Mapping Impervious Surfaces Precisely—a GIS-Based Methodology Combining Vector Data and High-Resolution Airborne Imagery

Schmidt, Sebastian; Barron, Christopher

doi:10.1007/s41651-020-00055-6

Cited by 13 publications

(13 citation statements)

References 41 publications

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“…Remote sensing imagery represents an efficient method to improve knowledge of urban cover and to facilitate monitoring over time, especially now that high resolution aerial images are cheaper than in the past [25,26]. Remote sensing has been widely used for discriminating large scale land cover types [27], and its products can be integrated with geographic information systems (GISs) [28,29]. Urban cover classification or urban greening assessment have been mainly tested using satellite data (e.g., Landsat OLI images) [13,30,31], enabling only low resolution classifications.…”

Section: Introductionmentioning

confidence: 99%

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Mapping Pervious Surfaces and Canopy Cover Using High-Resolution Airborne Imagery and Digital Elevation Models to Support Urban Planning

et al. 2022

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Urban green infrastructure (UGI) has a key role in improving human and environmental health in cities and contributes to several services related to climate adaptation. Accurate localization and quantification of pervious surfaces and canopy cover are envisaged to implement UGI, address sustainable spatial planning, and include adaptation and mitigation strategies in urban planning practices. This study aims to propose a simple and replicable process to map pervious surfaces and canopy cover and to investigate the reliability and the potential planning uses of UGI maps. The proposed method combines the normalized difference vegetation index (NDVI), extracted from high-resolution airborne imagery (0.20 m), with digital elevation models to map pervious surfaces and canopy cover. The approach is tested in the Municipality of Trento, Italy, and, according to a random sampling validation, has an accuracy exceeding 80%. The paper provides a detailed map of green spaces in the urban areas, describing quantity and distribution, and proposes a synthesis map expressed as a block-level degree of pervious surfaces and canopy cover to drive urban transformations. The proposed approach constitutes a useful tool to geovisualize critical areas and to compare levels of pervious surfaces and canopy cover in the municipal area. Acknowledging the role of green areas in the urban environment, the paper examines the potential applications of the maps in the policy cycle, such as land use management and monitoring, and in climate-related practices, and discusses their integration into the current planning tools to shift towards performative rather than prescriptive planning.

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Section: Introductionmentioning

confidence: 99%

“…In urban landscapes, high spatial resolution is crucial to provide accurate urban cover classifications [29,32]. Urban cover assessment using high resolution imagery, in addition to offering a highly detailed map, allows the use of maps to drive urban transformations and to compare future scenarios [33].…”

Section: Introductionmentioning

confidence: 99%

Mapping Pervious Surfaces and Canopy Cover Using High-Resolution Airborne Imagery and Digital Elevation Models to Support Urban Planning

et al. 2022

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“…In addition, the agricultural planting structure in my country is complex and diverse, the fields are fragmented, the mixed pixel phenomenon is serious, and the fragmentation of the fields and other factors will also affect the classification accuracy of remote sensing. The accurate identification of ground objects and the correct classification of land use types require high spatial resolution of remote sensing data [ 21 – 23 ]. On the one hand, a reasonable model is used to decompose the mixed pixels, which can improve the classification accuracy to a certain extent.…”

Section: Research Progress Of Remote Sensing Classification Based On ...mentioning

confidence: 99%

Research on Land Use Planning Based on Multisource Remote Sensing Data

Wang

Pei

Lei

2022

Computational Intelligence and Neuroscience

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Land use changes are analyzed correctly, a series of improvements according to the changes are carried out appropriately, the relationship between land use development and economic and human survival is handled correctly, and the healthy and orderly development of the entire society is promoted. Aiming at the combination of multisource remote sensing data and monitoring changes in land planning, this study uses CBERS data and ASAR data as multisource remote sensing data sources to conduct in-depth research and discussion on the land use change in this area and uses the HPF pixel-level fusion method for data fusion to generate HPF. The data are integrated, and then, the CBERS data and HPF fusion data are used to extract the land use type information of Zhenning County, respectively, and a confusion matrix is built based on the field sample points to verify the accuracy, compare and analyze the relative error of the land use type information extraction before and after data fusion, and evaluate the CBERS data. Regarding the extraction effect of land use type information of fusion data with HPF, the results show that the two kinds of remote sensing data have good effects in extracting water body type information, and the accuracy has reached 100%. Using multisource remote sensing image processing can well summarize and analyze land use changes and make the changes in various indicators in the study area. Accurate statistics is obtained.

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“…A vector map consists of a number of data layers, and each layer consists of attribute data and geometry data [25,26], as shown in Figure 1a. The attribute data presents the storage information such as ID, Text and Name.…”

Section: Vector Map Datamentioning

confidence: 99%

A Novel Invariant Based Commutative Encryption and Watermarking Algorithm for Vector Maps

Zhang

Wang

et al. 2021

IJGI

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Commutative encryption and watermarking (CEW) is an emerging method that combines encryption technology with digital watermarking technology. It has the dual capability of secure transmission and copyright protection. However, the existing CEW methods for vector maps have good robustness in resisting geometric attacks but poor resistance to vertex attacks (e.g., addition, deletion, etc.). To solve this problem, here we propose a novel invariant-based CEW algorithm for vector maps, which consists of permutation-based encryption scheme and coordinates-based watermarking scheme. In the encryption scheme, the encryption key is generated via the Gaussian distribution method combined with the SHA-512 hash method; then, the double random position permutation strategy is applied to the vector map encryption. In watermarking embedding scheme, the original watermark image is scrambled via logistic chaotic encryption before embedding, and the coordinates of all the vertices are normalized. Then, the scrambled watermark image is embedded into the normalized coordinates. Results show that: proposed method is more robust to conventional attacks (e.g., vertex addition and deletion, reordering and data format conversion) and geometric attacks (e.g., scaling and translation). In addition, compared with the existing CEW methods for vector maps, the proposed method has higher security and stronger robustness against vertex attacks.

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Mapping Impervious Surfaces Precisely—a GIS-Based Methodology Combining Vector Data and High-Resolution Airborne Imagery

Cited by 13 publications

References 41 publications

Mapping Pervious Surfaces and Canopy Cover Using High-Resolution Airborne Imagery and Digital Elevation Models to Support Urban Planning

Mapping Pervious Surfaces and Canopy Cover Using High-Resolution Airborne Imagery and Digital Elevation Models to Support Urban Planning

Research on Land Use Planning Based on Multisource Remote Sensing Data

A Novel Invariant Based Commutative Encryption and Watermarking Algorithm for Vector Maps

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