青藏高原生态资产评估遥感反演叶面积指数数据集（2000-2017）

青藏高原生态资产评估遥感反演基础数据集包括了青藏高原自2000年起年度的植被覆盖度(FVC)，净初级生产力(NPP)和叶面积指数(LAI)等基于遥感反演的生态参数，以供区域尺度生态资产评估研究使用。叶面积指数数据主要基于已有MODIS MCD15A2产品，通过基于TSF滤波的叶面积指数估算改进方法及尺度下推方法来完成。为了验证数据精度，在全国范围内均匀布设了746个样地，包括76个农田样点、47个草地样点、467个森林样点和156个灌木样点，均为在30米*30米样地内使用LAI-2000、LAI-2200或TRAC等专用设备获得。The Basic Remote Sensing Retrieval Dataset for Ecological Asset Assessment on the Qinghai-Tibet Plateau contains annual remote sensing-retrieved ecological parameters including Fractional Vegetation Cover (FVC), Net Primary Productivity (NPP), and Leaf Area Index (LAI) for the Qinghai-Tibet Plateau since 2000, which is intended for regional-scale ecological asset assessment research. The Leaf Area Index (LAI) dataset is primarily developed based on the existing MODIS MCD15A2 product, via improved LAI estimation methods coupled with TSF filtering and scale downscaling approaches. To validate the data accuracy, 746 sampling plots were uniformly distributed across China, comprising 76 farmland plots, 47 grassland plots, 467 forest plots and 156 shrub plots. All field measurements were conducted within 30 m × 30 m sample plots using specialized instruments such as LAI-2000, LAI-2200 or TRAC.

搜集汇总

背景与挑战

背景概述

该数据集提供了青藏高原2000年至2017年基于遥感反演的叶面积指数（LAI）数据，主要用于区域生态资产评估。数据基于MODIS MCD15A2产品，采用TSF滤波和尺度下推方法改进生成，并通过746个样点进行精度验证，确保数据可靠性。