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High resolution satellite imaging sensors for precision agriculture
Chenghai YANG
《农业科学与工程前沿(英文)》 2018年 第5卷 第4期 页码 393-405 doi: 10.15302/J-FASE-2018226
The central concept of precision agriculture is to manage within-field soil and crop growth variability for more efficient use of farming inputs. Remote sensing has been an integral part of precision agriculture since the farming technology started developing in the mid to late 1980s. Various types of remote sensors carried on ground-based platforms, manned aircraft, satellites, and more recently, unmanned aircraft have been used for precision agriculture applications. Original satellite sensors, such as Landsat and SPOT, have commonly been used for agricultural applications over large geographic areas since the 1970s, but they have limited use for precision agriculture because of their relatively coarse spatial resolution and long revisit time. Recent developments in high resolution satellite sensors have significantly narrowed the gap in spatial resolution between satellite imagery and airborne imagery. Since the first high resolution satellite sensor IKONOS was launched in 1999, numerous commercial high resolution satellite sensors have become available. These imaging sensors not only provide images with high spatial resolution, but can also repeatedly view the same target area. The high revisit frequency and fast data turnaround time, combined with their relatively large aerial coverage, make high resolution satellite sensors attractive for many applications, including precision agriculture. This article will provide an overview of commercially available high resolution satellite sensors that have been used or have potential for precision agriculture. The applications of these sensors for precision agriculture are reviewed and application examples based on the studies conducted by the author and his collaborators are provided to illustrate how high resolution satellite imagery has been used for crop identification, crop yield variability mapping and pest management. Some challenges and future directions on the use of high resolution satellite sensors and other types of remote sensors for precision agriculture are discussed.
关键词: high resolution satellite sensor multispectral imagery precision agriculture spatial resolution temporal resolution
Li-gang MA,Jin-song DENG,Huai YANG,Yang HONG,Ke WANG
《信息与电子工程前沿(英文)》 2015年 第16卷 第3期 页码 238-248 doi: 10.1631/FITEE.1400083
关键词: ZY-1 02C satellite Classification Urban Multi-variable model
遥感和精准农业技术在作物病害检测与管理中的应用实例 Review
杨成海
《工程(英文)》 2020年 第6卷 第5期 页码 528-532 doi: 10.1016/j.eng.2019.10.015
长期以来,遥感技术一直被应用于作物病害的检测和地图绘制工作。在作物生长季节获得的机载和卫星图像不仅可以用于某些病害的早期发现和季节内管理,还可用于未来季节中复发性病害的管控。尽管传统的地毯式杀虫剂施用更适于对付能够迅速在田间传播的病害,然而,在作物病害稳定的情况下,精准农业中的变量控制技术(VRT)亦可以有针对性地对受感染地区的作物有效施用杀菌剂。本文简述了已用于作物病害检测和管理的遥感技术和精准农业技术。具体来说,本文详细阐明了利用机载技术、卫星图像和VRT在棉田中检测棉花根腐病(一种破坏性的土壤传播性真菌病)和绘制分布地图的原理,介绍了从图像中提取处方图以施用定点杀菌剂并有效控制作物病害的方法。本文介绍的案例和方法力图为研究人员、推广人员、种植者、作物顾问、农场设备和化学品经销商提供有关遥感检测和有效管理某些作物病害的实用指南。
面向脑机接口基于改进的共同空间模式方法的单次运动想象脑电分类 Research Articles
Zhi-chuan TANG, Chao LI, Jian-feng WU, Peng-cheng LIU, Shi-wei CHENG
《信息与电子工程前沿(英文)》 2019年 第20卷 第8期 页码 1087-1098 doi: 10.1631/FITEE.1800083
高分辨率光谱视频采集 Review
Lin-sen CHEN, Tao YUE, Xun CAO, Zhan MA, David J. BRADY
《信息与电子工程前沿(英文)》 2017年 第18卷 第9期 页码 1250-1260 doi: 10.1631/FITEE.1700098
标题 作者 时间 类型 操作
Urban landscape classification using Chinese advanced high-resolution satellite imagery and an object-oriented
Li-gang MA,Jin-song DENG,Huai YANG,Yang HONG,Ke WANG
期刊论文
面向脑机接口基于改进的共同空间模式方法的单次运动想象脑电分类
Zhi-chuan TANG, Chao LI, Jian-feng WU, Peng-cheng LIU, Shi-wei CHENG
期刊论文