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首页> 外文OA文献 >'I can’t be green if I’m in the red': combining precision agriculture and remote sensing technologies for sub field and regional decision making.
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'I can’t be green if I’m in the red': combining precision agriculture and remote sensing technologies for sub field and regional decision making.

机译：“如果我处于红色状态，我就不能成为绿色”：将精准农业和遥感技术结合起来进行子领域和区域决策。

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摘要

Balancing sustainable agricultural production with environmental, social, cultural and community objectives under the uncertainty of the impacts of climate change on rural livelihoods has become an increasing priority worldwide. This may mean land-use pattern, that have evolved over the last decades may be suboptimal. Environmental degradation but also economic opportunities for climate change mitigation from carbon sequestration may support alternative land-use scenarios. However, the majority of cost of such changes is expected to be borne by the landholder and adoption of alternative land uses will only occur if profit from traditional cropping practices is comparative to new options, namely, in areas where the economic opportunity cost is low.Precision agriculture has shown that yield variation in fields can be substantial and here lies the potential that is explored in this thesis. Precision agriculture provides data with aspatial resolution that is fine enough to reflect the spatial variably within fields. If unproductive patches can be allocated to more environmentally friendly use, both the environment and farm economy may benefit. However, inherent problems exist with the technology and these need to be addressed before the information can be used in the decision making process. A preparation step in this thesis is therefore to evaluate a suite of targeted algorithms to remove a substantial amount of yield mapping errors.This thesis examines the degree of spatial and temporal variability and estimates a potential range of economic opportunity costs that might be associated with reallocation ofland to different use. Although dependent on the interplay between the spatial and temporal variability of yield and the price volatility of international commodity markets, a likelyscenario shows that about 50% of the land may be taken out of production with only a 25% reduction in income.Regional land managers do not have access to precision agriculture data because yield mapping data does not exist at a scale or temporal dimension required for regional analyses. This thesis shows that it is possible to creating high resolution estimates of economic performance at a broad scale by extrapolating yield mapping data from early adopters to an entire study area using remotely sensed imagery over numerous seasons. This also has strong benefits for landholders who do not have long time series of yield data. By using satellite remote sensing they may be able to leap frog the long phase of yield map archiving giving them the ability to make management and land use decisions sooner.This thesis suggests that high resolution yield estimates combined with financial estimates of production can identify cropping areas with marginal income returns. This type ofinformation may facilitate adoption of a mix of environmentally friendly land uses in the cropping landscape without significant financial repercussions to the grower. Additionally, the mapping of this information will act as a critical sounding board between the land holder and the catchment manager where conflicting objectives of economic and environmental outcomes can be compared.
机译：在气候变化对农村生计的影响尚不确定的情况下，实现可持续农业生产与环境，社会，文化和社区目标之间的平衡已成为世界范围内日益重要的任务。这可能意味着过去几十年来演变的土地利用模式可能不是最理想的。环境退化以及碳封存缓解气候变化的经济机会可能会支持其他土地利用方案。但是，这种变化的大部分成本预计将由土地所有者承担，并且只有在传统耕作方式的收益与新选择相比时，即在经济机会成本较低的地区，才会采用替代土地用途。精确农业表明，田间的产量变化可能很大，这正是本文所研究的潜力。精准农业提供的空间分辨率数据足以反映田间空间的可变性。如果可以将非生产性补丁分配给更环保的使用，那么环境和农场经济都可能会受益。但是，该技术存在固有的问题，需要先解决这些问题，然后才能在决策过程中使用该信息。因此，本文的准备步骤是评估一套有针对性的算法，以消除大量的收益映射错误。本文研究了空间和时间变化的程度，并估计了可能与重新分配相关的经济机会成本的潜在范围陆地不同的用途。尽管取决于产量的时空变化与国际商品市场价格波动之间的相互作用，但一种可能的情况表明，大约50％的土地可能被剥夺了生产，而收入却减少了25％。无法获得精确农业数据，因为在区域分析所需的规模或时间维度上不存在产量映射数据。本论文表明，可以通过使用多个季节的遥感图像，将早期采用者的产量映射数据外推到整个研究区域，从而在较大范围内创建高分辨率的经济绩效估算。对于没有长期产量数据序列的土地所有者来说，这也具有很大的好处。通过使用卫星遥感，他们也许可以跳过长期的产量图归档工作，从而使他们能够更快地做出管理和土地使用决策。边际收益回报。这种类型的信息可能有助于在种植景观中采用多种环境友好的土地用途，而不会给种植者带来重大的财务影响。此外，此信息的映射将作为土地所有者和集水区管理者之间的重要探空板，可以比较经济和环境结果相互矛盾的目标。

著录项

  • 作者

    Lyle Gregory Maxwell;

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  • 年度 2010
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  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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