Assessing woody vegetation cover dynamics in the Kruger National Park, South Africa: Linking historical aerial photographs and spot imagery

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2015-11-12 DOI:10.1109/IGARSS.2015.7326762

C. Munyati, N. I. Sinthumule

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引用次数: 1

Abstract

The coexistence of woody vegetation and grass characterises savannas. High spatial resolution digital satellite images and appropriate image processing algorithms can facilitate monitoring of the woody cover. Historical aerial photographs enable an extension of high spatial resolution analysis of the woody cover to periods before satellite imagery. This study tested a methodology that used historical (1998, 2012) SPOT-4 HRVIR gray scale (“red”) band (0.6-0.68um, 10m resolution) and SPOT-5 HRG panchromatic band (0.48-0.71 urn, 5m resolution) images in combination with panchromatic (0.4-0.7um) aerial photographs (1940, 1968, 1977; 0.44-1.35m resolution) in monitoring woody cover at sites in the Kruger National Park, South Africa. Mean Euclidean Distance texture analysis in 3×3 moving windows enhanced woody cover. The woody cover on the respective multitemporal texture images was extracted through K-means clustering, with high (>85%) indicative classification accuracy. Boolean GIS overlay analysis of the resulting woody cover thematic layers enabled woody cover change detection.

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评估南非克鲁格国家公园的木质植被覆盖动态:将历史航空照片和现场图像联系起来

稀树草原的特点是木本植物和草的共存。高空间分辨率的数字卫星图像和适当的图像处理算法可以方便地监测树木覆盖。历史航拍照片可以将对树木覆盖的高空间分辨率分析扩展到卫星图像之前的时期。本研究测试了一种方法，该方法将历史(1998年，2012年)SPOT-4 HRVIR灰度(“红色”)波段(0.6-0.68um, 10m分辨率)和SPOT-5 HRG全色波段(0.48-0.71 urn, 5m分辨率)图像与全色(0.4-0.7um)航空照片(1940年，1968年，1977年;在南非克鲁格国家公园监测树木覆盖。3×3移动窗口增强木质覆盖物的平均欧氏距离纹理分析。通过K-means聚类提取各时序纹理图像上的木质覆盖物，具有较高(>85%)的指示性分类准确率。布尔GIS叠加分析得到的树木覆盖主题层使树木覆盖变化检测成为可能。

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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2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

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