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
2017-11-06 11:13:39	ga_s2bm_ard_3-2-1_51JYK_2017-11-06_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HLH_2017-11-15_final
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HLG_2018-01-07_final.stac-item
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HLG_2018-02-06_final.stac-item
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HMH_2018-02-06_final
2018-02-23 11:44:25	ga_s2bm_ard_3-2-1_50JML_2018-02-23_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HMH_2018-02-26_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50KKB_2018-03-01_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KWA_2018-03-02_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HLG_2018-03-05_final.stac-item
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49JFM_2018-03-14_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51HUD_2018-03-19_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JNL_2018-03-25_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JPM_2018-03-25_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JPN_2018-03-25_final
2018-03-29 11:23:39	ga_s2bm_ard_3-2-1_51JUG_2018-03-29_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50HQH_2018-04-01_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JNN_2018-04-04_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JPT_2018-04-04_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_50JPL_2018-04-11_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50KRD_2018-04-14_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HNJ_2018-04-14_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HPJ_2018-04-14_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JKP_2018-04-17_final
2018-04-18 11:23:34	ga_s2bm_ard_3-2-1_51HUE_2018-04-18_final
2018-04-21 11:26:19	ga_s2bm_ard_3-2-1_51KVV_2018-04-21_final
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49KHS_2018-04-23_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HMK_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JML_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JQQ_2018-04-24_final
2018-06-30 11:27:56	ga_s2bm_ard_3-2-1_51KVS_2018-06-30_final
2018-07-03 11:38:24	ga_s2bm_ard_3-2-1_51KVS_2018-07-03_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51JXN_2018-07-10_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HPG_2018-08-02_final.stac-item
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HNG_2018-08-22_final.stac-item
2018-09-08 11:37:08	ga_s2bm_ard_3-2-1_50HNG_2018-09-08_final.stac-item
2018-11-30 11:43:07	ga_s2bm_ard_3-2-1_51KVT_2018-11-30_final
2019-04-06 11:37:30	ga_s2bm_ard_3-2-1_50HNG_2019-04-06_final.stac-item
2019-04-29 11:45:40	ga_s2bm_ard_3-2-1_50JQP_2019-04-29_final
2019-04-29 11:46:12	ga_s2bm_ard_3-2-1_50JPM_2019-04-29_final
2019-05-06 11:37:25	ga_s2bm_ard_3-2-1_50HQG_2019-05-06_final.stac-item
2019-05-09 11:43:26	ga_s2bm_ard_3-2-1_51KTT_2019-05-09_final
2019-05-19 11:43:12	ga_s2bm_ard_3-2-1_51KTU_2019-05-19_final
2019-05-19 11:47:29	ga_s2bm_ard_3-2-1_50HNG_2019-05-19_final.stac-item
2019-06-28 11:42:25	ga_s2bm_ard_3-2-1_51KUB_2019-06-28_final.stac-item
2019-08-17 11:43:03	ga_s2bm_ard_3-2-1_51KVU_2019-08-17_final
2019-08-24 11:33:27	ga_s2bm_ard_3-2-1_51KUT_2019-08-24_final
2019-11-06 11:14:29	ga_s2bm_ard_3-2-1_51JYN_2019-11-06_final
2019-12-16 11:16:53	ga_s2bm_ard_3-2-1_51HWC_2019-12-16_final.stac-item
2020-02-10 11:37:21	ga_s2bm_ard_3-2-1_50HNG_2020-02-10_final.stac-item
2020-03-14 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2020-03-14_final
2020-03-24 11:43:34	ga_s2bm_ard_3-2-1_51KVR_2020-03-24_final
2020-03-31 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2020-03-31_final
2020-05-10 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2020-05-10_final
2020-05-13 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2020-05-13_final
2020-05-20 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2020-05-20_final
2020-06-15 11:56:07	ga_s2bm_ard_3-2-1_50JNM_2020-06-15_final
2020-07-03 11:17:01	ga_s2bm_ard_3-2-1_51HWC_2020-07-03_final.stac-item
2020-07-06 11:24:17	ga_s2bm_ard_3-2-1_51KWP_2020-07-06_final
2020-10-10 11:43:47	ga_s2bm_ard_3-2-1_51KUR_2020-10-10_final
2021-02-17 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2021-02-17_final.stac-item
2021-03-29 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2021-03-29_final
2021-04-18 11:43:10	ga_s2bm_ard_3-2-1_51KUT_2021-04-18_final
2021-05-22 11:24:02	ga_s2bm_ard_3-2-1_51KWQ_2021-05-22_final
2021-07-13 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2021-07-13_final
2021-07-30 11:53:05	ga_s2bm_ard_3-2-1_50KQD_2021-07-30_final.stac-item
2021-08-23 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2021-08-23_final
2021-08-23 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2021-08-23_final
2021-09-01 12:03:20	ga_s2bm_ard_3-2-1_50KMC_2021-09-01_final
2021-11-24 11:43:07	ga_s2bm_ard_3-2-1_51KVT_2021-11-24_final
2021-12-04 11:42:12	ga_s2bm_ard_3-2-1_51KUB_2021-12-04_final.stac-item
2022-02-12 11:42:57	ga_s2bm_ard_3-2-1_51KTU_2022-02-12_final
2022-02-22 11:42:51	ga_s2bm_ard_3-2-1_51KVU_2022-02-22_final
2022-03-04 11:42:54	ga_s2bm_ard_3-2-1_51KVU_2022-03-04_final
2022-03-21 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2022-03-21_final
2022-03-31 11:34:07	ga_s2bm_ard_3-2-1_51KWP_2022-03-31_final
2022-06-19 11:34:04	ga_s2bm_ard_3-2-1_51KVQ_2022-06-19_final
2022-08-02 11:17:03	ga_s2bm_ard_3-2-1_51HWC_2022-08-02_final.stac-item
2022-08-21 11:43:13	ga_s2bm_ard_3-2-1_51KVT_2022-08-21_final
2022-09-11 11:17:01	ga_s2bm_ard_3-2-1_51HWC_2022-09-11_final.stac-item
2023-02-24 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2023-02-24_final.stac-item
2023-03-16 11:33:20	ga_s2bm_ard_3-2-1_51KVT_2023-03-16_final.stac-item
2023-04-25 11:33:58	ga_s2bm_ard_3-2-1_51KWQ_2023-04-25_final.stac-item
2023-05-05 11:33:19	ga_s2bm_ard_3-2-1_51KVT_2023-05-05_final.stac-item
2023-06-10 11:53:15	ga_s2bm_ard_3-2-1_50KRC_2023-06-10_final.stac-item
2023-06-18 11:14:34	ga_s2bm_ard_3-2-1_51JYN_2023-06-18_final.stac-item
2023-06-23 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2023-06-23_final.stac-item
2023-06-24 11:33:38	ga_s2bm_ard_3-2-1_51KUS_2023-06-24_final.stac-item
2023-07-17 11:42:22	ga_s2bm_ard_3-2-1_51KUB_2023-07-17_final.stac-item
2023-08-06 11:43:30	ga_s2bm_ard_3-2-1_51KVS_2023-08-06_final.stac-item
2023-08-06 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2023-08-06_final.stac-item
2023-08-13 11:33:28	ga_s2bm_ard_3-2-1_51KUT_2023-08-13_final.stac-item
2023-09-12 11:33:48	ga_s2bm_ard_3-2-1_51KVR_2023-09-12_final.stac-item
2023-10-21 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-10-21_final.stac-item
2023-11-14 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2023-11-14_final.stac-item
2023-11-14 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2023-11-14_final.stac-item
2023-12-21 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2023-12-21_final.stac-item
2023-12-24 11:42:18	ga_s2bm_ard_3-2-1_51KUB_2023-12-24_final.stac-item
2023-12-24 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2023-12-24_final.stac-item
2023-12-31 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2023-12-31_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