Estimating fractional woody/herbaceous cover based on multiple spatial data and air-ground co-sampling: taking East Asian steppe as an example

doi:10.13474/j.cnki.11-2246.2022.0007

Abstract

Abstract: Fractional vegetation cover is the comprehensive description of vegetation growth, which is a base index for researching the interaction between global change and vegetation patterns. In this paper, we propose an approach for estimating fractional woody and herbaceous cover using multiple spatial datasets and air-ground co-sampling in East Asian steppe. Here are main conclusions:the accuracy of the estimation can be improved within the approach. The results of model evaluation show that the model is more robust when estimating woody cover. This method can response to sparse woody plants and be used for understanding the patterns and dynamics of vegetation cover in large grasslands.

Key words: fractional vegetation cover, multiple spatial data, air-ground co-sampling, East Asian steppe

CLC Number:

P237

LIU Xu, ZHANG Ning, XU Xiaotian, AN Chao, XU Shixiang, LI Cheng. Estimating fractional woody/herbaceous cover based on multiple spatial data and air-ground co-sampling: taking East Asian steppe as an example[J]. Bulletin of Surveying and Mapping, 2022, 0(1): 39-43,55.

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