期刊论文

Wang, Guangxing

英文

Remote Sensing

2072-4292

2018

10

8

1248-

10.3390/rs10081248

H.S., Q.W. and G. designed the conceptualization and method of this study; X.X., L.R. and H.S. collected the field data and images; H.S. completed the calculation and analysis, and the original draft; G.W. secured the funding, provided the supervision, wrote and revised the manuscript; H.L., P.L., J.L., and S.Z. completed the validation and provided suggestions for analysis. This research was funded by the National Bureau to Combat Desertification, State Forestry Administration of China (101-9899), the Fellowship from the China Scholarship Council (201608430021), Hunan Province Science and Technology Plan Project (2015RS4048, 2016SK2026), the China Postdoctoral Science Foundation Project (2014M562147), and Central South University of Forestry and Technology (101-0990).

本校为第一且通讯机构

Land degradation and desertification in arid and semi-arid areas is of great concern. Accurately mapping percentage vegetation cover (PVC) of the areas is critical but challenging because the areas are often remote, sparsely vegetated, and rarely populated, and it is difficult to collect field observations of PVC. Traditional methods such as regression modeling cannot provide accurate predictions of PVC in the areas. Nonparametric constant k-nearest neighbors (Cons_kNN) has been widely used in estimation of forest parameters and is a good alternative because of its flexibility. However, using ...