The case for remote sensing of individual plants.
The case for remote sensing of individual plants.
复制标题
单个植物遥感的案例。
DOI：
10.1002/ajb2.1347
复制
发表时间：
2019
影响因子：
3
通讯作者：
K. Cushman
中科院分区：
文献类型：
--
作者：
J. Kellner;L. Albert;John T Burley;K. Cushman
遥感极大地促进了我们对陆地表面和生物在其中的作用的理解（Tucker和Sellers，1986年）。但是，我们从遥感数据中产生与生物过程明显一致的观测结果的能力有限。问题在于，自然选择、新陈代谢和资源分配等生物过程在个体内部和个体之间存在差异，并且在空间和时间尺度上发生变化，这种变化比传统遥感测量的粒度更细。技术的进步有望克服这一问题，方法是从安装在塔上的、机载的和卫星传感器生成与生物学理解相一致的空间和时间尺度的数据。小型化传感器设计专注于可由无人机携带或在现场平台上操作的轻型仪器。现在，由称为立方体卫星的小型传感器组成的星座正在太空中协同工作，每天以足够精细的分辨率对我们星球的整个陆地表面进行成像，以分辨单个植物。这些新技术所代表的数量上的进步是重要的，但最重要的进步是概念上的。超高空间和时间分辨率的遥感测量为表征我们无法掌握的现象打开了大门，包括种群动态（Kellner和Hubbell，2017，2018），高空间分辨率物候学（Wu等人，2016），以及可能与生物体条件相关的物理量，如叶片化学，冠层温度和太阳诱导荧光（Daumard et al.，2010; Porcar-Castell等人，2014）。这些新的测量跨越了空间、时间和生物组织的尺度阈值，这些阈值与几十年来对植物生物学的理解清楚地一致（Gamon et al.，1992年; Demmig亚当斯和亚当斯，2006年）。
Remote sensing has greatly advanced our understanding of the land surface and the role of biology within it (Tucker and Sellers, 1986). But our ability to generate observations from remote sensing data at scales clearly aligned with biological processes has been limited. The problem is that biological processes like natural selection, metabolism, and resource allocation vary within and among individuals and change on scales of space and time that are finer than the granularity of traditional remote sensing measurements. Advances in technology are poised to overcome this problem by generating data from tower mounted, airborne and satellite sensors at scales of space and time aligned with biological understanding. Miniaturized sensor designs focus on lightweight instruments that can be carried by drones or operated on field platforms. And constellations of small sensors called cube‐sats are now working together in space to image the entire land surface of our planet every day at resolutions fine enough to resolve individual plants. The quantitative step forward represented by these new technologies is significant, but the most important advance is conceptual. Measurements from remote sensing at ultra‐high spatial and temporal resolution open the door to characterizing phenomena that have been beyond our grasp, including population dynamics (Kellner and Hubbell, 2017, 2018), high‐spatial‐resolution phenology (Wu et al., 2016), and physical quantities that can be related to organismal condition, like foliar chemistry, canopy temperature and solar‐induced fluorescence (Daumard et al., 2010; Porcar‐Castell et al., 2014). These new measurements cross thresholds of scale in space, time, and biological organization that are clearly aligned with decades of understanding in plant biology (Gamon et al., 1992; Demmig‐Adams and Adams, 2006).
影响因子：
11.6
作者：
Li, Xing;Xiao, Jingfeng;Varlagin, Andrej
通讯作者：
Varlagin, Andrej
影响因子：
56.9
作者：
Sun, Y.;Frankenberg, C.;Yuen, K.
通讯作者：
Yuen, K.
DOI：
10.1073/pnas.1320008111
发表时间：
2014-04-08
影响因子：
11.1
作者：
Guanter, Luis;Zhang, Yongguang;Griffis, Timothy J.
通讯作者：
Griffis, Timothy J.