土地覆盖分类产品（MCD12Q1.006）
【摘要】 简介土地覆盖分类产品（MCD12Q1.006）数据集是采用2001-2019年度获取的 MODIS Terra和Aqua反射率数据进行监督分类，并结合先验知识和辅助信息进一步完善特定类别得到的土地覆盖分类产品。Landsat-8卫星包含OLI（Operational Land Imager 陆地成像仪）和TIRS（Thermal Infrared Sensor 热红外传感器）两种传感器，每...
简介
土地覆盖分类产品（MCD12Q1.006）数据集是采用2001-2019年度获取的 MODIS Terra和Aqua反射率数据进行监督分类，并结合先验知识和辅助信息进一步完善特定类别得到的土地覆盖分类产品。
Landsat-8卫星包含OLI（Operational Land Imager 陆地成像仪）和TIRS（Thermal Infrared Sensor 热红外传感器）两种传感器，每16天可以实现一次全球覆盖。
该数据集分辨率为500米，每个数据包含13个波段（土地覆盖类型1-5层、土地覆盖性质1-3层、土地覆盖性质评估1-3层、质量控制(QC)层和一个水掩膜层）。土地覆盖类型1-5层（LC_Type1-5）包含的五种土地覆盖类型如下：
(1)土地覆盖分类1：IGBP的全球植被分类方案
(2)土地覆盖分类2：美国马里兰大学（UMD格式）分类方案
(3)土地覆盖分类3：基于MODIS叶面积指数/光合有效辐射分类方案
(4)土地覆盖分类4：基于MODIS叶面积指数/光合有效辐射分类方案
(5)土地覆盖分类5：植物功能型（肺功能）分类方案
数据集ID:
USGS/MCD12Q1/006
时间范围: 2001年-2019年
范围: 全球
来源:
复制代码段:
var images = pie.ImageCollection("USGS/MCD12Q1/006")
| 名称 | 单位 | 类型 | 无效值 | 值域范围 | 描述信息 |
|---|---|---|---|---|---|
| LC_Type1 | Class | unit 8-bit | 255 | 1~17 | Land Cover Type 1: Annual International Geosphere - Biosphere Programme(IGBP) classification |
| LC_Type2 | Class | unit 8-bit | 255 | 0~15 | Land Cover Type 2:Annual University of Maryland(UMD) classification |
| LC_Type3 | Class | unit 8-bit | 255 | 0~10 | Land Cover Type 3: Annual Leaf Area Index(LAI) classification |
| LC_Type4 | Class | unit 8 - bit | 255 | 0~8 | Land Cover Type 4:Annual BIOME-Biogeochemical Cycles(BGC) classification |
| LC_Type5 | Class | unit 8-bit | 255 | 0~11 | Land Cover Type 5: Annual Plant Functional Types classification |
| LC_Prop1 | Class | unit 8 - bit | 255 | 1~43 | FAO-Land Cover Classification System 1(LCCS1)land cover layer |
| LC_Prop2 | Class | unit 8-bit | 255 | 1~40 | FAO - LCCS2 land use layer |
| LC_Prop3 | Class | unit 8 - bit | 255 | 1~51 | FAO-LCCS3 surface hydrology layer |
| LC_Prop1_Assessmen | Percent | unit 8-bit | 255 | 0~100 | LCCS1 land cover layer confidence |
| LC_Prop2_Assessmen | Percent | unit 8 - bit | 255 | 0~100 | LCCS2 land use layer confidence |
| LC_Prop3_Assessmen | Percent | unit 8-bit | 255 | 0~100 | LCCS3 surface hydrology layer confidence |
| QC | Quality Flag | unit 8 - bit | 255 | 0~10 | Product quality flags |
| LW | Class | unit 8-bit | 255 | 1~2 | Binary land(class 2) / water(class 1) mask derived from MOD44W |
| QC Class Table | ||
|---|---|---|
| value | Description | |
| 0 | Classified land: has a classification label and is land according to the water mask. | |
| 1 | Unclassified land: not classified because of missing data but land according to the water mask, labeled as barren. | |
| 2 | Classified water: has a classification label and is water according to the water mask. | |
| 3 | Unclassified water: not classified because of missing data but water according to the water mask. | |
| 4 | Classified sea ice: classified as snow/icebut water mask says it is water and less than 100 m elevation, switched to water. | |
| 5 | Misclassified water: classified as water but water mask says it is land, switched to secondary label. | |
| 6 | Omitted snow / ice: land according to the water mask that was classified as something other than snow but with a maximum annual temperature below 1◦ C, relabeled as snow / ice. | |
| 7 | Misclassified snow/ice: land according to the water mask that was classified as snow but with a minimum annual temperature greater than 1◦ C, relabeled as barren. | |
| 8 | Backfilled label: missing label from stabilization, filled with the pre-stabilized result. | |
| 9 | Forest type changed: climate - based change to forest class. | |
| LW Class Table | ||
|---|---|---|
| Value | Color | Description |
| 0 | 1 c0dff | Water |
| 1 | f9ffa4 | Land |
名称 |
范围 |
描述 |
|---|
date |
string |
影像日期 |
代码：
/**
* @File : MCD12Q1
* @Time : 2020/7/21
* @Author : piesat
* @Version : 1.0
* @Contact : 400-890-0662
* @License : (C)Copyright 航天宏图信息技术股份有限公司
* @Desc : 加载全球土地覆盖分类(MCD12Q1.006)数据集
*/
//加载全球土地覆盖分类(MCD12Q1.006)数据
var img = pie.ImageCollection('USGS/MCD12Q1/006')
.filterDate("2001-01-01", "2002-12-31")
.select("LC_Type1")
.mosaic();
print(img);
//设置预览参数
var visLC = {min: 1, max: 17,
palette: ['05450a', '086a10', '54a708', '78d203', '009900',
'c6b044', 'dcd159', 'dade48', 'fbff13', 'b6ff05',
'27ff87', 'c24f44', 'a5a5a5', 'ff6d4c', '69fff8',
'f9ffa4', '1c0dff']};
//加载显示影像
Map.addLayer(img, visLC, "img");
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