DOI: 10.1016/j.jag.2017.09.005
Scopus记录号: 2-s2.0-85032212319
论文题名: Applications of satellite ‘hyper-sensing’ in Chinese agriculture: Challenges and opportunities
作者: Onojeghuo A ; O ; , Blackburn G ; A ; , Huang J ; , Kindred D ; , Huang W
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2018
卷: 64 起始页码: 62
结束页码: 86
语种: 英语
英文关键词: China
; High-spatial
; Hyper-sensing
; Hyperspectral
; Remote sensing
; Temporal
; Yield sustainability
Scopus关键词: agriculture
; maximum sustainable yield
; multispectral image
; remote sensing
; satellite imagery
; spatial analysis
; temporal analysis
; China
英文摘要: Ensuring adequate food supplies to a large and increasing population continues to be the key challenge for China. Given the increasing integration of China within global markets for agricultural products, this issue is of considerable significance for global food security. Over the last 50 years, China has increased the production of its staple crops mainly by increasing yield per unit land area. However, this has largely been achieved through inappropriate agricultural practices, which have caused environmental degradation, with deleterious consequences for future agricultural productivity. Hence, there is now a pressing need to intensify agriculture in China using practices that are environmentally and economically sustainable. Given the dynamic nature of crops over space and time, the use of remote sensing technology has proven to be a valuable asset providing end-users in many countries with information to guide sustainable agricultural practices. Recently, the field has experienced considerable technological advancements reflected in the availability of ‘hyper-sensing’ (high spectral, spatial and temporal) satellite imagery useful for monitoring, modelling and mapping of agricultural crops. However, there still remains a significant challenge in fully exploiting such technologies for addressing agricultural problems in China. This review paper evaluates the potential contributions of satellite ‘hyper-sensing’ to agriculture in China and identifies the opportunities and challenges for future work. We perform a critical evaluation of current capabilities in satellite ‘hyper-sensing’ in agriculture with an emphasis on Chinese sensors. Our analysis draws on a series of in-depth examples based on recent and on-going projects in China that are developing ‘hyper-sensing’ approaches for (i) measuring crop phenology parameters and predicting yields; (ii) specifying crop fertiliser requirements; (iii) optimising management responses to abiotic and biotic stress in crops; (iv) maximising yields while minimising water use in arid regions; (v) large-scale crop/cropland mapping; and (vi) management zone delineation. The paper concludes with a synthesis of these application areas in order to define the requirements for future research, technological innovation and knowledge exchange in order to deliver yield sustainability in China. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79912
Appears in Collections: 气候变化事实与影响
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作者单位: Lancaster Environment Centre, Department of Geography, Lancaster University, United Kingdom; Institute of Agricultural Remote Sensing and Information Application, Zhejiang University, Hangzhou, China; ADAS UK Limited, Boxworth, Cambridge, United Kingdom; Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Haidian District, Beijing, China; Department of Surveying and Geoinformatics, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria
Recommended Citation:
Onojeghuo A,O,, Blackburn G,et al. Applications of satellite ‘hyper-sensing’ in Chinese agriculture: Challenges and opportunities[J]. International Journal of Applied Earth Observation and Geoinformation,2018-01-01,64