Suppr超能文献

巴西圣保罗州甘蔗生物量估算的地面参考数据。

Ground reference data for sugarcane biomass estimation in São Paulo state, Brazil.

机构信息

Geoscience and Remote Sensing, Delft University of Technology, Delft 2628CN, The Netherlands.

FEAGRI, Unicamp, Campinas 13083-875, Brazil.

出版信息

Sci Data. 2018 Aug 7;5:180150. doi: 10.1038/sdata.2018.150.

Abstract

In order to make effective decisions on sustainable development, it is essential for sugarcane-producing countries to take into account sugarcane acreage and sugarcane production dynamics. The availability of sugarcane biophysical data along the growth season is key to an effective mapping of such dynamics, especially to tune agronomic models and to cross-validate indirect satellite measurements. Here, we introduce a dataset comprising 3,500 sugarcane observations collected from October 2014 until October 2015 at four fields in the São Paulo state (Brazil). The campaign included both non-destructive measurements of plant biometrics and destructive biomass weighing procedures. The acquisition plan was designed to maximize cost-effectiveness and minimize field-invasiveness, hence the non-destructive measurements outnumber the destructive ones. To compensate for such imbalance, a method to convert the measured biometrics into biomass estimates, based on the empirical adjustment of allometric models, is proposed. In addition, the paper addresses the precisions associated to the ground measurements and derived metrics. The presented growth dynamics and associated precisions can be adopted when designing new sugarcane measurement campaigns.

摘要

为了在可持续发展方面做出有效决策,甘蔗生产国必须考虑甘蔗种植面积和甘蔗生产动态。在整个生长季节提供甘蔗生物物理数据对于有效绘制此类动态至关重要,特别是对于调整农艺模型和交叉验证间接卫星测量。在这里,我们介绍了一个数据集,其中包含 2014 年 10 月至 2015 年 10 月在巴西圣保罗州的四个田块中收集的 3500 个甘蔗观测值。该活动包括对植物生物计量学的非破坏性测量和破坏性生物量称重程序。采集计划旨在最大限度地提高成本效益,最大限度地减少对田地的干扰,因此非破坏性测量的数量超过了破坏性测量。为了弥补这种不平衡,提出了一种基于对算法模型进行经验调整的方法,将测量的生物计量学值转换为生物量估计值。此外,本文还讨论了与地面测量和衍生指标相关的精度。在设计新的甘蔗测量活动时,可以采用所呈现的生长动态及其相关精度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fff/6080497/da47ae200a7e/sdata2018150-f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验