[1] |
YANG X C, XU B, ZHU X H, et al. A monitoring indicator system for remote sensing of grassland vegetation growth and suitability evaluation—a case study of the Xilingol Grassland in Inner Mongolia, China[J]. International Journal of Remote Sensing, 2015, 36(19/20): 5105−5122
|
[2] |
于海达, 杨秀春, 徐斌, 等. 草原植被长势遥感监测研究进展[J]. 地理科学进展, 2012, 31(7): 885−894 doi: 10.11820/dlkxjz.2012.07.007YU H D, YANG X C, XU B, et al. The progress of remote sensing monitoring for grassland vegetation growth[J]. Progress in Geography, 2012, 31(7): 885−894 doi: 10.11820/dlkxjz.2012.07.007
|
[3] |
高睿. 多尺度遥感方法对牧草营养成分的反演研究[D]. 哈尔滨: 东北农业大学, 2019GAO R. Research on retrieval of pastures nutritional ingredients based on multi-scale remote sensing methods[D]. Harbin: Northeast Agricultural University, 2019
|
[4] |
段淳清. 内蒙古草地资源现状及其可持续利用对策[J]. 内蒙古草业, 2006, 18(3): 21−25DUAN C Q. The present situation and sustainable utilization countermeasures of grassland resources in Inner Mongolia[J]. Inner Mongolia Prataculture, 2006, 18(3): 21−25
|
[5] |
田海静, 王林, 石俊华. 近20年中国北方草原植被长势动态监测[J]. 草业科学, 2020, 37(11): 2165−2174 doi: 10.11829/j.issn.1001-0629.2020-0261TIAN H J, WANG L, SHI J H. Vegetation dynamics of the north Chinese grassland in the past 20 years[J]. Pratacultural Science, 2020, 37(11): 2165−2174 doi: 10.11829/j.issn.1001-0629.2020-0261
|
[6] |
潘庆民, 薛建国, 陶金, 等. 中国北方草原退化现状与恢复技术[J]. 科学通报, 2018, 63(17): 1642−1650 doi: 10.1360/N972017-01178PAN Q M, XUE J G, TAO J, et al. Current status of grassland degradation and measures for grassland restoration in Northern China[J]. Chinese Science Bulletin, 2018, 63(17): 1642−1650 doi: 10.1360/N972017-01178
|
[7] |
顾丽婷. 近十年北方草原退化因素研究综述[J]. 新西部, 2017, (33): 33−34GU L T. A review on the degradation factors of grassland in recent ten years in the northern China[J]. New West, 2017, (33): 33−34
|
[8] |
马其东, 王晓武. 优质豆科牧草栽培管理技术[M]. 北京: 台海出版社, 2003MA Q D, WANG X W. Cultivation and Management Techniques of High Quality Leguminous Forage[M]. Beijing: Taihai Press, 2003
|
[9] |
付晶莹, 彭婷, 江东, 等. 草地资源立体观测研究进展与理论框架[J]. 资源科学, 2020, 42(10): 1932−1943FU J Y, PENG T, JIANG D, et al. Research progress and theoretical framework of multidimensional observation of grassland resources[J]. Resources Science, 2020, 42(10): 1932−1943
|
[10] |
葛静, 孟宝平, 杨淑霞, 等. 基于ADC和MODIS遥感数据的高寒草地地上生物量监测研究−以黄河源区为例[J]. 草业学报, 2017, 26(7): 23−34 doi: 10.11686/cyxb2017010GE J, MENG B P, YANG S X, et al. Monitoring of above-ground biomass in alpine grassland based on agricultural digital camera and MODIS remote sensing data: a case study in the Yellow River Headwater Region[J]. Acta Prataculturae Sinica, 2017, 26(7): 23−34 doi: 10.11686/cyxb2017010
|
[11] |
李媛, 徐坤, 谢应忠. 遥感在草地生态系统研究中的应用现状[J]. 宁夏工程技术, 2012, 11(4): 390−395 doi: 10.3969/j.issn.1671-7244.2012.04.028LI Y, XU K, XIE Y Z. Review on the application of remote sensing in the studying of grassland ecosystem[J]. Ningxia Engineering Technology, 2012, 11(4): 390−395 doi: 10.3969/j.issn.1671-7244.2012.04.028
|
[12] |
GAO T, YANG X C, JIN Y X, et al. Spatio-temporal variation in vegetation biomass and its relationships with climate factors in the Xilingol grasslands, Northern China[J]. PLoS One, 2013, 8(12): e83824 doi: 10.1371/journal.pone.0083824
|
[13] |
姚兴成, 曲恬甜, 常文静, 等. 基于MODIS数据和植被特征估算草地生物量[J]. 中国生态农业学报, 2017, 25(4): 530−541YAO X C, QU T T, CHANG W J, et al. Estimation of grassland biomass using MODIS data and plant community characteristics[J]. Chinese Journal of Eco-Agriculture, 2017, 25(4): 530−541
|
[14] |
梁顺林, 白瑞, 陈晓娜, 等. 2019年中国陆表定量遥感发展综述[J]. 遥感学报, 2020, 24(6): 618−671LIANG S L, BAI R, CHEN X N, et al. Review of China’s land surface quantitative remote sensing development in 2019[J]. Journal of Remote Sensing, 2020, 24(6): 618−671
|
[15] |
方臣, 胡飞, 陈曦, 等. 自然资源遥感应用研究进展[J]. 资源环境与工程, 2019, 33(4): 563−569FANG C, HU F, CHEN X, et al. Advances in application of remote sensing to natural resources[J]. Resources Environment & Engineering, 2019, 33(4): 563−569
|
[16] |
杨闫君. 基于植被指数时序谱类内差异特征的冬小麦遥感识别研究[D]. 南京: 南京大学, 2019YANG Y J. Remote sensing-based winter wheat identification considering temporal-spectral intra-class difference characteristics of vegetation index[D]. Nanjing: Nanjing University, 2019
|
[17] |
刘良云. 植被定量遥感原理与应用[M]. 北京: 科学出版社, 2014LIU L Y. Principle and Application of Quantitative Remote Sensing for Vegetation[M]. Beijing: Science Press, 2014
|
[18] |
徐斌, 杨秀春, 金云翔. 草原植被遥感监测[M]. 北京: 科学出版社, 2016XU B, YANG X C, JIN Y X. Remote Sensing Monitoring of Grassland Vegetation[M]. Beijing: Science Press, 2016
|
[19] |
徐斌, 杨秀春, 侯向阳, 等. 草原植被遥感监测方法研究进展[J]. 科技导报, 2007, 25(9): 5−8 doi: 10.3321/j.issn:1000-7857.2007.09.002XU B, YANG X C, HOU X Y, et al. Advance of technology of remote sensing monitoring for grassland vegetation[J]. Science & Technology Review, 2007, 25(9): 5−8 doi: 10.3321/j.issn:1000-7857.2007.09.002
|
[20] |
PIDGORODETSKA L V, ZYELYK Y I. Detection of winter crops by satellite data on the basis of soil-adaptive perpendicular vegetation index[J]. Astronomical School’s Report, 2015, 11(1): 91−98 doi: 10.18372/2411-6602.11.1091
|
[21] |
李楠, 韩金锋, 阳维宗, 等. 2000—2019年若尔盖高原植被生长季NDVI时空变化特征研究[J]. 西南林业大学学报: 自然科学, 2021, 41(1): 133−139LI N, HAN J F, YANG W Z, et al. Spatio-temporal variation of NDVI in the vegetation growing season of the Zoige Plateau from 2000 to 2019[J]. Journal of Southwest Forestry University: Natural Sciences, 2021, 41(1): 133−139
|
[22] |
孙丽, 王蔚丹, 陈媛媛, 等. 2019年美国冬小麦长势遥感监测分析[J]. 安徽农业科学, 2020, 48(1): 241−244 doi: 10.3969/j.issn.0517-6611.2020.01.072SUN L, WANG W D, CHEN Y Y, et al. Analysis of winter wheat growth of United States with remote sensing data in 2019[J]. Journal of Anhui Agricultural Sciences, 2020, 48(1): 241−244 doi: 10.3969/j.issn.0517-6611.2020.01.072
|
[23] |
LI C C, LI H J, LI J Z, et al. Using NDVI percentiles to monitor real-time crop growth[J]. Computers and Electronics in Agriculture, 2019, 162: 357−363 doi: 10.1016/j.compag.2019.04.026
|
[24] |
蒙继华. 农作物长势遥感监测指标研究[D]. 北京: 中国科学院研究生院(中国科学院遥感应用研究所), 2006MENG J H. Research to crop growth monitoring indicators with remote sensing[D]. Beijing: Graduate University of Chinese Academay of Sciences (Institute of Remote Sensing Applications, Chinese Academy of Sciences), 2006
|
[25] |
吴文斌, 史云, 周清波, 等. 天空地数字农业管理系统框架设计与构建建议[J]. 智慧农业, 2019, 1(2): 64−72WU W B, SHI Y, ZHOU Q B, et al. Framework and recommendation for constructing the SAGI digital agriculture system[J]. Smart Agriculture, 2019, 1(2): 64−72
|
[26] |
杨杰, 张莹莹, 王建雄, 等. 利用NDVI与EVI再合成的植被指数算法[J]. 遥感信息, 2020, 35(5): 127−133 doi: 10.3969/j.issn.1000-3177.2020.05.016YANG J, ZHANG Y Y, WANG J X, et al. Vegetation index algorithm using NDVI and EVI resynthesis[J]. Remote Sensing Information, 2020, 35(5): 127−133 doi: 10.3969/j.issn.1000-3177.2020.05.016
|