Remote sensing detection of vegetation health status after ecological restoration in soil and water loss region

doi:10.13287/j.1001-9332.201701.020

Abstract

Abstract: This paper proposed a vegetation health index (VHI) to rapidly monitor and assess vegetation health status in soil and water loss region based on remote sensing techniques and WorldView-2 imagery. VHI was constructed by three factors, i.e., the normalized mountain vegetation index, the nitrogen reflectance index and the reflectance of the yellow band, through the principal component transformation, in order to avoid the deviation induced by subjective method of weighted summation. The Hetian Basin of Changting County in Fujian Province, China, was taken as a test area to assess the vegetation health status in soil and water loss region using VHI. The results showed that the VHI could detect vegetation health status with a total accuracy of 91%. The vegetation of Hetian Basin in good, moderate and poor health status accounted for 10.1%, 49.2% and 40.7%, respectively. The vegetation of the study area was still under an unhealthy status because the soil was poor and the growth of newly planted vegetation was not good in the soil and water loss region.

HU Xiu-juan, XU Han-qiu, GUO Yan-bin, ZHANG Bo-bo. Remote sensing detection of vegetation health status after ecological restoration in soil and water loss region[J]. Chinese Journal of Applied Ecology, 2017, 28(1): 250-256.

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