title: [Evaluation of high-resolution images application for wild medicinal plants macro monitoring: a case of Apocynum].
abstract: To investigate the resources of medicinal plant, such as wild Apocynum, supervised classification based on Principal Component Analysis (PCA) and texture feature were used to monitor wild medicinal plants from image captured by ZY-3 and World-view-2 and compare which satellite Image are more appropriate to monitor the wild medicinal plants. The research results shows that: for more complex growth conditions wild medicinal plants Apocynum, high-resolution images Worldview-2 is more suitable for its remote identification, the low-resolution satellite ZY-3 can only recognizes the wild medicinal plants which distributed intensively. If the study target distribution is more intensive and larger scale, and cultivated type medicinal plants, the use of satellite ZY-3 in low resolution remote sensing data to identify the target can be a good choice, it is not necessary to buy high-resolution data, in order to avoid waste of expenditure, for the scattered distribution, the high-resolution satellite imagery data may be indispensable to identify targets.
authors.forename: Ren-Hua
authors.initials: RH
authors.lastname: Na
authors.forename: Jiang-Hua
authors.initials: JH
authors.lastname: Zheng
authors.forename: Bao-Lin
authors.initials: BL
authors.lastname: Guo
authors.forename: Min-Hui
authors.initials: MH
authors.lastname: Shi
authors.forename: Ba-Ti
authors.initials: BT
authors.lastname: Sen
authors.forename: Zhi-Qun
authors.initials: ZQ
authors.lastname: Sun
authors.forename: Cheng-Zhong
authors.initials: CZ
authors.lastname: Sun
authors.forename: Xiao-Jin
authors.initials: XJ
authors.lastname: Li
authors.forename: Xiao-Guang
authors.initials: XG
authors.lastname: Jia
mesh_terms: D030010:Apocynum / Q000737:chemistry / Q000254:growth & development*; D002681:China; D003247:Conservation of Natural Resources; D040362:Geographic Information Systems; D063148:Plant Dispersal; D010946:Plants, Medicinal / Q000737:chemistry / Q000254:growth & development*; D058998:Remote Sensing Technology / Q000379:methods*