Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50HNK_2017-07-18_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HPK_2017-08-27_final.stac-item
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JLL_2017-09-29_final.stac-item
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49KHR_2017-11-04_final.stac-item
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KUS_2018-03-25_final.stac-item
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51KUV_2018-04-14_final.stac-item
2018-08-02 11:38:21	ga_s2bm_ard_3-2-1_51KWB_2018-08-02_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JMN_2018-08-05_final.stac-item
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51KUT_2018-08-19_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_50JKN_2018-09-07_final.stac-item
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50JLL_2018-09-14_final.stac-item
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51JXM_2018-10-05_final.stac-item
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51KUT_2018-10-21_final.stac-item
2018-12-03 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2018-12-03_final.stac-item
2019-04-22 11:56:47	ga_s2bm_ard_3-2-1_50HLK_2019-04-22_final.stac-item
2019-05-09 11:44:24	ga_s2bm_ard_3-2-1_50KRU_2019-05-09_final.stac-item
2019-05-19 11:43:27	ga_s2bm_ard_3-2-1_50KRC_2019-05-19_final.stac-item
2019-06-24 12:06:12	ga_s2bm_ard_3-2-1_50JLM_2019-06-24_final.stac-item
2019-07-25 11:34:08	ga_s2bm_ard_3-2-1_51KVQ_2019-07-25_final.stac-item
2019-08-14 11:32:21	ga_s2bm_ard_3-2-1_51KWB_2019-08-14_final.stac-item
2019-09-03 11:34:18	ga_s2bm_ard_3-2-1_51JXN_2019-09-03_final.stac-item
2019-09-19 11:55:15	ga_s2bm_ard_3-2-1_50JPQ_2019-09-19_final.stac-item
2019-11-08 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2019-11-08_final.stac-item
2019-11-09 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2019-11-09_final.stac-item
2020-01-03 12:14:55	ga_s2bm_ard_3-2-1_49JFM_2020-01-03_final.stac-item
2020-01-07 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2020-01-07_final.stac-item
2020-02-10 11:33:33	ga_s2bm_ard_3-2-1_51KXR_2020-02-10_final.stac-item
2020-02-23 11:42:24	ga_s2bm_ard_3-2-1_51KVA_2020-02-23_final.stac-item
2020-03-17 11:52:26	ga_s2bm_ard_3-2-1_50KQF_2020-03-17_final
2020-04-26 11:53:12	ga_s2bm_ard_3-2-1_50KQC_2020-04-26_final.stac-item
2020-05-09 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2020-05-09_final.stac-item
2020-06-22 11:42:16	ga_s2bm_ard_3-2-1_51KVB_2020-06-22_final.stac-item
2020-07-09 11:36:45	ga_s2bm_ard_3-2-1_51HUD_2020-07-09_final.stac-item
2020-07-19 11:32:44	ga_s2bm_ard_3-2-1_51KVV_2020-07-19_final.stac-item
2020-07-29 11:33:44	ga_s2bm_ard_3-2-1_51KWR_2020-07-29_final.stac-item
2020-08-10 12:14:11	ga_s2bm_ard_3-2-1_50KKV_2020-08-10_final.stac-item
2020-08-17 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2020-08-17_final.stac-item
2020-09-04 11:24:26	ga_s2bm_ard_3-2-1_51JYN_2020-09-04_final.stac-item
2020-09-06 12:03:23	ga_s2bm_ard_3-2-1_50KNC_2020-09-06_final.stac-item
2020-09-17 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2020-09-17_final.stac-item
2020-09-26 12:04:16	ga_s2bm_ard_3-2-1_50KKV_2020-09-26_final.stac-item
2020-11-26 11:36:57	ga_s2bm_ard_3-2-1_51HUC_2020-11-26_final.stac-item
2020-12-13 11:22:23	ga_s2bm_ard_3-2-1_51KYA_2020-12-13_final.stac-item
2020-12-26 11:34:26	ga_s2bm_ard_3-2-1_51JVN_2020-12-26_final.stac-item
2021-01-04 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-01-04_final.stac-item
2021-02-04 11:34:24	ga_s2bm_ard_3-2-1_51JWN_2021-02-04_final.stac-item
2021-02-21 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2021-02-21_final.stac-item
2021-03-16 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2021-03-16_final.stac-item
2021-05-11 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2021-05-11_final.stac-item
2021-05-25 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2021-05-25_final
2021-06-03 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2021-06-03_final.stac-item
2021-06-24 11:37:01	ga_s2bm_ard_3-2-1_51HTC_2021-06-24_final.stac-item
2021-07-30 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2021-07-30_final.stac-item
2021-08-06 11:43:23	ga_s2bm_ard_3-2-1_51KUT_2021-08-06_final.stac-item
2021-08-19 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2021-08-19_final.stac-item
2021-08-29 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2021-08-29_final.stac-item
2021-09-19 11:22:57	ga_s2bm_ard_3-2-1_51KXU_2021-09-19_final.stac-item
2021-09-29 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2021-09-29_final.stac-item
2021-10-02 11:35:26	ga_s2bm_ard_3-2-1_51JVJ_2021-10-02_final.stac-item
2021-10-12 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2021-10-12_final.stac-item
2021-10-31 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2021-10-31_final.stac-item
2021-12-08 11:26:31	ga_s2bm_ard_3-2-1_51HXD_2021-12-08_final.stac-item
2021-12-11 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2021-12-11_final.stac-item
2021-12-17 11:56:05	ga_s2bm_ard_3-2-1_50JLM_2021-12-17_final.stac-item
2022-02-05 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2022-02-05_final.stac-item
2022-02-06 11:23:08	ga_s2bm_ard_3-2-1_51KXT_2022-02-06_final.stac-item
2022-03-04 11:42:10	ga_s2bm_ard_3-2-1_51KVB_2022-03-04_final.stac-item
2022-03-24 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2022-03-24_final.stac-item
2022-05-03 11:43:16	ga_s2bm_ard_3-2-1_50KQC_2022-05-03_final.stac-item
2022-05-13 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2022-05-13_final.stac-item
2022-05-17 11:24:40	ga_s2bm_ard_3-2-1_51JXM_2022-05-17_final.stac-item
2022-06-26 11:23:01	ga_s2bm_ard_3-2-1_51KYU_2022-06-26_final.stac-item
2022-07-15 11:56:22	ga_s2bm_ard_3-2-1_50JNL_2022-07-15_final.stac-item
2022-07-21 12:13:59	ga_s2bm_ard_3-2-1_50KKA_2022-07-21_final.stac-item
2022-07-22 11:42:18	ga_s2bm_ard_3-2-1_51KVB_2022-07-22_final.stac-item
2022-08-25 11:23:10	ga_s2bm_ard_3-2-1_51KYT_2022-08-25_final.stac-item
2022-08-30 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2022-08-30_final.stac-item
2022-09-13 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2022-09-13_final.stac-item
2022-10-07 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2022-10-07_final.stac-item
2022-12-26 11:35:26	ga_s2bm_ard_3-2-1_51JVJ_2022-12-26_final.stac-item
2023-01-24 12:03:39	ga_s2bm_ard_3-2-1_50KLB_2023-01-24_final.stac-item
2023-02-07 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2023-02-07_final
2023-02-24 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2023-02-24_final
2023-02-27 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2023-02-27_final
2023-04-01 11:56:43	ga_s2bm_ard_3-2-1_50HLK_2023-04-01_final
2023-04-12 11:26:37	ga_s2bm_ard_3-2-1_51HXD_2023-04-12_final
2023-04-21 11:56:16	ga_s2bm_ard_3-2-1_50JKM_2023-04-21_final
2023-06-03 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2023-06-03_final
2023-06-20 11:56:08	ga_s2bm_ard_3-2-1_50JNM_2023-06-20_final
2023-07-04 11:33:47	ga_s2bm_ard_3-2-1_51KWR_2023-07-04_final
2023-08-16 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2023-08-16_final
2023-08-22 12:04:32	ga_s2bm_ard_3-2-1_50KKU_2023-08-22_final
2023-09-22 11:33:12	ga_s2bm_ard_3-2-1_51KXT_2023-09-22_final
2023-11-14 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2023-11-14_final
2023-12-08 11:26:55	ga_s2bm_ard_3-2-1_51HVC_2023-12-08_final
2023-12-10 12:04:24	ga_s2bm_ard_3-2-1_50KKU_2023-12-10_final
2023-12-18 11:27:02	ga_s2bm_ard_3-2-1_51HUC_2023-12-18_final
2024-01-03 11:42:22	ga_s2bm_ard_3-2-1_51KWA_2024-01-03_final
2024-02-15 11:56:05	ga_s2bm_ard_3-2-1_50JNM_2024-02-15_final
2024-03-16 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2024-03-16_final

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years