Biomass distribution mapping using airborne digital video imagery and spatial statistics in a semi-arid environment
Biomass distribution mapping using airborne digital video imagery and spatial statistics in a semi-arid environment
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在半干旱环境中使用机载数字视频图像和空间统计绘制生物量分布图
DOI：
10.1006/jema.1996.0042
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发表时间：
1996
期刊：
影响因子：
--
通讯作者：
L. Huenneke
中科院分区：
文献类型：
--
作者：
S. Phinn;J. Franklin;A. Hope;D. Stow;L. Huenneke
摘要利用高分辨率航空数字视频图像数据、生物量测量和空间统计方法，绘制了Jornada长期生态研究(LTER)站点(新墨西哥州南部)5个主要半干旱植物群落的地上生物量图。两个主要目标是确定：(1)干旱灌木和半干旱草地植被的空间特征；(2)合适的图像空间分辨率和地面采样间隔，以绘制这些植被类型的地上生物量空间分布图。通过使用半方差函数对不同像素大小的数字图像进行分析，建立了每个植物群落的空间特征。当像元大小从0.5m增加到16m时，草地和Playa草地站点的植被格局和丰富度信息几乎没有丢失。相比之下，当像素大小超过平均灌木直径时，灌木地的植被格局和丰富度就变得模糊。这项工作说明了遥感数据的变异函数在两个方面的应用：(1)确定检查生态系统空间结构的适当尺度；(2)在荒漠化模型的背景下提供关于植被空间格局的信息，作为生态系统状况的指标。
Abstract High resolution airborne digital video image data, biomass measurements and spatial statistics were used to map above-ground biomass for the five major semi-arid plant communities in the Jornada Long Term Ecological Research (LTER) site (southern New Mexico). The two principal objectives were to determine: (1) spatial characteristics of arid shrub versus semi-arid grassland vegetation; and (2) a suitable image spatial resolution and ground sampling interval to map above-ground biomass spatial distribution for these vegetation types. The spatial characteristics of each plant community were established by analyzing digital images at varying pixel sizes using semi-variograms. As pixel size increased from 0·5 m to 16 m, little information on vegetation pattern and abundance was lost in grassland and playa grassland sites. In comparison, the pattern and abundance of vegetation became indistinct in shrubland sites once pixel size exceeded mean shrub diameter. This work illustrates the utility of variograms from remotely sensed data for two applications: (1) determining a suitable scale to examine an ecosystem's spatial structure; and (2) providing information on the spatial pattern of vegetation as an indicator of ecosystem condition in the context of a model for desertification.