Estimation of entity‐level land use and its application in urban sectoral land use footprint: A bottom‐up model with emerging geospatial data

2021 ◽  
Author(s):  
Wei Xie ◽  
Huajun Yu ◽  
Yang Li ◽  
Min Dai ◽  
Xinyi Long ◽  
...  
Keyword(s):  
Land Use ◽  
Geospatial Data ◽  
Bottom Up

scholarly journals Catchworks: A Historical Water-Distribution System on Mountain Meadows in Central Slovakia

2021 ◽  
Vol 13 (3) ◽  
pp. 1107
Author(s):  
Martina Slámová ◽  
Juraj Hreško ◽  
František Petrovič ◽  
Henrich Grežo
Keyword(s):  
Land Use ◽  
Distribution System ◽  
Laser Scanning ◽  
Water Distribution ◽  
Irrigation System ◽  
Digital Terrain Model ◽  
Agricultural Landscapes ◽  
Geospatial Data ◽  
Sustainable Land Use ◽  
Narrow Channels

Water meadows or flooded meadows are known from many European countries. A historical irrigation system—catchworks—was identified in only one locality in Slovakia. This article brings a methodical approach to the identification of catchworks on mountain slopes. The main aim was to delineate catchworks using terrain and land use geospatial data intended to supplement existing data on catchworks from the field survey. The identification of shallow and narrow channels in the field is difficult, and their detection in a digital terrain model (DTM) and orthomosaic photos is also challenging. A detailed DTM elaborated from laser scanning data was not available. Therefore, we employed break lines of a Triangulated Irregular Network (TIN) model created by EUROSENSE Ltd. 2017, Bratislava, Slovakia. to determine microtopographic features on mountain slopes. Orthomosaics with adjusted red (R) green (G) and blue (B) band thresholds (digital numbers) in a time sequence of 16 years (2002–2018) and the Normalized Green-Red Difference Index (NGRDI) (2018) determined vital herbaceous vegetation and higher biomass. In both cases, the vegetation inside wet functional catchworks was differently coloured from the surroundings. In the case of dry catchworks, the identification relied only on microtopography features. The length of catchworks mapped in the field (1939.12 m; 2013) was supplied with potential catchworks detected from geospatial data (2877.18; 2018) and their total length in the study area increased above 59.74% (4816.30 m). Real and potential catchworks predominantly occupied historical grassland (meadows and pastures) (1952–1957) (4430.31; 91.99%). This result corresponds with the findings of foreign studies referring that catchworks on mountain slopes were related to livestock activities. They are important elements of sustainable land use with a water retention function in traditional agricultural landscapes.

scholarly journals Using OpenStreetMap to Create Land Use and Land Cover Maps

2019 ◽  
pp. 1100-1123
Author(s):  
Cidália Costa Fonte ◽  
Joaquim António Patriarca ◽  
Marco Minghini ◽  
Vyron Antoniou ◽  
Linda See ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Level Of Detail ◽  
Bottom Up ◽  
Corine Land Cover ◽  
Online System ◽  
Urban Regions ◽  
The World ◽  
Future Work ◽  
Land Cover Maps

OpenStreetMap (OSM) is a bottom up community-driven initiative to create a global map of the world. Yet the application of OSM to land use and land cover (LULC) mapping is still largely unexploited due to problems with inconsistencies in the data and harmonization of LULC nomenclatures with OSM. This chapter outlines an automated methodology for creating LULC maps using the nomenclature of two European LULC products: the Urban Atlas (UA) and CORINE Land Cover (CLC). The method is applied to two regions in London and Paris. The results show that LULC maps with a level of detail similar to UA can be obtained for the urban regions, but that OSM has limitations for conversion into the more detailed non-urban classes of the CLC nomenclature. Future work will concentrate on developing additional rules to improve the accuracy of the transformation and building an online system for processing the data.

State-Building Amidst Conflict

2019 ◽  
pp. 93-104
Author(s):  
Najum Mushtaq
Keyword(s):  
Land Use ◽  
State Formation ◽  
New Deal ◽  
Political Representation ◽  
State Building ◽  
Bottom Up ◽  
Member States ◽  
South Central ◽  
The New Deal

This chapter discusses the correlation between bottom-up local reconciliation and state-building in Somalia. It identifies key conflict actors in three regional states, and postulates general trends in local conflicts and how to address them. Rather than promoting grassroots reconciliation between various sets of clans engaged in localized conflicts throughout south-central Somalia, the process of forming Federal Member States has intensified and, in some cases, revived conflicts over regional boundaries, land use, and political representation. The urgency to meet the New Deal benchmarks has led to what independent observers consider to be contentious and hasty state-formation. The 2013–17 period was marred by a surge in clan-based violence as discontent grew among those clans that felt they received an unfair deal.

scholarly journals Mapping the Essential Urban Land Use in Changchun by Applying Random Forest and Multi-Source Geospatial Data

2020 ◽  
Vol 12 (15) ◽  
pp. 2488 ◽  
Author(s):  
Shouzhi Chang ◽  
Zongming Wang ◽  
Dehua Mao ◽  
Kehan Guan ◽  
Mingming Jia ◽  
...  
Keyword(s):  
Land Use ◽  
Random Forest ◽  
Urban Space ◽  
Semantic Segmentation ◽  
Urban Land ◽  
Urban Land Use ◽  
Geospatial Data ◽  
Classification Model ◽  
Rapid Acquisition ◽  
Street View

Understanding urban spatial pattern of land use is of great significance to urban land management and resource allocation. Urban space has strong heterogeneity, and thus there were many researches focusing on the identification of urban land use. The emergence of multiple new types of geospatial data provide an opportunity to investigate the methods of mapping essential urban land use. The popularization of street view images represented by Baidu Maps is benificial to the rapid acquisition of high-precision street view data, which has attracted the attention of scholars in the field of urban research. In this study, OpenStreetMap (OSM) was used to delineate parcels which were recognized as basic mapping units. A semantic segmentation of street view images was combined to enrich the multi-dimensional description of urban parcels, together with point of interest (POI), Sentinel-2A, and Luojia-1 nighttime light data. Furthermore, random forest (RF) was applied to determine the urban land use categories. The results show that street view elements are related to urban land use in the perspective of spatial distribution. It is reasonable and feasible to describe urban parcels according to the characteristics of street view elements. Due to the participation of street view, the overall accuracy reaches 79.13%. The contribution of street view features to the optimal classification model reached 20.6%, which is more stable than POI features.

scholarly journals Extracting Urban Land Use from Linked Open Geospatial Data

2015 ◽  
Vol 4 (4) ◽  
pp. 2109-2130 ◽  
Author(s):  
Gloria Calegari ◽  
Emanuela Carlino ◽  
Diego Peroni ◽  
Irene Celino
Keyword(s):  
Land Use ◽  
Urban Land ◽  
Urban Land Use ◽  
Geospatial Data

scholarly journals The changing contribution of top‐down and bottom‐up limitation of mesopredators during 220 years of land use and climate change

2017 ◽  
Vol 86 (3) ◽  
pp. 566-576 ◽  
Author(s):  
Marianne Pasanen‐Mortensen ◽  
Bodil Elmhagen ◽  
Harto Lindén ◽  
Roger Bergström ◽  
Märtha Wallgren ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Top Down ◽  
Bottom Up

scholarly journals Publicly Available Geographic Information Sources and Common Analysis Tools

EDIS ◽  
2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Satbyeol Shin ◽  
Young Gu Her
Keyword(s):  
Land Use ◽  
Precision Agriculture ◽  
Information Sources ◽  
Geographic Information ◽  
Natural Resources Management ◽  
Geospatial Data ◽  
Biological Engineering ◽  
Resources Management ◽  
Flood Zone ◽  
Gis Software

Geographic information and geospatial data are vital in many practical fields, including precision agriculture, natural resources management, flood zone mapping and management, and environmental assessment. This 6-page publication introduces publicly available geospatial data, including elevation, land use, soil, satellite imagery, and other thematic maps and GIS software commonly used in spatial analysis. Written by Satbyeol Shin and Young Gu Her, and published by the UF/IFAS Department of Agricultural and Biological Engineering, January 2021.

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