干旱区生态环境知识资源中心(Arid): 基于地块级时序NDVI的喀斯特山区撂荒地特征精准识别

Arid

	基于地块级时序NDVI的喀斯特山区撂荒地特征精准识别
其他题名	Accurate recognition and extraction of karst abandoned land features based on cultivated land parcels and time series NDVI
	王玲玉; 陈全; 吴跃; 周忠发; 但雨生
来源期刊	国土资源遥感
ISSN	1001-070X
出版年	2020
卷号	32 期号:3
中文摘要	撂荒地在全球呈扩散趋势,已成为土地利用的重要研究方向,喀斯特石漠化耕地的撂荒因多云多雨造成可利用的光学遥感影像十分有限,且因混合像元严重而不易被精确识别和提取。利用短期高空间分辨率影像和长时序中等空间分辨率影像的特性,以贵州省息烽县为例,首先,从高空间分辨率影像中提取的耕地地块数据,同时 ,利用最大值合成法基于Landsat数据得到2003-2018年间的时序NDVI数据;然后,运用阈值法识别撂荒地NDVI特征;最后,叠加喀斯特石漠化信息,分析撂荒与石漠化的关系。结果表明:①耕地地块和时序NDVI组合数据能够精准地识别提取撂荒地,在95.56%的耕地提取精度下撂荒地识别精度达90.7%,该方法在光学数据缺乏和耕地破碎的多云雨山区有很好的应用效果;②耕地撂荒归一化植被指数(normalized difference vegetation index,NDVI)曲线在形态上表现为V型特征,连续撂荒曲线形态呈U型特征,累计撂荒NDVI曲线形态呈不对称W型、M型或多个W和M组合型,其变化复杂多样;③非喀斯特撂荒地NDVI总体水平比石漠化撂荒地高,石漠化等级高低与NDVI曲线整体水平呈反比关系、与曲线波动程度呈正相关关系,撂荒次数与地块NDVI值呈反比关系、与NDVI曲线离散程度呈正相关关系。研究结果为喀斯特多云雨山区撂荒地的精准识别提取提供了高效、可行的思路和方法。
英文摘要	The abandoned land has been spread all over the world and has become an important research direction for land use. Due to the lack of optical remote sensing images and serious mixed pixels in Karst rocky desertification land,it is difficult to accurately identify and extract the abandoned land. Based on short-term high precision image and long temporal resolution data features,taking Xifeng County in Guizhou Province as an example,using the high precision image accurately,and aided by maximum value composite ( MVC) method,the authors calculated Landsat data for 2003-2018 time-series NDVI data, identified characteristics of abandoned land NDVI,and analyzed the relationship between the abandoned land and karst rocky desertification. The results are as follows:①The combination of land parcels and time series NDVI can accurately identify and extract abandoned land, with an accuracy of 90.7% under the condition of 95.56% of cultivated land extraction. This method has a good application effect in cloudy and rainy mountains areas where optical remote sensing data are lacking and cultivated land is broken.②The curve shape of the NDVI of the abandoned land is of V type, the continuous abandonment of arable land curve shape is of U type,and the cumulative NDVI curve shape is of asymmetric "W",M or several combinations.③The overall level of NDVI in non-karst abandoned lands is higher than that in rocky desertification abandoned lands. The level of rocky desertification is inversely proportional to the overall level of the curve and positively correlated with the degree of curve fluctuation. The number of abandoned lands is inversely proportional to the value of NDVI of the plot and positively correlated with the degree of dispersion of the NDVI curve. The results provide an efficient and feasible method for accurate identification and extraction of uninhabited land in karst cloudy and rainy mountain areas.
中文关键词	喀斯特 ; 石漠化耕地 ; 撂荒地 ; 时序分析 ; 地块
英文关键词	Karst rocky desertification of cultivated land abandoned land time series analysis cultivated land parcels
类型	Article
语种	中文
收录类别	CSCD
WOS类目	Remote Sensing
CSCD记录号	CSCD:6798887
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/353595
作者单位	王玲玉, 贵州师范大学喀斯特研究院, 贵阳, 贵州 550001, 中国. 陈全, 贵州师范大学喀斯特研究院, 贵阳, 贵州 550001, 中国. 吴跃, 贵州师范大学喀斯特研究院, 贵阳, 贵州 550001, 中国. 但雨生, 贵州师范大学喀斯特研究院, 贵阳, 贵州 550001, 中国. 周忠发, 贵州师范大学喀斯特研究院;;贵州师范大学地理与环境科学学院, ;;, 贵阳;;贵阳, ;; 550001;;550001.
推荐引用方式 GB/T 7714	王玲玉,陈全,吴跃,等. 基于地块级时序NDVI的喀斯特山区撂荒地特征精准识别[J],2020,32(3).
APA	王玲玉,陈全,吴跃,周忠发,&但雨生.(2020).基于地块级时序NDVI的喀斯特山区撂荒地特征精准识别.国土资源遥感,32(3).
MLA	王玲玉,et al."基于地块级时序NDVI的喀斯特山区撂荒地特征精准识别".国土资源遥感 32.3(2020).