Exploiting synergies of global land cover products for carbon cycle modeling
Exploiting synergies of global land cover products for carbon cycle modeling
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DOI：
10.1016/j.rse.2006.01.020
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发表时间：
2006-04-30
影响因子：
13.5
通讯作者：
Churkina, G
中科院分区：
文献类型：
--
作者：
Jung, M;Henkel, K;Churkina, G
在过去的十年中，科学界已经可以获得一些来自卫星观测的全球土地覆盖数据集。它们提供了有关地球陆地表面现状的宝贵信息。然而，它们之间存在相当大的分歧，而且分类图例主要不适合碳循环模型参数化等特定应用，这给此类数据集的使用带来了重大挑战和不确定性。本文针对全球土地覆盖产品的用户群体。我们首先回顾并比较了几种全球土地覆盖产品，即全球土地覆盖特征数据库 (GLCC)、全球土地覆盖 2000 (GLC2000) 和 MODIS 土地覆盖产品，并强调了制图方法的各自优点和缺点。我们的总体目标是提出一种简单的方法，将现有产品合并到所需的分类图例中。该过程遵循证据收敛的思想，并使用模糊一致性生成“最佳估计”数据集。我们应用我们的方法开发了一种新的联合 I-km 全球土地覆盖产品 (SYNMAP)，该产品具有改进的碳循环模型土地覆盖参数化特征，可减少碳预算计算中的土地覆盖不确定性。SYNMAP 图例的总体优点是，所有类别都根据植物功能类型混合物进行了正确定义，可以进行遥感，并包括每个类别与树组件的叶子类型和寿命的定义。 SYNMAP 目前用于三个全球植被模型的欧洲模型比对计划中的参数化：BIOME-BGC、LPJ 和 ORCHIDEE。SYNMAP 与 GLCC、GLC2000 和 MODIS 土地覆盖产品的验证揭示了 SYNMAP 与所有其他土地覆盖产品的一致性得到了改善，因此表明不同产品之间协同作用的成功探索。然而，鉴于我们无法使用参考数据提供广泛的验证，我们无法证明 SYNMAP 实际上更准确。 SYNMAP 可根据 Martin Jung 的要求提供。 (c) 2006 Elsevier Inc. 保留所有权利。
Within the past decade, several global land cover data sets derived from satellite observations have become available to the scientific community. They offer valuable information on the current state of the Earth's land surface. However, considerable disagreements among them and classification legends not primarily suited for specific applications such as carbon cycle model parameterizations pose significant challenges and uncertainties in the use of such data sets.This paper addresses the user community of global land cover products. We first review and compare several global land cover products, i.e. the Global Land Cover Characterization Database (GLCC), Global Land Cover 2000 (GLC2000), and the MODIS land cover product, and highlight individual strengths and weaknesses of mapping approaches. Our overall objective is to present a straightforward method that merges existing products into a desired classification legend. This process follows the idea of convergence of evidence and generates a 'best-estimate' data set using fuzzy agreement. We apply our method to develop a new joint I-km global land cover product (SYNMAP) with improved characteristics for land cover parameterization of the carbon cycle models that reduces land cover uncertainties in carbon budget calculations.The overall advantage of the SYNMAP legend is that all classes are properly defined in terms of plant functional type mixtures, which can be remotely sensed and include the definitions of leaf type and longevity for each class with a tree component. SYNMAP is currently used for parameterization in a European model intercomparison initiative of three global vegetation models: BIOME-BGC, LPJ, and ORCHIDEE.Corroboration of SYNMAP against GLCC, GLC2000 and MODIS land cover products reveals improved agreement of SYNMAP with all other land cover products and therefore indicates the successful exploration of synergies between the different products. However, given that we cannot provide extensive validation using reference data we are unable to prove that SYNMAP is actually more accurate. SYNMAP is available on request from Martin Jung. (c) 2006 Elsevier Inc. All rights reserved.