利用航空照片识别和评估土壤侵蚀调查中的问题区域

IF 2.1 3区 地球科学 Q2 GEOGRAPHY, PHYSICAL
R. Jones, M. Keech
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引用次数: 14

摘要

沟壑侵蚀多年来一直是罗得西亚部落托管地的一个问题。本文描述了土壤保持局的工作人员如何在没有这些地区的地面知识的情况下,使用高质量的1/25,000比例尺航空照片来测量沟壑侵蚀的程度,并确定侵蚀的“黑点”。这样就可以迅速而可靠地估计填海工程的费用,而无需进行耗时的实地调查。本文所讨论的调查方法可以广泛应用于任何发生沟蚀和需要控制的地方。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IDENTIFYING AND ASSESSING PROBLEM AREAS IN SOIL EROSION SURVEYS USING AERIAL PHOTOGRAPHS
Gully erosion has for many years been a problem in Rhodesia1s Tribal Trust Lands. This paper describes how Soil Conservation Service staff, with no previous ground knowledge of these areas, used good quality 1/25,000 scale aerial photographs to measure the extent of the gully erosion and to pinpoint erosion “black spots.” This enabled quick and reliable estimates of the cost of reclamation work to be made without the need for time-consuming field survey. The survey method discussed is capable of wide application wherever gully erosion occurs and needs to be brought under control.
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来源期刊
Photogrammetric Record
Photogrammetric Record 地学-成像科学与照相技术
CiteScore
3.60
自引率
25.00%
发文量
71
审稿时长
>12 weeks
期刊介绍: The Photogrammetric Record is an international journal containing original, independently and rapidly refereed articles that reflect modern advancements in photogrammetry, 3D imaging, computer vision, and other related non-contact fields. All aspects of the measurement workflow are relevant, from sensor characterisation and modelling, data acquisition, processing algorithms and product generation, to novel applications. The journal provides a record of new research which will contribute both to the advancement of photogrammetric knowledge and to the application of techniques in novel ways. It also seeks to stimulate debate though correspondence, and carries reviews of recent literature from the wider geomatics discipline. Relevant topics include, but are not restricted to: - Photogrammetric sensor calibration and characterisation - Laser scanning (lidar) - Image and 3D sensor technology (e.g. range cameras, natural user interface systems) - Photogrammetric aspects of image processing (e.g. radiometric methods, feature extraction, image matching and scene classification) - Mobile mapping and unmanned vehicular systems (UVS; UAVs) - Registration and orientation - Data fusion and integration of 3D and 2D datasets - Point cloud processing - 3D modelling and reconstruction - Algorithms and novel software - Visualisation and virtual reality - Terrain/object modelling and photogrammetric product generation - Geometric sensor models - Databases and structures for imaging and 3D modelling - Standards and best practice for data acquisition and storage - Change detection and monitoring, and sequence analysis
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