51KYS_2019-12-19_final
2020-01-04 11:44:22	ga_s2bm_ard_3-2-1_51JUN_2020-01-04_final
2020-01-05 11:14:55	ga_s2bm_ard_3-2-1_52JDQ_2020-01-05_final
2020-01-11 11:35:10	ga_s2bm_ard_3-2-1_51JUK_2020-01-11_final
2020-01-18 11:26:56	ga_s2bm_ard_3-2-1_51HUC_2020-01-18_final
2020-02-17 11:26:40	ga_s2bm_ard_3-2-1_51HVD_2020-02-17_final
2020-02-19 12:05:04	ga_s2bm_ard_3-2-1_50JLR_2020-02-19_final
2020-04-20 11:32:27	ga_s2bm_ard_3-2-1_51KVA_2020-04-20_final
2020-06-09 11:33:33	ga_s2bm_ard_3-2-1_51KVS_2020-06-09_final
2020-10-19 12:13:43	ga_s2bm_ard_3-2-1_50KKB_2020-10-19_final
2020-10-30 11:44:19	ga_s2bm_ard_3-2-1_51KTP_2020-10-30_final
2020-10-31 11:13:43	ga_s2bm_ard_3-2-1_51KZR_2020-10-31_final
2020-11-02 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2020-11-02_final
2020-11-19 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2020-11-19_final
2020-12-10 11:15:51	ga_s2bm_ard_3-2-1_51JYG_2020-12-10_final
2021-01-01 11:54:43	ga_s2bm_ard_3-2-1_50JLT_2021-01-01_final
2021-01-15 11:35:12	ga_s2bm_ard_3-2-1_51JVK_2021-01-15_final
2021-01-15 11:35:44	ga_s2bm_ard_3-2-1_51JUH_2021-01-15_final
2021-01-25 11:36:46	ga_s2bm_ard_3-2-1_51HTD_2021-01-25_final
2021-02-04 11:32:32	ga_s2bm_ard_3-2-1_51KVA_2021-02-04_final
2021-03-13 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2021-03-13_final
2021-03-19 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2021-03-19_final
2021-06-01 11:25:58	ga_s2bm_ard_3-2-1_51JWG_2021-06-01_final
2021-06-10 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2021-06-10_final
2021-07-10 11:53:26	ga_s2bm_ard_3-2-1_50KNC_2021-07-10_final
2021-07-13 12:03:35	ga_s2bm_ard_3-2-1_50KNB_2021-07-13_final
2021-07-13 12:04:37	ga_s2bm_ard_3-2-1_50JMT_2021-07-13_final
2021-07-14 11:35:43	ga_s2bm_ard_3-2-1_51JVH_2021-07-14_final
2021-07-24 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2021-07-24_final
2021-09-09 11:26:44	ga_s2bm_ard_3-2-1_51HUD_2021-09-09_final
2021-10-25 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2021-10-25_final
2021-12-01 11:33:29	ga_s2bm_ard_3-2-1_51KUS_2021-12-01_final
2021-12-24 11:46:08	ga_s2bm_ard_3-2-1_50JMM_2021-12-24_final
2022-03-24 11:44:50	ga_s2bm_ard_3-2-1_50JPS_2022-03-24_final
2022-04-03 11:44:27	ga_s2bm_ard_3-2-1_51JTN_2022-04-03_final
2022-04-27 11:24:12	ga_s2bm_ard_3-2-1_51JZN_2022-04-27_final
2022-07-06 11:26:27	ga_s2bm_ard_3-2-1_51HXE_2022-07-06_final
2022-07-29 11:35:31	ga_s2bm_ard_3-2-1_51JVJ_2022-07-29_final
2022-08-25 11:24:44	ga_s2bm_ard_3-2-1_52JBR_2022-08-25_final
2022-09-04 11:26:42	ga_s2bm_ard_3-2-1_51HWD_2022-09-04_final.stac-item
2022-09-11 11:14:55	ga_s2bm_ard_3-2-1_52JBR_2022-09-11_final.stac-item
2022-09-11 11:16:39	ga_s2bm_ard_3-2-1_51HYD_2022-09-11_final.stac-item
2022-09-30 11:44:12	ga_s2bm_ard_3-2-1_51KUP_2022-09-30_final.stac-item
2022-09-30 11:45:24	ga_s2bm_ard_3-2-1_50JNQ_2022-09-30_final.stac-item
2022-10-01 11:14:52	ga_s2bm_ard_3-2-1_52JBR_2022-10-01_final.stac-item
2022-10-23 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2022-10-23_final.stac-item
2022-10-30 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2022-10-30_final.stac-item
2022-11-02 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2022-11-02_final.stac-item
2022-11-23 11:21:58	ga_s2bm_ard_3-2-1_51LYC_2022-11-23_final.stac-item
2023-02-12 10:56:02	ga_s2bm_ard_3-2-1_52JEL_2023-02-12_final.stac-item
2023-02-13 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2023-02-13_final.stac-item
2023-02-24 11:32:37	ga_s2bm_ard_3-2-1_51KYV_2023-02-24_final.stac-item
2023-02-25 11:04:21	ga_s2bm_ard_3-2-1_52JDT_2023-02-25_final.stac-item
2023-03-10 11:16:45	ga_s2bm_ard_3-2-1_51HXD_2023-03-10_final.stac-item
2023-03-29 11:41:59	ga_s2bm_ard_3-2-1_51LWC_2023-03-29_final.stac-item
2023-04-12 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2023-04-12_final.stac-item
2023-04-18 11:41:57	ga_s2bm_ard_3-2-1_51LWC_2023-04-18_final.stac-item
2023-04-19 11:15:20	ga_s2bm_ard_3-2-1_52JCP_2023-04-19_final.stac-item
2023-04-25 11:35:28	ga_s2bm_ard_3-2-1_51JVJ_2023-04-25_final.stac-item
2023-06-27 11:43:01	ga_s2bm_ard_3-2-1_51KVU_2023-06-27_final.stac-item
2023-06-28 11:15:23	ga_s2bm_ard_3-2-1_52JCP_2023-06-28_final.stac-item
2023-08-02 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2023-08-02_final.stac-item
2023-09-08 11:56:00	ga_s2bm_ard_3-2-1_50JLN_2023-09-08_final.stac-item
2023-09-11 12:03:23	ga_s2bm_ard_3-2-1_50KNC_2023-09-11_final.stac-item
2023-11-15 11:14:20	ga_s2bm_ard_3-2-1_52JCT_2023-11-15_final.stac-item
2023-11-28 11:22:36	ga_s2bm_ard_3-2-1_51KZV_2023-11-28_final.stac-item
2024-01-04 11:16:23	ga_s2bm_ard_3-2-1_51HYE_2024-01-04_final.stac-item
2024-01-10 11:32:20	ga_s2bm_ard_3-2-1_51KYA_2024-01-10_final.stac-item
2024-02-12 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2024-02-12_final.stac-item
2024-02-20 11:05:27	ga_s2bm_ard_3-2-1_52JFN_2024-02-20_final.stac-item
2024-02-21 12:14:09	ga_s2bm_ard_3-2-1_49KFR_2024-02-21_nrt.stac-item
2024-03-03 11:42:24	ga_s2bm_ard_3-2-1_51KVA_2024-03-03_final.stac-item
2024-03-03 11:44:56	ga_s2bm_ard_3-2-1_51JTL_2024-03-03_final.stac-item
2024-03-07 11:24:09	ga_s2bm_ard_3-2-1_51KWP_2024-03-07_final.stac-item
2024-04-01 12:14:30	ga_s2bm_ard_3-2-1_49KFP_2024-04-01_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