A GIS-based urban and peri-urban landscape representation toolbox for hydrological distributed modeling

Sanzana, P.; Girons, J.; Braud, Isabelle; Branger, Flora; Rodríguez, Fabrice; Vargas, Ximena; Hitschfeld, Nancy; Muoz, J.F.; Vicua, S.; Meja, A.; Jankowfsky, S.

doi:10.1016/j.envsoft.2017.01.022

Cited by 36 publications

(18 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Final surface runoff = F (Intensity, infiltration rate, wd) × Ro (po) (24) Final surface runoff = F (Intensity, infiltration rate, wd) × Ro (po) (25)…”

Section: Discussionmentioning

confidence: 99%

GEO-CWB: GIS-Based Algorithms for Parametrising the Responses of Catchment Dynamic Water Balance Regarding Climate and Land Use Changes

et al. 2020

View full text Add to dashboard Cite

Parametrising the spatially distributed dynamic catchment water balance is a critical factor in studying the hydrological system responses to climate and land use changes. This study presents the development of a geographic information system (GIS)-based set of algorithms (geographical spatially distributed water balance model (GEO-CWB)), which is developed from integrating physical, statistical, and machine learning models. The GEO-CWB tool has been developed to simulate and predict future spatially distributed dynamic water balance using GIS environment at the catchment scale in response to the future changes in climate variables and land use through a user-friendly interface. The tool helps in bridging the gap in quantifying the high-resolution dynamic water balance components for the large catchments by reducing the computational costs. Also, this paper presents the application and validation of GEO-CWB on the Shannon catchment in Ireland as an example of a large and complicated hydrological system. It can be concluded that climate and land use changes have significant effects on the spatial and temporal patterns of the different water balance components of the catchment.

show abstract

“…Final surface runoff = F (Intensity, infiltration rate, wd) × Ro (po) (24) Final surface runoff = F (Intensity, infiltration rate, wd) × Ro (po) (25)…”

Section: Discussionmentioning

confidence: 99%

GEO-CWB: GIS-Based Algorithms for Parametrising the Responses of Catchment Dynamic Water Balance Regarding Climate and Land Use Changes

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Currently, the commonly used algorithms for data simplification of vector line elements include the Douglas-Peucker algorithm [3], circle simplification [4], polygon fitting algorithm [5], McMaster-Jenks algorithm [6], [7], Delaunay triangulation algorithm [8], [9], GSC compression algorithm and de-GSC decomposition algorithm [10]- [12]. Wang [13] focused on the SPIHT compression algorithm and real-time visualization of large-scale scenes.…”

Section: Introductionmentioning

confidence: 99%

Morphological Expression Model for Geographic Elements Based on the Shape-Tree Principle

Shi

Wang

et al. 2021

IEEE Access

View full text Add to dashboard Cite

“…Land-use change monitoring is of great importance in managing the use and development of land resources [11]. The analysis of long-and short-term changes and their dynamics facilitates the development of appropriate tools for local and regional policies to support specific development directions and limit the identified rural development issues [12,13].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Changes in Forest Structure using Point Clouds from Historical Aerial Photographs

2019

View full text Add to dashboard Cite

Dynamic changes in land use, many of which are related to land abandonment, are taking place in many regions of the world. As a result, forest vegetation appears, which in part is a consequence of planned afforestation programs and in part has the characteristics of secondary forest succession. Monitoring of forest structure allows the range and dynamics of such changes to be identified. The aim of the study was to assess the usefulness of historical aerial photographs in the determination of forest structure. On the basis of such data, a point cloud was created which represented the forest structure in 1966. Subsequently, using airborne laser scanning data for the same area, corresponding datasets describing the situation in 2012 were created. Comparison of the two tall vegetation models made it possible to perform four analyses related to forest structure changes over a period of 46 years. The analyses were carried out in four areas in southern Poland. The analysis of the results confirmed that historical aerial photographs may be a valuable source in long-term analyses of changes in the range and height structure of areas containing tall vegetation.

show abstract

A GIS-based urban and peri-urban landscape representation toolbox for hydrological distributed modeling

Cited by 36 publications

References 56 publications

GEO-CWB: GIS-Based Algorithms for Parametrising the Responses of Catchment Dynamic Water Balance Regarding Climate and Land Use Changes

GEO-CWB: GIS-Based Algorithms for Parametrising the Responses of Catchment Dynamic Water Balance Regarding Climate and Land Use Changes

Morphological Expression Model for Geographic Elements Based on the Shape-Tree Principle

Analysis of Changes in Forest Structure using Point Clouds from Historical Aerial Photographs

Contact Info

Product

Resources

About