[1]宋宪强,梁钊雄,周红艺*,等.基于决策树与时序NDVI变化检测的耕地撂荒遥感监测——以四川省凉山州普格县为例[J].山地学报,2021,(6):912-921.[doi:10.16089/j.cnki.1008-2786.000649]
　SONG Xianqiang,LIANG Zhaoxiong,ZHOU Hongyi*,et al.An Updated Method to Monitor the Changes in Spatial Distribution of Abandoned Land Based on Decision Tree and Time Series NDVI Change Detection:A Case Study of Puge County, Liangshan Prefecture, Sichuan Province, China[J].Mountain Research,2021,(6):912-921.[doi:10.16089/j.cnki.1008-2786.000649]
点击复制

基于决策树与时序NDVI变化检测的耕地撂荒遥感监测——以四川省凉山州普格县为例()
分享到：

《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2021年第6期
页码:
912-921
栏目:
山地技术
出版日期:
2021-11-25

文章信息/Info

Title:
An Updated Method to Monitor the Changes in Spatial Distribution of Abandoned Land Based on Decision Tree and Time Series NDVI Change Detection:A Case Study of Puge County, Liangshan Prefecture, Sichuan Province, China
文章编号:
1008-2786-(2021)6-912-10
作者:
宋宪强1; 梁钊雄1; 周红艺1*; 熊东红2
1.佛山科学技术学院 环境与化学工程学院,广东 佛山 528000; 2.中国科学院、水利部成都山地灾害与环境研究所,成都 610041
Author(s):
SONG Xianqiang1;  LIANG Zhaoxiong1;  ZHOU Hongyi1*;  XIONG Donghong2
1.School of Environmental and Chemical Engineering, Foshan University, Foshan 528000, Guangdong, China; 2.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
关键词:
撂荒地;  遥感监测;  决策树;  时间序列NDVI;  普格县
Keywords:
abandoned land;  remote sensing;  decision tree;  time series NDVI;  Puge county
分类号:
K903
DOI:
10.16089/j.cnki.1008-2786.000649
文献标志码:
A
摘要:
耕地撂荒遥感监测是推进撂荒地整治、保障粮食安全的常用手段。遥感影像解译易受到不同地物光谱信息的干扰而影响提取精度,并且难以区分轮休与撂荒。以四川省凉山彝族自治州普格县为研究区域,在分析该地区撂荒地光谱特征及农作物物候特征的基础上,采用基于决策树与时序NDVI变化检测耦合的方法,以Landsat系列数据作为数据源,对区域内2000—2019年的撂荒地进行提取和分析。结果表明:(1)从时间序列特征上看,研究区内撂荒地面积呈现“先增大后减小”的趋势,在2015年撂荒率达到最大值27.94%; 空间上主要分布在河流两侧的耕地边缘,呈零散分布状态。(2)撂荒地的分布随高程和坡度的变化呈现一定的规律。在高程方面,撂荒地主要集中在1500～3000 m范围内,其面积占撂荒地总面积的85%左右; 在坡度方面,10°～20°范围内撂荒地分布占比60%以上; 另外,高程1000～3000 m范围及坡度0°～15°范围的撂荒面积、撂荒率均表现出“先增大后减小”的趋势,在2015年达到最大值,而到2019年则呈小幅下降,与研究区撂荒地总体变化趋势一致。经实地调查和无人机影像验证,本研究方法对撂荒地的提取精度分别达87.14%和90.00%,可靠性较高,可为我国西南山区撂荒地监测及乡村振兴战略实施等提供科技支撑。
Abstract:
Remote sensing monitoring of abandoned cultivated land is a common means to rectify abandoned land and ensure food security. Remote sensing image interpretation is easily interfered by spectral information of different ground objects by lowering extraction accuracy, and it is difficult to distinguish between cultivated land fallow and waster land.In this study, it took Puge county, Liangshan prefecture, Sichuan province, China as research case. Based on the analysis of spectral characteristics of abandoned land and crop phenology characteristics in this area, Landsat series images were used as data sources to extract and analyze the abandoned land from 2000 to 2019 by coupling decision tree and temporal NDVI change detection method.The results found:(1)From the time series characteristics, the area of abandoned land in the study area showed a trend of first increasing and then decreasing, and the increase rate of abandoned land reached the maximum in 2015, with a value of 27.94%; The abandoned land was mainly distributed at the edge of cultivated land on both sides of rivers, characterized by scattered pattern.(2)The distribution of abandoned land had certain regularity with the change of elevation and slope. In terms of elevation, abandoned land was mainly concentrated in the altitude range of 1500～3000 m, accounting for about 85% of the total abandoned land area. In terms of slope, abandoned land was the largest in the range of 10°～20°, accounting for more than 60% of the total abandoned land area. In addition, the abandoned land area and the abandonment rate increased first and then decreased in the elevation range of 1000～3000 m and in the slope range of 0°～15°, reaching the maximum in 2015 and presenting a slight downward trend in 2019. And it showed that the trend of the abandonment rate in these areas was consistent with that of the whole study area. According to our field investigation and UAV image verification, the extraction accuracy of abandoned land by our proposed method was 87.14% and 90.00%, respectively, with high reliability; Therefore, it can provide scientific and technological support for the monitoring of abandoned land in mountainous areas of southwest China and the implementation of rural revitalization strategy.

参考文献/References:

[1] SMALIYCHUK A, MÜLLER D, PRISHCHEPOV A V, et al. Recultivation of abandoned agricultural lands in Ukraine: Patterns and drivers [J]. Global Environmental Change, 2016, 38: 70-81. DOI: 10.1016/j.gloenvcha.2016.02.009
[2] 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]. 国土资源遥感,2020, 32(3): 23-31. [WANG Lingyu, CHEN Quan, WU Yue, et al. Accurate recognition and extraction of karst abandoned land features based on cultivated land parcels and time series NDVI [J]. Remote Sensing for Land and Resources, 2020, 32(3): 23-31] DOI: 10.6046/gtzyyg.2020.03.04
[3] 程维芳,周艺,王世新,等. 基于多光谱遥感的撂荒地识别方法研究[J]. 光谱学与光谱分析,2011, 31(6): 1615-1620. [CHENG Weifang, ZHOU Yi, WANG Shixin, et al. Study on the method of recognizing abandoned farmlands based on multispectral remote sensing [J]. Spectroscopy and Spectral Analysis, 2011, 31(6): 1615-1620] DOI: 10.3964/j.issn.1000-0593(2011)06-1615-06
[4] 李升发,李秀彬. 耕地撂荒研究进展与展望[J]. 地理学报,2016, 71(3): 370-389. [LI Shengfa, LI Xiubin. Progress and prospect on farmland abandonment [J]. Acta Geographica Sinica, 2016, 71(3): 370-389] DOI: 10.11821/dlxb201603002
[5] 马永欢. 完善管理机制,避免耕地撂荒[J]. 中国土地, 2013(7): 36-37. [MA Yonghuan. Improve the management mechanism to avoid abandonment of cultivated land [J]. China Land, 2013(7): 36-37] DOI: 10.3969/j.issn.1002-9729.2013.07.015
[6] 刘成武,李秀彬. 1980年以来中国农地利用变化的区域差异[J]. 地理学报,2006, 61(2): 139-145. [LIU Chengwu, LI Xiubin. Regional differences in the changes of the agricultural land use in China during 1980-2002 [J]. Acta Geographica Sinica, 2006, 61(2): 139-145] DOI: 10.3321/j.issn: 0375-5444.2006.02.003
[7] 史铁丑. 重庆山区耕地撂荒的规模及影响因素研究[D]. 北京: 中国科学院大学,2015. [SHI Tiechou. Research on farmland abandonment scale and influencing factors in Chongqing mountain area [D]. Beijing: University of Chinese Academy of Sciences, 2015]
[8] ZHANG Ying, LI Xiubin, SONG Wei. Determinants of cropland abandonment at the parcel, household and village levels in mountain areas of China: A multi-level analysis [J]. Land Use Policy, 2014, 41: 186-192. DOI: 10.1016/j.landusepol.2014.05.011
[9] QUEIROZ C, BEILIN R, FOLKE C, et al. Farmland abandonment: Threat or opportunity for biodiversity conservation? A global review [J]. Frontiers in Ecology and the Environment, 2014, 12(5): 288-296. DOI: 10.1890/120348
[10] BAKKER M M, GOVERS G, DOORN A V, et al. The response of soil erosion and sediment export to land-use change in four areas of Europe: The importance of landscape pattern [J]. Geomorphology, 2008, 98(3-4): 213-226. DOI: 10.1016/j.geomorph.2006.12.027
[11] BATLLE-BAYER L, BATJES N H, BINDRABAN P S. Changes in organic carbon stocks upon land use conversion in the Brazilian Cerrado: A review [J]. Agriculture, Ecosystems and Environment, 2010, 137(1-2): 47-58. DOI: 10.1016/j.agee.2010.02.003
[12] 李阳兵,罗光杰,黄娟. 茂兰喀斯特自然保护区撂荒地时空演变、机制及其植被恢复[J]. 中国岩溶,2017, 36(4): 447-453. [LI Yangbing, LUO Guangjie, HUANG Juan. Spatial-temporal evolution, mechanism and vegetation restoration of abandoned farmland in the Maolan national nature reserve [J]. Carsologica Sinica, 2017, 36(4): 447-453] DOI: 10.11932/karst20170404
[13] ALCANTARA C, KUEMMERLE T, BAUMANN M, et al. Mapping the extent of abandoned farmland in central and eastern Europe using MODIS time series satellite data [J]. Environmental Research Letters, 2013, 8(3): 1345-1346. DOI: 10.1088/1748-9326/8/3/035035
[14] YUSOFF N M, MUHARAM F M. The use of multi-temporal landsat imageries in detecting seasonal crop abandonment [J]. Remote Sensing, 2015, 7(9): 11974-11991. DOI: 10.3390/rs70911974
[15] 牛继强,林昊,牛樱楠,等. 经济欠发达地区撂荒耕地空间格局与驱动因素分析[J]. 农业机械学报,2017, 48(2): 141-149. [NIU Jiqiang, LIN Hao, NIU Yingnan, et al. Analysis of spatial pattern and driving factors for abandoned arable lands in underdevelopment region [J]. Transactions of the Chinese Society for Agricultural Machinery, 2017, 48(2): 141-149] DOI: 10.6041 /j.issn.1000-1298.2017.02.019
[16] 史铁丑,徐晓红. 重庆市典型县撂荒耕地图斑的提取与验证[J]. 农业工程学报,2016, 32(24): 261-267. [SHI Tiechou, XU Xiaohong. Extraction and validation of abandoned farmland parcel in typical counties of Chongqing [J]. Transactions of the Chinese Society of Agricultural Engineering, 2016, 32(24): 261-267] DOI: 10.11975/j.issn.1002-6819.2016.24.035
[17] ESTEL S, KUEMMERLE T,ALCÁNTARA C, et al. Mapping farmland abandonment and recultivation across Europe using MODIS NDVI time series [J]. Remote Sensing of Environment, 2015, 163: 312-325. DOI: 10.1016/j.rse.2015.03.028
[18] 张碧蓉,侯志华,段平,等. 不同分辨率影像的撂荒地提取方法[J]. 测绘与空间地理信息,2018, 41(7): 176-179. [ZHANG Birong, HOU Zhihua, DUAN Ping, et al. Abandoned land extraction methods for different resolution images [J]. Geomatics and Spatial Information Technology, 2018,41(7): 176-179] DOI: 10.3969/j.issn.1672-5867.2018.07.049
[19] 陈欣怡,郑国全. 国内外耕地撂荒研究进展[J]. 中国人口?资源与环境,2018, 28(S2): 40-44. [CHEN Xinyi, ZHENG Guoquan. Research progress on arable land abandonment in China and abroad [J]. China Population, Resources and Environment, 2018, 28(S2): 40-44]
[20] 米吾作. 论凉山彝族移民扶贫[J]. 西南民族学院学报(哲学社会科学版),2000, 21(S3): 13-17. [MI Wuzuo. Discussion on poverty relief by migration of Yi People in Liangshan [J]. Journal of Southwest University for Nationalities(Philosophy and Social Sciences), 2000, 21(S3): 13-17]
[21] 刘蜀川. 自发移民问题研究——以四川省凉山彝族自治州为例[J]. 西南民族大学学报(人文社会科学版),2017(6): 55-59. [LIU Shuchuan. Research on problems in spontaneous migration in Liangshan Yi Ethnic Minority Autonomous Prefecture in Sichuan [J]. Journal of Southwest University for Nationalities(Humanities and Social Sciences), 2017(6): 55-59] DOI: 10.3969/j.issn.1004-3926.2017.06.010
[22] 肖国峰,朱秀芳,侯陈瑶,等. 撂荒耕地的提取与分析—以山东省庆云县和无棣县为例[J]. 地理学报,2018, 73(9): 1658-1673. [XIAO Guofeng, ZHU Xiufang, HOU Chenyao, et al. Extraction and analysis of abandoned farmland: A case study of Qingyun and Wudi counties in Shandong province [J]. Acta Geographica Sinica, 2018, 73(9): 1658-1673] DOI: 10.11821/dlxb201809004
[23] 周玉洁,王卷乐,郭海会. 基于谐波分析和线性光谱模型的耕地信息提取[J]. 遥感技术与应用,2015, 30(4): 706-713. [ZHOU Yujie, WANG Juanle, GUO Haihui. Application of harmonic analysis and linear spectral mixture model to extract the cultivated resource[J]. Remote Sensing Technology and Application, 2015, 30(4): 706-713] DOI: 10.11873/j.issn.1004-0323.2015.4.0706
[24] 刘旭颖,关燕宁,郭杉,等. 基于时间序列谐波分析的鄱阳湖湿地植被分布与水位变化响应[J]. 湖泊科学,2016, 28(1): 195-206. [LIU Xuying, GUAN Yanning, GUO Shan, et al. Response on wetland vegetation distribution to hydrology regularity based on harmonictime series analysis [J]. Journal of Lake Sciences, 2016, 28(1): 195-206] DOI: 10.18307/2016.0123
[25] ZHANG Qiang, XIAO Mingzhong, SINGH V P, et al. Max-stable based evaluation of impacts of climate indices on extreme precipitation processes across the Poyang Lake basin, China [J]. Global and Planetary Change, 2014, 122: 271-281. DOI: 10.1016/j.gloplacha.2014.09.005
[26] 孙中平,白金婷,史园莉,等. 基于高分影像的面向对象土地利用变化检测方法研究[J]. 农业机械学报, 2015, 46(S1): 297-303.[SUN Zhongping, BAI Jinting, Shi Yuanli, et al. Object-oriented detection of land use changes based on high spatial resolution remote sensing image [J]. Transactions of the Chinese Society for Agricultural Machinery, 2015, 46(S1): 297-303] DOI: 10.6041 /j.issn.1000-1298.2015.S0.047
[27] 杨通,郭旭东,岳德鹏,等. 基于联合变化检测的耕地撂荒信息提取与驱动因素分析[J]. 农业机械学报, 2019, 50(6): 201-208. [YANG Tong,GUO Xudong, YUE Depeng, et al. Information extraction and driving factor assessment of farmland abandonment based on joint change detection [J]. Transactions of the Chinese Society of Agricultural Machinery, 2019, 50(6): 201-208] DOI: 10.6041/j.issn.1000-1298.2019.06.022

相似文献/References:

[1]王 翔a,陈 果ab*,戴晓爱a,等.藏西南典型危险性冰湖监测与泥石流溃决模拟[J].山地学报,2021,(5):687.[doi:10.16089/j.cnki.1008-2786.000630)]
　WANG Xianga,CHEN Guoab*,DAI Xiaoaia,et al.Typical Monitoring of Dangerous Glacial Lakes in Southwestern Tibet,China and Simulation of GLOF Debris Flow[J].Mountain Research,2021,(6):687.[doi:10.16089/j.cnki.1008-2786.000630)]

备注/Memo

备注/Memo:
收稿日期(Received date):2021-03-30; 修回日期(Accepted date):2021-11-13
基金项目(Foundation item):四川省科技计划项目(2018JY0545)[Sichuan Science and Technology Program(2018JY0545)]
作者简介(Biography):宋宪强(1980-),男,山东泰安人,博士,讲师,主要研究方向:资源环境监测与生态评价。[SONG Xianqiang(1980-), male, born in Taian, Shandong province, Ph.D., lecturer, research on resource and environment monitoring & ecological evaluation]E-mail: cathaysong@fosu.edu.cn
*通讯作者(Corresponding author):周红艺(1977-),男,博士,教授,主要研究方向:土地利用、土壤侵蚀与水土保持。[ZHOU Hongyi(1977-), male, Ph. D., professor, research on land use, soil erosion & soil and water conservation]E-mail: zhouhyfs@163.com
更新日期/Last Update: 2021-11-30