Estimación de biomasa y cobertura aérea usando radiometría e imágenes digitales a nivel de campo en pastizales y matorrales.

IF 0.3 Q4 AGRONOMY Terra Latinoamericana Pub Date : 2017-07-06 DOI:10.28940/TERRA.V35I3.133
E. Castillo, Fernando Paz Pellat, M. González
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引用次数: 6

Abstract

To analyze the relationship between vegetation reflectances obtained through the use of optical sensors with aerial cover and biomass production, a sampling campaign was carried out in the states of Mexico, Jalisco, Zacatecas, Coahuila, Durango, and Queretaro using multispectral radiometers under field conditions. In addition to radiometric data collection, digital photographs were taken to estimate aerial coverage using supervised classification methods. Approximately 15% of the measurement points were aerial biomass sampling. The relationship of vegetation index (NDVIcp, IVCP and β) to biomass and aerial cover were analyzed with a sampling scheme, establishing a relationship between these biophysical variables. Estimation of the biomass and vegetation cover in a faster way, allows estimating the condition, trend or production of natural vegetation in grasslands and scrublands, making it possible to make management decisions more efficiently and expedite. The model used to obtain biomass production in grassland and scrubland, through radiometric data and vegetation cover, considering that the processed data correspond to the linear phase of the vegetative growth stage, gives very good results for this type of vegetation (R2 = 0.98).
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利用辐射测量和数字图像估算草地和灌木的生物量和空中覆盖。
为了分析利用具有空中覆盖的光学传感器获得的植被反射率与生物量生产之间的关系,在野外条件下,利用多光谱辐射计在墨西哥、哈利斯科州、萨卡特卡斯州、科阿韦拉州、杜兰戈州和克雷塔罗州进行了采样活动。除了辐射数据收集外,还拍摄了数字照片,使用监督分类方法估计空中覆盖范围。大约15%的测量点是空中生物量采样。采用抽样方法分析了植被指数(NDVIcp、IVCP和β)与生物量和空中覆盖度的关系,建立了植被指数与生物量和空中覆盖度之间的关系。更快地估算生物量和植被覆盖,可以估算草地和灌丛中自然植被的状况、趋势或产量,从而可以更有效、更快地做出管理决策。通过辐射数据和植被覆盖度计算草地和灌丛地生物量产量的模型,由于处理后的数据对应的是植被生长期的线性阶段,因此对这类植被的计算结果非常好(R2 = 0.98)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Terra Latinoamericana
Terra Latinoamericana Environmental Science-Ecology
CiteScore
1.10
自引率
0.00%
发文量
49
审稿时长
16 weeks
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