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Xiaosong Li and Jin Zhang

Abstract

The green vegetation fraction Fg, which represents the horizontal density of live vegetation, is an important parameter for the study of global energy, carbon, hydrological, and biogeochemical cycling. A common method of calculating Fg is to create a simple linear mixing model between two NDVI endmembers: bare soil NDVI, , and full vegetation NDVI, . However, many uncertainties exist for the determination of these parameters at large scales. The present study investigates how and determination can impact Fg calculations for all of China, based on different land-cover datasets, hyperspectral data, and soil type classification maps. The results show the following: 1) The regional ChinaCover dataset, with higher accuracy and more detailed classification, is preferable for calculating Fg in China, compared with the most commonly used MOD12Q1 dataset, although it would not lead to too much difference in values. 2) The soil NDVI from Hyperion datasets shows that soils have highly variable NDVI values (0.006–0.2), and 79.36% of the area studied has a much larger NDVI value than the commonly used value of 0.05. Therefore, the dynamic values with different soil types are much better for Fg calculation than the invariant value (0.05), which would yield a significant overestimation of Fg, especially for areas with low vegetation coverage. 3) A high-quality Fg dataset for China from 2000 to 2010 was established with and parameters based on MOD13Q1 250-m NDVI data.

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Zhengqiu Zhang, Xiuji Zhou, Weiliang Li, and Michael Sparrow

Abstract

In this paper a scheme is presented for calculating the land surface energy budget based on the first law of thermodynamics. It takes into account the effects of water multiphase changes and hydrologic process. The enthalpy expression for a heterogeneous land surface is deduced, during which latent heats are assumed to be functions of temperature. Also, a solution is derived for calculating ground temperatures during the water phase transition and the hydrologic process. This study results in a more conservative estimate of the ground energy in comparison with many other land surface schemes.

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