美国土地变化监测、评估和预测（LCMAP）v1.2
土地变化监测、评估和预测（LCMAP）v1.2
土地变化监测、评估和预测（LCMAP）是美国地质调查局地球资源观测与科学中心（EROS）的新一代土地覆盖制图和变化监测。与以前的工作相比，LCMAP以更高的频率满足了对更高质量结果的需求，并增加了土地覆盖和变化的变量。LCMAP系列1.2产品已于2021年11月发布，包括1985-2020年的LCMAP产品。
LCMAP科学产品文件包含产品的细节、描述和注意事项，可以在这里下载。
夏威夷的1.0系列已于1月19日发布，更多信息可在这里找到。
| Additional Resources | Links |
|---|---|
| LCMAP website | |
| Algorithm description document | |
| RSS Feed | |
| Validation (these are tables) | |
| Reference data (these are points) | |
| USGS LCMAP Publications |
LCMAP产品
LCMAP根据美国地质调查局对CCDC的实施提供了10种科学产品。这些科学产品为每个CONUS ARD瓦片提供1985-2019年的年度产品，并提供CONUS级下载，用于GEE收集。地表变化产品，简称为 "SC"，直接由CCDC时间序列模型生成。土地覆盖产品，简称为 "LC"，是由时间序列模型的分类产生的。注意，为了优化大小，GeoTiff文件经过了无损的LZW压缩。
| Product Name | Short Name | Product Description |
|---|---|---|
| Time of Spectral Change | SCTIME | Indicator of a spectral change in the current year and the specific timing (day-of-year - DOY) within the year. |
| Change Magnitude | SCMAG | Indicator of a spectral change in the current year and degree of change. |
| Spectral Stability Period | SCSTAB | Time, in days, that the spectral time series has been in its current state. |
| Time Since Last Change | SCLAST | Time, in days, since the last identified Spectral Change (SCTIME). |
| Spectral Model Quality | SCMQA | Information regarding the type of time series model applied on July 1 of the current year. |
| Primary Land Cover | LCPRI | The most likely Level 1 land cover class on July 1 of the current year |
| Primary Land Cover Confidence | LCPCONF | Measure of confidence that the Primary Land Cover label matches the training data. |
| Secondary Land Cover | LCSEC | The second most likely Level 1 land cover class on July 1 of the current year |
| Secondary Land Cover Confidence | LCSCONF | Measure of confidence that the Secondary Land Cover label matches the training data. |
| Annual Land Cover Change | LCACHG | Synthesis of Primary Land Cover of current and previous year identifying changes in land cover class. |
Product Specifications
该产品规格允许了解分类与连续数据集，并告知金字塔政策，以便摄取到谷歌地球引擎。
| Short Name | Data Type | Units | Range | Valid Range | Fill Value |
|---|---|---|---|---|---|
| SCTIME | UINT16 | DOY | 0-65535 | 0-366 | 0 |
| SCMAG | FLOAT32 | Unitless | -3.4e+38 - +3.4e+38 | 0 to +3.4e+38 | 0 |
| SCSTAB | UINT16 | Days | 0-65535 | 0-65535 | 0 |
| SCLAST | UINT16 | Days | 0-65535 | 0-65535 | 0 |
| SCMQA | UINT8 | Discrete | 0-255 | 0- 4,6,8,14,24,44,54 | 0 |
| LCPRI | UINT8 | Discrete | 0-255 | 0-8 | 0 |
| LCPCONF | UINT8 | 0-255 | 0-255 | 0 | |
| LCSEC | UINT8 | Discrete | 0-255 | 0-8 | 0 |
| LCSCONF | UINT8 | 0-255 | 0-255 | 0 | |
| LCACHG | UINT8 | Discrete | 0-255 | 0-87 | 0 |
LCMAP Level 1 Land Cover Classes
For classification of thematic land cover, LCMAP implements a Level 1 classification schema similar to an Anderson Level 1 (Anderson et al., 1976) representing dominant land cover classes most relevant to remotely monitoring land change.
| Land Cover Class | Description |
|---|---|
| Developed | Areas of intensive use with much of the land covered with structures (e.g., high-density residential, commercial, industrial, mining, or transportation), or less intensive uses where the land cover matrix includes vegetation, bare ground, and structures (e.g., low-density residential, recreational facilities, cemeteries, transportation/utility corridors, etc.), including any land functionality related to the developed or built-up activity. |
| Cropland | Land in either a vegetated or unvegetated state used in production of food, fiber, and fuels. This includes cultivated and uncultivated croplands, hay lands, orchards, vineyards, and confined livestock operations. Forest plantations are considered as forests or woodlands (Tree Cover class) regardless of the use of the wood products. |
| Grass/Shrub | Land predominantly covered with shrubs and perennial or annual natural and domesticated grasses (e.g., pasture), forbs, or other forms of herbaceous vegetation. The grass and shrub cover must comprise at least 10% of the area and tree cover is less than 10% of the area. |
| Tree Cover | Tree-covered land where the tree cover density is greater than 10%. Cleared or harvested trees (i.e., clearcuts) will be mapped according to current cover (e.g., Barren, Grass/Shrub). |
| Water | Areas covered with water, such as streams, canals, lakes, reservoirs, bays, or oceans. |
| Wetland | Lands where water saturation is the determining factor in soil characteristics, vegetation types, and animal communities. Wetlands are composed of mosaics of water, bare soil, and herbaceous or wooded vegetated cover. |
| Ice/Snow | Land where accumulated snow and ice does not completely melt during the summer period (i.e., perennial ice/snow). |
| Barren | Land comprised of natural occurrences of soils, sand, or rocks where less than 10% of the area is vegetated. |
文献引用：
对LCMAP参考数据产品的使用没有任何限制。这不是数据使用的要求，但在出版物或演示材料中可使用以下引文，以确认美国地质调查局是数据来源，并归功于原始研究。
LCMAP参考数据产品由美国地质调查局地球资源观测与科学中心提供。
Brown, J.F., Tollerud, H.J., Barber, C.P., Zhou, Q., Dwyer, J.L., Vogelmann, J.E., Loveland, T.R., Woodcock, C.E., Stehman, S.V., Zhu, Z.,
Pengra, B.W., Smith, K., Horton, J.A., Xian, G., Auch, R.F., Sohl, T.L., Sayler, K.L., Gallant, A.L., Zelenak, D., Reker, R.R., and Rover, J.,
2020 Lessons learned implementing an operational continuous United States national land change monitoring capability—The Land Change Monitoring,
Assessment, and Projection (LCMAP) approach: Remote Sensing of Environment, v. 238, article 111356, at https://doi.org/10.1016/j.rse.2019.111356.
Zhu, Z., and Woodcock, C.E., 2014, Continuous change detection and classification of land cover using all available Landsat data: Remote Sensing
of Environment, v. 144, p. 152–171, at https://doi.org/10.1016/j.rse.2014.01.011.
Sample code:
I have also added the reference dataset to be used with the other 10 LCMAP products, which is about 25000 plot level datasets.
Sample code:
Reference Publications:
- Brown, Jesslyn F., Heather J. Tollerud, Christopher P. Barber, Qiang Zhou, John L. Dwyer, James E. Vogelmann, Thomas R. Loveland et al. "Lessons learned implementing an operational continuous United States national land change monitoring capability: The Land Change Monitoring, Assessment, and Projection (LCMAP) approach." Remote Sensing of Environment 238 (2020): 111356.
- Zhu, Zhe, and Curtis E. Woodcock. "Continuous change detection and classification of land cover using all available Landsat data." Remote sensing of Environment 144 (2014): 152-171.
- Zhou, Qiang, Heather Tollerud, Christopher Barber, Kelcy Smith, and Daniel Zelenak. "Training data selection for annual land cover classification for the land change monitoring, assessment, and projection (LCMAP) initiative." Remote Sensing 12, no. 4 (2020): 699.
- Stehman, Stephen V., Bruce W. Pengra, Josephine A. Horton, and Danika F. Wellington. "Validation of the US Geological Survey's Land Change Monitoring, Assessment and Projection (LCMAP) Collection 1.0 annual land cover products 1985–2017." Remote Sensing of Environment 265 (2021): 112646.
License
LCMAP data are freely available to the public (similar to a CC0 license) and are generated by leveraging other national programs including the Landsat satellite program
Created by: U.S. Geological Survey Center for Earth Resources Observation and Science (EROS)
Curated by: Samapriya Roy
Keywords: Landsat, ARD, Land Cover, Spectral Change, USGS, EROS
Last updated: 2022-05-04
Changelog
USGS posted a notification for v1.2, so datasets were reprocessed and ingested
Last update: 5 months ago
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