干旱区生态环境知识资源中心(Arid): EVALUATION OF RANDOM FOREST-BASED ANALYSIS FOR THE GYPSUM DISTRIBUTION IN THE ATACAMA DESERT

Arid

	EVALUATION OF RANDOM FOREST-BASED ANALYSIS FOR THE GYPSUM DISTRIBUTION IN THE ATACAMA DESERT
	Hoffmeister, D.; Herbrecht, M.; Kramm, T.; Schulte, P.
通讯作者	Hoffmeister, D (corresponding author), Univ Cologne, GIS&RS Grp, Inst Geog, Albertus Magnus Pl, D-50923 Cologne, Germany.
会议名称	IEEE Latin American GRSS and ISPRS Remote Sensing Conference (LAGIRS)
会议日期	MAR 21-26, 2020
会议地点	Santiago, CHILE
英文摘要	Gypsum-rich material covers the hillslopes above similar to 1000 m of the Atacama and forms the particular landscape. In this contribution, we evaluate random forest-based analysis in order to predict the gypsum distribution in a specific area of similar to 3000 km(2), located in the hyperarid core of the Atacama. Therefore, three different sets of input variables were chosen. These variables reflect the different factors forming soil properties, according to digital soil mapping. The variables are derived from indices based on imagery of the ASTER and Landsat-8 satellite, geomorphometric parameters based on the Tandem-X World DEM (TM), as well as selected climate variables and geologic units. These three different models were used to evaluate the Ca-content derived from soil surface samples, reflecting gypsum content. All three different models derived high values of explained variation (r(2) > 0.886), the RMSE is 4500 mg-kg-t and the NRMSE is similar to 6%. Overall, this approach shows promising results in order to derive a gypsum content prediction for the whole Atacama. However, further investigation on the independent variables need to he conducted. In this case, the ferric oxides index (representing magnetite content), slope and a temperature gradient are the most important factors for predicting gypsum content.
英文关键词	GIS remote sensing random forest satellite imagery indices digital soil mapping
来源出版物	2020 IEEE LATIN AMERICAN GRSS & ISPRS REMOTE SENSING CONFERENCE (LAGIRS)
出版年	2020
页码	44-47
ISBN	978-1-7281-4350-7
出版者	IEEE
类型	Proceedings Paper
语种	英语
收录类别	CPCI-S
WOS记录号	WOS:000626733300009
WOS关键词	BIOLOGICAL SOIL CRUSTS ; INDEX
WOS类目	Engineering, Electrical & Electronic ; Remote Sensing
WOS研究方向	Engineering ; Remote Sensing
资源类型	会议论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/353068
作者单位	[Hoffmeister, D.; Herbrecht, M.; Kramm, T.] Univ Cologne, GIS&RS Grp, Inst Geog, Albertus Magnus Pl, D-50923 Cologne, Germany; [Schulte, P.] Rhein Westfal TH Aachen, Dept Geog, D-52056 Aachen, Germany
推荐引用方式 GB/T 7714	Hoffmeister, D.,Herbrecht, M.,Kramm, T.,et al. EVALUATION OF RANDOM FOREST-BASED ANALYSIS FOR THE GYPSUM DISTRIBUTION IN THE ATACAMA DESERT[C]:IEEE,2020:44-47.