Abstract：To develop a method for collecting spatial information of forest change to update forest resources database, the authors tested a forest change detection in an area in Shangsi County of Guangxi where the forest cover changed frequently and rapidly and had a lot of change parcels most of which were small patches. ZY-3 and GF-1 satellite remote sensing images and the thematic map of forest distribution composed of sub-compartments were used as the data sources, the length of change vector was measured by Mahalanobis distance, Euclidean distance and relative error distance, and the optimal threshold was determined by the objective function. In addition, the object-based change vector analysis (CVA)was used to detect the forest change based on the sub-compartment. The results show that the detection results based on the Mahalanobis distance and Euclidean distance are not ideal, for they have high omission rate and commission rate but low total accuracy and small kappa coefficient. The detection result based on the relative error distance is the best among the three detections, for its omission accuracy (21.0%) and the commission accuracy (32.5%) are the lowest in the three detection, and its total accuracy (89.6%) and its Kappa coefficient (0.664) are higher than the two other detections. False detections are usually found in the old forest land, construction area, road and some other places, and the commission objects are found in various land types.
[1] Food and Agriculture Organization of the United Nations(FAO).Global Forest Resources Assessment 2010:Main Report[R].FAO Forestry Paper 163.Rome:FAO,2010. [2] 赵宪文,李崇贵,斯 林,等.基于信息技术的森林资源调查新体系[J].北京林业大学学报,2002,24(5/6):147-155. Zhao X W,Li C G,Si L,et al.Building a new system of forest resources inventory by information technology[J].Journal of Beijing Forestry University,2002,24(5/6):147-155. [3] 李春干,代华兵,李崇贵.基于高分辨率卫星图像的小班勾绘精度检验[J].福建林学院学报,2006,26(2):127-130. Li C G,Dai H B,Li C G.Accuracy inspection of subcompartment division based on hi-resolution remote sensing imagery[J].Journal of Fujian College of Forestry,2006,26(2):127-130. [4] 周启鸣.多时相遥感影像变化检测综述[J].地理信息世界,2011(2):28-33. Zhou Q M.Review on change detection using multi-temporal remotely sensed imagery[J].Geomatics World,2011(2):28-33. [5] 陈鑫镖.遥感影像变化检测技术发展综述[J].测绘与空间地理信息,2012,35(9):38-41. Chen X B.A summary of change detection techniques of remote sensing imagery[J].Geomatics and Spatial Information Technology,2012,35(9):38-41. [6] 李世明,王志慧,韩学文,等.森林资源变化遥感监测技术研究进展[J].北京林业大学学报,2011,33(3):132-138. Li S M,Wang Z H,Han X W,et al.Overview of forest resources change detection methods using remote sensing techniques[J].Journal of Beijing Forestry University,2011,33(3):132-138. [7] Walter V.Object-based classification of remote sensing data for change detection[J].ISPRS Journal of Photogrammetry and Remote Sensing,2004,58(3/4):225-238. [8] Desclée B,Bogaert P,Defourny P.Forest change detection by statistical object-based method[J].Remote Sensing of Environment,2006,102(1/2):1-11. [9] Lu D S,Batistella M,Moran E.Integration of Landsat TM and SPOT HRG images for vegetation change detection in the Brazilian Amazon[J].Photogrammetric Engineering and Remote Sensing,2008,74(4):421-430. [10] 石军南,李和顺,刘晓农,等.面向对象分类方法在森林采伐遥感监测中的应用[J].中南林业科技大学学报,2010,30(11):6-10. Shi J N,Li H S,Liu X N,et al.Application of classification object-oriented to forest cutting monitoring based on remote sensing[J].Journal of Central South University of Forestry and Technology,2010,30(11):6-10. [11] 邢元军,旦 增.基于面向对象的高分辨率影像的森林植被变化信息提取研究[J].中南林业调查规划,2010,29(4):34-37. Xing Y J,Dan Z.Study on extraction techniques for forest vegetation change information based on high spatial resolution remote sensing image[J].Central South Forest Inventory and Planning,2010,29(4):34-37. [12] 魏安世,杨志刚.森林资源年度监测小班数据自动更新技术[J].南京林业大学学报(自然科学版),2010,34(4):123-128. Wei A S,Yang Z G.Automatic updating technique of subcompartment data for annual monitoring of forest resource[J].Journal of Nanjing Forestry University(Natural Science Edition),2010,34(4):123-128. [13] 王志慧,李世明,张艺伟.基于C5.0算法的森林资源变化检测方法研究——以山东省徂徕山林区为例[J].西北林学院学报,2011,26(5):185-191. Wang Z H,Li S M,Zhang Y W.Methodsological study on the detection of the variations of forest resources based on C5.0 algorithm:A case of Culai Forest in Shandong[J].Journal of Northwest Forestry University,2011,26(5):185-191. [14] Potapov P V,Turubanova S A,Hansen M C,et al.Quantifying forest cover loss in Democratic Republic of the Congo,2000—2010,with Landsat ETM+ data[J].Remote Sensing of Environment,2012,122:106-116. [15] Hansen M C,Loveland T R.A review of large area monitoring of land cover change using Landsat data[J].Remote Sensing of Environment,2012,122:66-74. [16] 李德仁.利用遥感影像进行变化检测[J].武汉大学学报(信息科学版),2003,28(S):7-12. Li D R.Change detection from remote sensing images[J].Geomatics and Information Science of Wuhan University,2003,28(S):7-12. [17] 马建文,田国良,王长耀,等.遥感变化检测技术发展综述[J].地球科学进展,2004,19(2):192-196. Ma J W,Tian G L,Wang C Y,et al.Review of the development of remote sensing change detection technology[J].Advance in Earth Sciences,2004,19(2):192-196. [18] Lu D,Mausel P,Brondízio E,et al.Change detection techniques[J].International Journal of Remote Sensing,2004,25(12):2365-2407. [19] 黄荣林.桉树速生丰产林营造技术及效益分析[J].广西林业科学,2006,35(S):27-29,36. Huang R L.Superior eucalyptus fast-growing and high yield plantation establishment technique and benefits analysis in Luchuan County,Guangxi[J].Guangxi Forestry Science,2006,35(S):27-29,36. [20] 陈健波,刘 健.丘陵地桉树无性系人工林生长调查[J].林业科技开发,2011,25(4):67-70. Chen J B,Liu J.Growth investigation on plantations of Eucalyptus in hill lands in Guangxi[J].China Forestry Science and Technology,2011,25(4):67-70. [21] 张健军,韦晓娟,傅 锋,等.广西桉树速生丰产林调查与经济效益评价[J].林业经济,2012(9):34-37. Zhang J J,Wei X J,Fu F,et al.Survey and economic benefit evaluation on fast-growing and high-yielding Eucalyptus SPP plantation in Guangxi[J].Forestry Economics,2012(9):34-37. [22] 张 宇,刘雨东,计 钊.向量相似度测度方法[J].声学技术,2009,28(4):532-536. Zhang Y,Liu Y D,Ji Z.Vector similarity measurement method[J].Technical Acoustics,2009,28(4):532-536. [23] Bontemps S,Langner A,Defourny P.Monitoring forest changes in Borneo on a yearly basis by an object-based change detection algorithm using SPOT-VEGETATION time series[J].International Journal of Remote Sensing,2012,33(15):4673-4699. [24] 李 亮,舒 宁,李 雪.基于像斑差熵的遥感影像变化检测[J].遥感信息,2011(4):38-41. Li L,Shu N,Li X.Remote sensing image change detection based on the entropy difference of image segment[J].Remote Sensing Information,2011(4):38-41. [25] 盛 辉,廖明生,张 路.基于典型相关分析的变化检测中变化阈值的确定[J].遥感学报,2004,8(5):451-457. Sheng H,Liao M S,Zhang L.Determination of threshold in change detection based on canonical correlation analysis[J].Journal of Remote Sensing,2004,8(5):451-457. [26] 李亚平,杨 华,陈 霞.基于EM和BIC的直方图拟合方法应用于遥感变化检测阈值确定[J].遥感学报,2008,12(1):85-91. Li Y P,Yang H,Chen X.Determination of threshold in change detection based on histogram approximation using expectation maximization algorithm and Bayes information criterion[J].Journal of Remote Sensing,2008,12(1):85-91. [27] 黄 维,黄进良,王立辉,等.基于PCA的变化向量分析法遥感影像变化检测[J].国土资源遥感,2016,28(1):22-27.doi:10.6046/gtzyyg.2016.01.04"> doi:10.6046/gtzyyg.2016.01.04. Huang W,Huang J L,Wang L H,et al.Remote sensing image change detection based on change vector analysis of PCA component[J].Remote Sensing for Land and Resources,2016,28(1):22-27.doi:10.6046/gtzyyg.2016.01.04"> doi:10.6046/gtzyyg.2016.01.04.
2017, Vol. 29 
