Delineation of Rural Settlement Boundaries in the Upper Reaches of Min River, China

2012 ◽  
Vol 204-208 ◽  
pp. 2744-2748
Author(s):  
Ming Tao Ding ◽  
Qing Wang
Keyword(s):  
Remote Sensing ◽  
Rural Settlement ◽  
Small Scale ◽  
Rural Settlements ◽  
Spatial Form ◽  
Min River ◽  
Prone Area ◽  
Boundary Characteristics ◽  
Spot 5 ◽  
Remote Sensing Interpretation

Settlement marks the crucial spatial form for human survival, while rural settlement serves as concentrated reflection of relationship between human and land in mountainous areas. The upper reaches of Min River is not only a multi-ethnic neighborhood, but also a typical eco-environmental vulnerable area as well as the prone area for mountain hazards. Taking SPOT-5 images as the significant data source for spatial analysis, this paper, in accordance with the different geographical positions that rural settlements are located, classifies rural settlement into three types: valley settlement, slope surface settlement and mountain settlement, aiming at boundary characteristics of which the paper confirms symbol for their remote sensing interpretation. With the combined approach of field survey and remote sensing interpretation, the paper finds out that in study area, there are 1667 natural settlements under 625 administrative villages, density of which is 0.025km2, and settlement distribution in this region enjoys the features of dispersity, low density as well as small scale.

Ephemeral Traces: Archaeology of a Medieval Rural Settlement

2021 ◽  
Vol 24 (1-2) ◽  
pp. 281-319
Author(s):  
Supriya Varma ◽  
Jaya Menon ◽  
Deepak Nair
Keyword(s):  
Rural Settlement ◽  
Small Scale ◽  
Complex Societies ◽  
Archaeological Research ◽  
Human History ◽  
Rural Settlements ◽  
Integrated Network ◽  
Domestic Spaces ◽  
Article Deal ◽  
Urban Settlements

For a considerable span of human history, following the adoption of agricultural economies but prior to the emergence of settlements that we label as ‘urban’, small permanent communities or ‘villages’ were the main types of settlements, as also were places intermittently occupied by mobile, nomadic groups. The context of these, however, differed from those small or rural settlements that existed within an integrated network of centres in urban and state societies. A third scenario is the case of small-scale rural settlements that may exist at the margins of complex societies and, hence, outside state/political control but could still be socially and economically networked with other centres. Thus, the concept of ‘rural’ needs to be situated and interrogated within specific political, social and economic contexts. While archaeological research has addressed village settlements in pre-urban periods, once urbanism and the state societies emerged, urban settlements became the focus of attention. Even though surveys have shown the distribution of settlements of varying sizes, we do not seem to know much about early historic and medieval villages, in terms of settlement layouts, domestic spaces, crafts, if any, or even subsistence practices. It is this lacuna that we are trying to address through our work at a small, rural settlement in the Upper Ganga-Yamuna Doab. Some of the questions that we raise in this article deal with terms like ‘urban’, or ‘rural’, whether these should be viewed as binaries, or whether it may be more fruitful, as others have suggested, to see settlements in a continuum.

scholarly journals Inheritance and Evolution of the Spatial Form of Traditional Rural Settlement

2019 ◽  
Vol 3 (5) ◽  
Author(s):  
Lianying Li ◽  
Dawei Xu ◽  
Xi Chen ◽  
Safa Fadelelseed
Keyword(s):  
Influencing Factors ◽  
Natural Environment ◽  
Rapid Development ◽  
Geographical Location ◽  
Rural Settlement ◽  
Rural Settlements ◽  
Spatial Form ◽  
Social Forms

As early as the farming era, traditional rural settlements have been deeply rooted in our country. The geographical location of rural settlements is inextricably linked to the natural environment, transportation and social forms. China has continuously increased its modernization and transformed rural settlements with the rapid development of society, which has led to the change in the spatial form of rural settlements and led to the demise of many traditional settlements. Therefore, the culture and traditions are inevitably deplorable. Settlement is the most primitive way of living in China. Therefore, it is necessary to understand and learn the culture as well as correctly transform the rural settlement. This paper aims to study the spatial form of traditional rural settlements. Based on the background research of traditional rural settlement spatial form, this paper discusses the influencing factors of settlement spatial form and the spatial form and evolution of rural settlements.

Small-scale vegetation mapping of large territories: perspectives of using modern remote sensing and GIS technologies, the Indian experiences

1996 ◽  
pp. 51-54 ◽  
Author(s):  
N. V. M. Unni
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Forest Cover ◽  
Human Life ◽  
Remote Sensing Data ◽  
Modern World ◽  
Small Scale ◽  
Vegetation Map ◽  
Gis Technologies ◽  
Forest Cover Mapping

The recognition of versatile importance of vegetation for the human life resulted in the emergence of vegetation science and many its applications in the modern world. Hence a vegetation map should be versatile enough to provide the basis for these applications. Thus, a vegetation map should contain not only information on vegetation types and their derivatives but also the geospheric and climatic background. While the geospheric information could be obtained, mapped and generalized directly using satellite remote sensing, a computerized Geographic Information System can integrate it with meaningful vegetation information classes for large areas. Such aft approach was developed with respect to mapping forest vegetation in India at. 1 : 100 000 (1983) and is in progress now (forest cover mapping at 1 : 250 000). Several review works reporting the experimental and operational use of satellite remote sensing data in India were published in the last years (Unni, 1991, 1992, 1994).

Retrospect of Settlement Pattern in Yakutia Based on Analysis of Population Censuses

2019 ◽  
Vol 26 (12) ◽  
pp. 39-51 ◽  
Author(s):  
T. N. Gavrilyeva ◽  
E. A. Kolomak ◽  
A. I. Zakharov ◽  
K. V. Khorunova
Keyword(s):  
Industrial Development ◽  
Settlement Pattern ◽  
Northern Region ◽  
Rural Settlement ◽  
Federal State ◽  
Research Database ◽  
Rural Settlements ◽  
Settlement System ◽  
Urban Settlement ◽  
Rural And Urban

The article assesses the intensity of transformation of settlement pattern in Yakutia, the largest northern region of Russia, based on an analysis of 1939-2010 censuses and contemporary statistics. Scope of the work includes the following: to assess key socio-economic results of rural and urban settlement pattern transformation in the 20th century, to determine the most persistent primary units of settlement pattern, and to identify current trends in the settlement pattern of Yakutia. The research database was built based on digitization of Federal State Statistics Service in the Sakha Republic (Yakutia) population censuses archives. The period under review shows a trend toward larger size of settlements due to two parallel processes: urbanization as a result of industrial development, and compression of rural settlement system due to amalgamation of rural settlements. From 1939 to the present time, Yakutia’s settlement system has been evolving from dispersed type to large settlement type. There were two major waves in the structuring of space in Yakutia. During the first one, caused by industrialization and complete collectivization, shrinking of rural settlement system was accompanied by setup of rural and urban settlements; it started in the 1930s and lasted until late 1950s. The second wave, concurrent with controlled compression of rural settlement pattern as part of elimination of unpromising sovkhoz state farms, was associated with a full-scale development of urban settlement pattern under planned Soviet deployment. Starting from 2002, market mechanisms have changed the direction of development of settlement system and spatial structure of economic activity. Despite several constraints, which include high transportation costs, focal development, key role of mining and resource sector, distinctive features of traditional economies and agriculture, agglomeration processes have gained momentum in the region. Spatial concentration of population is taking place at relatively high rates, primarily in the core of the system - Yakutsk agglomeration. Compression capacity of settlement system in the region is far from being exhausted, as evidenced by behavior of Theil and Herfindahl-Hirschman indices, as well as by average population density of settlements.

Structural geometry of Ikogosi warm spring, southwestern Nigeria: evidence from aeromagnetic and remote sensing interpretation

2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Naheem Banji Salawu ◽  
Julius Ogunmola Fatoba ◽  
Leke Sunday Adebiyi ◽  
Akinola Bolaji Eluwole ◽  
Nurudeen Kolawole Olasunkanmi ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Structural Geometry ◽  
Southwestern Nigeria ◽  
Warm Spring ◽  
Remote Sensing Interpretation

scholarly journals Neural Network-Based Urban Change Monitoring with Deep-Temporal Multispectral and SAR Remote Sensing Data

2021 ◽  
Vol 13 (15) ◽  
pp. 3000
Author(s):  
Georg Zitzlsberger ◽  
Michal Podhorányi ◽  
Václav Svatoň ◽  
Milan Lazecký ◽  
Jan Martinovič
Keyword(s):  
Neural Network ◽  
Remote Sensing ◽  
Urban Change ◽  
Small Scale ◽  
Atmospheric Effects ◽  
Wide Field ◽  
Ground Truth Data ◽  
Automated Method ◽  
Urban Monitoring ◽  
Sar Data

Remote-sensing-driven urban change detection has been studied in many ways for decades for a wide field of applications, such as understanding socio-economic impacts, identifying new settlements, or analyzing trends of urban sprawl. Such kinds of analyses are usually carried out manually by selecting high-quality samples that binds them to small-scale scenarios, either temporarily limited or with low spatial or temporal resolution. We propose a fully automated method that uses a large amount of available remote sensing observations for a selected period without the need to manually select samples. This enables continuous urban monitoring in a fully automated process. Furthermore, we combine multispectral optical and synthetic aperture radar (SAR) data from two eras as two mission pairs with synthetic labeling to train a neural network for detecting urban changes and activities. As pairs, we consider European Remote Sensing (ERS-1/2) and Landsat 5 Thematic Mapper (TM) for 1991–2011 and Sentinel 1 and 2 for 2017–2021. For every era, we use three different urban sites—Limassol, Rotterdam, and Liège—with at least 500km2 each, and deep observation time series with hundreds and up to over a thousand of samples. These sites were selected to represent different challenges in training a common neural network due to atmospheric effects, different geographies, and observation coverage. We train one model for each of the two eras using synthetic but noisy labels, which are created automatically by combining state-of-the-art methods, without the availability of existing ground truth data. To combine the benefit of both remote sensing types, the network models are ensembles of optical- and SAR-specialized sub-networks. We study the sensitivity of urban and impervious changes and the contribution of optical and SAR data to the overall solution. Our implementation and trained models are available publicly to enable others to utilize fully automated continuous urban monitoring.

scholarly journals Using a Groundwater Adjusted Water Balance Approach and Copulas to Evaluate Spatial Patterns and Dependence Structures in Remote Sensing Derived Evapotranspiration Products

2021 ◽  
Vol 13 (5) ◽  
pp. 853
Author(s):  
Mohsen Soltani ◽  
Julian Koch ◽  
Simon Stisen
Keyword(s):  
Remote Sensing ◽  
Water Balance ◽  
Spatial Pattern ◽  
Spatial Patterns ◽  
Principal Component ◽  
Small Scale ◽  
Dependence Structure ◽  
Test Case ◽  
Catchment Scale ◽  
Balance Approach

This study aims to improve the standard water balance evapotranspiration (WB ET) estimate, which is typically used as benchmark data for catchment-scale ET estimation, by accounting for net intercatchment groundwater flow in the ET calculation. Using the modified WB ET approach, we examine errors and shortcomings associated with the long-term annual mean (2002–2014) spatial patterns of three remote-sensing (RS) MODIS-based ET products from MODIS16, PML_V2, and TSEB algorithms at 1 km spatial resolution over Denmark, as a test case for small-scale, energy-limited regions. Our results indicate that the novel approach of adding groundwater net in water balance ET calculation results in a more trustworthy ET spatial pattern. This is especially relevant for smaller catchments where groundwater net can be a significant component of the catchment water balance. Nevertheless, large discrepancies are observed both amongst RS ET datasets and compared to modified water balance ET spatial pattern at the national scale; however, catchment-scale analysis highlights that difference in RS ET and WB ET decreases with increasing catchment size and that 90%, 87%, and 93% of all catchments have ∆ET < ±150 mm/year for MODIS16, PML_V2, and TSEB, respectively. In addition, Copula approach captures a nonlinear structure of the joint relationship with multiple densities amongst the RS/WB ET products, showing a complex dependence structure (correlation); however, among the three RS ET datasets, MODIS16 ET shows a closer spatial pattern to the modified WB ET, as identified by a principal component analysis also. This study will help improve the water balance approach by the addition of groundwater net in the ET estimation and contribute to better understand the true correlations amongst RS/WB ET products especially over energy-limited environments.

scholarly journals Characterization of Arctic mixed-phase cloud properties at small scale and coupling with satellite remote sensing

2017 ◽  
Author(s):  
Guillaume Mioche ◽  
Olivier Jourdan ◽  
Julien Delanoë ◽  
Christophe Gourbeyre ◽  
Guy Febvre ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Crystal Size ◽  
Mixed Phase ◽  
Ice Crystals ◽  
Small Scale ◽  
Vertical Profiles ◽  
Liquid Droplets ◽  
Ice Crystal ◽  
High Concentration ◽  
Ice Crystal Size

Abstract. This study aims to characterize the microphysical and optical properties of ice crystals and supercooled liquid droplets within low-level Arctic mixed-phase clouds (MPC). We compiled and analyzed cloud in situ measurements from 4 airborne campaigns (18 flights, 71 vertical profiles in MPC) over the Greenland Sea and the Svalbard region. Cloud phase discrimination and representative vertical profiles of number, size, mass and shapes of ice crystals and liquid droplets are assessed. The results show that the liquid phase dominates the upper part of the MPC with high concentration of small droplets (120 cm−3, 15&amp;tinsp;μm), and averaged LWC around 0.2 g m−3. The ice phase is found everywhere within the MPC layers, but dominates the properties in the lower part of the cloud and below where ice crystals precipitate down to the surface. The analysis of the ice crystal morphology highlights that irregulars and rimed are the main particle habit followed by stellars and plates. We hypothesize that riming and condensational growth processes (including the Wegener-Bergeron-Findeisein mechanism) are the main growth mechanisms involved in MPC. The differences observed in the vertical profiles of MPC properties from one campaign to another highlight that large values of LWC and high concentration of smaller droplets are possibly linked to polluted situations which lead to very low values of ice crystal size and IWC. On the contrary, clean situations with low temperatures exhibit larger values of ice crystal size and IWC. Several parameterizations relevant for remote sensing or modeling are also determined, such as IWC (and LWC) – extinction relationship, ice and liquid integrated water paths, ice concentration and liquid water fraction according to temperature. Finally, 4 flights collocated with active remote sensing observations from CALIPSO and CloudSat satellites are specifically analyzed to evaluate the cloud detection and cloud thermodynamical phase DARDAR retrievals. This comparison is valuable to assess the sub-pixel variability of the satellite measurements as well as their shortcomings/performance near the ground.

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