The Terra MODIS Vegetation Continuous Fields (VCF) product is a sub-pixel-level representation of surface vegetation cover estimates globally. Designed to continuously represent Earth's terrestrial surface as a proportion of basic vegetation traits, it provides a gradation of three surface cover components: percent tree cover, percent non-tree cover, and percent bare. VCF products provide a continuous, quantitative portrayal of land surface cover with improved spatial detail, and hence, are widely used in environmental modeling and monitoring applications.
Generated yearly, the VCF product is produced using monthly composites of Terra MODIS 250 and 500 meters Land Surface Reflectance data, including all seven bands, and Land Surface Temperature.
Documentation:
Terra MODIS植被连续场(VCF)产品是全球地表植被估计的亚像素级表示。它被设计成连续代表地球陆地表面基本植被特征的比例,它提供了三种表面覆盖成分的梯度:树木覆盖百分比、非树木覆盖百分比和裸露百分比。VCF产品提供了一个连续的、定量的土地表面覆盖的描述,具有更好的空间细节,因此,被广泛用于环境建模和监测应用。
VCF产品每年生成一次,使用Terra MODIS 250米和500米地表反射率数据(包括所有七个波段)和地表温度的月度合成物。
Dataset Availability
2000-03-05T00:00:00 - 2020-03-05T00:00:00
Dataset Provider
NASA LP DAAC at the USGS EROS Center
Collection Snippet
ee.ImageCollection("MODIS/006/MOD44B")
Resolution
250 meters
Bands Table
Name | Description | Min | Max | Units | Scale |
---|---|---|---|---|---|
Percent_Tree_Cover | Percent of a pixel which is covered by tree canopy | 0 | 100 | % | 0 |
Percent_NonTree_Vegetation | Percent of a pixel which is covered by non-tree vegetation | 0 | 100 | % | 0 |
Percent_NonVegetated | Percent of a pixel which is not vegetated | 0 | 100 | % | 0 |
Quality | Describes those inputs that had poor quality (cloudy, high aerosol, cloud shadow, or view zenith >45°). Each bit in the field represents 1 out of 8 input surface reflectance files to the model. | 0 | |||
Quality Bitmask | Bit 0: State of input layers DOY 065-097 0: Clear1: BadBit 1: State of input layers DOY 113-145 0: Clear1: BadBit 2: State of input layers DOY 161-193 0: Clear1: BadBit 3: State of input layers DOY 209-241 0: Clear1: BadBit 4: State of input layers DOY 257-289 0: Clear1: BadBit 5: State of input layers DOY 305-337 0: Clear1: BadBit 6: State of input layers DOY 353-017 0: Clear1: BadBit 7: State of input layers DOY 033-045 0: Clear1: Bad | ||||
Percent_Tree_Cover_SD | Standard deviation (SD) of the 30 models that were used to generate the pixel value in the percent tree cover data layer | 0 | 32767 | % | 0.01 |
Percent_NonVegetated_SD | Standard deviation (SD) of the 30 models that were used to generate the pixel value in the percent non-vegetated data layer | 0 | 32767 | % | 0.01 |
Cloud | Clarifies the 'Quality' layer to give the user an indication that the 'bad' data refers to cloudy input data. Each bit in the field represents 1 out of 8 input surface reflectance files to the model. | 0 | |||
Cloud Bitmask | Bit 0: State of input layers DOY 065-097 0: Clear1: CloudyBit 1: State of input layers DOY 113-145 0: Clear1: CloudyBit 2: State of input layers DOY 161-193 0: Clear1: CloudyBit 3: State of input layers DOY 209-241 0: Clear1: CloudyBit 4: State of input layers DOY 257-289 0: Clear1: CloudyBit 5: State of input layers DOY 305-337 0: Clear1: CloudyBit 6: State of input layers DOY 353-017 0: Clear1: CloudyBit 7: State of input layers DOY 033-045 0: Clear1: Cloudy |
Percent_Tree_Cover_SDStandard deviation (SD) of the 30 models that were used to generate the pixel value in the percent tree cover data layer032767%0.01Percent_NonVegetated_SDStandard deviation (SD) of the 30 models that were used to generate the pixel value in the percent non-vegetated data layer032767%0.01CloudClarifies the 'Quality' layer to give the user an indication that the 'bad' data refers to cloudy input data. Each bit in the field represents 1 out of 8 input surface reflectance files to the model.0Cloud Bitmask
使用说明:
MODIS data and products acquired through the LP DAAC have no restrictions on subsequent use, sale, or redistribution.
数据引用:
Please visit LP DAAC 'Citing Our Data' page for information on citing LP DAAC datasets.
代码:
var dataset = ee.ImageCollection('MODIS/006/MOD44B');
var visualization = {
bands: ['Percent_Tree_Cover'],
min: 0.0,
max: 100.0,
palette: ['bbe029', '0a9501', '074b03']
};
Map.centerObject(dataset);
Map.addLayer(dataset, visualization, 'Percent Tree Cover');