简介此数据集包含来自 Sentinel-1 (DSWX-S1) 的 3 级动态 OPERA 地表水范围。DSWx-S1 可提供近乎全球的陆地地表水范围地理位置信息空间分辨率为 30 米采用军事网格参考系统 (MGRS) 网格系统时间重访频率为 6-12 天。DSWx-S1 地图使用 Sentinel-1 雷达观测数据可显示面积大于 3 公顷且宽度大于 200 米的内陆开放水体不受云层状况和日光照射的影响而这些因素往往会给光学传感器带来挑战。DSWx-S1 数据记录的前向生产于 2024 年 9 月开始。数据集说明空间信息数据集可用时间2024-08-01T00:00:00Z–2026-03-31T21:23:24Z数据集生产者NASA JPLEarth Engine 代码段ee.ImageCollection(OPERA/DSWX/L3_V1/S1)变量Resolution30 metersBands TableNameDescriptionResolutionWTR_Water_classificationMasked interpreted water classification layer. This represents pixel-wise classification into one of three water classes (not water, open water and inundated vegetation), masks (HAND mask and layover/shadow mask), or no data classes.30 metersBWTR_Binary_waterThe binary water map is derived from the WTR layer as a union of water classes (open water and inundated vegetation) into a binary map indicating areas with and without water. Invalid data classes (HAND masked, layover/shadow masked and fill value) are also provided to indicate areas in which the binary classification does not provide water/not water classification.30 metersCONF_ConfidenceA representation of the confidence associated with the WTR classification that is based on DIAG results. For example, the Open water class of the WTR layer is split into two classes: High Confidence and Moderate Confidence. Additionally, this layer includes areas characterized by low backscattering that are not water: Low-backscattering not water and land cover masked. Detailed explanations of these classifications are outlined in the DSWx-S1 ATBD. Similar to the WTR and BWTR layers, the Confidence (CONF) layer also marks pixels where water detection is challenging or unfeasible due to factors like layover/shadow effects, no-data areas, and regions where water presence is hydrologically unrealistic (identified by HAND mask).30 metersDIAG_diagnosticA metric of Fuzzy values is computed using ancillary data, including HAND, terrain slope angle, reference water, and RTC-S1 backscattering, applying specific thresholds. These values fall within a range of 0 to 100, where a higher value signifies a greater likelihood of the presence of open water.30 metersClass Table: WTR_Water_classificationValueColorColor ValueDescription0#ffffffNot water - an area with valid data that is not open water (class 1), inundated vegetation (class 3), height above nearest drainage masked (class 250), or layover/shadow masked (class 251). Masking can result in “not water” (class 0) where land cover masking is applied.1#0000ffOpen water - an area that is entirely water and unobstructed to the sensor, including obstructions by vegetation, terrain, and buildings.3#66c2a5Inundated vegetation - an area that is considered inundated, extracted from the high value in dual polarization ratio and the wetland class in land cover map.250#d3d3d3Height Above Nearest Drainage (HAND) masked - an area where topographic height is higher than the HAND threshold.251#a9a9a9Layover/shadow masked - an area identified as layover or shadow computed from the geometry of the digital elevation model and sensor. The area is directly copied from input burst RTC-S1 products.254#000080Ocean masked - an area identified as ocean using a shoreline database with an added margin.Class Table: BWTR_Binary_waterValueColorColor ValueDescription0#ffffffNot water - an area with valid data that is not water (class 1) and not HAND masked (class 252), layover or shadow (class 253)1#0000ffwater - an area classified as open water or inundated vegetation (see WTR layer).250#d3d3d3Height Above Nearest Drainage (HAND) masked - an area where topographic height is higher than the HAND threshold.251#a9a9a9Layover/shadow masked - an area identified as layover or shadow computed from the geometry of the digital elevation model and sensor. The area is directly copied from input burst RTC-S1 products.Class Table: CONF_ConfidenceValueColorColor ValueDescription0#ffffffNot water - an area with valid data that is not open water high-confidence (class 1), open water moderate-confidence (class 2), inundated vegetation (class 3), low-backscattering not water estimated from bimodality test(class 5), low-backscattering not water estimated from ancillary mask (class 6), height above nearest drainage masked (class 250), or layover/shadow masked (class 251).1#0000ffOpen water high-confidence - an area that is entirely water and unobstructed to the sensor, including obstructions by vegetation, terrain, and buildings and is not overlapping with wetland areas in the Input land cover map.2#0088ffOpen water moderate-confidence - an area with higher backscattering than initial thresholds, considered as water due to the unimodal distribution with surrounding water pixels and not overlapping with wetland areas in the Input land cover map.5#66c2a5Potential inundated vegetation - an area with a high dual polarization ratio that is not overlapping with wetland areas in the input land cover map.6#e0e0e0Low-backscattering not water (bimodality test) - an area with lower backscattering than thresholds, not considered water based on the bimodality test, and not overlapping with wetland areas in the input land cover map.7#ccccccLow-backscattering not water (ancillary mask) - an area with lower backscattering than the threshold, considered not water based on historical records of water extents, backscattering level, slope angle, and land cover classes, and not overlapping with wetland areas in the input land cover map.30#aaaaaaNot water - an area with valid data that is not open water high-confidence (class 31), open water moderate-confidence (class 32), inundated vegetation (class 35), low-backscattering not water estimated from bimodality test(class 36), lowbackscattering not water estimated from ancillary mask (class 37), height above nearest drainage masked (class 250), or layover/shadow masked (class 251) and overlap with wetland areas in the Input land cover map.31#0040ffOpen water high-confidence - an area entirely composed of water, unobstructed to the sensor by vegetation, terrain, or buildings, and overlapping with wetland areas in the input land cover map.32#4080ffOpen water moderate-confidence - an area with higher backscattering than initial thresholds, considered water due to its unimodal distribution with surrounding water pixels, and overlapping with wetland areas in the input land cover map35#20b2aaInundated vegetation - an area considered inundated due to a high value in dual polarization ratio and overlapping with wetland areas in the input land cover map.36#bbbbbbLow-backscattering not water (bimodality test) - an area with lower backscattering than thresholds, not considered water based on the bimodality test, and overlapping with wetland areas in the input land cover map.37#888888Low-backscattering not water (ancillary mask) - an area with lower backscattering than the threshold, considered not water based on historical records of water extents, backscattering level, slope angle, and land cover classes, and overlapping with wetland areas in the input land cover map.250#d3d3d3Height Above Nearest Drainage (HAND) masked - an area where topographic height is higher than the HAND threshold.251#a9a9a9Layover/shadow masked - an area identified as layover or shadow computed from the geometry of the digital elevation model and sensor. The area is directly copied from input burst RTC products.Class Table: DIAG_diagnosticValueColorColor ValueDescription0#bb0000Fuzzy value associated with the WTR classification that is computed from backscattering intensity, reference water, slope angle, and HAND values. (Values 0 to 100)252#d3d3d3Height Above Nearest Drainage (HAND) masked - an area where topographic height is higher than the HAND threshold.253#a9a9a9Layover/shadow masked - an area identified as layover or shadow computed from the geometry of the digital elevation model and sensor. The area is directly copied from input burst RTC-S1 products.代码Map.setCenter(13.1921, 55.7069, 10); var dswx_s1_collection ee.ImageCollection(OPERA/DSWX/L3_V1/S1) .filterDate(2025-03-01, 2025-10-01); // Mask out values 252 before calculating the mode we dont // want to have clouds or snow/ice be included. var masked_collection dswx_s1_collection.map(function(image) { var wtr image.select(WTR_Water_classification); return wtr.updateMask(wtr.lt(252)); }); var dswx_s1 masked_collection .reduce(ee.Reducer.max()) .rename(WTR_Water_classification); var wtr_class_values [ 0, // Not water 1, // Open water 2, //Partial surface water 252, // Snow/ice 253, // Cloud/cloud shadow 254 // Ocean masked ]; var wtr_palette [ ffffff, // Not water 0000ff, // Open water 0088ff, // Partial surface water f2f2f2, // Snow/ice dfdfdf, // Cloud/cloud shadow da00ff, // Ocean masked ]; // Select the water classification band and remap to make have palette vis. var wtr_band dswx_s1.select(WTR_Water_classification); var to [0, 1, 2, 3, 4, 5]; var wtr_remapped wtr_band.remap(wtr_class_values, to); Map.addLayer( wtr_remapped, {min: 0, max: 5, palette: wtr_palette}, Water Classification (Remapped));数据属性NameTypeDescriptionDSWX_PRODUCT_VERSIONStringThe DSWx-S1 product versionLAYOVER_SHADOW_COVERAGEDoubleThe percentage of layover and shadow in the DSWx-S1 product based on OPERA RTC-S1 product.POLARIZATIONStringPolarizations (e.g. VV, VH)PROCESSING_DATETIMEStringDSWx-S1 product processing date. Format: YYYY-MM-DDTHH:MM:SSZ.RTC_ORBIT_PASS_DIRECTIONStringOrbit direction (e.g. Ascending or Descending).RTC_PRODUCT_VERSIONStringThe version of OPERA RTC algorithm used for RTC products.SENSORStringName of the sensor instrument (e.g., IW)SPACECRAFT_NAMEStringName of the sensor platform (e.g., Sentinel-1A/B)SPATIAL_COVERAGEDoubleThe area percentage of the tile with data.代码链接https://code.earthengine.google.com/ca7c7b9e2602a91f8fee85da4cd80cf7结果引用许可OPERA . 2024. OPERA Dynamic Surface Water Extent from Sentinel-1 product (Version 1). Ver. 1.0. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/OPDSWS1-L3V1https://www.cbedai.net/xg