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
2017-07-25 11:28:36	ga_s2bm_ard_3-2-1_51KWQ_2017-07-25_final.stac-item
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_51KTU_2017-10-06_final.stac-item
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KWQ_2017-11-12_final.stac-item
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51JUF_2017-11-19_final.stac-item
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51KUS_2017-12-25_final.stac-item
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50KQA_2018-01-17_final.stac-item
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51KVT_2018-04-11_final.stac-item
2018-05-10 12:05:05	ga_s2bm_ard_3-2-1_50JKN_2018-05-10_final.stac-item
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_50JKP_2018-05-30_final.stac-item
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_51HTC_2018-06-30_final.stac-item
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51KWQ_2018-09-25_final.stac-item
2018-11-17 11:32:26	ga_s2bm_ard_3-2-1_51KWA_2018-11-17_final.stac-item
2018-11-23 11:53:14	ga_s2bm_ard_3-2-1_50KQC_2018-11-23_final.stac-item
2018-12-10 11:43:23	ga_s2bm_ard_3-2-1_51KUS_2018-12-10_final.stac-item
2019-01-15 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2019-01-15_final.stac-item
2019-01-16 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2019-01-16_final.stac-item
2019-02-21 11:53:09	ga_s2bm_ard_3-2-1_50KQC_2019-02-21_final.stac-item
2019-04-13 11:24:20	ga_s2bm_ard_3-2-1_51KWP_2019-04-13_final.stac-item
2019-04-26 11:33:08	ga_s2bm_ard_3-2-1_51KVU_2019-04-26_final.stac-item
2019-07-05 11:35:13	ga_s2bm_ard_3-2-1_51JTL_2019-07-05_final.stac-item
2019-09-06 11:42:59	ga_s2bm_ard_3-2-1_51KVU_2019-09-06_final.stac-item
2019-09-23 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2019-09-23_final.stac-item
2019-10-16 11:47:18	ga_s2bm_ard_3-2-1_50HMH_2019-10-16_final.stac-item
2019-11-05 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2019-11-05_final.stac-item
2020-01-24 11:43:13	ga_s2bm_ard_3-2-1_51KTT_2020-01-24_final.stac-item
2020-02-09 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2020-02-09_final.stac-item
2020-05-30 11:32:13	ga_s2bm_ard_3-2-1_51KXB_2020-05-30_final.stac-item
2020-06-29 11:34:13	ga_s2bm_ard_3-2-1_51KWP_2020-06-29_final.stac-item
2020-07-09 11:34:01	ga_s2bm_ard_3-2-1_51KVQ_2020-07-09_final.stac-item
2020-07-15 11:56:23	ga_s2bm_ard_3-2-1_50JML_2020-07-15_final.stac-item
2020-07-16 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2020-07-16_final.stac-item
2020-07-28 12:03:22	ga_s2bm_ard_3-2-1_50KNC_2020-07-28_final.stac-item
2020-08-27 12:04:35	ga_s2bm_ard_3-2-1_49KGP_2020-08-27_final.stac-item
2020-09-07 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2020-09-07_final.stac-item
2020-09-07 11:34:02	ga_s2bm_ard_3-2-1_51KVQ_2020-09-07_final.stac-item
2020-09-16 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2020-09-16_final.stac-item
2020-10-26 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2020-10-26_final.stac-item
2021-01-11 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2021-01-11_final
2021-01-22 11:24:37	ga_s2bm_ard_3-2-1_51JYM_2021-01-22_final.stac-item
2021-01-25 11:34:14	ga_s2bm_ard_3-2-1_51KVP_2021-01-25_final.stac-item
2021-02-11 11:26:57	ga_s2bm_ard_3-2-1_51HVC_2021-02-11_final.stac-item
2021-03-09 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2021-03-09_final.stac-item
2021-04-14 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2021-04-14_final.stac-item
2021-05-25 11:34:06	ga_s2bm_ard_3-2-1_51KXP_2021-05-25_final.stac-item
2021-06-01 11:26:19	ga_s2bm_ard_3-2-1_51JUF_2021-06-01_final.stac-item
2021-06-14 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2021-06-14_final
2021-07-07 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2021-07-07_final.stac-item
2021-08-12 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2021-08-12_final.stac-item
2021-08-13 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2021-08-13_final
2021-08-22 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2021-08-22_final.stac-item
2021-08-23 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2021-08-23_final
2021-09-02 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2021-09-02_final.stac-item
2021-10-05 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2021-10-05_final.stac-item
2021-10-05 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2021-10-05_final.stac-item
2021-10-08 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2021-10-08_final.stac-item
2021-10-16 11:14:42	ga_s2bm_ard_3-2-1_51JYM_2021-10-16_final.stac-item
2021-11-05 11:16:59	ga_s2bm_ard_3-2-1_51HWC_2021-11-05_final
2021-11-13 12:13:39	ga_s2bm_ard_3-2-1_50KKB_2021-11-13_final.stac-item
2021-11-14 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2021-11-14_final.stac-item
2021-11-24 11:43:32	ga_s2bm_ard_3-2-1_51KVR_2021-11-24_final.stac-item
2021-12-08 11:24:24	ga_s2bm_ard_3-2-1_51JWN_2021-12-08_final.stac-item
2021-12-11 11:36:46	ga_s2bm_ard_3-2-1_50HPJ_2021-12-11_final.stac-item
2022-01-03 11:43:39	ga_s2bm_ard_3-2-1_51KUR_2022-01-03_final.stac-item
2022-04-24 11:15:51	ga_s2bm_ard_3-2-1_51JXG_2022-04-24_final.stac-item
2022-05-06 11:53:13	ga_s2bm_ard_3-2-1_50KQC_2022-05-06_final.stac-item
2022-06-09 11:34:27	ga_s2bm_ard_3-2-1_51JWN_2022-06-09_final.stac-item
2022-07-18 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2022-07-18_final.stac-item
2022-08-21 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2022-08-21_final.stac-item
2022-09-03 11:55:22	ga_s2bm_ard_3-2-1_50JNQ_2022-09-03_final.stac-item
2022-09-14 11:27:00	ga_s2bm_ard_3-2-1_51HVC_2022-09-14_final.stac-item
2022-10-07 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2022-10-07_final.stac-item
2022-10-10 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2022-10-10_final.stac-item
2022-12-23 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2022-12-23_final.stac-item
2023-01-01 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2023-01-01_final.stac-item
2023-01-18 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2023-01-18_final.stac-item
2023-02-14 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2023-02-14_nrt.stac-item
2023-02-14 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2023-02-14_final
2023-02-14 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2023-02-14_final
2023-04-08 11:42:12	ga_s2bm_ard_3-2-1_51KWB_2023-04-08_final
2023-04-15 11:34:11	ga_s2bm_ard_3-2-1_51KWP_2023-04-15_final
2023-06-10 11:52:25	ga_s2bm_ard_3-2-1_50KQG_2023-06-10_final
2023-06-14 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2023-06-14_final
2023-06-17 11:42:21	ga_s2bm_ard_3-2-1_51KUB_2023-06-17_final
2023-06-17 11:43:02	ga_s2bm_ard_3-2-1_51KVU_2023-06-17_final
2023-07-27 11:43:24	ga_s2bm_ard_3-2-1_51KTT_2023-07-27_final
2023-07-30 11:56:10	ga_s2bm_ard_3-2-1_50JNM_2023-07-30_final
2023-08-12 12:03:29	ga_s2bm_ard_3-2-1_50KMC_2023-08-12_final
2023-08-16 11:43:14	ga_s2bm_ard_3-2-1_51KVT_2023-08-16_final
2023-09-12 11:34:14	ga_s2bm_ard_3-2-1_51KWP_2023-09-12_final
2023-10-01 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2023-10-01_final
2023-10-15 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2023-10-15_final
2023-10-31 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2023-10-31_final
2023-12-11 11:33:31	ga_s2bm_ard_3-2-1_51KUS_2023-12-11_final
2023-12-14 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2023-12-14_final
2024-01-09 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2024-01-09_final
2024-03-19 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2024-03-19_final
2024-04-19 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2024-04-19_final
2024-04-29 11:36:57	ga_s2bm_ard_3-2-1_51HUC_2024-04-29_final
2024-05-05 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2024-05-05_final
2024-05-13 11:15:07	ga_s2bm_ard_3-2-1_51JYK_2024-05-13_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