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ECOSTRESS Tiled Land Surface Temperature and Emissivity Instantaneous L2 Global 70 m V003

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Global Change Master Directory (GCMD)2026-04-23 更新2026-04-25 收录
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https://cmr.earthdata.nasa.gov/search/concepts/C3998139651-LPCLOUD.html
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The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52° N and 52° S latitudes. The ECOSTRESS Tiled Land Surface Temperature and Emissivity Instantaneous Level 2 Global 70 m (ECO_L2T_LSTE) Version 3 data product provides atmospherically corrected land surface temperature and emissivity (LST&E) values derived from the five thermal infrared (TIR) bands using the Temperature-Emissivity Separation (TES) algorithm. In addition, a Sea Surface Temperature (SST) layer is included that is valid over all water surfaces (ocean and inland water). The L2 LST&E and SST algorithms run on all pixels regardless of land, ocean, or cloud. This tiled data product is subset from the ECO_L2G_LSTE data product using a modified version of the Military Grid Reference System ([MGRS](https://hls.gsfc.nasa.gov/products-description/tiling-system/)) which divides Universal Transverse Mercator (UTM) zones into square tiles that are 109.8 km by 109.8 km with a 70 meter (m) spatial resolution. The ECO_L2T_LSTE Version 3 data product is provided in Cloud Optimized GeoTIFF (COG) format, and each variable is distributed as a separate COG. Each granule contains 18 variables of LST, quality control flags (QC), band emissivities (bands 1-5), band emissivity error (bands 1-5), wideband emissivity (EmisWB), SST, cloud_mask, water_mask, view_zenith, and height. Known Issues * Solar Array Obstruction: Some ECOSTRESS scenes may be affected by solar array obstructions from the ISS, potentially impacting data quality in obstructed pixels. The 'FieldOfViewObstruction' metadata field is reliably populated and accurate for all products generated on or after October 2024, following fixes to the PGE docker configuration and updates to the L1A_RAW_PIX software. Prior to October 2024, the field was not reliably populated; a [list of confirmed affected scenes](https://lpdaac.usgs.gov/documents/2249/obst_all_sort.txt) was maintained and is recommended for verifying historical data. * Historical acquisition gaps and anomalies (2018–2023): Irrecoverable data loss occurred due to Mass Storage Unit (MSU) failures, resulting in permanent gaps in the observational record where no ECOSTRESS data was acquired. Other early issues, including band 4 striping (Feb 2020), 3-band TES mode limitations (May 2019–April 2023), and noisy data periods (e.g., May–July 2025), have been mitigated through reprocessing, firmware updates, and instrument recovery. Version 3 products incorporate these improvements where data exists and are unaffected by ongoing issues, but the permanent historical gaps remain, and caution is advised for time-series analyses spanning affected periods. * Product formats: Version 3 discontinues swath-based (non-gridded) HDF5 products for Level 2 LST&E and Cloud outputs. Only gridded ([ECO_L2G_LSTE](https://doi.org/10.5067/ECOSTRESS/ECO_L2G_LSTE.003) and [ECO_L2G_CLOUD](https://doi.org/10.5067/ECOSTRESS/ECO_L2G_CLOUD.003) in HDF5) and tiled ([ECO_L2T_LSTE](https://doi.org/10.5067/ECOSTRESS/ECO_L2T_LSTE.003) in Cloud-Optimized GeoTIFF) formats are available for Level 2 products. Swath-based products remain available for Level 1 products (e.g., ECO_L1B_RAD, ECO_L1B_GEO). Version 3 discontinues HDF5 products for Level 2 STARS, Level 3 Evapotranspiration, and Level 4 Evaporative Stress Index, and Water Use Efficiency outputs. Only tiled (Cloud-Optimized GeoTIFF) formats remain available for these products. Users transitioning from Version 2 should verify compatibility with the new structures. * Geolocation considerations: While geolocation is improved in Collection 3 tiled products (fixed MGRS grid), gridded products may reference legacy "GeolocationAccuracyQA" flags. Use "best" and "good" scenes for applications sensitive to precise positioning.

空间站生态系统星载热辐射计实验(ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station, ECOSTRESS)任务通过测量植物温度,以深入解析植物需水量及其对胁迫的响应机制。该实验搭载于国际空间站(International Space Station, ISS),在南北纬52°之间的全球范围内采集数据。 ECOSTRESS分幅地表温度与发射率瞬时二级全球70米(ECO_L2T_LSTE)版本3数据产品,提供经过大气校正的地表温度与发射率(Land Surface Temperature and Emissivity, LST&E)数据,该数据基于5个热红外(Thermal Infrared, TIR)波段,通过温度-发射率分离(Temperature-Emissivity Separation, TES)算法反演得到。此外,产品还包含适用于所有水体表面(海洋与内陆水域)的海表温度(Sea Surface Temperature, SST)图层。L2级LST&E与SST算法可覆盖所有像素,无论其位于陆地、海洋还是云层之上。该分幅数据产品由ECO_L2G_LSTE数据产品子集化而来,采用改进版军事格参考系统(Military Grid Reference System, MGRS,https://hls.gsfc.nasa.gov/products-description/tiling-system/)进行分幅,该系统将通用横轴墨卡托(Universal Transverse Mercator, UTM)分区划分为109.8km×109.8km的方形瓦片,空间分辨率为70米。 ECO_L2T_LSTE版本3数据产品以云优化GeoTIFF(Cloud Optimized GeoTIFF, COG)格式提供,每个变量均以独立的COG文件分发。每份数据粒包含18个变量:地表温度、质量控制标志(quality control flags, QC)、波段发射率(1-5波段)、波段发射率误差(1-5波段)、宽带发射率(EmisWB)、海表温度、云掩膜、水体掩膜、观测天顶角与高程。 已知问题 * 太阳阵列遮挡:部分ECOSTRESS影像可能受到国际空间站太阳阵列的遮挡影响,潜在干扰受遮挡像素的数据质量。2024年10月及之后生成的所有产品,其“视场遮挡(FieldOfViewObstruction)”元数据字段已完成可靠填充且准确,这得益于PGE Docker配置的修复与L1A_RAW_PIX软件的更新。2024年10月之前,该字段无法可靠填充;建议通过[受影响影像确认列表](https://lpdaac.usgs.gov/documents/2249/obst_all_sort.txt)验证历史数据。 * 2018–2023年历史采集缺口与异常:由于大容量存储单元(Mass Storage Unit, MSU)故障,出现不可恢复的数据丢失,导致观测记录中出现永久性数据采集缺口。其他早期问题包括:2020年2月的第4波段条纹噪声、2019年5月至2023年4月的3波段TES模式限制,以及2025年5月至7月的噪声数据时段,上述问题均已通过重新处理、固件更新与仪器恢复得到缓解。版本3产品在数据可用的情况下已纳入上述改进,不受当前问题影响,但永久性历史缺口依然存在,对涉及受影响时段的时间序列分析需谨慎。 * 产品格式:版本3不再支持L2级LST&E与云输出的条带式(非网格化)HDF5产品。L2级产品仅支持网格化(HDF5格式的[ECO_L2G_LSTE](https://doi.org/10.5067/ECOSTRESS/ECO_L2G_LSTE.003)与[ECO_L2G_CLOUD](https://doi.org/10.5067/ECOSTRESS/ECO_L2G_CLOUD.003))与分幅(云优化GeoTIFF格式的[ECO_L2T_LSTE](https://doi.org/10.5067/ECOSTRESS/ECO_L2T_LSTE.003))格式。L1级产品仍保留条带式产品(如ECO_L1B_RAD、ECO_L1B_GEO)。版本3不再支持L2级STARS、L3级蒸散、L4级蒸发胁迫指数与水分利用效率输出的HDF5产品,此类产品仅保留分幅(云优化GeoTIFF)格式。从版本2迁移的用户需验证与新数据结构的兼容性。 * 地理定位考量:虽然第三版分幅产品的地理定位已得到改进(采用固定的MGRS网格),但网格化产品可能仍引用旧版“地理定位质量保证(GeolocationAccuracyQA)”标志。对定位精度敏感的应用,请使用“最佳”与“良好”等级的影像。
提供机构:
LPCLOUD
创建时间:
2026-04-23
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