GEE Whittaker Smoothed LAI (2000-2025)

• MODIS LAI 2000-2025, MODIS_LAI_WHITV016.js, (update 2026-01-11)
• VIIRS LAI 2012-2025, VIIRS_LAI_WHITV001.js, (update 2026-03-08)

2022.10之后MODIS LAI存在显著轨道漂移，MODIS LAI无法继续使用。

VIIRS Costs (v2026-03-08)

Task	EECU-Seconds		Task	EECU-Seconds
LAI_8day_2020_2025_1_0	5,091,763.5000		LAI_8day_2020_2025_0_0	4,148,185.2500
LAI_8day_2020_2025_1_1	7,004,491.0000		LAI_8day_2020_2025_0_1	6,204,074.5000
LAI_8day_2020_2025_1_2	5,411,984.5000		LAI_8day_2020_2025_0_2	5,759,838.0000
LAI_8day_2020_2025_1_3	7,172,942.0000		LAI_8day_2020_2025_0_3	5,287,771.5000
LAI_8day_2020_2025_1_4	5,265,798.0000		LAI_8day_2020_2025_0_4	4,585,453.5000

共计15,536.75 EE-Hours，5550$！。

https://cloud.google.com/earth-engine/pricing

折扣层级	阈值	分级价格
层级 1	消耗 0 到 10,000 EECU 小时	$0.40
层级 2	消耗了 10,000 到 500,000 EECU 小时	$0.28
层级 3	500,000 EECU 小时及以上	$0.16

Highlights

• 保护双生长季信号

• 保护干旱响应信号

• EBF质量提升

数据

• 500m, 8-day, 2000-2025

  https://code.earthengine.google.com/?asset=projects/gee-hydro/MODIS_Terra_LAI/MOD15A2H_V061_LAI_whittaker_v16

  var col = ee.ImageCollection('projects/gee-hydro/MODIS_Terra_LAI/MOD15A2H_V061_LAI_whittaker_v16');

  全球被划分成了3*5 tiles, 需使用下面的代码进行拼接：MODIS_LAI_WHITV016.js。

• 0.1deg, 8-day, 2000-2025

  稍后上传

Reference

[1] Kong, D., Zhang, Y.*, Gu, X., & Wang, D. (2019). A robust method for reconstructing global MODIS EVI time series on the Google Earth Engine. ISPRS Journal of Photogrammetry and Remote Sensing, 155, 13–24.

[2] Kong, D., McVicar, T. R., Xiao, M., Zhang, Y., Peña-Arancibia, J. L., Filippa, G., Xie, Y., Gu, X. (2022). phenofit: An R package for extracting vegetation phenology from time series remote sensing. Methods in Ecology and Evolution, 13, 1508-1527. https://doi.org/10.1111/2041-210X.13870

效果展示

洪旱响应

喜马拉雅

亚马逊

华北双生长季

四川盆地