Google Earth Engine ——MCD12Q2 V6土地覆盖动态产品（非正式地称为MODIS全球植被表征产品）提供全球范围内的植被表征时间估计

The MCD12Q2 V6 Land Cover Dynamics product (informally called the MODIS Global Vegetation Phenology product) provides estimates of the timing of vegetation phenology at global scales. Additionally, it provides information related to the range and summation of the enhanced vegetation index (EVI) computed from MODIS surface reflectance data at each pixel. It identifies the onset of greenness, greenup midpoint, maturity, peak greenness, senescence, greendown midpoint, dormancy, EVI2 minimum, EVI2 amplitude, integrated EVI2 over a vegetation cycle, as well as overall and phenology metric-specific quality information. The MCD12Q2 Version 6 data product is derived from time series of the 2-band Enhanced Vegetation Index (EVI2) calculated from MODIS Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR). Vegetation phenology metrics are identified for up to two detected growing cycles per year. For pixels with more than two valid vegetation cycles, the data represent the two cycles with the largest NBAR-EVI2 amplitudes.

MCD12Q2 V6土地覆盖动态产品（非正式地称为MODIS全球植被表征产品）提供全球范围内的植被表征时间估计。此外，它还提供了与每个像素的MODIS表面反射率数据计算的增强植被指数（EVI）的范围和总和有关的信息。它确定了绿化的开始、绿化的中点、成熟、绿化的峰值、衰老、绿化的中点、休眠、EVI2的最小值、EVI2的振幅、一个植被周期的综合EVI2，以及整体和物候学指标的具体质量信息。MCD12Q2第6版数据产品来自于从MODIS天底双向反射分布函数（BRDF）-调整反射率（NBAR）计算的双波段增强植被指数（EVI2）的时间序列。植被物候学指标是针对每年最多两个检测到的生长周期进行识别。对于具有两个以上有效植被周期的像素，数据代表具有最大NBAR-EVI2振幅的两个周期。

Dataset Availability

2001-01-01T00:00:00 - 2019-01-01T00:00:00

Dataset Provider

NASA LP DAAC at the USGS EROS Center

Collection Snippet

ee.ImageCollection("MODIS/006/MCD12Q2")

Resolution

500 meters

Bands Table

Class Table: QA_Overall_1

Class Table: QA_Overall_2

使用说明：

MODIS data and products acquired through the LP DAAC have no restrictions on subsequent use, sale, or redistribution.

通过LP DAAC获得的MODIS数据和产品对后续使用、销售或再分配没有限制。

引用

代码：

var dataset = ee.ImageCollection('MODIS/006/MCD12Q2')
                  .filter(ee.Filter.date('2001-01-01', '2002-01-01'));
var vegetationPeak = dataset.select('Peak_1');
var vegetationPeakVis = {
  min: 11400,
  max: 11868,
  palette: ['0f17ff', 'b11406', 'f1ff23'],
};
Map.setCenter(6.746, 46.529, 2);
Map.addLayer(
    vegetationPeak, vegetationPeakVis,
    'Vegetation Peak 2001');