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首页> 外文会议>Conference on Ecosystems' Dynamics, Agricultural Remote Sensing and Modeling, and Site-Specific Agriculture; Aug 7, 2003; San Diego, California, USA >Remote sensing and implications for variable-rate application using agricultural aircraft
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Remote sensing and implications for variable-rate application using agricultural aircraft

机译：农业飞机的遥感及其对可变速率应用的影响

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摘要

Aircraft routinely used for agricultural spray application are finding utility for remote sensing. Data obtained from remote sensing can be used for prescription application of pesticides, fertilizers, cotton growth regulators, and water (the latter with the assistance of hyperspectral indices and thermal imaging). Digital video was used to detect weeds in early cotton, and preliminary data were obtained to see if nitrogen status could be detected in early soybeans. Weeds were differentiable from early cotton at very low altitudes (65-m), with the aid of supervised classification algorithms in the ENVI image analysis software. The camera was flown at very low altitude for acceptable pixel resolution. Nitrogen status was not detectable by statistical analysis of digital numbers (DNs) obtained from images, but soybean cultivar differences were statistically discernable (F=26, p=0.01). Spectroradiometer data are being analyzed to identity narrow spectral bands that might aid in selecting camera filters for determination of plant nitrogen status. Multiple camera configurations are proposed to allow vegetative indices to be developed more readily. Both remotely sensed field images and ground data are to be used for decision-making in a proposed variable-rate application system for agricultural aircraft. For this system, prescriptions generated from digital imagery and data will be coupled with GPS-based swath guidance and programmable flow control.
机译：常规用于农业喷雾应用的飞机正在发现可用于遥感的实用工具。从遥感获得的数据可用于处方施用农药，化肥，棉花生长调节剂和水（后者在高光谱指数和热成像的辅助下）。数字视频用于检测早期棉花中的杂草，并获得了初步数据以查看是否可以在早期大豆中检测到氮含量。借助ENVI图像分析软件中的监督分类算法，杂草与极低海拔（65-m）的早期棉花有所不同。相机在非常低的高度飞行，以获得可接受的像素分辨率。通过从图像中获得的数字数字（DN）的统计分析无法检测到氮的状态，但是可以从统计学上分辨出大豆品种的差异（F = 26，p = 0.01）。正在对光谱辐射仪数据进行分析，以识别狭窄的光谱带，这可能有助于选择照相机滤光片来确定植物氮的状况。提出了多种相机配置，以使植物指标更容易开发。在建议的农用飞机可变速率应用系统中，遥感场图像和地面数据都将用于决策。对于此系统，将从数字图像和数据生成的处方与基于GPS的条带引导和可编程流量控制相结合。

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