Land use/land cover change and its driving factors in Xinjiang based on MODIS data

doi:10.14088/j.cnki.issn0439-8114.2022.16.010

Abstract

Abstract: Using the MODIS remote sensing image data in Xinjiang in 2001, 2010 and 2018, the land use types such as arable land, forest land, grassland, construction land, water area and unused land in the study area were studied via the models of land use/cover range change and transformation matrix to analyze the land use/cover changes and driving factors in the study area in the past 18 years. The results showed that, in 2018, the land use/cover types in Xinjiang were dominated by unused land, accounting for 70.24% of the total land area during the study period. The areas of arable land, grassland, water areas and construction land increased by 25 149.68, 11 280.98, 8 508.37, and 45.73 km² respectively, which were mainly transferred from unused land; the areas of forest land and unused land decreased by 1.97, and 44 838.02 km² respectively. There are varying degrees of conversion between land use/cover types. The land use/cover change in the study area is affected by natural, social and economic factors.

Key words: land use/land cover, MODIS, LUCC, driving factors, Xinjiang

CLC Number:

F301.24

Mierzhatijiang Muaitaerjiang, Gulimire Aierken, Ayituerxun Shamuxi. Land use/land cover change and its driving factors in Xinjiang based on MODIS data[J]. HUBEI AGRICULTURAL SCIENCES, 2022, 61(16): 58-63.

References

[1] 朱丽辉,徐瑶,杜忠. 2000—2015年四川省南充市土地利用/覆被变化及其驱动因素[J].水土保持通报,2019,39(5):257-261.
[2] 董子燕,张琍.1988—2016年婺源县土地利用变化及其影响因素分析[J].江西师范大学学报,2020,40(1):102-110.
[3] 尼加提·伊米尔,满苏尔·沙比提,玉苏甫·买买提,等.天山北坡精河绿洲土地利用/覆被时空变化及驱动力分析[J].中国农业大学学报,2019,24(10):158-169.
[4] 李丽国,王宇欣,邱硕,等.乌鲁木齐市土地利用和覆被生态变化及其驱动力分析[J].中国农业大学学报,2017,22(6):177-188.
[5] 杨庆媛,毕国华,陈展图,等.喀斯特生态脆弱区休耕地的空间配置研究——以贵州省晴隆县为例[J].地理学报,2018,73(11):2250-2266.
[6] 付建新,曹广超,郭文炯.1980—2018年祁连南山坡土地利用变化及其驱动力[J].应用生态学报,2020,31(8):2699-2709.
[7] 马才学,孟芬,赵利利.1990—2005年武汉市土地利用时空变化及其政策驱动因素分析[J].水土保持研究,2015,22(2):117-122.
[8] ZHOU D,GONG H,WANG Y,et al.Driving forces for the marsh wetland degradation in the Honghe National Nature Reserve in Sanhiang Plain, Northeast China[J].Environmental modeling & assessment,2009,14(1):101-111.
[9] HUTTICH C,HEROLD M,WEGMANN M,et al.Assessing effects of temporal compositing and varying observation periods for large-erea land-cover mapping in semi-arid ecosystems: Implications for global monitoring[J].Remote sensing of environment,2011,115(10):2445-2459.
[10] 李艳,何英,李丽,等.土地利用/覆被变化的研究综述[J].安徽农学通报,2012,18(7):40-44.
[11] SCHNEIDER A.Monitoring land cover change in urban and peri-urban areas using dense time stacks of Landsatellite date and a data mining approach[J]. Remote sensing of environment,2012,124:689-704.
[12] 贾明明,刘殿伟,宋开山,等.基于MODIS时序数据的澳大利亚土地利用/覆被分类与验证[J].遥感技术与应用,2010,25(3):379-386.
[13] 张靓,曾辉.基于MODIS数据的内蒙古土地利用/覆被变化研究[J].干旱区资源与环境,2015,29(1):31-36.
[14] 陈铸,傅伟聪,黄钰麟,等.福州市土地利用景观格局变化及驱动力研究[J].西南师范大学学报(自然科学版),2020,45(1):99-107.
[15] 骆成风,王长耀,刘永洪,等.利用BP算法进行新疆MODIS数据土地利用分类研究[J].干旱区地理,2005,28(2):258-262.
[16] 陈书林,虞宋杰.长三角地区1985—2015年土地利用变化及其驱动力分析[J].林业经济,2019(11):49-54.
[17] 段红腾,吴发启,杨一凡,等.近10年巴音河流域土地利用变化及驱动力分析[J].水土保持研究,2020(2):172-177.
[18] 冯雪力,吴世新,陈红.新疆地区近15年来土地利用时空变化及驱动力分析[J].干旱地区农业研究,2010,28(3):224-230.
[19] 王文旭,曹银贵,苏锐清,等.我国耕地变化驱动力研究进展:驱动因子与驱动机理[J].中国农业资源与区划,2020,41(7):21-30.