Changes of Land Cover in Shennongjia Forest Region in the Past 3 Decades Based on Interpretation of Landsat Images

JIANG Zhe , LIU Fang , ZHANG Wei , LUAN Xiao-feng , LI Di-qiang , LI Jia

Journal of Changjiang River Scientific Research Institute ›› 2016, Vol. 33 ›› Issue (6) : 150-154.

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Journal of Changjiang River Scientific Research Institute ›› 2016, Vol. 33 ›› Issue (6) : 150-154. DOI: 10.11988/ckyyb.20150205
INFORMATION TECHNOLOGY APPLICATION

Changes of Land Cover in Shennongjia Forest Region in the Past 3 Decades Based on Interpretation of Landsat Images

  • JIANG Zhe1,2, LIU Fang2, ZHANG Wei1, LUAN Xiao-feng1, LI Di-qiang2, LI Jia2
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Abstract

According to Landsat images and ground investigation data, we interpreted the land cover types in 1987, 2000, and 2013 in Shennongjia Forest Region using Erdas Software, compared changes of land cover types in these periods, and analyzed the area and sources of changes in forest cover. The results indicated that forest area increased slowly by 14.70 km2 during 1987-2000, in which shrub and grassland contributed the most to the forest increasing area; however, during 2000-2013 forest area increased rapidly by 207.49 km2, in which shrub, grassland and farmland contributed the most. The application of remote sensing technology in monitoring the changes in land cover continuously and dynamically at macro level can enrich the background data and provide essential data for environment monitoring and biodiversity conservation.

Key words

remote sensing image / supervised classification / change of forest / achievement of conservation / Shennongjia forest region

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JIANG Zhe , LIU Fang , ZHANG Wei , LUAN Xiao-feng , LI Di-qiang , LI Jia. Changes of Land Cover in Shennongjia Forest Region in the Past 3 Decades Based on Interpretation of Landsat Images[J]. Journal of Changjiang River Scientific Research Institute. 2016, 33(6): 150-154 https://doi.org/10.11988/ckyyb.20150205

References

[1] 韩秀珍,李三妹,罗敬宁,等.近20 年中国植被时空变化研究[J].干旱区研究,2008,25(6): 753-759.
[2] 李军媛,晏利斌,程志刚.陕西省植被时空演变特征及其对气候变化的响应[J].中国水土保持,2011,(6): 29-32.
[3] 孙红雨,王长耀,牛 铮,等.中国地表植被覆盖变化及其与气候因子关系——基于NOAA时间序列数据分析[J].遥感学报,1998,2(3):204-210.
[4] 徐涵秋,唐 菲. 新一代Landsat系列卫星:Landsat 8遥感影像新增特征及其生态环境意义[J]. 生态学报,2013,(11):3249-3257.
[5] 马荣华,贾建华,胡孟春,等.基于RS与GIS方法的海南植被变化分析[J].北京林业大学学报,2001,23(1):7-10.
[6] 江 洪,马克平,张艳丽,等.基于空间分析的保护生物学研究[J].植物生态学报,2004,28( 7) : 562 - 578.
[7] 陈文平,韩小明,范英霞. SPOT 5影像数据在伊犁谷地地质灾害遥感调查中的应用[J]. 新疆地质, 2008,(4):396-398.
[8] 王莉雯,卫亚星,牛 铮. 基于遥感的青海省植被覆盖时空变化定量分析[J]. 环境科学,2008,(6):1754-1760.
[9] 孙家抦.遥感原理与应用[M].武汉: 武汉大学出版社, 2003.
[10]陈芸芝.多源遥感数据在森林资源动态变化监测中的应用——以漳浦县为例[D].福州: 福州大学, 2003.
[11]罗东山. 基于Landsat5-TM遥感影像植被监测方法研究[J]. 测绘与空间地理信息,2013,(5):111-113,118.
[12]杨大三,陈炳浩. 神农架森林与生物多样性研究[J]. 湖北林业科技,1994,(2):1-14.
[13]徐长安.神农架,中国成功保护了她[J]. 世纪行,2007,(8):125.
[14]刘书泉. 天保工程促神农架美丽蝶变[J]. 中国林业,2011,(10):31.
[15]黄 靖,夏智宏. 基于MODIS-EVI数据的神农架林区植被指数变化特征研究[J]. 气象与环境科学,2013,(3):39-43.
[16]田自强,陈 玥,赵常明,等. 中国神农架地区的植被制图及植物群落物种多样性[J]. 生态学报,2004,(8):1611-1621.
[17]王一达,沈熙玲,谢 炯. 遥感图像分类方法综述[J]. 遥感信息,2006,(5):67-71.
[18]李 巍,程红光,高吉喜. 湖北神农架林区可持续发展战略生态规划[J]. 中国环境科学,2002,(4):88-92.
[19]夏秋霞,崔 进. 保护神农生态刻不容缓——来自神农架林区的报告[J]. 中国经济信息,1999,(21):77.
[20]包松娅.神秘的神农架:保护就是发展[J].世纪行,2007,(8):126.
[21]熊继红,刘妙龙. 神农架林区旅游业可持续发展研究[J]. 江汉大学学报(自然科学版),2003,(3):86-89.
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